This is a table of type bigram and their frequencies. Use it to search & browse the list to learn more about your study carrel.
bigram | frequency |
---|---|
machine learning | 493 |
artificial intelligence | 429 |
index report | 407 |
linked data | 303 |
intelligence index | 230 |
ai index | 227 |
et al | 182 |
research support | 166 |
oclc research | 165 |
united states | 158 |
org cdmld | 120 |
cdmld screenshots | 120 |
digital collection | 118 |
archival discovery | 112 |
pdf https | 107 |
html https | 103 |
focus group | 94 |
deep learning | 93 |
org abs | 89 |
disciplinary research | 86 |
social interoperability | 86 |
line graph | 79 |
project team | 79 |
research data | 78 |
ff qbxq | 76 |
transforming metadata | 75 |
data visualization | 75 |
data management | 73 |
org research | 71 |
scientific collections | 70 |
training data | 70 |
improve digital | 67 |
collection discoverability | 66 |
group members | 64 |
report figure | 63 |
next generation | 63 |
one another | 62 |
support services | 60 |
university research | 58 |
hanging together | 57 |
line vec | 57 |
research enterprise | 57 |
natural language | 56 |
new york | 56 |
campus partnerships | 56 |
data model | 56 |
ai skills | 54 |
computer vision | 54 |
academic graph | 53 |
north america | 53 |
research blog | 52 |
stanford university | 52 |
microsoft academic | 51 |
com paper | 48 |
institutional collections | 47 |
digital scholarship | 47 |
attre vec | 46 |
job postings | 46 |
user interface | 46 |
png https | 46 |
international conference | 45 |
org digital | 44 |
social network | 44 |
extremely dissatisfied | 43 |
neither satisfied | 43 |
somewhat satisfied | 43 |
somewhat dissatisfied | 43 |
university libraries | 43 |
digital library | 43 |
extremely satisfied | 43 |
screenshots entity | 42 |
digital humanities | 41 |
computer science | 41 |
image annotator | 41 |
org https | 41 |
entity linking | 40 |
ai journal | 39 |
ai systems | 38 |
search searchterm | 38 |
coll search | 38 |
larger image | 37 |
image online | 37 |
digital preservation | 37 |
representation learning | 37 |
pilot project | 36 |
language processing | 36 |
ai ethics | 36 |
accessed september | 36 |
lord mayor | 35 |
png transforming | 35 |
new ai | 35 |
ai conferences | 34 |
ai conference | 34 |
neural networks | 34 |
knowledge base | 34 |
org wiki | 34 |
ai publications | 34 |
ai strategy | 33 |
open source | 33 |
digital collections | 33 |
journal publications | 33 |
node vec | 33 |
federal collections | 33 |
reasoning patterns | 33 |
edge embedding | 32 |
geographic area | 32 |
special collections | 32 |
research library | 31 |
neural network | 31 |
united kingdom | 31 |
ai phds | 30 |
per capita | 30 |
named entity | 30 |
european union | 30 |
public library | 29 |
subject headings | 29 |
way forum | 29 |
federal scientific | 29 |
computational linguistics | 28 |
ai skill | 28 |
research information | 28 |
reviewed ai | 28 |
total number | 28 |
working group | 28 |
higher education | 27 |
best practices | 27 |
poor people | 27 |
state university | 27 |
exact conn | 27 |
mode exact | 27 |
activity type | 27 |
conference publications | 27 |
skill penetration | 27 |
data curation | 26 |
mean std | 26 |
entity disambiguation | 26 |
minimum maximum | 26 |
maximum mean | 26 |
project collections | 26 |
std deviation | 26 |
recent years | 26 |
research areas | 26 |
code lib | 26 |
academic libraries | 26 |
research administration | 26 |
deviation variance | 26 |
variance count | 26 |
data mining | 26 |
field minimum | 26 |
contentdm metadata | 25 |
cultural heritage | 25 |
word embeddings | 25 |
page break | 25 |
burning glass | 25 |
data project | 25 |
renewable collections | 25 |
break page | 25 |
phd graduates | 24 |
dead bodies | 24 |
new data | 24 |
preprint arxiv | 24 |
ai job | 24 |
arxiv preprint | 24 |
place names | 24 |
field analyzer | 23 |
community agreements | 23 |
academic library | 23 |
ai hiring | 23 |
identity management | 23 |
relationship building | 22 |
contextual information | 22 |
oclc staff | 22 |
aba pcc | 22 |
every day | 22 |
showing rows | 22 |
science linkeddata | 22 |
forum participants | 22 |
cs phds | 22 |
node embedding | 22 |
security center | 22 |
wikibase user | 22 |
metadata specialists | 22 |
benefits generated | 22 |
unseen entities | 22 |
accessed may | 22 |
data sources | 22 |
gov aba | 22 |
data sets | 22 |
private investment | 22 |
taulbee survey | 22 |
participant webinarregistrantdidnotattend | 22 |
related entities | 22 |
penetration rate | 22 |
edge features | 22 |
user experience | 21 |
discovery delivery | 21 |
academic affairs | 21 |
webinarattendee participant | 21 |
make sure | 21 |
topic modeling | 21 |
next steps | 21 |
many people | 21 |
convolutional neural | 21 |
node embeddings | 21 |
ai policy | 21 |
wide range | 21 |
screenshots explorer | 21 |
library services | 21 |
random walk | 21 |
oecd definition | 21 |
given country | 21 |
research analytics | 21 |
library partnership | 21 |
world total | 21 |
big data | 21 |
edge embeddings | 21 |
dissatisfied extremely | 21 |
research development | 21 |
field webinarattendee | 20 |
webinarregistrantdidnotattend total | 20 |
data field | 20 |
entity embeddings | 20 |
explorer view | 20 |
research libraries | 20 |
may also | 20 |
count webinarattendee | 20 |
user study | 20 |
major ai | 20 |
crowd sourcing | 20 |
economic analyses | 20 |
research themes | 20 |
learning techniques | 20 |
conference papers | 20 |
information management | 20 |
netbase quid | 20 |
structural change | 19 |
network embedding | 19 |
times higher | 19 |
operating costs | 19 |
pdf http | 19 |
supervised learning | 19 |
visualization services | 19 |
national ai | 19 |
human rights | 19 |
org pdf | 19 |
ai technologies | 19 |
ai research | 19 |
notre dame | 19 |
ai ml | 19 |
ai patent | 19 |
nzyznjm mzyynzm | 18 |
oda otezmttbuzo | 18 |
