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PheMT: A Phenomenon-wise Dataset for Machine Translation Robustness on User-Generated Contents.

, , , , , , and . COLING, page 5929-5943. International Committee on Computational Linguistics, (2020)

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Topic relatedness in evaluative information extraction., , , and . IUCS, volume 398 of ACM International Conference Proceeding Series, page 120-125. ACM, (2009)Learning Co-Substructures by Kernel Dependence Maximization., , , , and . IJCAI, page 3329-3335. ijcai.org, (2017)Mining False Information on Twitter for a Major Disaster Situation., , , and . AMT, volume 8610 of Lecture Notes in Computer Science, page 96-109. Springer, (2014)What Kinds and Amounts of Causal Knowledge Can Be Acquired from Text by Using Connective Markers as Clues?, , and . Discovery Science, volume 2843 of Lecture Notes in Computer Science, page 180-193. Springer, (2003)Editor's Message to Special Issue on Student and Young Researcher Papers.. J. Inf. Process., 24 (2): 265 (2016)Feed-Forward Blocks Control Contextualization in Masked Language Models., , , and . CoRR, (2023)A Computational Approach for Generating Toulmin Model Argumentation., , , and . ArgMining@HLT-NAACL, page 45-55. The Association for Computational Linguistics, (2015)A Melody-Conditioned Lyrics Language Model., , , , , and . NAACL-HLT, page 163-172. Association for Computational Linguistics, (2018)Cross-Corpora Evaluation and Analysis of Grammatical Error Correction Models - Is Single-Corpus Evaluation Enough?, , , , and . NAACL-HLT (1), page 1309-1314. Association for Computational Linguistics, (2019)Handling Multiword Expressions in Causality Estimation., , , , and . IWCS(2), The Association for Computer Linguistics, (2017)