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1
Leveraging Topic Relatedness for Argument Persuasion ...
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2
GENERALIZED OPTIMAL LINEAR ORDERS
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3
GRIT: Generative Role-filler Transformers for Document-level Event Entity Extraction ...
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4
WikiLingua: A New Benchmark Dataset for Cross-Lingual Abstractive Summarization ...
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5
Exploring the Role of Argument Structure in Online Debate Persuasion ...
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6
The Role of Pragmatic and Discourse Context in Determining Argument Impact ...
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7
Investigating Prior Knowledge for Challenging Chinese Machine Reading Comprehension
In: Transactions of the Association for Computational Linguistics, Vol 8, Pp 141-155 (2020) (2020)
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8
Learning Deep Representations for Low-Resource Cross-Lingual Natural Language Processing
Chen, Xilun. - 2019
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9
DREAM: A Challenge Data Set and Models for Dialogue-Based Reading Comprehension
In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 217-231 (2019) (2019)
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10
Learning Deep Models with Linguistically-Inspired Structure
Niculae, Vlad. - 2018
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11
Multi-Source Cross-Lingual Model Transfer: Learning What to Share ...
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12
Unsupervised Multilingual Word Embeddings ...
Chen, Xilun; Cardie, Claire. - : arXiv, 2018
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13
Harvesting Paragraph-Level Question-Answer Pairs from Wikipedia ...
Du, Xinya; Cardie, Claire. - : arXiv, 2018
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14
Learning to Ask: Neural Question Generation for Reading Comprehension ...
Du, Xinya; Shao, Junru; Cardie, Claire. - : arXiv, 2017
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15
Extracting Opinions And Events From Text: Joint Inference Approaches
Yang, Bishan. - 2016
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16
Summarization And Sentiment Analysis For Understanding Socially-Generated Content
Wang, Lu. - 2016
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17
A Sentence Compression Based Framework to Query-Focused Multi-Document Summarization ...
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18
Improving Agreement and Disagreement Identification in Online Discussions with A Socially-Tuned Sentiment Lexicon ...
Wang, Lu; Cardie, Claire. - : arXiv, 2016
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19
A Conversation with Claire Cardie
Cardie, Claire; Constable, Robert L.. - : Internet-First University Press, 2015
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20
Computational Linguistic Models Of Deceptive Opinion Spam
Ott, Myle. - 2013
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