ethical challenges | 18 |
relative ai | 18 |
place name | 18 |
mtfamtywotc ndyxntk | 18 |
mzyynzm mtfamtywotc | 18 |
new ways | 18 |
dead cart | 18 |
xxx enrichsource | 18 |
different types | 18 |
full text | 18 |
institutional research | 18 |
institutional collection | 18 |
tail entities | 18 |
campus units | 18 |
azure sentinel | 18 |
com https | 18 |
ndyxntk na | 18 |
working meeting | 18 |
travel funding | 18 |
open access | 18 |
weighted line | 18 |
zxjqywdlozm oda | 18 |
default files | 18 |
great many | 18 |
sites default | 18 |
speech recognition | 18 |
transportation hub | 18 |
participants noted | 18 |
search results | 18 |
com news | 18 |
otezmttbuzo nzyznjm | 18 |
least one | 18 |
esc publicationcoverpdf | 18 |
ai applications | 18 |
gov sites | 18 |
enrichid rgreq | 18 |
faculty affairs | 18 |
org anthology | 17 |
satisfied somewhat | 17 |
satisfied neither | 17 |
east asia | 17 |
org en | 17 |
rf http | 17 |
face recognition | 17 |
ai system | 17 |
contract spending | 17 |
one informant | 17 |
dissatisfied somewhat | 17 |
wikibase environment | 17 |
publicationcoverpdf https | 17 |
struc vec | 17 |
cra taulbee | 17 |
finding aid | 17 |
creative work | 17 |
recent updates | 17 |
org grscicoll | 17 |
com en | 17 |
minnesota digital | 17 |
metadata managers | 17 |
archival collections | 17 |
facial recognition | 17 |
image recognition | 17 |
skills penetration | 17 |
org institution | 16 |
easel pad | 16 |
public health | 16 |
somewhat agree | 16 |
library staff | 16 |
central asia | 16 |
somewhat disagree | 16 |
knowledge graph | 16 |
field physic | 16 |
knowledge discovery | 16 |
reference material | 16 |
entity description | 16 |
publications number | 16 |
areas data | 16 |
neither agree | 16 |
weak labelling | 16 |
global ai | 16 |
new ideas | 16 |
chicago place | 16 |
gold entity | 16 |
spend minutes | 16 |
services provided | 16 |
national institute | 16 |
strongly disagree | 16 |
physic mode | 16 |
data environment | 16 |
new knowledge | 16 |
usp sharing | 16 |
ai education | 16 |
project participants | 16 |
social networks | 16 |
ai phd | 16 |
strongly agree | 16 |
structured data | 16 |
data pilot | 15 |
linkeddata linked | 15 |
project passage | 15 |
will help | 15 |
acm sigkdd | 15 |
scholarship centers | 15 |
affinity map | 15 |
data science | 15 |
research project | 15 |
white paper | 15 |
first step | 15 |
chapter highlights | 15 |
drug discovery | 15 |
image classification | 15 |
content uploads | 15 |
metadata management | 15 |
archival description | 15 |
los angeles | 15 |
error rate | 15 |
poor man | 15 |
past years | 15 |
given network | 15 |
new cs | 15 |
public data | 15 |
digital curation | 15 |
themes data | 15 |
let us | 15 |
publicly available | 15 |
robotics vision | 15 |
community engagement | 15 |
south korea | 15 |
participants also | 15 |
orcid adoption | 15 |
responsible organization | 15 |
edge classification | 15 |
life cycle | 15 |
network webbing | 15 |
ai strategies | 15 |
edge representation | 15 |
total count | 14 |
description metadata | 14 |
asia pacific | 14 |
generative adversarial | 14 |
smithsonian institution | 14 |
azure security | 14 |
trading cards | 14 |
risk management | 14 |
persistent identifiers | 14 |
even though | 14 |
edge clustering | 14 |
work together | 14 |
years ago | 14 |
labor demand | 14 |
us research | 14 |
temple university | 14 |
com article | 14 |
made available | 14 |
european commission | 14 |
entity descriptions | 14 |
campus relationships | 14 |
org collection | 14 |
machine translation | 14 |
come near | 14 |
last years | 14 |
adversarial networks | 14 |
see box | 14 |
screenshots cdm | 14 |
public services | 14 |
ai investment | 14 |
europe central | 14 |
journal citations | 13 |
org metadata | 13 |
university press | 13 |
html http | 13 |
campus stakeholders | 13 |
mckinsey company | 13 |
validation set | 13 |
atp systems | 13 |
data analysis | 13 |
object detection | 13 |
north carolina | 13 |
academic librarianship | 13 |
controlled vocabularies | 13 |
digital objects | 13 |
sigkdd international | 13 |
changes clusters | 13 |
brian lavoie | 13 |
report chapter | 13 |
please describe | 13 |
dissatisfied webinarattendee | 13 |
contentdm linked | 13 |
context map | 13 |
training set | 13 |
linkedin members | 13 |
every one | 13 |
given year | 13 |
patent publications | 13 |
random walks | 13 |
latin america | 13 |
success stories | 13 |
tech social | 13 |
focus areas | 13 |
type affordance | 13 |
transit strike | 13 |
steps clusters | 13 |
ai adoption | 13 |
edge attributes | 13 |
word embedding | 13 |
use cases | 13 |
information science | 13 |
information systems | 13 |
five minutes | 13 |
mad tea | 13 |
global average | 13 |
columbia university | 13 |
custom pages | 12 |
text analysis | 12 |
average number | 12 |
national science | 12 |
whole city | 12 |
miami libraries | 12 |
cost categories | 12 |
next week | 12 |
collective homophily | 12 |
congressional record | 12 |
social science | 12 |
one person | 12 |
authority files | 12 |
related publications | 12 |
archival materials | 12 |
cleveland public | 12 |
total extremely | 12 |
openrefine reconciliation | 12 |
source data | 12 |
way project | 12 |
research activities | 12 |
help us | 12 |
user needs | 12 |
social media | 12 |
national forum | 12 |
people began | 12 |
finding aids | 12 |
project wikibase | 12 |
plain text | 12 |
data set | 12 |
management systems | 12 |
collection field | 12 |
plenary presentations | 12 |
learning applications | 12 |
british library | 12 |
training time | 12 |
project staff | 12 |
virtual reading | 12 |
org tr | 12 |
sparql query | 12 |
collection development | 12 |
library collections | 12 |
two months | 12 |
pleased god | 12 |
extra training | 12 |
ieee transactions | 12 |
facilitated activities | 12 |
disagree strongly | 12 |
url http | 12 |
pattern recognition | 12 |
culture collection | 12 |
