This is a table of named entities, their types, and their frequencies from sentences in your study carrel. Use it to search & browse the list to learn more about your study carrel. Please keep in mind that named-entity extraction is not as accurate as more generic parts-of-speech extraction. Unusual results will appear here.
entity | type | frequency |
---|---|---|
bias | CHEMICAL | 110 |
query | CHEMICAL | 109 |
lucene | ORG | 105 |
k | CHEMICAL | 87 |
nodes | CHEMICAL | 79 |
dmp | ORG | 56 |
ORG | 45 | |
bantu | GPE | 42 |
human | TAXON | 33 |
transrev | ORG | 32 |
gcn | ORG | 30 |
checkthat | ORG | 30 |
dbgd | PERSON | 28 |
cnn | ORG | 25 |
depression | DISEASE | 21 |
amazon | ORG | 20 |
crf | DISEASE | 19 |
ab | ORG | 19 |
tf | ORG | 18 |
multi | GPE | 18 |
ilp | ORG | 18 |
mt | ORG | 17 |
metapath | CHEMICAL | 17 |
pipeline | CHEMICAL | 17 |
auc | ORG | 16 |
docfigure | ORG | 16 |
suel | PERSON | 15 |
svm | CHEMICAL | 15 |
lda | ORG | 15 |
deep | PERSON | 15 |
coltr | ORG | 15 |
cee | PERSON | 15 |
adam | PERSON | 15 |
pdgd | ORG | 14 |
map | ORG | 14 |
vae | ORG | 14 |
pigd | ORG | 14 |
vrss | PERSON | 13 |
trec | GPE | 13 |
id | DISEASE | 13 |
deeprank | ORG | 13 |
dcmm | ORG | 13 |
hsapa | ORG | 12 |
opt | ORG | 12 |
sfg | ORG | 12 |
metapaths | DISEASE | 12 |
pmgd | CHEMICAL | 11 |
mediaeval | ORG | 11 |
li | CHEMICAL | 11 |
doc | PERSON | 11 |
ORG | 10 | |
bilstm | ORG | 10 |
nlp | ORG | 9 |
acc | ORG | 9 |
agnews | PERSON | 9 |
gvnr | ORG | 9 |
lsa | CHEMICAL | 9 |
ndc | ORG | 9 |
query | ORG | 9 |
sdm | ORG | 9 |
sepedi | ORG | 9 |
wse | ORG | 9 |
rep | PERSON | 9 |
mühleisen | PERSON | 8 |
dbpedia | ORG | 8 |
eq | PERSON | 8 |
dkm | ORG | 8 |
anorexia | PERSON | 8 |
arabic | DISEASE | 8 |
ags | ORG | 8 |
pagerank | ORG | 8 |
prf | ORG | 8 |
max | PERSON | 8 |
sne | CHEMICAL | 8 |
stl | ORG | 8 |
str | ORG | 8 |
slideimages | ORG | 8 |
webq | ORG | 8 |
complexity | DISEASE | 8 |
erisk | ORG | 8 |
fism | ORG | 7 |
information retrieval | ORG | 7 |
imagenet | ORG | 7 |
lmp | ORG | 7 |
elp | ORG | 7 |
ding | PERSON | 7 |
add | CHEMICAL | 7 |
knrm | ORG | 7 |
ne | GPE | 7 |
learning | GPE | 7 |
rnn | ORG | 7 |
sql | ORG | 7 |
sqa | ORG | 7 |
n | ORG | 7 |
fuels | CHEMICAL | 7 |
ndcg | ORG | 7 |
metrix | CHEMICAL | 6 |
ari | DISEASE | 6 |
anserini | PERSON | 6 |
avg sim | PERSON | 6 |
human | TAXON | 6 |
kp | ORG | 6 |
lm | GPE | 6 |
lapswtm | ORG | 6 |
mrr | ORG | 6 |
eer | ORG | 6 |
sgd | ORG | 6 |
wachsmuth | PERSON | 6 |
sanz cruzado | PERSON | 6 |
humans | TAXON | 6 |
clickthrough | CHEMICAL | 6 |
webis | ORG | 6 |
lc | PERSON | 6 |
taskranker | ORG | 6 |
tadw | ORG | 6 |
table 1 | GPE | 6 |
dcso | PERSON | 5 |
idne | ORG | 5 |
hsa | ORG | 5 |
hft | ORG | 5 |
hatt | ORG | 5 |
embeddings | CHEMICAL | 5 |
checkthat lab | ORG | 5 |
cross | GPE | 5 |
bmw | PERSON | 5 |
bias | PERSON | 5 |
africa | LOC | 5 |
adamic adar | DISEASE | 5 |
ips | ORG | 5 |
arabic 2001 | LOC | 5 |
ket | ORG | 5 |
lca | ORG | 5 |
tripadvisor | ORG | 5 |
memis | ORG | 5 |
fly | TAXON | 5 |
fed | ORG | 5 |
wiki | GPE | 5 |
trotman | PERSON | 5 |
query nodes | CHEMICAL | 5 |
stepwise | ORG | 5 |
reuters | ORG | 5 |
ra | ORG | 5 |
sc | PERSON | 5 |
pmc | ORG | 5 |
eq 2 | ORG | 4 |
cypher | PERSON | 4 |
deepwalk | ORG | 4 |
dirichlet | PERSON | 4 |
eqe1 | ORG | 4 |
gini | ORG | 4 |
gan | DISEASE | 4 |
graph | LOC | 4 |
ht | GPE | 4 |
html | ORG | 4 |
cambridge | GPE | 4 |
clinchant | ORG | 4 |
biased pr | ORG | 4 |
cm | ORG | 4 |
cdf | ORG | 4 |
cca | ORG | 4 |
cane | ORG | 4 |
bpref | PERSON | 4 |
balog | PERSON | 4 |
bm25 | GPE | 4 |
automatic | PERSON | 4 |
adadelta | ORG | 4 |
aas | ORG | 4 |
irony | CHEMICAL | 4 |
indri | GPE | 4 |
bert | ORG | 4 |
jelinek | CHEMICAL | 4 |
sp | CHEMICAL | 4 |
the qatar national research fund | ORG | 4 |
seq2seq | ORG | 4 |
query language | CHEMICAL | 4 |
greek | DISEASE | 4 |
gain | DISEASE | 4 |
document language | DISEASE | 4 |
zhang et al 14 | PERSON | 4 |
users | GPE | 4 |
us | GPE | 4 |
twa | ORG | 4 |
social media | ORG | 4 |
lcd logistic | ORG | 4 |
runyankore | GPE | 4 |
mubarak | PERSON | 4 |
robertson | PERSON | 4 |
lsi | ORG | 4 |
log logistic | ORG | 4 |
mesh | ORG | 4 |
mtl | ORG | 4 |
ntcir | ORG | 4 |
next | ORG | 4 |
pv | ORG | 4 |
rdf | DISEASE | 4 |
readnet | PERSON | 4 |
fk | CHEMICAL | 3 |
incep | PERSON | 3 |
fan et al 4 | PERSON | 3 |
fatima | PERSON | 3 |
gsra | ORG | 3 |
ORG | 3 | |
gov2 | ORG | 3 |
hierarchical | ORG | 3 |
mcn | ORG | 3 |
kincaid | CHEMICAL | 3 |
lt | GPE | 3 |
ltr | ORG | 3 |
linear threshold | ORG | 3 |
log | PERSON | 3 |
mf | ORG | 3 |
mlp | ORG | 3 |
eq 1 | LOC | 3 |
expid | ORG | 3 |
baseline | ORG | 3 |
depression | DISEASE | 3 |
cpe | ORG | 3 |
adamic | ORG | 3 |
alam et al 1 | PERSON | 3 |
analysis | PERSON | 3 |
argumentext | ORG | 3 |
attn biodeeprank | ORG | 3 |
mallia | CHEMICAL | 3 |
biased pagerank biased pr | ORG | 3 |
castells 34 | GPE | 3 |
dataset | PERSON | 3 |
character | DISEASE | 3 |
cora | PERSON | 3 |
croft | PERSON | 3 |
daat | ORG | 3 |
dbpedia | ORG | 3 |
dl | CHEMICAL | 3 |
drmm | ORG | 3 |
machine translation | ORG | 3 |
gr | CHEMICAL | 3 |
maxref | PERSON | 3 |
textrank | ORG | 3 |
yahoo | ORG | 3 |
yang | PERSON | 3 |
zhang | PERSON | 3 |
abdominal pain | DISEASE | 3 |
al 6 | PERSON | 3 |
appendicitis | DISEASE | 3 |
clustering loss | DISEASE | 3 |
diseases | DISEASE | 3 |
gaps | DISEASE | 3 |
individuals | TAXON | 3 |
min | PERSON | 3 |
mouse | TAXON | 3 |
obesity | DISEASE | 3 |
von mises fisher | ORG | 3 |
wikipedia | DISEASE | 3 |
Γ | ORG | 3 |
metapath | PERSON | 3 |
vmf | ORG | 3 |
init | CHEMICAL | 3 |
space | TAXON | 3 |
rdm | ORG | 3 |
noa | ORG | 3 |
singlerank | ORG | 3 |
