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*SEMEVAL - 2019
Total Papers:- 265
Total Papers accross all years:- 1898
Total Citations :- 0
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Exploration of Noise Strategies in Semi-supervised Named Entity Classification
Pooja Lakshmi Narayan |
Ajay Nagesh |
Mihai Surdeanu |
Are We Consistently Biased? Multidimensional Analysis of Biases in Distributional Word Vectors
Anne Lauscher |
Goran Glavaš |
Improving Human Needs Categorization of Events with Semantic Classification
Haibo Ding |
Ellen Riloff |
Zhe Feng |
Word Usage Similarity Estimation with Sentence Representations and Automatic Substitutes
Aina Garí Soler |
Marianna Apidianaki |
Alexandre Allauzen |
Automatic Accuracy Prediction for AMR Parsing
Juri Opitz |
Anette Frank |
MCScript2.0: A Machine Comprehension Corpus Focused on Script Events and Participants
Simon Ostermann |
Michael Roth |
Manfred Pinkal |
Probing What Different NLP Tasks Teach Machines about Function Word Comprehension
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 |
Scalable Cross-Lingual Transfer of Neural Sentence Embeddings
Hanan Aldarmaki |
Mona Diab |
On Adversarial Removal of Hypothesis-only Bias in Natural Language Inference
Yonatan Belinkov |
Adam Poliak |
Stuart Shieber |
Benjamin Van Durme |
Alexander Rush |
Learning Graph Embeddings from WordNet-based Similarity Measures
Andrey Kutuzov |
Mohammad Dorgham |
Oleksiy Oliynyk |
Chris Biemann |
Alexander Panchenko |
SURel: A Gold Standard for Incorporating Meaning Shifts into Term Extraction
Anna Hätty |
Dominik Schlechtweg |
Sabine Schulte im Walde |
Beyond Context: A New Perspective for Word Embeddings
Yichu Zhou |
Vivek Srikumar |
Second-order contexts from lexical substitutes for few-shot learning of word representations
Qianchu Liu |
Diana McCarthy |
Anna Korhonen |
Neural User Factor Adaptation for Text Classification: Learning to Generalize Across Author Demographics
Xiaolei Huang |
Michael J. Paul |
Target Based Speech Act Classification in Political Campaign Text
Shivashankar Subramanian |
Trevor Cohn |
Timothy Baldwin |
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