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Papers (including subtopics)

On Faithfulness and Factuality in Abstractive Summarization ACL 2020 On Forgetting to Cite Older Papers: An Analysis of the ACL Anthology ACL 2020 On Identifying Hashtags in Disaster Twitter Data AAAI 2020 On Learning Language-Invariant Representations for Universal Machine Translation ICML 2020 Online Abuse and Human Rights: WOAH Satellite Session at RightsCon 2020 EMNLP 2020 Online Versus Offline NMT Quality: An In-depth Analysis on English-German and German-English COLING 2020 On Long-Tailed Phenomena in Neural Machine Translation EMNLP 2020 On Romanization for Model Transfer Between Scripts in Neural Machine Translation EMNLP 2020 On the Cross-lingual Transferability of Monolingual Representations ACL 2020 On the diminishing return of labeling clinical reports EMNLP 2020 On the Discrepancy between Density Estimation and Sequence Generation EMNLP 2020 On the effectiveness of small, discriminatively pre-trained language representation models for biomedical text mining EMNLP 2020 On the Evaluation of Machine Translation n-best Lists EMNLP 2020 On The Evaluation of Machine Translation Systems Trained With Back-Translation ACL 2020 On-The-Fly Information Retrieval Augmentation for Language Models ACL 2020 On the General Value of Evidence, and Bilingual Scene-Text Visual Question Answering CVPR 2020 On the Generation of Medical Question-Answer Pairs AAAI 2020 On the Hierarchical Information in a Single Contextualised Word Representation (Student Abstract) AAAI 2020 On the Importance of Diversity in Question Generation for QA ACL 2020 On the importance of pre-training data volume for compact language models EMNLP 2020 On the Importance of Word and Sentence Representation Learning in Implicit Discourse Relation Classification IJCAI 2020 On the Inference Calibration of Neural Machine Translation ACL 2020 On the Limitations of Cross-lingual Encoders as Exposed by Reference-Free Machine Translation Evaluation ACL 2020 On the Potential of Lexico-logical Alignments for Semantic Parsing to SQL Queries EMNLP 2020 On the Reliability and Validity of Detecting Approval of Political Actors in Tweets EMNLP 2020