Yoshiki Niwa


2017

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bunji at SemEval-2017 Task 3: Combination of Neural Similarity Features and Comment Plausibility Features
Yuta Koreeda | Takuya Hashito | Yoshiki Niwa | Misa Sato | Toshihiko Yanase | Kenzo Kurotsuchi | Kohsuke Yanai
Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)

This paper describes a text-ranking system developed by bunji team in SemEval-2017 Task 3: Community Question Answering, Subtask A and C. The goal of the task is to re-rank the comments in a question-and-answer forum such that useful comments for answering the question are ranked high. We proposed a method that combines neural similarity features and hand-crafted comment plausibility features, and we modeled inter-comments relationship using conditional random field. Our approach obtained the fifth place in the Subtask A and the second place in the Subtask C.

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Hitachi at SemEval-2017 Task 12: System for temporal information extraction from clinical notes
Sarath P R | Manikandan R | Yoshiki Niwa
Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)

This paper describes the system developed for the task of temporal information extraction from clinical narratives in the context of the 2017 Clinical TempEval challenge. Clinical TempEval 2017 addressed the problem of temporal reasoning in the clinical domain by providing annotated clinical notes, pathology and radiology reports in line with Clinical TempEval challenges 2015/16, across two different evaluation phases focusing on cross domain adaptation. Our team focused on subtasks involving extractions of temporal spans and relations for which the developed systems showed average F-score of 0.45 and 0.47 across the two phases of evaluations.

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StruAP: A Tool for Bundling Linguistic Trees through Structure-based Abstract Pattern
Kohsuke Yanai | Misa Sato | Toshihiko Yanase | Kenzo Kurotsuchi | Yuta Koreeda | Yoshiki Niwa
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing: System Demonstrations

We present a tool for developing tree structure patterns that makes it easy to define the relations among textual phrases and create a search index for these newly defined relations. By using the proposed tool, users develop tree structure patterns through abstracting syntax trees. The tool features (1) intuitive pattern syntax, (2) unique functions such as recursive call of patterns and use of lexicon dictionaries, and (3) whole workflow support for relation development and validation. We report the current implementation of the tool and its effectiveness.

2016

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Neural Attention Model for Classification of Sentences that Support Promoting/Suppressing Relationship
Yuta Koreeda | Toshihiko Yanase | Kohsuke Yanai | Misa Sato | Yoshiki Niwa
Proceedings of the Third Workshop on Argument Mining (ArgMining2016)

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bunji at SemEval-2016 Task 5: Neural and Syntactic Models of Entity-Attribute Relationship for Aspect-based Sentiment Analysis
Toshihiko Yanase | Kohsuke Yanai | Misa Sato | Toshinori Miyoshi | Yoshiki Niwa
Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)

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Hitachi at SemEval-2016 Task 12: A Hybrid Approach for Temporal Information Extraction from Clinical Notes
Sarath P R | Manikandan R | Yoshiki Niwa
Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)

2015

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End-to-end Argument Generation System in Debating
Misa Sato | Kohsuke Yanai | Toshinori Miyoshi | Toshihiko Yanase | Makoto Iwayama | Qinghua Sun | Yoshiki Niwa
Proceedings of ACL-IJCNLP 2015 System Demonstrations

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Learning Sentence Ordering for Opinion Generation of Debate
Toshihiko Yanase | Toshinori Miyoshi | Kohsuke Yanai | Misa Sato | Makoto Iwayama | Yoshiki Niwa | Paul Reisert | Kentaro Inui
Proceedings of the 2nd Workshop on Argumentation Mining

2013

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A Comparison of Rule-Based and Machine Learning Methods for Medical Information Extraction
Osamu Imaichi | Toshihiko Yanase | Yoshiki Niwa
The First Workshop on Natural Language Processing for Medical and Healthcare Fields

2002

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A Measure of Term Representativeness Based on the Number of Co-occurring Salient Words
Toru Hisamitsu | Yoshiki Niwa
COLING 2002: The 19th International Conference on Computational Linguistics

2000

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A Method of Measuring Term Representativeness - Baseline Method Using Co-occurrence Distribution
Tom Hisamitsu | Yoshiki Niwa | Jun-ichi Tsujii
COLING 2000 Volume 1: The 18th International Conference on Computational Linguistics

1994

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Co-Occurrence Vectors From Corpora vs. Distance Vectors From Dictionaries
Yoshiki Niwa | Yoshihiko Nitta
COLING 1994 Volume 1: The 15th International Conference on Computational Linguistics