oltr | ORG | 3 |
ontologies | ORG | 3 |
papadakos panagiotis | CHEMICAL | 3 |
pubmed | ORG | 3 |
qa | ORG | 3 |
pmi | ORG | 3 |
roc | GPE | 3 |
setswana | PERSON | 3 |
review | ORG | 3 |
svd | ORG | 3 |
semantic | ORG | 3 |
sessionranker | ORG | 3 |
severity analysis | ORG | 3 |
indo | CHEMICAL | 2 |
inductive document network embedding idne | ORG | 2 |
intel | ORG | 2 |
iterative | ORG | 2 |
jsd | PERSON | 2 |
joachims | DISEASE | 2 |
jelinek mercer | ORG | 2 |
km | ORG | 2 |
k means | ORG | 2 |
kgs | CHEMICAL | 2 |
kea ba | PERSON | 2 |
hyperlearn | ORG | 2 |
isf | ORG | 2 |
gibbs | ORG | 2 |
hindi | ORG | 2 |
hierarchical self attention | ORG | 2 |
hansen | PERSON | 2 |
greece | GPE | 2 |
graph convolutional network | ORG | 2 |
gram | PERSON | 2 |
geotagging | PERSON | 2 |
geolocation | ORG | 2 |
ganguly | PERSON | 2 |
ga | PERSON | 2 |
knowledge graphs | PERSON | 2 |
gru | ORG | 2 |
kembhavi | PERSON | 2 |
mscoco | ORG | 2 |
kong | GPE | 2 |
mlsr | ORG | 2 |
gbp num | ORG | 2 |
microsoft coco | ORG | 2 |
metadata | GPE | 2 |
mbakunda | PERSON | 2 |
model lapswtm | PERSON | 2 |
martin | PERSON | 2 |
markov | ORG | 2 |
maghrebi | PERSON | 2 |
mq2007 | CHEMICAL | 2 |
mps | ORG | 2 |
mpcn | CHEMICAL | 2 |
mkl | ORG | 2 |
kwd | PERSON | 2 |
mir | ORG | 2 |
mha | ORG | 2 |
mcat | ORG | 2 |
librarything | ORG | 2 |
lexicon | ORG | 2 |
lexrank | ORG | 2 |
lemur | TAXON | 2 |
latent dirichlet | GPE | 2 |
lambdarank | ORG | 2 |
lstm | PERSON | 2 |
lcd | ORG | 2 |
gmm | ORG | 2 |
alexa | ORG | 2 |
fundação | CHEMICAL | 2 |
fine | PERSON | 2 |
castells | GPE | 2 |
canada | GPE | 2 |
cafarella | GPE | 2 |
cotlr | ORG | 2 |
cnr | CHEMICAL | 2 |
cls | ORG | 2 |
claire | ORG | 2 |
cbmir | ORG | 2 |
cae | ORG | 2 |
block max | PERSON | 2 |
biased pr pagerank | ORG | 2 |
biased concepts | ORG | 2 |
bert | PERSON | 2 |
bc | ORG | 2 |
bbc bitesize | ORG | 2 |
argm | ORG | 2 |
arg1 | PERSON | 2 |
arabic mandarin | LOC | 2 |
amsterdam | GPE | 2 |
algorithm 2 | ORG | 2 |
algorithm 1 | ORG | 2 |
aletras | PERSON | 2 |
agbr | ORG | 2 |
acm | CHEMICAL | 2 |
n i n | ORG | 2 |
chen | PERSON | 2 |
citation | ORG | 2 |
cofactor | ORG | 2 |
digital music | ORG | 2 |
fasttext | ORG | 2 |
fang et al 13 | PERSON | 2 |
fang et al 12 | PERSON | 2 |
facebook twitter | PERSON | 2 |
fv | GPE | 2 |
fub | CHEMICAL | 2 |
eq 3 | LOC | 2 |
egypt | GPE | 2 |
ed431 | CHEMICAL | 2 |
don | PERSON | 2 |
dimensionality | ORG | 2 |
detecting | PERSON | 2 |
coh metrix | PERSON | 2 |
deepwalk | ORG | 2 |
deeper | PERSON | 2 |
deeprank biodeeprank | ORG | 2 |
dataless | GPE | 2 |
drd | DISEASE | 2 |
dpm | ORG | 2 |
dhcr | ORG | 2 |
dfr | CHEMICAL | 2 |
d g1 g2 | PERSON | 2 |
convolutional neural network | ORG | 2 |
cohen s kappa | ORG | 2 |
n 2 lucene | ORG | 2 |
msmarco | ORG | 2 |
n qj | ORG | 2 |
functionality | DISEASE | 2 |
doc2vec | CHEMICAL | 2 |
d6r4fr9r | CHEMICAL | 2 |
computinĝ | CHEMICAL | 2 |
cognitive complexity | DISEASE | 2 |
cancer | DISEASE | 2 |
autoencoder vae | DISEASE | 2 |
appetite | CHEMICAL | 2 |
anorexia nervosa | PERSON | 2 |
ambiguity | DISEASE | 2 |
al 15 | PERSON | 2 |
zhou et al 14 | PERSON | 2 |
zheng | PERSON | 2 |
zhang et al 16 | PERSON | 2 |
yahoo | ORG | 2 |
xavier | ORG | 2 |
wu | PERSON | 2 |
wordnet | PERSON | 2 |
wikipedia | ORG | 2 |
weekly reader | ORG | 2 |
weebit | PERSON | 2 |
ws | DISEASE | 2 |
wmd | ORG | 2 |
w | ORG | 2 |
viterbi | PERSON | 2 |
vanilla | ORG | 2 |
erisk 2018 | CHEMICAL | 2 |
g | ORG | 2 |
vse | ORG | 2 |
headaches | DISEASE | 2 |
ne tadw | PERSON | 2 |
un | ORG | 2 |
the webis smc 12 | ORG | 2 |
the neural network | ORG | 2 |
the natural sciences and engineering research council | ORG | 2 |
the national science foundation | ORG | 2 |
the german federal ministry of education and research bmbf | ORG | 2 |
the european union | ORG | 2 |
susana ladeiro | PERSON | 2 |
sup ab | ORG | 2 |
rev u | PERSON | 2 |
resp | ORG | 2 |
rerank | CHEMICAL | 2 |
rel g | PERSON | 2 |
rainbow | TAXON | 2 |
query similarity | CHEMICAL | 2 |
query aloe vera | CHEMICAL | 2 |
q6 | ORG | 2 |
psychological disorders | DISEASE | 2 |
periodontitis | DISEASE | 2 |
penultimate | CHEMICAL | 2 |
nausea | DISEASE | 2 |
man | TAXON | 2 |
lof49r72 | CHEMICAL | 2 |
linear | ORG | 2 |
vsm | ORG | 2 |
min sessions | ORG | 2 |
vrnn | ORG | 2 |
research data management | ORG | 2 |
recipe1m | ORG | 2 |
recall | PERSON | 2 |
random forest | ORG | 2 |
rouge | CHEMICAL | 2 |
qatar foundation | ORG | 2 |
python | GPE | 2 |
proença | CHEMICAL | 2 |
probabilistic | LOC | 2 |
parapar | GPE | 2 |
pan et al | PERSON | 2 |
prh net | ORG | 2 |
prf mechanisms | ORG | 2 |
pos | ORG | 2 |
pacrr | ORG | 2 |
owl | TAXON | 2 |
orekhova | LOC | 2 |
okapi | GPE | 2 |
neural ir explorer | ORG | 2 |
network | ORG | 2 |
naver | GPE | 2 |
nyt | CHEMICAL | 2 |
nn | ORG | 2 |
vist | ORG | 2 |
nmf | ORG | 2 |
nmt | ORG | 2 |
recommender systems | ORG | 2 |
pca | ORG | 2 |
saat | ORG | 2 |
spherecluster | PERSON | 2 |
twitter damage | ORG | 2 |
sgns | ORG | 2 |
v d d g 1 g 2 | PERSON | 2 |
tree opt | PERSON | 2 |
time | ORG | 2 |
textrank | ORG | 2 |
table 2 | GPE | 2 |
suwaileh reem | PERSON | 2 |
suggestion mining | ORG | 2 |
suel 6 | PERSON | 2 |
sreenivasulu | GPE | 2 |
trec robust 2004 | ORG | 2 |
slidewiki | ORG | 2 |
scibert | PERSON | 2 |
slim | ORG | 2 |
ss | ORG | 2 |
sval | PERSON | 2 |
sadeque | GPE | 2 |
svmrank | ORG | 2 |
u s | GPE | 2 |
sect | ORG | 2 |
sect 2 | ORG | 2 |
short medium | ORG | 2 |
single | ORG | 2 |
intel xeon | ORG | 1 |
importance | ORG | 1 |
improving | ORG | 1 |
incremental approach for automatic generation of domain specific | ORG | 1 |
inductive document network embedding with topic word attention | ORG | 1 |