middle east | 12 |
many different | 12 |
learning algorithms | 12 |
use case | 12 |
shapley value | 12 |
ai jobs | 11 |
different languages | 11 |
fell sick | 11 |
markov chain | 11 |
many ways | 11 |
south asia | 11 |
weekly bill | 11 |
large scale | 11 |
providing access | 11 |
research publications | 11 |
institutional repositories | 11 |
gov https | 11 |
text strings | 11 |
new tools | 11 |
weak labeling | 11 |
intelligence https | 11 |
go back | 11 |
ethical concerns | 11 |
dublin core | 11 |
better understand | 11 |
ai principles | 11 |
five years | 11 |
tail examples | 11 |
research life | 11 |
federal institutional | 11 |
user studies | 11 |
three days | 11 |
will also | 11 |
data https | 11 |
field reposa | 11 |
please specify | 11 |
popular entities | 11 |
information professionals | 11 |
image collections | 11 |
go away | 11 |
source software | 11 |
skill sets | 11 |
technical services | 11 |
infected people | 11 |
next day | 11 |
trading card | 11 |
allow us | 11 |
support stakeholders | 11 |
reposa mode | 11 |
data structure | 11 |
labeled data | 11 |
journal articles | 11 |
vqa challenge | 11 |
african american | 11 |
bruce washburn | 11 |
value proposition | 11 |
data structures | 11 |
wikibase entity | 11 |
central bank | 11 |
affinity groups | 11 |
automated information | 11 |
bloomberg government | 11 |
great deal | 11 |
stepney parish | 11 |
authority control | 11 |
one day | 11 |
across institutions | 11 |
descriptive metadata | 11 |
also noted | 11 |
reading room | 11 |
public service | 11 |
type consistency | 11 |
kg ent | 11 |
private ai | 11 |
usd million | 11 |
org entity | 11 |
metadata services | 11 |
infected houses | 11 |
six years | 11 |
semantic web | 11 |
average precision | 11 |
went away | 11 |
test set | 11 |
huntington library | 11 |
processing systems | 11 |
bootleg model | 11 |
military robots | 10 |
sciences https | 10 |
will become | 10 |
vector space | 10 |
knowledge bases | 10 |
ux usability | 10 |
across campus | 10 |
country people | 10 |
art museum | 10 |
ai vibrancy | 10 |
county historical | 10 |
current affiliation | 10 |
source metadata | 10 |
logan county | 10 |
grscicoll collection | 10 |
another informant | 10 |
learning approaches | 10 |
org web | 10 |
hundred thousand | 10 |
question answering | 10 |
one hundred | 10 |
user fees | 10 |
among us | 10 |
learning models | 10 |
data visualizations | 10 |
track faculty | 10 |
pdf ta | 10 |
natural history | 10 |
sick people | 10 |
iq bx | 10 |
botanical gardens | 10 |
biomedical sciences | 10 |
three weeks | 10 |
whole family | 10 |
rn al | 10 |
research projects | 10 |
take place | 10 |
among others | 10 |
future use | 10 |
cost recovery | 10 |
learning systems | 10 |
virginia tech | 10 |
chine learning | 10 |
photograph collection | 10 |
generative machine | 10 |
th acm | 10 |
constance malpas | 10 |
theorem proving | 10 |
sharing ta | 10 |
east north | 10 |
human performance | 10 |
around shared | 10 |
library partners | 10 |
law enforcement | 10 |
org content | 10 |
ai patents | 10 |
women writers | 10 |
cultural materials | 10 |
build connections | 10 |
embedding space | 10 |
spotted fever | 10 |
shared regional | 10 |
historical society | 10 |
national projects | 10 |
radius ru | 10 |
task group | 10 |
org collections | 10 |
type prediction | 10 |
pcc taskgroup | 10 |
edu research | 10 |
jasper wood | 10 |
hiring rate | 10 |
participant advisors | 10 |
net profile | 10 |
improve archival | 10 |
ablation study | 10 |
great number | 10 |
north africa | 10 |
told us | 10 |
within doors | 10 |
computational tools | 10 |
downstream tasks | 10 |
community members | 10 |
specialized ai | 10 |
around archival | 10 |
ai model | 10 |
reconciliation endpoint | 10 |
practical ai | 10 |
thousand people | 10 |
ai programs | 10 |
drive folders | 10 |
elsevier scopus | 10 |
much less | 9 |
collaboration communication | 9 |
information network | 9 |
across multiple | 9 |
see figure | 9 |
affairs units | 9 |
ring bell | 9 |
policy papers | 9 |
conversion rate | 9 |
graduate school | 9 |
candidate list | 9 |
chemical synthesis | 9 |
data storage | 9 |
cc paper | 9 |
name ssi | 9 |
com drive | 9 |
io https | 9 |
literature review | 9 |
search engines | 9 |
responding dscs | 9 |
regional national | 9 |
software development | 9 |
highly technical | 9 |
financial services | 9 |
th international | 9 |
york times | 9 |
genetic resources | 9 |
several years | 9 |
group discussions | 9 |
another way | 9 |
automated theorem | 9 |
usda ars | 9 |
universities around | 9 |
unsupervised learning | 9 |
data collection | 9 |
latter end | 9 |
race ethnicity | 9 |
national security | 9 |
course offerings | 9 |
take notice | 9 |
december conversion | 9 |
improve discovery | 9 |
america caribbean | 9 |
org licenses | 9 |
specific knowledge | 9 |
archived websites | 9 |
information literacy | 9 |
weekly bills | 9 |
ai algorithms | 9 |
library catalog | 9 |
computing research | 9 |
many years | 9 |
organize around | 9 |
wikipedia page | 9 |
named entities | 9 |
top universities | 9 |
make sense | 9 |
ml courses | 9 |
kg relation | 9 |
great numbers | 9 |
survey results | 9 |
private companies | 9 |
th congress | 9 |
original network | 9 |
across different | 9 |
candidate ranking | 9 |
web https | 9 |
executive summary | 9 |
metadata reconciliation | 9 |
entity recognition | 9 |
parish officers | 9 |
access points | 9 |
related work | 9 |
detection challenge | 9 |
com science | 9 |
machine learn | 9 |
scaled values | 9 |
language models | 9 |
may need | 9 |
management system | 9 |
liberating structures | 9 |
information processing | 9 |
data will | 9 |
joint research | 9 |
one thing | 9 |
cra survey | 9 |
services contentdm | 9 |
neural information | 9 |
wikidata types | 9 |
shared opportunities | 9 |
structural loss | 9 |
large amount | 9 |
screenshots image | 9 |
science data | 9 |
research events | 9 |
