SlowGuess/ACL_2020_OCR huggingface dataset:
Daniel Lassiter. 2011. Vagueness as probabilistic linguistic knowledge. In Rick Nouwen, Robert van Rooij, Uli Sauerland, and Hans-Christian Schmitz, editors, Vagueness in Communication: Revised Selected Papers from the 2009 International Workshop on Vagueness in Communication, chapter 8, pages 127-150. Springer.
Jey Han Lau, Paul Cook, Diana McCarthy, Spandana Gella, and Timothy Baldwin. 2014. Learning word sense distributions, detecting unattested senses and identifying novel senses using topic models. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL), Long Papers, pages 259-270.
Jey Han Lau, Paul Cook, Diana McCarthy, David Newman, and Timothy Baldwin. 2012. Word sense induction for novel sense detection. In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics (EACL), Long Papers, pages 591-601.
Angeliki Lazaridou, Elia Bruni, and Marco Baroni. 2014. Is this a wampimuk? Cross-modal mapping between distributional semantics and the visual world. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL), Long Papers, pages 1403-1414.
Angeliki Lazaridou, Nghia The Pham, and Marco Baroni. 2015. Combining language and vision with a multimodal Skip-gram model. In Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL), pages 153-163.
Omer Levy and Yoav Goldberg. 2014. Neural word embedding as implicit matrix factorization. In Advances in Neural Information Processing Systems 27 (NIPS), pages 2177-2185.
Omer Levy, Steffen Remus, Chris Biemann, and Ido Dagan. 2015. Do supervised distributional methods really learn lexical inference relations? In Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL), pages 970-976.
David Lewis. 1970. General semantics. Synthese, 22:18-67.
Martha Lewis. 2019. Modelling hyponymy for DisCoCat.
Mike Lewis and Mark Steedman. 2013. Combined distributional and logical semantics. Transactions of the Association for Computational Linguistics (TACL), 1:179-192.
Jiwei Li and Dan Jurafsky. 2015. Do multi-sense embeddings improve natural language understanding? In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 1722-1732.
Xiang Li, Luke Vilnis, and Andrew McCallum. 2017. Improved representation learning for predicting commonsense ontologies. In Proceedings of the ICML 17 Workshop on Deep Structured Prediction.
Marco Lui, Timothy Baldwin, and Diana McCarthy. 2012. Unsupervised estimation of word usage similarity. In Proceedings of the 10th Australasian Language Technology Association Workshop (ALTA), pages 33-41.
Jean Maillard and Stephen Clark. 2018. Latent tree learning with differentiable parsers: Shift-reduce parsing and chart parsing. In Proceedings of the Workshop on the Relevance of Linguistic Structure in Neural Architectures for NLP, pages 13-18.
Diego Marcheggiani and Ivan Titov. 2017. Encoding sentences with graph convolutional networks for semantic role labeling. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 1506-1515.
Arild Matsson, Simon Dobnik, and Staffan Larsson. 2019. ImageTTR: Grounding Type Theory with Records in image classification for visual question answering. In Proceedings of the IWCS 2019 Workshop on Computing Semantics with Types, Frames and Related Structures, pages 55-64. Association for Computational Linguistics.
Diana McCarthy, Marianna Apidianaki, and Katrin Erk. 2016. Word sense clustering and clusterability. Computational Linguistics, 42(2):245-275.
Michael E. McCloskey and Sam Glucksberg. 1978. Natural categories: Well defined or fuzzy sets? Memory & Cognition, 6(4):462-472.
Brian McMahan and Matthew Stone. 2015. A Bayesian model of grounded color semantics. Transactions of the Association for Computational Linguistics (TACL), 3:103-115.
Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013. Efficient estimation of word representations in vector space. In Proceedings of the 1st International Conference on Learning Representations (ICLR), Workshop Track.
George A Miller. 1995. WordNet: a lexical database for English. Communications of the ACM, 38(11):39-41.
Pasquale Minervini, Matko Bosnjak, Tim Rocktäschel, and Sebastian Riedel. 2018. Towards neural theorem proving at scale. In Proceedings of the ICML 2018 Workshop on Neural Abstract Machines & Program Induction (NAMPI).
