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COLING - 2020
Total Papers:- 1363
Total Papers accross all years:- 7736
Total Citations :- 0
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A Sentiment-annotated Dataset of English Causal Connectives
Marta Andersson |
Murathan Kurfalı |
Robert Östling |
Lee at SemEval-2020 Task 12: A BERT Model Based on the Maximum Self-ensemble Strategy for Identifying Offensive Language
Junyi Li |
Xiaobing Zhou |
Zichen Zhang |
Investigating Catastrophic Forgetting During Continual Training for Neural Machine Translation
Shuhao Gu |
Yang Feng |
Distinguishing Between Foreground and Background Events in News
Mohammed Aldawsari |
Adrian Perez |
Deya Banisakher |
Mark Finlayson |
Hierarchical summarization of financial reports with RUNNER
Marina Litvak |
Natalia Vanetik |
Zvi Puchinsky |
Assessing Social License to Operate from the Public Discourse on Social Media
Chang Xu |
Cecile Paris |
Ross Sparks |
Surya Nepal |
Keith VanderLinden |
Medical Knowledge-enriched Textual Entailment Framework
Shweta Yadav |
Vishal Pallagani |
Amit Sheth |
An analysis of language models for metaphor recognition
Arthur Neidlein |
Philip Wiesenbach |
Katja Markert |
Bi-directional CognitiveThinking Network for Machine Reading Comprehension
Wei Peng |
Yue Hu |
Luxi Xing |
Yuqiang Xie |
Jing Yu |
Yajing Sun |
Xiangpeng Wei |
SemEval-2020 Task 3: Graded Word Similarity in Context
Carlos Santos Armendariz |
Matthew Purver |
Senja Pollak |
Nikola Ljubešić |
Matej Ulčar |
Ivan Vulić |
Mohammad Taher Pilehvar |
It’s absolutely divine! Can fine-grained sentiment analysis benefit from coreference resolution?
Orphee De Clercq |
Veronique Hoste |
Grammatical error detection in transcriptions of spoken English
Andrew Caines |
Christian Bentz |
Kate Knill |
Marek Rei |
Paula Buttery |
Proceedings of the 3rd International Workshop on Rumours and Deception in Social Media (RDSM)
Ahmet Aker |
Arkaitz Zubiaga |
Comparison by Conversion: Reverse-Engineering UCCA from Syntax and Lexical Semantics
Daniel Hershcovich |
Nathan Schneider |
Dotan Dvir |
Jakob Prange |
Miryam de Lhoneux |
Omri Abend |
Unequal Representations: Analyzing Intersectional Biases in Word Embeddings Using Representational Similarity Analysis
Michael Lepori |
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