image viewer | 9 |
research service | 9 |
com articles | 9 |
complex adaptive | 9 |
literary studies | 9 |
different sources | 9 |
new applications | 9 |
will likely | 9 |
ai labor | 9 |
several times | 9 |
annette dortmund | 9 |
metadata creation | 9 |
ai papers | 9 |
metadata standards | 9 |
first time | 9 |
matrix actions | 9 |
harvard university | 9 |
south africa | 9 |
help researchers | 9 |
interagency working | 9 |
ethical sensitivity | 9 |
conceptual model | 9 |
information environment | 9 |
large datasets | 9 |
wikimedia commons | 9 |
research association | 9 |
national strategy | 9 |
capita terms | 9 |
literary scholars | 9 |
published ai | 9 |
campus research | 9 |
bcollection name | 9 |
better understanding | 9 |
atp system | 9 |
independent agents | 9 |
learning process | 9 |
new services | 9 |
edu https | 9 |
holly tomren | 9 |
ve ra | 9 |
faculty departures | 9 |
case studies | 9 |
take care | 9 |
library users | 9 |
data testing | 9 |
ai capabilities | 9 |
ai faculty | 9 |
org wp | 9 |
teach students | 9 |
saharan africa | 9 |
project management | 9 |
robot installations | 9 |
query service | 9 |
string matching | 8 |
come back | 8 |
view https | 8 |
several participants | 8 |
factual scenarios | 8 |
innovation patents | 8 |
classical chinese | 8 |
relation extraction | 8 |
using ai | 8 |
central banks | 8 |
campus unit | 8 |
test data | 8 |
multiple times | 8 |
carnegie mellon | 8 |
temporal shapley | 8 |
one end | 8 |
capita total | 8 |
bmi hhb | 8 |
application form | 8 |
com technology | 8 |
traditional library | 8 |
data modeling | 8 |
collection managers | 8 |
table shows | 8 |
dreadful manner | 8 |
wikibase ecosystem | 8 |
org index | 8 |
related keywords | 8 |
ai development | 8 |
international federation | 8 |
new zealand | 8 |
data points | 8 |
well known | 8 |
eastern kentucky | 8 |
library profession | 8 |
emerging themes | 8 |
technology work | 8 |
national library | 8 |
future work | 8 |
technology policy | 8 |
berea college | 8 |
chicago reading | 8 |
one might | 8 |
pose estimation | 8 |
science foundation | 8 |
index survey | 8 |
authority records | 8 |
semantic segmentation | 8 |
forum design | 8 |
jrc jrc | 8 |
type classification | 8 |
htm https | 8 |
per table | 8 |
libraries will | 8 |
communications technology | 8 |
past four | 8 |
section presents | 8 |
culture shift | 8 |
reading chicago | 8 |
managers focus | 8 |
take advantage | 8 |
one participant | 8 |
oclc developed | 8 |
go beyond | 8 |
move forward | 8 |
regularization scheme | 8 |
ars culture | 8 |
patents number | 8 |
national park | 8 |
partners metadata | 8 |
federal agencies | 8 |
compound objects | 8 |
collections https | 8 |
staffing requirements | 8 |
data preparation | 8 |
per year | 8 |
resource description | 8 |
agree somewhat | 8 |
may say | 8 |
one way | 8 |
one interviewee | 8 |
membership survey | 8 |
first two | 8 |
decision trees | 8 |
empirical methods | 8 |
next year | 8 |
learning papers | 8 |
response rate | 8 |
digital projects | 8 |
pilot participants | 8 |
fair use | 8 |
embedding methods | 8 |
fe re | 8 |
mellon university | 8 |
dimensional vector | 8 |
see note | 8 |
data services | 8 |
ai https | 8 |
wikibase data | 8 |
gov details | 8 |
advanced digital | 8 |
biological sciences | 8 |
biscuit baker | 8 |
one side | 8 |
digital archives | 8 |
visualization support | 8 |
contentdm catcher | 8 |
graph neural | 8 |
technology workers | 8 |
disagree somewhat | 8 |
latent space | 8 |
high performance | 8 |
ai lam | 8 |
error rates | 8 |
name authority | 8 |
searchterm templana | 8 |
learning research | 8 |
intelligence strategy | 8 |
ev ie | 8 |
performance computing | 8 |
agree neither | 8 |
levenshtein distance | 8 |
subject matter | 8 |
wiml workshop | 8 |
examples include | 8 |
hiring index | 8 |
will need | 8 |
industrial robot | 8 |
discovery layers | 8 |
word vectors | 8 |
option value | 8 |
convolutional networks | 8 |
contextual data | 8 |
will allow | 8 |
google products | 7 |
faculty member | 7 |
closeness centrality | 7 |
public square | 7 |
technical performance | 7 |
decision support | 7 |
using google | 7 |
marginalized populations | 7 |
vector representations | 7 |
federal government | 7 |
paper efficientnet | 7 |
make decisions | 7 |
testing tool | 7 |
shall speak | 7 |
bibliographic metadata | 7 |
joint conference | 7 |
see also | 7 |
contentdm wikibase | 7 |
article view | 7 |
additional details | 7 |
sota model | 7 |
significant interest | 7 |
standard regularization | 7 |
early stages | 7 |
modeling tool | 7 |
allows us | 7 |
org doi | 7 |
skill cluster | 7 |
four academic | 7 |
ai startups | 7 |
metadata records | 7 |
website customization | 7 |
model scaling | 7 |
github repository | 7 |
gender diversity | 7 |
gov northeast | 7 |
creative commons | 7 |
went along | 7 |
rethinking model | 7 |
annual meeting | 7 |
cs departments | 7 |
future staffing | 7 |
also help | 7 |
relationships among | 7 |
physical safety | 7 |
shared data | 7 |
high tech | 7 |
faculty members | 7 |
org machine | 7 |
contentdm collections | 7 |
across disciplines | 7 |
academic years | 7 |
entity embedding | 7 |
pilot survey | 7 |
doc vec | 7 |
contentdm custom | 7 |
education institutions | 7 |
steven folsom | 7 |
established identity | 7 |
digital libraries | 7 |
digital content | 7 |
scholarly press | 7 |
authority file | 7 |
tool selection | 7 |
last decade | 7 |
library systems | 7 |
also use | 7 |
quantitative feedback | 7 |
forum playbook | 7 |
long tail | 7 |
remind people | 7 |
computer scientists | 7 |
human services | 7 |
microso academic | 7 |
computational methods | 7 |
powered military | 7 |
preview chapter | 7 |
tools like | 7 |
downstream model | 7 |
pcc task | 7 |
project activities | 7 |
every house | 7 |
synthesis planning | 7 |
short courses | 7 |
many participants | 7 |
core research | 7 |
feedback survey | 7 |