Jeff Mitchell and Mirella Lapata. 2008. Vector-based models of semantic composition. In Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics (ACL), Long Papers, pages 236-244.
7450
Jeff Mitchell and Mirella Lapata. 2010. Composition in distributional models of semantics. Cognitive Science, 34(8):1388-1429.
Raymond J. Mooney. 2014. Semantic parsing: Past, present, and future. Invited talk at the ACL 2014 Workshop on Semantic Parsing.
Gregory Murphy. 2002. The big book of concepts. Massachusetts Institute of Technology (MIT) Press.
Maximillian Nickel and Douwe Kiela. 2017. Poincaré embeddings for learning hierarchical representations. In Advances in Neural Information Processing Systems 30 (NIPS), pages 6338-6347.
Vilém Novák. 2017. Fuzzy logic in natural language processing. In Proceedings of the 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pages 1-6.
Charles K. Ogden and Ivor A. Richards. 1923. The meaning of meaning: A study of the influence of language upon thought and of the science of symbolism. Harcourt, Brace & World, Inc.
Diane Pecher, Inge Boot, and Saskia Van Dantzig. 2011. Abstract concepts: Sensory-motor grounding, metaphors, and beyond. In Brian Ross, editor, The Psychology of Learning and Motivation, volume 54, chapter 7, pages 217-248. Academic Press.
Jeffrey Pennington, Richard Socher, and Christopher D Manning. 2014. Glove: Global vectors for word representation. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 1532-1543.
Matthew Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 2018. Deep contextualized word representations. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL): Human Language Technologies, Volume 1 (Long Papers), pages 2227-2237.
Robin Piedeleu, Dimitri Kartsaklis, Bob Coecke, and Mehrnoosh Sadrzadeh. 2015. Open system categorical quantum semantics in natural language processing. In Proceedings of the 6th Conference on Algebra and Coalgebra in Computer Science (CALCO), volume 35 of Leibniz International Proceedings in Informatics (LPIcs), pages 270-289. Schloss Dagstuhl-Leibniz-Zentrum für Informatik.
Tamara Polajnar, Laura Rimell, and Stephen Clark. 2014. Evaluation of simple distributional compositional operations on longer texts. In Proceedings of the 9th International Conference on Language Resources and Evaluation (LREC), pages 4440-4443. European Language Resources Association (ELRA).
Tamara Polajnar, Laura Rimell, and Stephen Clark. 2015. An exploration of discourse-based sentence spaces for compositional distributional semantics. In Proceedings of the EMNLP Workshop on Linking Models of Lexical, Sentential and Discourse-level Semantics (LSDSem), pages 1-11. Association for Computational Linguistics.
Diana Nicoleta Popa, Julien Perez, James Henderson, and Eric Gaussier. 2019. Implicit discourse relation classification with syntax-aware contextualized word representations. In Proceedings of the 32nd International Florida Artificial Intelligence Research Society Conference (FLAIRS), pages 203-208.
Friedemann Pulvermüller. 2013. How neurons make meaning: brain mechanisms for embodied and abstract-symbolic semantics. Trends in Cognitive Sciences, 17(9):458-470.
Willard Van Orman Quine. 1960. Word and Object. Massachusetts Institute of Technology (MIT) Press.
Reinhard Rapp. 2004. A practical solution to the problem of automatic word sense induction. In Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics (ACL), Interactive Poster and Demonstration Sessions, pages 26-29.
François Recanati. 2012. Compositionality, flexibility, and context-dependence. In Wolfram Hinzen, Edouard Machery, and Markus Werning, editors, Oxford Handbook of Compositionality, chapter 8, pages 175-191. Oxford University Press.
Marek Rei. 2013. Minimally supervised dependency-based methods for natural language processing. Ph.D. thesis, University of Cambridge.
Marek Rei and Ted Briscoe. 2014. Looking for hyponyms in vector space. In Proceedings of the 18th Conference on Computational Natural Language Learning (CoNLL), pages 68-77. Association for Computational Linguistics.