information | ORG | 1 |
infosys | CHEMICAL | 1 |
implementing wand | PERSON | 1 |
interactive | ORG | 1 |
jaccard | GPE | 1 |
inverse | ORG | 1 |
jangra anubhav | PERSON | 1 |
iyyer | PERSON | 1 |
jilp | ORG | 1 |
jatowt adam | PERSON | 1 |
introduction sparse | ORG | 1 |
icst | ORG | 1 |
image | ORG | 1 |
icdar2017 | CHEMICAL | 1 |
hu | PERSON | 1 |
javier | GPE | 1 |
human symptoms disease | DISEASE | 1 |
humancomputer | PERSON | 1 |
ibm watson | PERSON | 1 |
icd | ORG | 1 |
idec | ORG | 1 |
illumina | GPE | 1 |
idf | CHEMICAL | 1 |
iii cross | ORG | 1 |
iit | ORG | 1 |
ijcai | CHEMICAL | 1 |
ipipan | ORG | 1 |
identifying | PERSON | 1 |
java | ORG | 1 |
katy perry | PERSON | 1 |
jean michel lee | PERSON | 1 |
jeff davison brian d title | PERSON | 1 |
knn | ORG | 1 |
kabbur | GPE | 1 |
kamphuis chris de vries | PERSON | 1 |
karen | GPE | 1 |
karoui et al 24 | PERSON | 1 |
kediri | CHEMICAL | 1 |
kempe | GPE | 1 |
kim et al 10 | PERSON | 1 |
knowledge graph | ORG | 1 |
knowledge graph entity alignment | ORG | 1 |
knowledge graphs kg | PERSON | 1 |
knowledgebases kb | PERSON | 1 |
ko et al 14 | PERSON | 1 |
korea | GPE | 1 |
hiippala | PERSON | 1 |
kl | ORG | 1 |
kgs 3 6 22 24 27 in this paper | CHEMICAL | 1 |
kg | GPE | 1 |
joris van dolen willemijn | PERSON | 1 |
jensen shannon | PERSON | 1 |
jia haiyan | PERSON | 1 |
jobin et al | PERSON | 1 |
jobin et al s | PERSON | 1 |
john doe | PERSON | 1 |
jorge alípio | PERSON | 1 |
josé | CHEMICAL | 1 |
kf | ORG | 1 |
k 1 | ORG | 1 |
k means 2 4 | ORG | 1 |
k t q denotes the | CHEMICAL | 1 |
kdcoe | PERSON | 1 |
kea bi lstm crf | PERSON | 1 |
kea practical | ORG | 1 |
hotel or travel | ORG | 1 |
g 1 and g 2 | ORG | 1 |
hierarchical multiview learning approach adam | ORG | 1 |
hierarchical attention network | ORG | 1 |
g 2 | ORG | 1 |
g l v l e l and g | ORG | 1 |
g q d e | CHEMICAL | 1 |
ga | ORG | 1 |
gae | CHEMICAL | 1 |
gate | ORG | 1 |
gbp | ORG | 1 |
gbp len | ORG | 1 |
gcn align | ORG | 1 |
gcn align 22 | ORG | 1 |
gcnbased | CHEMICAL | 1 |
gcap | ORG | 1 |
gmap | ORG | 1 |
gnn | CHEMICAL | 1 |
gaming se | PERSON | 1 |
g 1 or g 2 | ORG | 1 |
krippendorff | PERSON | 1 |
g 1 | ORG | 1 |
formal thibault clinchant | ORG | 1 |
fleiss | ORG | 1 |
flesch | PERSON | 1 |
flesch kincaid | PERSON | 1 |
flickr | ORG | 1 |
floods | DISEASE | 1 |
formación | CHEMICAL | 1 |
formula retrieval | PERSON | 1 |
fuzzy logic 7 | LOC | 1 |
formulas | PERSON | 1 |
foursquare | ORG | 1 |
frequency | ORG | 1 |
frequentist | LOC | 1 |
friedrich hayek | PERSON | 1 |
fusion svm | ORG | 1 |
gaussier 11 | ORG | 1 |
genomics | ORG | 1 |
geonames | PERSON | 1 |
hadamard | ORG | 1 |
gurevych | PERSON | 1 |
gurobi | PERSON | 1 |
hbku | ORG | 1 |
hbilstm | GPE | 1 |
hsd | ORG | 1 |
habernal | ORG | 1 |
haldar | CHEMICAL | 1 |
graph2gauss | PERSON | 1 |
hanbury allan | ORG | 1 |
handling data scarcity rq3 deep | ORG | 1 |
harley | ORG | 1 |
harvey irma | ORG | 1 |
hassan | PERSON | 1 |
hassan brazdil | PERSON | 1 |
guido zuccon | PERSON | 1 |
graph convolutional networks lessons learned | ORG | 1 |
george guha tanaya | PERSON | 1 |
github | GPE | 1 |
germany | GPE | 1 |
geun hee | PERSON | 1 |
ghahremanlou | PERSON | 1 |
ghanem | PERSON | 1 |
ghanem bilal | PERSON | 1 |
giovanni | ORG | 1 |
github 2 | ORG | 1 |
graph convolutional networks gcn | ORG | 1 |
google news 29 | ORG | 1 |
goswami mononito | PERSON | 1 |
gourmet | CHEMICAL | 1 |
grant no | PERSON | 1 |
graph attention network | ORG | 1 |
graph attention networks 50 | ORG | 1 |
kreutz alex witry | PERSON | 1 |
loss | PERSON | 1 |
kumar | ORG | 1 |
meng changping | PERSON | 1 |
markus hofstätter | PERSON | 1 |
mathematical information retrieval | ORG | 1 |
mathias li hui | PERSON | 1 |
mathibele byamugisha | CHEMICAL | 1 |
matrix factorization mf | ORG | 1 |
max reference maxref | PERSON | 1 |
max score | PERSON | 1 |
maxid | PERSON | 1 |
mazar | CHEMICAL | 1 |
mcdonald s | ORG | 1 |
mesh a | ORG | 1 |
mean average precision | ORG | 1 |
mean average precision map and | ORG | 1 |
medium | GPE | 1 |
medium m | ORG | 1 |
markus hanbury allan | PERSON | 1 |
mark sheehan | PERSON | 1 |
maria arxiv multimodal | PERSON | 1 |
muse | CHEMICAL | 1 |
mit csail | ORG | 1 |
mms | ORG | 1 |
mq2008 | CHEMICAL | 1 |
mse | ORG | 1 |
msmo | ORG | 1 |
mt sect 4 2 multiview learning | CHEMICAL | 1 |
macdonald | GPE | 1 |
maram suwaileh reem | PERSON | 1 |
machine translation mt | ORG | 1 |
maghreb | ORG | 1 |
mansi leekha | PERSON | 1 |
manuel biertz christin katharina | PERSON | 1 |
map 10 | GPE | 1 |
maram hasanain | PERSON | 1 |
melnychuk valentyn | PERSON | 1 |
metamap 1 | PERSON | 1 |
kumar vishwakarma dinesh | PERSON | 1 |
metapaths | CHEMICAL | 1 |
moreover hoang | ORG | 1 |
morris | GPE | 1 |
mover | CHEMICAL | 1 |
muhammad shamsuddeen | PERSON | 1 |
multi layer perceptron | PERSON | 1 |
multifield document ranking mdr | PERSON | 1 |
multilayer perceptron mlp | PERSON | 1 |
multilingual information retrieval from research to practice cross | ORG | 1 |
multimodal emergency management information system | ORG | 1 |
n gi | ORG | 1 |
n w | ORG | 1 |
nb | DISEASE | 1 |
nc | GPE | 1 |
ner | ORG | 1 |
find top η n grams | PERSON | 1 |
moraes | PERSON | 1 |
montazeralghaem ali rahimi | PERSON | 1 |
montazeralghaem | CHEMICAL | 1 |
minni | CHEMICAL | 1 |
mihai | CHEMICAL | 1 |
minmax | ORG | 1 |
mindlab | CHEMICAL | 1 |
minibatches | CHEMICAL | 1 |
ministerio de ciencia innovación y universidades | ORG | 1 |
ministry of human resource development government of india | ORG | 1 |
mises fisher | ORG | 1 |
mononito | CHEMICAL | 1 |
modal model | PERSON | 1 |
model training | PERSON | 1 |