new discovery | 7 |
large number | 7 |
deepfake detection | 7 |
global comparison | 7 |
com world | 7 |
receive travel | 7 |
candidate generation | 7 |
neural net | 7 |
level performance | 7 |
data analytics | 7 |
heritage materials | 7 |
reinforcement learning | 7 |
art performance | 7 |
global economy | 7 |
australian national | 7 |
digital materials | 7 |
whole nation | 7 |
research center | 7 |
many ai | 7 |
something new | 7 |
node features | 7 |
one man | 7 |
one place | 7 |
plant germplasm | 7 |
accessed january | 7 |
discovery systems | 7 |
library metadata | 7 |
southwark side | 7 |
learning representations | 7 |
structural resources | 7 |
trolley problem | 7 |
pine mountain | 7 |
research centre | 7 |
embedding algorithms | 7 |
yale university | 7 |
papers published | 7 |
health biomedical | 7 |
embedding size | 7 |
area beltsville | 7 |
barc beltsville | 7 |
feel free | 7 |
lla rs | 7 |
collection metadata | 7 |
just one | 7 |
computing phds | 7 |
order title | 7 |
divergent thinking | 7 |
three hundred | 7 |
angeles dodgers | 7 |
com computational | 7 |
report ta | 7 |
information technology | 7 |
intellectual property | 7 |
commons embedded | 7 |
edu projects | 7 |
sample countries | 7 |
contentdm advanced | 7 |
conference citations | 7 |
work well | 7 |
protein folding | 7 |
resource sharing | 7 |
industrial robots | 7 |
academic articles | 7 |
mining tasks | 7 |
use different | 7 |
humanities research | 7 |
type signals | 7 |
labor market | 7 |
word vector | 7 |
information networks | 7 |
employment status | 7 |
campus social | 7 |
york university | 7 |
loss function | 7 |
feature reconstruction | 7 |
authority work | 7 |
came home | 7 |
research community | 7 |
user demand | 7 |
federal departments | 7 |
obtain scaled | 7 |
com spreadsheets | 7 |
language model | 7 |
dave gray | 7 |
figure explorer | 7 |
library resources | 7 |
next step | 7 |
widely used | 7 |
ad asc | 7 |
dead carts | 7 |
faculty activity | 7 |
learning methods | 7 |
current role | 7 |
com library | 7 |
india united | 7 |
significant increase | 7 |
news article | 7 |
org http | 7 |
skills necessary | 7 |
library administration | 7 |
ml techniques | 7 |
external sources | 7 |
planning group | 7 |
advanced website | 7 |
job titles | 7 |
making connections | 7 |
photo courtesy | 7 |
depicted subjects | 7 |
make use | 7 |
graph theory | 7 |
baseline methods | 7 |
com blog | 7 |
two nodes | 7 |
computer engineering | 7 |
facilitation techniques | 7 |
value added | 7 |
san diego | 7 |
survey respondents | 7 |
linkeddata contentdm | 7 |
add value | 7 |
made use | 7 |
paradigm shift | 7 |
network representation | 7 |
accepted papers | 7 |
two thousand | 7 |
two men | 7 |
received travel | 7 |
adaptive systems | 7 |
service institutions | 7 |
rare entities | 7 |
chapter preview | 7 |
oklahoma state | 7 |
word error | 7 |
commercially available | 7 |
starting point | 7 |
among new | 7 |
index card | 7 |
whole families | 7 |
took place | 7 |
wikipedia data | 7 |
project background | 7 |
digital skills | 7 |
org ta | 7 |
campus ict | 7 |
generative models | 7 |
journal papers | 7 |
many times | 7 |
bibliographic records | 7 |
time period | 7 |
overview chapter | 7 |
indiana university | 7 |
social sciences | 7 |
long time | 7 |
managing metadata | 7 |
ai talent | 6 |
research questions | 6 |
pages orcid | 6 |
figure shows | 6 |
creative works | 6 |
community detection | 6 |
edu utk | 6 |
oclcresearch oclc | 6 |
campus relationship | 6 |
paper titles | 6 |
arxiv papers | 6 |
case study | 6 |
good example | 6 |
ostp memo | 6 |
policy observatory | 6 |
shared entity | 6 |
henri lipmanowicz | 6 |
patent citations | 6 |
attributed edge | 6 |
showing contextual | 6 |
working relationships | 6 |
global institute | 6 |
hesburgh libraries | 6 |
library technology | 6 |
poor men | 6 |
files ostp | 6 |
inductive setting | 6 |
library data | 6 |
distressed people | 6 |
additional information | 6 |
campus environment | 6 |
com support | 6 |
mention detection | 6 |
positive feedback | 6 |
annotation process | 6 |
pilot wikibase | 6 |
jason cohen | 6 |
map visualization | 6 |
shot learning | 6 |
without weak | 6 |
responsible organizations | 6 |
funding pgm | 6 |
gov funding | 6 |
localization task | 6 |
will provide | 6 |
pgm summ | 6 |
managing resistance | 6 |
learning algorithm | 6 |
informants reported | 6 |
top level | 6 |
working together | 6 |
disciplinary ml | 6 |
collection management | 6 |
oxford university | 6 |
will take | 6 |
congressional session | 6 |
deep fakes | 6 |
places depicted | 6 |
text search | 6 |
research https | 6 |
look like | 6 |
past decade | 6 |
model performs | 6 |
available online | 6 |
participants felt | 6 |
project academic | 6 |
project partners | 6 |
carolina state | 6 |
people came | 6 |
new properties | 6 |
progress webinar | 6 |
page length | 6 |
report number | 6 |
costs related | 6 |
jason roy | 6 |
brain drain | 6 |
automated categorization | 6 |
fixed regularization | 6 |
lc digitizing | 6 |
management infrastructure | 6 |
operational costs | 6 |
real life | 6 |
top skills | 6 |
type embedding | 6 |
campus partners | 6 |
new methods | 6 |
graph embedding | 6 |
screenshots field | 6 |
travel support | 6 |
action plan | 6 |
historical research | 6 |
carried away | 6 |
org data | 6 |
give notice | 6 |
best describes | 6 |
evaluated using | 6 |
stats https | 6 |
input data | 6 |
public investment | 6 |
taken sick | 6 |
skills across | 6 |
screenshots retriever | 6 |
mckinsey global | 6 |
will use | 6 |
generate new | 6 |
large collections | 6 |
ethics principles | 6 |
collections policies | 6 |
ethical issues | 6 |
data available | 6 |
ur ac | 6 |
org dhq | 6 |
type embeddings | 6 |
home page | 6 |
academic year | 6 |
piotr bielak | 6 |
institutional affiliation | 6 |
search terms | 6 |
springer international | 6 |
entity management | 6 |
rx iv | 6 |
edge feature | 6 |