Marek Rei, Daniela Gerz, and Ivan Vulic. 2018. Scoring lexical entailment with a supervised directional similarity network. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL), Short Papers, pages 638-643.
Danilo Jimenez Rezende, Shakir Mohamed, and Daan Wierstra. 2014. Stochastic backpropagation and approximate inference in deep generative models. In Proceedings of the 31st International Conference on Machine Learning (ICML), pages 1278-1286.
Matthew Richardson and Pedro Domingos. 2006. Markov logic networks. Machine Learning, 62(1):107-136.
Laura Rimell. 2014. Distributional lexical entailment by topic coherence. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics (EACL), Long Papers, pages 511-519.
7451
Laura Rimell, Jean Maillard, Tamara Polajnar, and Stephen Clark. 2016. RELPRON: A relative clause evaluation dataset for compositional distributional semantics. Computational Linguistics, 42(4):661-701.
Tim Rocktäschel and Sebastian Riedel. 2017. End-to-end differentiable proving. In Advances in Neural Information Processing Systems (NeurIPS), pages 3788-3800.
Eleanor Rosch. 1975. Cognitive representations of semantic categories. Journal of experimental psychology: General, 104(3):192.
Eleanor Rosch. 1978. Principles of categorization. In Eleanor Rosch and Barbara Bloom Lloyd, editors, Cognition and categorization, chapter 2, pages 27-48. Lawrence Erlbaum Associates. Reprinted in: Eric Margolis and Stephen Laurence, editors (1999), Concepts: Core Readings, chapter 8, pages 189-206.
Charles Ruhl. 1989. On monosemy: A study in linguistic semantics. State University of New York (SUNY) Press.
Thomas A Runkler. 2016. Generation of linguistic membership functions from word vectors. In Proceedings of the 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pages 993–999.
Mehrnoosh Sadrzadeh, Dimitri Kartsaklis, and Esma Balkir. 2018. Sentence entailment in compositional distributional semantics. Annals of Mathematics and Artificial Intelligence, 82(4):189-218.
David Schlangen, Sina Zarrieß, and Casey Kennington. 2016. Resolving references to objects in photographs using the words-as-classifiers model. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL), Long Papers, pages 1213-1223.
Hinrich Schütze. 1998. Automatic word sense discrimination. Computational Linguistics, 24(1):97-123.
John R. Searle. 1980. The background of meaning. In John R. Searle, Ferenc Kiefer, and Manfred Bierwisch, editors, Speech Act Theory and Pragmatics, chapter 10, pages 221-232. D. Reidel Publishing Company.
Carina Silberer and Mirella Lapata. 2014. Learning grounded meaning representations with autoencoders. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL), Long Papers, pages 721-732.
Edward E. Smith and Douglas L. Medin. 1981. Categories and Concepts. Harvard University Press.
Richard Socher, Brody Huval, Christopher D. Manning, and Andrew Y. Ng. 2012. Semantic compositionality through recursive matrix-vector spaces. In Proceedings of the 2012 Joint Conference on
Empirical Methods in Natural Language Processing (EMNLP) and Computational Natural Language Learning (CoNLL), pages 1201-1211. Association for Computational Linguistics.
Richard Socher, Christopher D. Manning, and Andrew Y. Ng. 2010. Learning continuous phrase representations and syntactic parsing with recursive neural networks. In Proceedings of the NIPS 2010 Deep Learning and Unsupervised Feature Learning Workshop.
Karen Spärck-Jones. 1964. Synonymy and Semantic Classification. Ph.D. thesis, University of Cambridge. Reprinted in 1986 by Edinburgh University Press.
Peter R. Sutton. 2013. Vagueness, Communication, and Semantic Information. Ph.D. thesis, King's College London.
Peter R. Sutton. 2015. Towards a probabilistic semantics for vague adjectives. In Henk Zeevat and Hans-Christian Schmitz, editors, Bayesian Natural Language Semantics and Pragmatics, chapter 10, pages 221-246. Springer.
Peter R. Sutton. 2017. Probabilistic approaches to vagueness and semantic competency. *Erkenntnis*.