moens | PERSON | 1 |
mohammad saha sriparna | PERSON | 1 |
monolingual | CHEMICAL | 1 |
monolingual embeddings | CHEMICAL | 1 |
mi | CHEMICAL | 1 |
memis multimodal emergency management information system | ORG | 1 |
medline research | ORG | 1 |
medline | ORG | 1 |
latent dirichlet allocation | PERSON | 1 |
latent models latent | ORG | 1 |
latent semantic analysis | ORG | 1 |
layout | ORG | 1 |
learning deep structured semantic models | ORG | 1 |
learning deep structured semantic | DISEASE | 1 |
learning two | LOC | 1 |
lee | PERSON | 1 |
lee zanibbi richard | PERSON | 1 |
leekha | GPE | 1 |
lemur indri | PERSON | 1 |
lenin | PERSON | 1 |
lenzerini | PERSON | 1 |
leonid lin jimmy | PERSON | 1 |
li et | PERSON | 1 |
langfelder | GPE | 1 |
landin alfonso parapar | CHEMICAL | 1 |
landin alfonso | PERSON | 1 |
lda cbow | PERSON | 1 |
l 1 l 2 l t where l i is the length of | CHEMICAL | 1 |
l a t e | CHEMICAL | 1 |
l bfgs | ORG | 1 |
l e l | CHEMICAL | 1 |
lda k | GPE | 1 |
lda learning | PERSON | 1 |
ldr | CHEMICAL | 1 |
lstm shorter | ORG | 1 |
lmp english | ORG | 1 |
lmp rq3 | ORG | 1 |
lmp systems | ORG | 1 |
lmp systems possible | ORG | 1 |
locust | ORG | 1 |
lp160101469 | CHEMICAL | 1 |
li et al | PERSON | 1 |
li et al 12 | PERSON | 1 |
linear svm | ORG | 1 |
lv | ORG | 1 |
lucene efficient | ORG | 1 |
lucene open | ORG | 1 |
lucene simple | ORG | 1 |
lucene s arabic | CHEMICAL | 1 |
luganda | PERSON | 1 |
luganda runyankore | PERSON | 1 |
m agarwal | ORG | 1 |
lu | PERSON | 1 |
m leekha | PERSON | 1 |
mantis | PERSON | 1 |
maxscore | ORG | 1 |
machine | CHEMICAL | 1 |
machine reading comprehension | ORG | 1 |
mdr | CHEMICAL | 1 |
lucene 8 2 search | CHEMICAL | 1 |
losada david | PERSON | 1 |
lingad | CHEMICAL | 1 |
lix | PERSON | 1 |
linguistic complexity | DISEASE | 1 |
linux | PERSON | 1 |
lipizzi | PERSON | 1 |
litschko | GPE | 1 |
liu | PERSON | 1 |
liu et al 20 | PERSON | 1 |
load wiki | PERSON | 1 |
loris | PERSON | 1 |
location | ORG | 1 |
locationabbr | ORG | 1 |
logistic | GPE | 1 |
logistic regression statistics for biology and health distributed | ORG | 1 |
long l | ORG | 1 |
long short | ORG | 1 |
fischer kernel | ORG | 1 |
alexandros lupu mihai | ORG | 1 |
figurative | CHEMICAL | 1 |
bimodal embeddings | ORG | 1 |
baseline 2 | ORG | 1 |
baseline approaches | PERSON | 1 |
baseline model | PERSON | 1 |
baseline ranker | PERSON | 1 |
batra vishwash haldar | PERSON | 1 |
beeradvocate | ORG | 1 |
benamara farah | PERSON | 1 |
berlin | GPE | 1 |
berrendorf max faerman | PERSON | 1 |
bi lstm | PERSON | 1 |
bi lstm crf | PERSON | 1 |
bi lstm crf 1 | PERSON | 1 |
bisltm | ORG | 1 |
bidirectional | GPE | 1 |
bidirectional long short term memory | ORG | 1 |
barrón cedeño | DISEASE | 1 |
bapedi | GPE | 1 |
baby digital music office | ORG | 1 |
aylien text | PERSON | 1 |
australian research council decra research | ORG | 1 |
automated evaluation of text | ORG | 1 |
automotive | ORG | 1 |
average golden bias ratio agbr | ORG | 1 |
axiomatic analysis of contact recommendation methods | ORG | 1 |
aylien | CHEMICAL | 1 |
bay | CHEMICAL | 1 |
bwesg | ORG | 1 |
bc2 generally | GPE | 1 |
bert computational | ORG | 1 |
bir | ORG | 1 |
bm25 document length normalization efficient | ORG | 1 |
bm25 vs | PERSON | 1 |
bmm lbmm | ORG | 1 |
bilingual | ORG | 1 |
binary programming gbp | PERSON | 1 |
clickture | DISEASE | 1 |
bing | ORG | 1 |
camilo hoessel | PERSON | 1 |
canonical | ORG | 1 |
cardoso | CHEMICAL | 1 |
cardoso joão proença | ORG | 1 |
chang | PERSON | 1 |
chapman | PERSON | 1 |
chaudhuri | GPE | 1 |
cheminformatics elsevier melbourne university | ORG | 1 |
chen muhao mao | PERSON | 1 |
chen zhiyu | PERSON | 1 |
chen et al 4 | PERSON | 1 |
chen et al 8 | PERSON | 1 |
ciência | GPE | 1 |
claimbuster | ORG | 1 |
clickthrough | CHEMICAL | 1 |
cambridge english | ORG | 1 |
calling attention to passages for biomedical question answering | ORG | 1 |
callan 41 | PERSON | 1 |
cedr | ORG | 1 |
biocreative | ORG | 1 |
biomedical document retrieval | ORG | 1 |
booleanquery lucene | CHEMICAL | 1 |
borbinha josé | ORG | 1 |
bosch 25 | GPE | 1 |
botswana | PERSON | 1 |
cfs | ORG | 1 |
crf crf | DISEASE | 1 |
cfs t q t | DISEASE | 1 |
clef 2018 | CHEMICAL | 1 |
clir | ORG | 1 |
cltr | ORG | 1 |
cnsi | ORG | 1 |
coco | DISEASE | 1 |
australasian language technology association | ORG | 1 |
attre | DISEASE | 1 |
attention network | ORG | 1 |
assignment | ORG | 1 |
a users guide | ORG | 1 |
abc | ORG | 1 |
ac3 electronics | ORG | 1 |
ac4 grocery gourmet food | ORG | 1 |
ag | CHEMICAL | 1 |
ag news | ORG | 1 |
agnews acc ari acc ari acc ari acc ari acc ari | CHEMICAL | 1 |
als | DISEASE | 1 |
amc | ORG | 1 |
aol | ORG | 1 |
aol query | CHEMICAL | 1 |
ap | ORG | 1 |
arcs foundation | ORG | 1 |
auc consumers | ORG | 1 |
aura | ORG | 1 |
a m | ORG | 1 |
7p37m92a computational argumentation | DISEASE | 1 |
5_32 | CHEMICAL | 1 |
20846 | DISEASE | 1 |
01is18036a | TAXON | 1 |
1m | ORG | 1 |
20794 | DISEASE | 1 |
20811 | DISEASE | 1 |
20814 | DISEASE | 1 |
20843 | DISEASE | 1 |
20848 | DISEASE | 1 |
5 4 and 1 5 over | CHEMICAL | 1 |
20871 | DISEASE | 1 |
3 conjunctive relevance decision | ORG | 1 |
33340 | CHEMICAL | 1 |
4 787 diseases | CHEMICAL | 1 |
5 1k | CHEMICAL | 1 |
5 4 and 1 5 on amazon | CHEMICAL | 1 |
adam optimizer | PERSON | 1 |
adrien | CHEMICAL | 1 |
adrien velcin | CHEMICAL | 1 |
approaches hft 21 | ORG | 1 |
antonio mallia | PERSON | 1 |
antonyms | GPE | 1 |
appendicitis | DISEASE | 1 |
application | PERSON | 1 |
applications ada center | ORG | 1 |
approaches | ORG | 1 |
approaches methods | PERSON | 1 |
analyse | ORG | 1 |
ar en fr | PERSON | 1 |
arabic irony | LOC | 1 |