data store | 6 |
literary research | 6 |
lessons learned | 6 |
spend five | 6 |
commons attribution | 6 |
new skills | 6 |
metadata describing | 6 |
ned system | 6 |
research impact | 6 |
programming languages | 6 |
twenty thousand | 6 |
see table | 6 |
gov files | 6 |
relation embeddings | 6 |
mario einaudi | 6 |
member states | 6 |
may include | 6 |
came near | 6 |
rf https | 6 |
sexual orientation | 6 |
search collection | 6 |
prodigious number | 6 |
scientific collxns | 6 |
standard reference | 6 |
batch processing | 6 |
key findings | 6 |
also identified | 6 |
moral rules | 6 |
wikibase item | 6 |
two parishes | 6 |
iiif explorer | 6 |
autonomous ai | 6 |
memo scientific | 6 |
elliot williams | 6 |
discovery system | 6 |
enough time | 6 |
forum addressed | 6 |
institutional repository | 6 |
every parish | 6 |
will make | 6 |
opportunities challenges | 6 |
trained using | 6 |
jeff mixter | 6 |
report ai | 6 |
providing data | 6 |
jobs posted | 6 |
networks https | 6 |
gov standards | 6 |
university library | 6 |
type information | 6 |
support activities | 6 |
th century | 6 |
small group | 6 |
papers per | 6 |
various colors | 6 |
current employment | 6 |
karen smith | 6 |
generated images | 6 |
temporal action | 6 |
discovery tools | 6 |
federal institutions | 6 |
constraint violation | 6 |
data value | 6 |
final report | 6 |
com www | 6 |
leverages wikidata | 6 |
image generation | 6 |
events devconnect | 6 |
author names | 6 |
hb xq | 6 |
scholarly communication | 6 |
first day | 6 |
photos fnmr | 6 |
bootleg embeddings | 6 |
forty days | 6 |
application process | 6 |
commonly used | 6 |
ground truth | 6 |
john hayward | 6 |
will go | 6 |
challenges related | 6 |
centered artificial | 6 |
cs phd | 6 |
press releases | 6 |
one year | 6 |
keith mccandless | 6 |
adopting ai | 6 |
georgia tech | 6 |
archival delivery | 6 |
different ways | 6 |
much higher | 6 |
chatham ewing | 6 |
will appear | 6 |
taskgroup pcc | 6 |
says john | 6 |
day day | 6 |
team will | 6 |
research hanging | 6 |
two years | 6 |
three datasets | 6 |
org leadership | 6 |
order asc | 6 |
one week | 6 |
rank sort | 6 |
org papers | 6 |
citations attributed | 6 |
digital assistants | 6 |
reference materials | 6 |
markov chains | 6 |
lean startup | 6 |
across systems | 6 |
ml research | 6 |
mean average | 6 |
national museum | 6 |
highest value | 6 |
entity memorization | 6 |
textual signals | 6 |
length sort | 6 |
dimensional space | 6 |
sort order | 6 |
four years | 6 |
people went | 6 |
different institutions | 6 |
information system | 6 |
poor distressed | 6 |
institutional collaboration | 6 |
data transformation | 6 |
cc ur | 6 |
human pose | 6 |
national artificial | 6 |
oboc books | 6 |
help identify | 6 |
asc cols | 6 |
glass data | 6 |
pims id | 6 |
per week | 6 |
explorer search | 6 |
st century | 6 |
memorization module | 6 |
knew nothing | 6 |
provide additional | 6 |
concept entities | 6 |
work part | 6 |
many died | 6 |
charles ii | 6 |
text files | 6 |
gender identity | 6 |
autonomous driving | 6 |
attributed graph | 6 |
australian government | 6 |
web application | 6 |
tail disambiguation | 6 |
two main | 6 |
university introduction | 6 |
problem solving | 6 |
without extra | 6 |
infected house | 6 |
primary duties | 6 |
fca https | 6 |
analytics orcid | 6 |
paul clough | 6 |
one institution | 6 |
good enough | 6 |
poor fellow | 6 |
direct edge | 6 |
reasoning pattern | 6 |
autonomous vehicles | 6 |
literary analysis | 6 |
least ai | 6 |
using machine | 6 |
relationships across | 6 |
across contentdm | 6 |
intelligence machine | 6 |
professional services | 6 |
edu digital | 6 |
contentdm sites | 6 |
imagenet classification | 6 |
together blog | 6 |
contentdm pilot | 6 |
minutes xx | 6 |
national bibliographic | 6 |
development journal | 6 |
activity reporting | 6 |
wikidata identifier | 6 |
ill io | 6 |
two hundred | 6 |
planned project | 6 |
yoshua bengio | 6 |
names associated | 6 |
using linked | 6 |
two examples | 6 |
level ai | 6 |
pywikibot overview | 6 |
scholarly communications | 6 |
black speakers | 6 |
publications oclcresearch | 6 |
college research | 6 |
sourcing ideas | 6 |
book one | 6 |
participant feedback | 6 |
fnmr fmr | 6 |
inverse popularity | 6 |
michael carroll | 6 |
another person | 6 |
one night | 6 |
remote sensing | 6 |
tail performance | 6 |
contentdm system | 6 |
many libraries | 6 |
across occupations | 6 |
dhq vol | 6 |
citations per | 6 |
keyword search | 6 |
asc https | 6 |
global survey | 6 |
bitstream handle | 6 |
original graph | 6 |
subject terminology | 6 |
ai researchers | 6 |
sick person | 6 |
cols stats | 6 |
count participant | 6 |
across collections | 6 |
staff members | 6 |
unwanted outcomes | 6 |
ai algorithm | 6 |
someone else | 6 |
nhanes biospecimens | 6 |
higher percentage | 6 |
private sector | 6 |
leadership pages | 6 |
benchmark model | 6 |
international publishing | 6 |
cripplegate parish | 6 |
first three | 6 |
retrospective technique | 6 |
share information | 5 |
institutional memory | 5 |
primary audiences | 5 |
knowledge transfer | 5 |
research partnership | 5 |
com trading | 5 |
great pit | 5 |
labor force | 5 |
feel like | 5 |
accessed december | 5 |
collections may | 5 |
committee reports | 5 |
reading project | 5 |
best human | 5 |
team also | 5 |
mit press | 5 |
explorer home | 5 |
public safety | 5 |
also heard | 5 |
force coverage | 5 |
technology reports | 5 |
bank building | 5 |
primary source | 5 |
qai membership | 5 |
improving archival | 5 |
dodgers entity | 5 |
action localization | 5 |
increasing importance | 5 |
sameer singh | 5 |
eu jrc | 5 |
video presentation | 5 |
album collection | 5 |
primary affiliation | 5 |
research office | 5 |
language understanding | 5 |
health care | 5 |
existing services | 5 |
research conferences | 5 |
annual report | 5 |
ptc walkout | 5 |
ent module | 5 |
broad range | 5 |
