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Distinguishing Japanese Non-standard Usages from Standard Ones.

, , , and . EMNLP, page 2323-2328. Association for Computational Linguistics, (2017)

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Toward Text Understanding: Integrating Relevance-tagged Corpus and Automatically Constructed Case Frames., , and . LREC, European Language Resources Association, (2004)Annotation Guidelines for Medication Errors in Incident Reports: Validation Through a Mixed Methods Approach., , , , , and . MedInfo, volume 290 of Studies in Health Technology and Informatics, page 354-358. IOS Press, (2021)The Effect of Corpus Size on Case Frame Acquisition for Discourse Analysis., , and . HLT-NAACL, page 521-529. The Association for Computational Linguistics, (2009)Context-Dependent Automatic Response Generation Using Statistical Machine Translation Techniques., , , and . HLT-NAACL, page 1345-1350. The Association for Computational Linguistics, (2015)DefSent: Sentence Embeddings using Definition Sentences., , and . ACL/IJCNLP (2), page 411-418. Association for Computational Linguistics, (2021)Realistic Citation Count Prediction Task for Newly Published Papers., , and . EACL (Findings), page 1101-1111. Association for Computational Linguistics, (2023)Generating Ä for Alpha" When There Are Thousands of Characters., , , and . COLING, page 1411-1424. Indian Institute of Technology Bombay, (2012)Context Representation with Word Embeddings for WSD., , , and . PACLING, volume 593 of Communications in Computer and Information Science, page 108-119. Springer, (2015)A Probabilistic Model for Associative Anaphora Resolution., and . EMNLP, page 1455-1464. ACL, (2009)To Drop or Not to Drop? Predicting Argument Ellipsis Judgments: A Case Study in Japanese., , , , and . LREC/COLING, page 16198-16210. ELRA and ICCL, (2024)