arabic language arabic | CHEMICAL | 1 |
arabicanalyzer | ORG | 1 |
args | ORG | 1 |
aspect | ORG | 1 |
anderson | PERSON | 1 |
analogously | ORG | 1 |
adrien velcin julien | PERSON | 1 |
nle | DISEASE | 1 |
advances | TAXON | 1 |
africa sparse | LOC | 1 |
afzal | ORG | 1 |
al olimat et al 1 | PERSON | 1 |
alam et al | PERSON | 1 |
alexandros | CHEMICAL | 1 |
algorithm 1 requirementset | ORG | 1 |
amsterdam the netherlands | GPE | 1 |
algorithm 2 line | ORG | 1 |
allan james | PERSON | 1 |
allenai | TAXON | 1 |
alpes | ORG | 1 |
alípio | CHEMICAL | 1 |
amazon mechanical turk 8 | ORG | 1 |
clickthrough data xrce s | ORG | 1 |
clinton | PERSON | 1 |
fig 1 | GPE | 1 |
eq 8 | PERSON | 1 |
eve | CHEMICAL | 1 |
ewc | ORG | 1 |
earthquakes | ORG | 1 |
easy | PERSON | 1 |
ebola twitter | PERSON | 1 |
effectiveness | ORG | 1 |
effectiveness and efficiency trade | ORG | 1 |
efficiency tracks | ORG | 1 |
elementary discourse | PERSON | 1 |
embedding fusion models | ORG | 1 |
en fr | ORG | 1 |
encoder decoder | PERSON | 1 |
english arabic | LOC | 1 |
eq 10 | LOC | 1 |
eq 4 | GPE | 1 |
erde | ORG | 1 |
elp librarything beeradvocate fism | ORG | 1 |
eeg | ORG | 1 |
diversity | ORG | 1 |
disambiguating | PERSON | 1 |
disambiguation | ORG | 1 |
disaster response management | ORG | 1 |
discription logics dl | ORG | 1 |
distributed memory pv dm | ORG | 1 |
distributional | ORG | 1 |
dog | TAXON | 1 |
ec | ORG | 1 |
duan | PERSON | 1 |
due | PERSON | 1 |
dueling bandit gradient descent | ORG | 1 |
dumani lorik | PERSON | 1 |
dynamic | ORG | 1 |
défi fouille de textes | PERSON | 1 |
eq 5 attention aggregation | ORG | 1 |
eqs 2 | ORG | 1 |
clueweb12 b13 | PERSON | 1 |
eric | PERSON | 1 |
fairness | DISEASE | 1 |
fan | CHEMICAL | 1 |
fan et al | PERSON | 1 |
fang | PERSON | 1 |
fang biaoyan druckenbrodt | PERSON | 1 |
fang et | GPE | 1 |
fang et al | GPE | 1 |
fang et al 11 tao | PERSON | 1 |
fang et al 12 13 | PERSON | 1 |
fard mazar | PERSON | 1 |
fatima haouari | PERSON | 1 |
favano | PERSON | 1 |
fedora | PERSON | 1 |
ferenczi | CHEMICAL | 1 |
ferhatosmanoglu | CHEMICAL | 1 |
faerman evgeniy melnychuk | DISEASE | 1 |
faerman | TAXON | 1 |
fv movmf | ORG | 1 |
experimental | ORG | 1 |
eric ewerth ralph | PERSON | 1 |
europal | GPE | 1 |
european social fund esf inclu siveocw | ORG | 1 |
evaluations | PERSON | 1 |
executive office | ORG | 1 |
expid maxid | PERSON | 1 |
explicit | ORG | 1 |
fv gmm fv | PERSON | 1 |
extending rapidminer | PERSON | 1 |
f 1 | LOC | 1 |
f formula | PERSON | 1 |
f1 precision | ORG | 1 |
ffl | ORG | 1 |
fub iasi cnr | ORG | 1 |
disagreements | CHEMICAL | 1 |
differentiable cross | ORG | 1 |
differentiable | PERSON | 1 |
diaz | PERSON | 1 |
cornell s smart | ORG | 1 |
counterfactual reasoning and learning systems the example of computational advertising learning | DISEASE | 1 |
craig macdonald joel | PERSON | 1 |
crestani fabio | PERSON | 1 |
cross modal retrieval | ORG | 1 |
cross language information retrieval clir track overview learning to rank from pairwise approach | DISEASE | 1 |
cross lingual id | DISEASE | 1 |
cross lingual language | DISEASE | 1 |
cross lingual learning torank | DISEASE | 1 |
cruzado | GPE | 1 |
cuisine | CHEMICAL | 1 |
cuisines facilities | ORG | 1 |
current challenges | ORG | 1 |
d | ORG | 1 |
d a | CHEMICAL | 1 |
cora word | PERSON | 1 |
cora note | ORG | 1 |
cora gaming and travel stack exchange | ORG | 1 |
compounds | ORG | 1 |
cluster | DISEASE | 1 |
clustering | ORG | 1 |
cognitive | ORG | 1 |
coh metrix coh metrix | PERSON | 1 |
coherence neural story illustration | ORG | 1 |
coherent neural story illustration | ORG | 1 |
computational | ORG | 1 |
coppersmith | PERSON | 1 |
conditional | ORG | 1 |
consellería de educación universidade e formación profesional xunta de galicia | ORG | 1 |
contentbased | GPE | 1 |
contrary | PERSON | 1 |
contrasting | GPE | 1 |
convolutional | ORG | 1 |
d d | CHEMICAL | 1 |
d d g 1 g 2 in | CHEMICAL | 1 |
d d g 1 g 2 is | CHEMICAL | 1 |
david müller | PERSON | 1 |
doi | ORG | 1 |
dph | CHEMICAL | 1 |
dwy | CHEMICAL | 1 |
daniel niepert | PERSON | 1 |
data management plan | ORG | 1 |
dataset verified | PERSON | 1 |
de herrera | ORG | 1 |
dmp madmp | ORG | 1 |
deep gaussian | PERSON | 1 |
deep neural networks | ORG | 1 |
deep k means | ORG | 1 |
deeprank 10 | ORG | 1 |
depression challenges | ORG | 1 |
derivation | ORG | 1 |
dmp template | CHEMICAL | 1 |
dmp common standard ontology | ORG | 1 |
d eq 3 | CHEMICAL | 1 |
dc | LOC | 1 |
d query term importance importance | ORG | 1 |
d the generator | CHEMICAL | 1 |
d n e | CHEMICAL | 1 |
daat query processing methods | CHEMICAL | 1 |
dbpedia yahoo | PERSON | 1 |
dbpedia | CHEMICAL | 1 |
dce | CHEMICAL | 1 |
dl queries | ORG | 1 |
dcmm cos | ORG | 1 |
dcn | ORG | 1 |
de180101579 | CHEMICAL | 1 |
desm | ORG | 1 |
dfreeklim | CHEMICAL | 1 |
dkm km | PERSON | 1 |
ni | PERSON | 1 |
time critical geolocation for social good date 2020 | ORG | 1 |
nlidb | ORG | 1 |
epilepsy | DISEASE | 1 |
desc | PERSON | 1 |
disaster damage | DISEASE | 1 |
discrimintaor | PERSON | 1 |
diseases fever | DISEASE | 1 |
diseases of the digestive system while several disease symptom | DISEASE | 1 |
diseases symptoms | DISEASE | 1 |
dissatisfaction | DISEASE | 1 |
doc_id 20901 | CHEMICAL | 1 |
dogs | TAXON | 1 |
e1caa8d28ffc9a79c3e5a5f5b503136ce587b1d3 | ORG | 1 |
erisk 2017 2018 | CHEMICAL | 1 |
erisk 2017 2019 reddit | CHEMICAL | 1 |
erisk 2019 s overview report 6 introduced in 2019 the | CHEMICAL | 1 |
eating disorders | DISEASE | 1 |
elliniki lisi | ORG | 1 |
depression anorexia | DISEASE | 1 |
de investigación de galicia | PERSON | 1 |
de bias | PERSON | 1 |
cord_uid qt0ly5d0 | LOC | 1 |