note taker | 5 |
node centrality | 5 |
subject analysis | 5 |
costs associated | 5 |
last year | 5 |
average month | 5 |
every night | 5 |
bootleg signal | 5 |
technology development | 5 |
two people | 5 |
uses machine | 5 |
across industries | 5 |
moral agency | 5 |
work done | 5 |
future project | 5 |
harper figure | 5 |
shared staff | 5 |
ra cy | 5 |
eligible countries | 5 |
link prediction | 5 |
software engineering | 5 |
gov nchs | 5 |
ideation sessions | 5 |
poor woman | 5 |
vibrancy tool | 5 |
intergovernmental efforts | 5 |
research outputs | 5 |
weeks together | 5 |
united nations | 5 |
allow participants | 5 |
design patterns | 5 |
cooperative cataloging | 5 |
one chicago | 5 |
wikibase entities | 5 |
based knowledge | 5 |
philadelphia transportation | 5 |
three times | 5 |
specific dog | 5 |
vector representation | 5 |
sharing https | 5 |
item updated | 5 |
nhanes biospecimen | 5 |
validation sets | 5 |
metadata will | 5 |
org blog | 5 |
large amounts | 5 |
publ plaw | 5 |
still worse | 5 |
collection review | 5 |
hhs fda | 5 |
cognitive science | 5 |
computational humanities | 5 |
data sharing | 5 |
highest number | 5 |
iryna gurevych | 5 |
bc cee | 5 |
best interest | 5 |
work related | 5 |
biospecimen program | 5 |
public sector | 5 |
generate benefits | 5 |
proposing new | 5 |
mirador image | 5 |
supporting data | 5 |
discussion page | 5 |
immutable data | 5 |
areas research | 5 |
field values | 5 |
ai hires | 5 |
unmapped contentdm | 5 |
kg relations | 5 |
leap forward | 5 |
cost ratios | 5 |
metadata displayed | 5 |
entity editor | 5 |
last five | 5 |
international license | 5 |
presenters included | 5 |
nchs nhanes | 5 |
industry jobs | 5 |
learning model | 5 |
moral decision | 5 |
economic study | 5 |
indigenous data | 5 |
en publication | 5 |
project deliverables | 5 |
unique identifier | 5 |
research activity | 5 |
times respectively | 5 |
truck bringing | 5 |
starting promptly | 5 |
datasets used | 5 |
four days | 5 |
another example | 5 |
came among | 5 |
conceptualizing university | 5 |
collections processing | 5 |
edge representations | 5 |
problems solved | 5 |
technical progress | 5 |
chela scott | 5 |
ent ent | 5 |
major technology | 5 |
integration handbook | 5 |
economic downturn | 5 |
now called | 5 |
run away | 5 |
class hierarchy | 5 |
program officer | 5 |
web archive | 5 |
national health | 5 |
depicts statement | 5 |
road map | 5 |
common objects | 5 |
extramural users | 5 |
good people | 5 |
news articles | 5 |
management plans | 5 |
mutual understanding | 5 |
baseline model | 5 |
stop us | 5 |
international joint | 5 |
budget request | 5 |
public libraries | 5 |
view ai | 5 |
auc values | 5 |
increasingly important | 5 |
interpreted accordingly | 5 |
ai ta | 5 |
gov products | 5 |
torso entities | 5 |
field usage | 5 |
sat competition | 5 |
panoramic negatives | 5 |
just like | 5 |
retriever entity | 5 |
right now | 5 |
researchworks iiif | 5 |
articles https | 5 |
well enough | 5 |
com file | 5 |
com action | 5 |
rebecca bryant | 5 |
collections austlang | 5 |
commonsense reasoning | 5 |
homeland security | 5 |
professional organizations | 5 |
conner collection | 5 |
thomas watson | 5 |
person without | 5 |
usd billion | 5 |
cleveland transit | 5 |
cornell university | 5 |
additional minutes | 5 |
per object | 5 |
institutional contexts | 5 |
full stop | 5 |
statistically significant | 5 |
mp video | 5 |
key takeaways | 5 |
node classification | 5 |
extraction task | 5 |
organizational units | 5 |
relative skill | 5 |
count indicates | 5 |
information extraction | 5 |
also want | 5 |
transformation process | 5 |
one possible | 5 |
bibliographic database | 5 |
community needs | 5 |
issues around | 5 |
templana event | 5 |
wiki wikidata | 5 |
research question | 5 |
iwgsc clearinghouse | 5 |
job title | 5 |
final activity | 5 |
big picture | 5 |
analyzer list | 5 |
technology company | 5 |
themes research | 5 |
general purpose | 5 |
new images | 5 |
functional areas | 5 |
johannes hoffart | 5 |
object recognition | 5 |
biospecimens biospecimens | 5 |
correct label | 5 |
go around | 5 |
entity created | 5 |
ohio state | 5 |
research universities | 5 |
research institute | 5 |
training examples | 5 |
real world | 5 |
synthetic graph | 5 |
good news | 5 |
equally important | 5 |
experienced discrimination | 5 |
bibframe taskgroups | 5 |
submitted papers | 5 |
digital public | 5 |
first parts | 5 |
quality control | 5 |
many cases | 5 |
food safety | 5 |
livestream viewers | 5 |
color slides | 5 |
study group | 5 |
rethink tech | 5 |
disease outbreaks | 5 |
red cross | 5 |
given month | 5 |
day focused | 5 |
published strategies | 5 |
focus area | 5 |
bibliographic description | 5 |
msc values | 5 |
environmental scans | 5 |
contentdm class | 5 |
extended results | 5 |
around data | 5 |
technology knowledge | 5 |
fuzzy search | 5 |
research scientist | 5 |
average penetration | 5 |
raymond perrault | 5 |
rdm services | 5 |
retriever search | 5 |
homogeneous networks | 5 |
gold candidate | 5 |
kept open | 5 |
delivery systems | 5 |
driving cars | 5 |
data evaluated | 5 |
international workshop | 5 |
scholarly record | 5 |
resolution discrepancy | 5 |
library catalogs | 5 |
digital hu | 5 |
gov museum | 5 |
wikibase templates | 5 |
gov plaws | 5 |
twenty miles | 5 |
initial view | 5 |
common themes | 5 |
library federation | 5 |
last week | 5 |
little money | 5 |
collections rdm | 5 |
linkedin coverage | 5 |
neural nets | 5 |
libraries need | 5 |
quite dead | 5 |
humanities scholars | 5 |
com view | 5 |
en https | 5 |
pcc bibframe | 5 |
national plant | 5 |
citizens bank | 5 |
description schema | 5 |
william henry | 5 |
atp problems | 5 |
annotation speed | 5 |
distempered people | 5 |
work around | 5 |
bilateral agreements | 5 |
building intra | 5 |
explorer transportation | 5 |
edge visualization | 5 |
rim research | 5 |
