id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_vqm2sxewfjcnxp754zqhb4frdm	Mike Lewis	Combined Distributional and Logical Semantics	2013	15	.pdf	application/pdf	7989	796	59	https://www.research.ed.ac.uk/portal/en/publications/combined-distributional-and-logical-semantics(2aae1bb8-66ff-474c-be0d-3b829573bbbc).html We follow formal semantics in mapping language to logical representations, but differ in that the relational This approach is useful for a range of key applications including question answering and relation extraction Whilst distributional semantics has been effective in modelling the meanings of content words Our approach differs from standard formal semantics in that the non-logical symbols used in the logical form are cluster identifiers. verb syntactically as a function mapping two nounphrases to a sentence, and semantically as a binary relation between its two argument entities. compare semantic relations across different syntactic types—for example, both transitive verbs and argument-taking nouns can be seen as expressing binary semantic relations between entities. the cluster model learned in Section 6, using all possible corresponding typed predicates. • CCG-Distributional The logical form including the type model and clusters. Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies Volume 1, HLT '11, pages 610–	./cache/work_vqm2sxewfjcnxp754zqhb4frdm.pdf	./txt/work_vqm2sxewfjcnxp754zqhb4frdm.txt