cord 020841 | DISEASE | 1 |
cord 020846 | DISEASE | 1 |
cord 020851 | DISEASE | 1 |
cord 020909 | DISEASE | 1 |
cord_uid 7p37m92a computational | ORG | 1 |
cord_uid n36p5n2k ethical | ORG | 1 |
corpora recent | ORG | 1 |
david morris | PERSON | 1 |
corpus a | CHEMICAL | 1 |
criticality | DISEASE | 1 |
cross modal analytics | ORG | 1 |
d9a40b8915dad2edfef73474c617ef67dbb570f8 | ORG | 1 |
datahub | DISEASE | 1 |
dataset metadata | PERSON | 1 |
encode input | LOC | 1 |
explainability | DISEASE | 1 |
major weakness | DISEASE | 1 |
extract tweets | CHEMICAL | 1 |
injured victims | DISEASE | 1 |
isizulu luganda | PERSON | 1 |
k nearest neighbor | CHEMICAL | 1 |
k1 | ORG | 1 |
l q f l wmd | PERSON | 1 |
lambdarank | CHEMICAL | 1 |
len v 1 | PERSON | 1 |
len v 1 len v 2 | PERSON | 1 |
lengths lucene | PERSON | 1 |
lexemes | CHEMICAL | 1 |
log n | ORG | 1 |
loss | DISEASE | 1 |
loss of generality | DISEASE | 1 |
low complexity | DISEASE | 1 |
m ba kunda | PERSON | 1 |
inequality | DISEASE | 1 |
img | ORG | 1 |
idebate | DISEASE | 1 |
gr xryshaygh com | PERSON | 1 |
fatigue | DISEASE | 1 |
firstlextract | CHEMICAL | 1 |
g wikimedia commons | ORG | 1 |
g the eiffel tower louvre museum | ORG | 1 |
gaps i e | CHEMICAL | 1 |
gr antidiaploki gr | PERSON | 1 |
greek football | CHEMICAL | 1 |
ibm | ORG | 1 |
green | CHEMICAL | 1 |
grey wolf optimizer | PERSON | 1 |
hitnodes | CHEMICAL | 1 |
human beings | TAXON | 1 |
humor | DISEASE | 1 |
i7 7700hq | CHEMICAL | 1 |
convolutional block | DISEASE | 1 |
contextual neural language | DISEASE | 1 |
constraints | CHEMICAL | 1 |
confusion | DISEASE | 1 |
wikidata | CHEMICAL | 1 |
wikimedia commons | ORG | 1 |
wikipedia wiki | GPE | 1 |
wilcoxon | ORG | 1 |
witschel hans friedrich riesen kaspar | PERSON | 1 |
world | ORG | 1 |
world stats africa | LOC | 1 |
wu jian giles | PERSON | 1 |
wu et | PERSON | 1 |
wx | PERSON | 1 |
wy | CHEMICAL | 1 |
xia | PERSON | 1 |
xiong et al 27 | PERSON | 1 |
yc4 restaurants | ORG | 1 |
yahoo answers | ORG | 1 |
wikitables | ORG | 1 |
ORG | 1 | |
wei | PERSON | 1 |
vulić | PERSON | 1 |
verboseness | ORG | 1 |
verboseness fission | DISEASE | 1 |
video | ORG | 1 |
visual semantic embeddings vse | ORG | 1 |
visualizing | ORG | 1 |
vue js | PERSON | 1 |
w qi d | CHEMICAL | 1 |
webis smc 12 | ORG | 1 |
wg | GPE | 1 |
wmt multi | ORG | 1 |
wsabie | GPE | 1 |
wachsmuth et al 30 | PERSON | 1 |
webtables | ORG | 1 |
webis smc | CHEMICAL | 1 |
yahoo learning | ORG | 1 |
yaswanth sri sai | PERSON | 1 |
yelp | ORG | 1 |
bug | TAXON | 1 |
behavioral heterogeneities | DISEASE | 1 |
bipartite graph g | ORG | 1 |
blue | CHEMICAL | 1 |
bot | TAXON | 1 |
botse | CHEMICAL | 1 |
breast cancer | DISEASE | 1 |
cbow | ORG | 1 |
b12420963f3129f341862c0fcb0ea61087ad3592 | ORG | 1 |
calamity | CHEMICAL | 1 |
cased | DISEASE | 1 |
central east | LOC | 1 |
character | DISEASE | 1 |
cluster arabic | DISEASE | 1 |
concave g | PERSON | 1 |
bagof | DISEASE | 1 |
appendicitis nausea | DISEASE | 1 |
yoshikawa hiyori | PERSON | 1 |
zubair afzal | PERSON | 1 |
zenan | GPE | 1 |
zhai | GPE | 1 |
zhang et al | PERSON | 1 |
zhang et al s | PERSON | 1 |
zhong wei | PERSON | 1 |
zhuang shengyao zuccon guido | PERSON | 1 |
acids | CHEMICAL | 1 |
apathy | DISEASE | 1 |
al 14 | PERSON | 1 |
al s | LOC | 1 |
album 5 | PERSON | 1 |
aloe vera | DISEASE | 1 |
amazon exploring | ORG | 1 |
an australian research council linkage project lp160101469 | ORG | 1 |
madmps knowledge | PERSON | 1 |
malicious | CHEMICAL | 1 |
nltk | ORG | 1 |
the receiver operating characteristic area under the curve roc | ORG | 1 |
the h2020 safe deed | ORG | 1 |
the hierarchical attention network hatt | ORG | 1 |
the hierarchical gated neural network | ORG | 1 |
the hybrid gaussian | ORG | 1 |
the independence cascade | ORG | 1 |
the infosys center for ai iiit delhi | ORG | 1 |
the inverse propensity scoring ips | ORG | 1 |
the mean squared error mse | ORG | 1 |
the middle east | LOC | 1 |
the mixture of language models | ORG | 1 |
the multi head attention | ORG | 1 |
the new york times | ORG | 1 |
the new york times annotated corpus | ORG | 1 |
the pairwise differentiable gradient descent | ORG | 1 |
the proposition bank 12 | ORG | 1 |
the goals of this evaluation lab | PERSON | 1 |
the genomics unit | ORG | 1 |
the foundation for economic education for the | ORG | 1 |
the deep structured semantic model dssm 5 or | ORG | 1 |
the bavarian ministry for economic affairs infrastructure transport and technology through the center for analytics data | ORG | 1 |
the capitalist peace theory | ORG | 1 |
the center for intelligent information retrieval | ORG | 1 |
the checkthat lab | ORG | 1 |
the dblp | ORG | 1 |
the dmp common standards model | ORG | 1 |
the effectiveness of the standard insights extraction pipeline for bantu languages | ORG | 1 |
the european regional development fund erdf feder | ORG | 1 |
the encyclopedia of anti revisionism | ORG | 1 |
the european commission ec | ORG | 1 |
the european community | ORG | 1 |
the european community s horizon | ORG | 1 |
the european patent office | ORG | 1 |
the european regional development fund | ORG | 1 |
the qatar computing research institute | ORG | 1 |
the replicability of combining word embeddings | ORG | 1 |
max indexes | PERSON | 1 |
the research data alliance | ORG | 1 |
upload | CHEMICAL | 1 |
uterine contractions | DISEASE | 1 |
van halen | PERSON | 1 |
w q d | CHEMICAL | 1 |
w dom | PERSON | 1 |
watson developercloud | GPE | 1 |
weight query | CHEMICAL | 1 |
widest matched | LOC | 1 |
www gurobi | GPE | 1 |
y y k | PERSON | 1 |
zeroes | CHEMICAL | 1 |
β | PERSON | 1 |
β s | PERSON | 1 |
β s j | PERSON | 1 |
β2 | GPE | 1 |