contentdm based | 5 |
digital access | 5 |
two hours | 5 |
highest share | 5 |
generated data | 5 |
two days | 5 |
whole body | 5 |
cost function | 5 |
create new | 5 |
wroclaw university | 5 |
old women | 5 |
picture collection | 5 |
edu bitstream | 5 |
raw data | 5 |
ten minutes | 5 |
annotator initial | 5 |
ml process | 5 |
every way | 5 |
find new | 5 |
collection ced | 5 |
local collections | 5 |
matter experts | 5 |
must also | 5 |
vec model | 5 |
technology review | 5 |
customization cookbook | 5 |
collections figure | 5 |
deep neural | 5 |
successful intra | 5 |
ideas generated | 5 |
high level | 5 |
collection use | 5 |
descriptive practices | 5 |
also provides | 5 |
ned benchmarks | 5 |
academic units | 5 |
chapter ai | 5 |
international students | 5 |
edwin hubble | 5 |
particular cases | 5 |
simplify tech | 5 |
cart came | 5 |
information displayed | 5 |
increasing public | 5 |
plaws publ | 5 |
image data | 5 |
two weeks | 5 |
model using | 5 |
branches records | 5 |
unsupervised attributed | 5 |
preservation support | 5 |
much better | 5 |
greatest amount | 5 |
one book | 5 |
data advisory | 5 |
specific keywords | 5 |
ai brain | 5 |
verner collection | 5 |
philadelphia branches | 5 |
public good | 5 |
heritage institutions | 5 |
palmer conner | 5 |
mixing parameter | 5 |
minutes reflecting | 5 |
discoverability explorer | 5 |
retrospective day | 5 |
mario nakazawa | 5 |
many days | 5 |
came within | 5 |
cleveland picture | 5 |
analyzer field | 5 |
morally wrong | 5 |
updated december | 5 |
learning rate | 5 |
decision tree | 5 |
project director | 5 |
next section | 5 |
technical university | 5 |
national strategies | 5 |
critical inquiry | 5 |
collection costs | 5 |
moral intuition | 5 |
text services | 5 |
visual question | 5 |
org challenge | 5 |
intramural research | 5 |
university librarian | 5 |
leading speech | 5 |
archived news | 5 |
different communities | 5 |
project phases | 5 |
library information | 5 |
certain objects | 5 |
top five | 5 |
pid https | 5 |
kuansan wang | 5 |
com sites | 5 |
preservation services | 5 |
different disciplines | 5 |
germplasm system | 5 |
exact match | 5 |
cataloging process | 5 |
additional contextual | 5 |
viewer embedded | 5 |
documenting additions | 5 |
hong kong | 5 |
project goals | 5 |
yellowstone national | 5 |
died four | 5 |
final results | 5 |
give us | 5 |
support vector | 5 |
countries may | 5 |
test sets | 5 |
language codes | 5 |
related collections | 5 |
four hundred | 5 |
mathematics articles | 5 |
investment amount | 5 |
economic impact | 5 |
uk vgg | 5 |
resident ai | 5 |
gadget extension | 5 |
editing essential | 5 |
digital asset | 5 |
library domain | 5 |
local communities | 5 |
climate change | 5 |
entity knowledge | 5 |
ai workforce | 5 |
event album | 5 |
geological survey | 5 |
advisory committee | 5 |
image interoperability | 5 |
faceted application | 5 |
catalog cards | 5 |
encoded archival | 5 |
en ti | 5 |
research practices | 5 |
graduate students | 5 |
advanced research | 5 |
grscicoll institution | 5 |
good idea | 5 |
labeled training | 5 |
stakeholder interest | 5 |
consumer goods | 5 |
california missions | 5 |
take five | 5 |
trained models | 5 |
future users | 5 |
collecting activities | 5 |
might say | 5 |
support areas | 5 |
org json | 5 |
query map | 5 |
senior leadership | 5 |
emerging roles | 5 |
ywca philadelphia | 5 |
better prepared | 5 |
written contributions | 5 |
campus collaboration | 5 |
mfle baseline | 5 |
least labor | 5 |
hubble papers | 5 |
like node | 5 |
new phds | 5 |
data suggests | 5 |
marc records | 5 |
digital records | 5 |
wikibase discussion | 5 |
domain expertise | 5 |
common people | 5 |
government agencies | 5 |
wikidata knowledge | 5 |
research productivity | 5 |
templana photograph | 5 |
past two | 5 |
org challenges | 5 |
two different | 5 |
usage chart | 5 |
essential details | 5 |
model architecture | 5 |
white speakers | 5 |
domain knowledge | 5 |
question sets | 5 |
entity type | 5 |
transportation company | 5 |
streetcars parked | 5 |
tell us | 5 |
research report | 5 |
henry jackson | 5 |
different algorithms | 5 |
white men | 5 |
systems integration | 5 |
civil society | 5 |
ethical use | 5 |
individual privacy | 5 |
request management | 5 |
freely available | 5 |
one part | 5 |
products scientific | 5 |
give new | 5 |
english language | 5 |
among librarians | 5 |
drury lane | 5 |
bootleg provides | 5 |
violation indicating | 5 |
survey suggests | 5 |
jrc en | 5 |
must confess | 5 |
academic institutions | 4 |
public administration | 4 |
one wikidata | 4 |
bringing together | 4 |
actually reported | 4 |
en worldcat | 4 |
copyright law | 4 |
concrete solutions | 4 |
sparql queries | 4 |
undergraduate graduates | 4 |
improved research | 4 |
boolean query | 4 |
alternative openrefine | 4 |
three waves | 4 |
library assessment | 4 |
czech republic | 4 |
researcher profiles | 4 |
three ned | 4 |
data entities | 4 |
workforce labor | 4 |
nd acm | 4 |
graph information | 4 |
intelligent machines | 4 |
ai innovation | 4 |
hhs cdc | 4 |
startup culture | 4 |
basic research | 4 |
virtual spaces | 4 |
koenecke et | 4 |
many thousands | 4 |
success story | 4 |
interview protocol | 4 |
center mycology | 4 |
congressional research | 4 |
good metadata | 4 |
data may | 4 |
factual scenario | 4 |
will see | 4 |
us understand | 4 |
technical systems | 4 |
frightful manner | 4 |
physical objects | 4 |
field digitb | 4 |
relational databases | 4 |
corporate relations | 4 |
public consultation | 4 |
term frequency | 4 |
analysis tools | 4 |
com story | 4 |
paper self | 4 |
four weeks | 4 |
development innovation | 4 |
collection asm | 4 |
speaker recognition | 4 |
full range | 4 |
quickdraw dataset | 4 |
organization type | 4 |
winkler distance | 4 |
imls grant | 4 |
docs us | 4 |
prodigious numbers | 4 |
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