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*SEM@NAACL-HLT 2019: Minneapolis, MN, USA
- Rada Mihalcea, Ekaterina Shutova, Lun-Wei Ku, Kilian Evang, Soujanya Poria:
Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics, *SEM@NAACL-HLT 2019, Minneapolis, MN, USA, June 6-7, 2019. Association for Computational Linguistics 2019, ISBN 978-1-948087-93-3 - Anna Hätty, Dominik Schlechtweg, Sabine Schulte im Walde:
SURel: A Gold Standard for Incorporating Meaning Shifts into Term Extraction. 1-8 - Aina Garí Soler, Marianna Apidianaki, Alexandre Allauzen:
Word Usage Similarity Estimation with Sentence Representations and Automatic Substitutes. 9-21 - Yichu Zhou, Vivek Srikumar:
Beyond Context: A New Perspective for Word Embeddings. 22-32 - Damien Sileo, Tim Van de Cruys, Camille Pradel, Philippe Muller:
Composition of Embeddings : Lessons from Statistical Relational Learning. 33-43 - Li Zhang, Steven R. Wilson, Rada Mihalcea:
Multi-Label Transfer Learning for Multi-Relational Semantic Similarity. 44-50 - Hanan Aldarmaki, Mona T. Diab:
Scalable Cross-Lingual Transfer of Neural Sentence Embeddings. 51-60 - Qianchu Liu, Diana McCarthy, Anna Korhonen:
Second-order contexts from lexical substitutes for few-shot learning of word representations. 61-67 - Dongfang Xu, Egoitz Laparra, Steven Bethard:
Pre-trained Contextualized Character Embeddings Lead to Major Improvements in Time Normalization: a Detailed Analysis. 68-74 - Jonathan Herzig, Tommy Sandbank, Michal Shmueli-Scheuer, David Konopnicki:
Bot2Vec: Learning Representations of Chatbots. 75-84 - Anne Lauscher, Goran Glavas:
Are We Consistently Biased? Multidimensional Analysis of Biases in Distributional Word Vectors. 85-91 - Rajagopal Venkatesaramani, Doug Downey, Bradley A. Malin, Yevgeniy Vorobeychik:
A Semantic Cover Approach for Topic Modeling. 92-102 - Simon Ostermann, Michael Roth, Manfred Pinkal:
MCScript2.0: A Machine Comprehension Corpus Focused on Script Events and Participants. 103-117 - Christopher Davis, Luana Bulat, Anita Lilla Vero, Ekaterina Shutova:
Deconstructing multimodality: visual properties and visual context in human semantic processing. 118-124 - Andrey Kutuzov, Mohammad Dorgham, Oleksiy Oliynyk, Chris Biemann, Alexander Panchenko:
Learning Graph Embeddings from WordNet-based Similarity Measures. 125-135 - Xiaolei Huang, Michael J. Paul:
Neural User Factor Adaptation for Text Classification: Learning to Generalize Across Author Demographics. 136-146 - Vivi Nastase, Bhushan Kotnis:
Abstract Graphs and Abstract Paths for Knowledge Graph Completion. 147-157 - Zahra Sarabi, Erin Killian, Eduardo Blanco, Alexis Palmer:
A Corpus of Negations and their Underlying Positive Interpretations. 158-167 - Eimear Maguire:
Enthymemetic Conditionals. 168-177 - Yuchen Zhang, Nianwen Xue:
Acquiring Structured Temporal Representation via Crowdsourcing: A Feasibility Study. 178-185 - Pooja Lakshmi Narayan, Ajay Nagesh, Mihai Surdeanu:
Exploration of Noise Strategies in Semi-supervised Named Entity Classification. 186-191 - Sanjay Subramanian, Dan Roth:
Improving Generalization in Coreference Resolution via Adversarial Training. 192-197 - Haibo Ding, Ellen Riloff, Zhe Feng:
Improving Human Needs Categorization of Events with Semantic Classification. 198-204 - Oshin Agarwal, Funda Durupinar, Norman I. Badler, Ani Nenkova:
Word Embeddings (Also) Encode Human Personality Stereotypes. 205-211 - Juri Opitz, Anette Frank:
Automatic Accuracy Prediction for AMR Parsing. 212-223 - Juri Opitz, Anette Frank:
An Argument-Marker Model for Syntax-Agnostic Proto-Role Labeling. 224-234 - Najoung Kim, Roma Patel, Adam Poliak, Patrick Xia, Alex Wang, Tom McCoy, Ian Tenney, Alexis Ross, Tal Linzen, Benjamin Van Durme, Samuel R. Bowman, Ellie Pavlick:
Probing What Different NLP Tasks Teach Machines about Function Word Comprehension. 235-249 - Hitomi Yanaka, Koji Mineshima, Daisuke Bekki, Kentaro Inui, Satoshi Sekine, Lasha Abzianidze, Johan Bos:
HELP: A Dataset for Identifying Shortcomings of Neural Models in Monotonicity Reasoning. 250-255 - Yonatan Belinkov, Adam Poliak, Stuart M. Shieber, Benjamin Van Durme, Alexander M. Rush:
On Adversarial Removal of Hypothesis-only Bias in Natural Language Inference. 256-262 - Jean-Philippe Bernardy, Rasmus Blanck, Stergios Chatzikyriakidis, Shalom Lappin, Aleksandre Maskharashvili:
Bayesian Inference Semantics: A Modelling System and A Test Suite. 263-272 - Shivashankar Subramanian, Trevor Cohn, Timothy Baldwin:
Target Based Speech Act Classification in Political Campaign Text. 273-282 - Farig Sadeque, Stephen A. Rains, Yotam Shmargad, Kate Kenski, Kevin Coe, Steven Bethard:
Incivility Detection in Online Comments. 283-291 - Yeyao Zhang, Eleftheria Tsipidi, Sasha Schriber, Mubbasir Kapadia, Markus Gross, Ashutosh Modi:
Generating Animations from Screenplays. 292-307
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