uni modal vector space | ORG | 1 |
tuples | CHEMICAL | 1 |
tripartite gan | DISEASE | 1 |
the topic word attention twa | ORG | 1 |
the robertson spärck jones | ORG | 1 |
the spanish government | ORG | 1 |
the stanford large network dataset | ORG | 1 |
the support flow graph | ORG | 1 |
the swiss national science foundation | ORG | 1 |
the trec washington post corpus | ORG | 1 |
the twenty eighth international joint conference on artificial intelligence ijcai 2019 | ORG | 1 |
treebank | CHEMICAL | 1 |
the twenty seventh international joint conference on artificial intelligence ijcai | ORG | 1 |
the twenty sixth international joint conference on artificial intelligence ijcai 2017 | ORG | 1 |
the united states patent | GPE | 1 |
the university of south carolina | ORG | 1 |
the de facto foundation | ORG | 1 |
the widest matched | GPE | 1 |
the automatic identification and verification of claims | ORG | 1 |
the association for computational linguistics human language technologies | ORG | 1 |
the association for computational linguistics acl | ORG | 1 |
td t and len v | ORG | 1 |
nodes n gi | CHEMICAL | 1 |
nodes v | CHEMICAL | 1 |
oracle | DISEASE | 1 |
orange yellow green blue | CHEMICAL | 1 |
organisms | TAXON | 1 |
our school of business | ORG | 1 |
ov2lzus4 | GPE | 1 |
pain | DISEASE | 1 |
panic | DISEASE | 1 |
pf icf | ORG | 1 |
physical damage | DISEASE | 1 |
precalculate | CHEMICAL | 1 |
prefix lca | CHEMICAL | 1 |
premises | LOC | 1 |
proximity | DISEASE | 1 |
neighbor Γ q u t | CHEMICAL | 1 |
negation | CHEMICAL | 1 |
n grams | PERSON | 1 |
metapath a | CHEMICAL | 1 |
max n t d | PERSON | 1 |
max θ v | PERSON | 1 |
mc 2 and y ax 2 | ORG | 1 |
memory lucene | DISEASE | 1 |
metadata | PERSON | 1 |
metadata data | ORG | 1 |
metapath a p v p a | CHEMICAL | 1 |
n 1 to n 999 | ORG | 1 |
min session | ORG | 1 |
miscarriage | DISEASE | 1 |
monolingual newswire | CHEMICAL | 1 |
multi language transformer | DISEASE | 1 |
multiclass logistic regression | ORG | 1 |
multilingual language | DISEASE | 1 |
psychological disorders erisk | DISEASE | 1 |
puppy | TAXON | 1 |
q ω | PERSON | 1 |
sarcasm | DISEASE | 1 |
reading disabilities | DISEASE | 1 |
recall disease | DISEASE | 1 |
regressor σ | PERSON | 1 |
rel g | PERSON | 1 |
relational machine learning | DISEASE | 1 |
rewritten | CHEMICAL | 1 |
sha 3b0eb15924c86c2189d73c3259ea3c7554f44917 | CHEMICAL | 1 |
rat | TAXON | 1 |
softmax | PERSON | 1 |
solvents | CHEMICAL | 1 |
steadystate | CHEMICAL | 1 |
subarea | GPE | 1 |
suicidal thoughts | DISEASE | 1 |
tabla | DISEASE | 1 |
reading behavior | DISEASE | 1 |
ranker coltr | PERSON | 1 |
q5 | PERSON | 1 |
query opt t | CHEMICAL | 1 |
qi qi 1 jaccard query pair similarity | CHEMICAL | 1 |
qj n qj | ORG | 1 |
qj n qj n | CHEMICAL | 1 |
qt0ly5d0 | CHEMICAL | 1 |
qt0ly5d0 a | CHEMICAL | 1 |
query 303 | CHEMICAL | 1 |
query q | CHEMICAL | 1 |
query sequence s k s s k q 1 q 2 q k 1 q k 1 k m the target query q k given the | CHEMICAL | 1 |
query q q 1 q 2 q m based | CHEMICAL | 1 |
query length analysis sect 4 1 sessions | CHEMICAL | 1 |
query q q | CHEMICAL | 1 |
query q i belonging to session s and task t | CHEMICAL | 1 |
query q k 1 and long term | CHEMICAL | 1 |
query q k 1 ranked | CHEMICAL | 1 |
vehicle damage | DISEASE | 1 |
variational recurrent seq2seq | PERSON | 1 |
variational | PERSON | 1 |
rq4 how | ORG | 1 |
q q 1 q 2 q | PERSON | 1 |
qljm qld | PERSON | 1 |
qu | CHEMICAL | 1 |
qu xianshan li | PERSON | 1 |
query aware context analysis | ORG | 1 |
query expansion query | ORG | 1 |
question answering qa | ORG | 1 |
rcnn neural | ORG | 1 |
re | ORG | 1 |
reagent | ORG | 1 |
rf | ORG | 1 |
rgb text pre | ORG | 1 |
rmse | ORG | 1 |
rq1 | ORG | 1 |
rq3 | ORG | 1 |
pubmed central pmc | LOC | 1 |
pu 15 | PERSON | 1 |
pu | CHEMICAL | 1 |
portugal | GPE | 1 |
patterns | PERSON | 1 |
perceptron mlp | PERSON | 1 |
personalized | ORG | 1 |
phrasier | ORG | 1 |
plaban | CHEMICAL | 1 |
porter | ORG | 1 |
positionrank | CHEMICAL | 1 |
problems of peace and socialism | ORG | 1 |
possibly | ORG | 1 |
precision of dataset retrieval | ORG | 1 |
preslav | CHEMICAL | 1 |
previous | LOC | 1 |
price | ORG | 1 |
probabilistic interleaving pigd | ORG | 1 |
rq3 sattam | ORG | 1 |
rt | ORG | 1 |
valcarce | PERSON | 1 |
rvl | ORG | 1 |
regression lr | PERSON | 1 |
relational | ORG | 1 |
relational structure theory | ORG | 1 |
relevance filtering and severity analysis | ORG | 1 |
rennings | CHEMICAL | 1 |
rep note | PERSON | 1 |
resnet | PERSON | 1 |
restarts rwr | DISEASE | 1 |
results | PERSON | 1 |
retrieval models | ORG | 1 |
reusing | GPE | 1 |
revisiting | GPE | 1 |
rix | PERSON | 1 |
robert ferenczi jim lin jimmy | PERSON | 1 |
robin | DISEASE | 1 |
reem suwaileh | PERSON | 1 |
ORG | 1 | |
recognition | ORG | 1 |
random forest rf | ORG | 1 |
rwr | CHEMICAL | 1 |
racerpro | ORG | 1 |
rademacher complexity | DISEASE | 1 |
ralph akhondi saber | PERSON | 1 |
random forest 11 | ORG | 1 |
random forest based | ORG | 1 |
rank challenge | ORG | 1 |
recall k precision | ORG | 1 |
ranknet | ORG | 1 |
rapid | PERSON | 1 |
relu | PERSON | 1 |
read net | PERSON | 1 |
readnet a hierarchical transformer framework for web article readability analysis | ORG | 1 |
readability analysis | ORG | 1 |
patent information retrieval | ORG | 1 |
paris | GPE | 1 |
parameters | ORG | 1 |
parameter sensitivity analysis | ORG | 1 |
neural | ORG | 1 |
neural information processing systems | ORG | 1 |
neural information retrieval neural | ORG | 1 |
neural learning | ORG | 1 |
neuroner | CHEMICAL | 1 |
neville jennifer | PERSON | 1 |
new york times | ORG | 1 |
next generation sequencing | ORG | 1 |
nguyen dat quoc | PERSON | 1 |