Kai Sheng Tai, Richard Socher, and Christopher D. Manning. 2015. Improved semantic representations from Tree-structured Long Short-Term Memory networks. In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL) and the 7th International Joint Conference on Natural Language Processing (IJCNLP), Volume 1 (Long Papers), pages 1556–1566.
Alexandru Tifrea, Gary Bécigneul, and Octavian-Eugen Ganea. 2019. Poincaré GloVe: Hyperbolic word embeddings. In Proceedings of the 7th International Conference on Learning Representations (ICLR).
Stefan Thater, Hagen Fürstenau, and Manfred Pinkal. 2011. Word meaning in context: A simple and effective vector model. In Proceedings of the 5th International Joint Conference on Natural Language Processing (IJCNLP), pages 1134-1143. Asian Federation of Natural Language Processing (AFNLP).
Michalis Titsias and Miguel Lázaro-Gredilla. 2014. Doubly stochastic variational Bayes for non-conjugate inference. In Proceedings of the 31st International Conference on Machine Learning (ICML), pages 1971-1979.
Ronja Utescher. 2019. Visual TTR: Modelling visual question answering in Type Theory with Records. In Proceedings of the 13th International Conference on Computational Semantics (IWCS), Student Papers, pages 9-14. Association for Computational Linguistics.
7452
Kees Van Deemter. 2010. Not exactly: In praise of vagueness. Oxford University Press.
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017. Attention is all you need. In Advances in Neural Information Processing Systems (NeurIPS), pages 5998-6008.
Ivan Vendrov, Ryan Kiros, Sanja Fidler, and Raquel Urtasun. 2016. Order-embeddings of images and language. In Proceedings of the 4th International Conference on Learning Representations (ICLR).
Luke Vilnis, Xiang Li, Shikhar Murty, and Andrew McCallum. 2018. Probabilistic embedding of knowledge graphs with box lattice measures. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL), Long Papers, pages 263-272.
Luke Vilnis and Andrew McCallum. 2015. Word representations via Gaussian embedding. In Proceedings of the 3rd International Conference on Learning Representations (ICLR).
Julie Weeds, Daoud Clarke, Jeremy Reffin, David Weir, and Bill Keller. 2014. Learning to distinguish hypernyms and co-hyponyms. In Proceedings of the 25th International Conference on Computational Linguistics (COLING), pages 2249-2259. International Committee on Computational Linguistics (ICCL).
Julie Weeds, David Weir, and Diana McCarthy. 2004. Characterising measures of lexical distributional similarity. In Proceedings of the 20th International Conference on Computational Linguistics (COLING), pages 1015-1021. International Committee on Computational Linguistics (ICCL).
David Weir, Julie Weeds, Jeremy Reffin, and Thomas Kober. 2016. Aligning packed dependency trees: a theory of composition for distributional semantics. Computational Linguistics, 42(4):727-761.
Adina Williams, Nikita Nangia, and Samuel Bowman. 2018. A broad-coverage challenge corpus for sentence understanding through inference. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL), Long Papers, pages 1112-1122.
Ludwig Wittgenstein. 1953. Philosophical Investigations. Blackwell. Translated by Gertrude Elizabeth Margaret Anscombe. The original German text was published in 1958 under the title Philosophische Untersuchungen.
Lotfi A. Zadeh. 1965. Fuzzy sets. Information and Control, 8(3):338-353.
Lotfi A. Zadeh. 1975. The concept of a linguistic variable and its application to approximate reasoning—I. Information Sciences, 8(3):199-249.
Fabio Massimo Zanzotto, Lorenzo Ferrone, and Marco Baroni. 2015. When the whole is not greater than the combination of its parts: A "decompositional" look at compositional distributional semantics. Computational Linguistics, 41(1):165-173.
Sina Zarrieß and David Schlangen. 2017a. Is this a child, a girl or a car? Exploring the contribution of distributional similarity to learning referential word meanings. In Proceedings of the 15th Annual Conference of the European Chapter of the Association for Computational Linguistics (EACL), Short Papers, pages 86-91.
Sina Zarrieß and David Schlangen. 2017b. Obtaining referential word meanings from visual and distributional information: Experiments on object naming. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL), Long Papers, pages 243-254.
7453