nicola tonellotto | ORG | 1 |
nietzsche | ORG | 1 |
nigeria | GPE | 1 |
non negative | ORG | 1 |
none alam et al 1 | PERSON | 1 |
notice | ORG | 1 |
neumann patrick | PERSON | 1 |
netflix | LOC | 1 |
nepali surinamese | PERSON | 1 |
nss | ORG | 1 |
nmi | CHEMICAL | 1 |
nn k | GPE | 1 |
np | ORG | 1 |
nprf | CHEMICAL | 1 |
nps | CHEMICAL | 1 |
nrc | ORG | 1 |
nwo additional | ORG | 1 |
nchabeleng mathibele byamugisha joan | ORG | 1 |
na | CHEMICAL | 1 |
naive bayes | PERSON | 1 |
naive bayes or | ORG | 1 |
national funds through fct foundation for science and technology | ORG | 1 |
natural language interfaces | ORG | 1 |
nayef | ORG | 1 |
nouns | ORG | 1 |
oov | ORG | 1 |
opt t i e p t p p leafroot paths t n n t | CHEMICAL | 1 |
pagerank 9 | ORG | 1 |
prf lda an lda | PERSON | 1 |
prf methods | ORG | 1 |
ptdc | CHEMICAL | 1 |
ptdc eei | ORG | 1 |
pv dbow | ORG | 1 |
pv dbow dm | ORG | 1 |
pagerank additional | ORG | 1 |
pcm | CHEMICAL | 1 |
pagerank biased pr | ORG | 1 |
pagerank | ORG | 1 |
paneer | PERSON | 1 |
paolo moriceau véronique | PERSON | 1 |
papadakos | GPE | 1 |
papariello luca | ORG | 1 |
pdgd note | ORG | 1 |
pac bayesian analysis | ORG | 1 |
os | GPE | 1 |
online learning | PERSON | 1 |
osirrc | ORG | 1 |
odijk | GPE | 1 |
offline | ORG | 1 |
onal | ORG | 1 |
oneida | PERSON | 1 |
online evaluation | ORG | 1 |
ontologies semantic technology | ORG | 1 |
pac | CHEMICAL | 1 |
oosterhuis et al 22 | ORG | 1 |
openstreetmap | CHEMICAL | 1 |
optimizing | GPE | 1 |
overall objective function | ORG | 1 |
overview | ORG | 1 |
p castells | ORG | 1 |
robin guille | PERSON | 1 |
rose john | PERSON | 1 |
rosset | GPE | 1 |
trec 2004 | ORG | 1 |
text service | GPE | 1 |
tf | CHEMICAL | 1 |
the dmp common standard ontology dcso 1 | ORG | 1 |
the hierarchical attention network | ORG | 1 |
the machine actionable data management plan | ORG | 1 |
the smart retrieval system experiments | ORG | 1 |
theoretically | PERSON | 1 |
thomas | GPE | 1 |
tiburg centre for creative computing computer | ORG | 1 |
titukakimureeterahoganu | GPE | 1 |
tobias zeimetz | PERSON | 1 |
tools home improvement | ORG | 1 |
top n | ORG | 1 |
topic word attention | ORG | 1 |
topicmf | ORG | 1 |
text preprocessing | PERSON | 1 |
text image video summary generation using joint integer linear programming date 2020 | ORG | 1 |
text | LOC | 1 |
tamine | CHEMICAL | 1 |
trec 4 overview | ORG | 1 |
trec 5 and 6 26 | ORG | 1 |
trec robust | ORG | 1 |
table 3 4 comparing lcd | ORG | 1 |
table 4 | GPE | 1 |
tamer elsayed | ORG | 1 |
tamine lynda melgarejo | PERSON | 1 |
testitems | ORG | 1 |
tanbih | PERSON | 1 |
tangent s | PERSON | 1 |
teams | ORG | 1 |
technical | ORG | 1 |
tecnologia | ORG | 1 |
terabyte | PERSON | 1 |
trabelsi | CHEMICAL | 1 |
traditional rwr | ORG | 1 |
transnets | ORG | 1 |
var | ORG | 1 |
umap | ORG | 1 |
upv | ORG | 1 |
uganda | GPE | 1 |
university of tor vergata | ORG | 1 |
usage scenarios automatically | PERSON | 1 |
user | ORG | 1 |
var add q1 | ORG | 1 |
u m k | CHEMICAL | 1 |
var times | ORG | 1 |
var times var | ORG | 1 |
verse | ORG | 1 |
vgg 16 | ORG | 1 |
vplan | GPE | 1 |
vso | ORG | 1 |
u Γ | CHEMICAL | 1 |
u s party | ORG | 1 |
transnets t nets 7 whose | CHEMICAL | 1 |
tresp volker seidl thomas title knowledge graph entity | DISEASE | 1 |
transrev modeling reviews as | ORG | 1 |
transrev transrev | ORG | 1 |
transformer | PERSON | 1 |
transformer self attention encoder | ORG | 1 |
translations | PERSON | 1 |
traversing | ORG | 1 |
tricks | CHEMICAL | 1 |
u e | CHEMICAL | 1 |
trump | PERSON | 1 |
tweetcred | ORG | 1 |
twitter the copenhagen | ORG | 1 |
twitterstand 23 | ORG | 1 |
twitterstand | GPE | 1 |
tẼ nv | ORG | 1 |
trec 3 and 4 25 | ORG | 1 |
tivs | ORG | 1 |
s 1 and s | LOC | 1 |
tin2016 | CHEMICAL | 1 |
second level domains | ORG | 1 |
sect 1 deep location prediction rq1 | ORG | 1 |
seed | LOC | 1 |
semantic parsing | PERSON | 1 |
semantic path | PERSON | 1 |
semantic role labeling and argument structure | LOC | 1 |
semantic technologies section 3 | ORG | 1 |
sentiword | ORG | 1 |
sentiwords splm | ORG | 1 |
sepedi sesotho | ORG | 1 |
seq2seq | CHEMICAL | 1 |
sequential question answering sqa | ORG | 1 |
several | PERSON | 1 |
shaurya | DISEASE | 1 |
shi et | PERSON | 1 |
sebastian zlabinger | PERSON | 1 |
scibert | ORG | 1 |
schenkel ralf | PERSON | 1 |
srps | CHEMICAL | 1 |
se | DISEASE | 1 |
selinux | ORG | 1 |
slq | ORG | 1 |
smo | CHEMICAL | 1 |
sne dimensionality | ORG | 1 |
sne hidden | ORG | 1 |
sspmi | ORG | 1 |
schema | LOC | 1 |
st | ORG | 1 |
starting material | PERSON | 1 |
stl stl | CHEMICAL | 1 |
svo | ORG | 1 |
santosh tokala | PERSON | 1 |
sarcasm | DISEASE | 1 |
shi et al | PERSON | 1 |
short medium and long | ORG | 1 |
shot multi | ORG | 1 |
studer | PERSON | 1 |
spain | GPE | 1 |
spanishanalyzer | ORG | 1 |
stafordner | CHEMICAL | 1 |
start middle | LOC | 1 |
statistical machine translation | ORG | 1 |
stefan pohl | PERSON | 1 |
stéphane | CHEMICAL | 1 |
sordoni et al | PERSON | 1 |
support vector machines | ORG | 1 |
surprisingly hft | ORG | 1 |
surprisingly tf | ORG | 1 |
tf idf | CHEMICAL | 1 |
tfc2 | CHEMICAL | 1 |
time | ORG | 1 |
south africa | GPE | 1 |
sooyeol | CHEMICAL | 1 |
sim | GPE | 1 |
snippet retrieval | PERSON | 1 |
simrank | ORG | 1 |
similarly m img | PERSON | 1 |
singlerank 27 | ORG | 1 |
sisi | PERSON | 1 |
situational | ORG | 1 |
snippet | PERSON | 1 |
snopes and politifact evaluation mean average precision | ORG | 1 |
solr and elasticsearch | ORG | 1 |
social | LOC | 1 |
social media marketing | ORG | 1 |
social media erisk | ORG | 1 |
softmax | PERSON | 1 |
sogou qcl | PERSON | 1 |
sohmen | ORG | 1 |
0 8093 | CHEMICAL | 1 |