Kazuhide Yamamoto


2018

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Crowdsourced Corpus of Sentence Simplification with Core Vocabulary
Akihiro Katsuta | Kazuhide Yamamoto
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)

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Simplified Corpus with Core Vocabulary
Takumi Maruyama | Kazuhide Yamamoto
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)

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Lexical Substitution is Practical for Rare Word Simplification
Takumi Maruyama | Kazuhide Yamamoto
Proceedings of the 32nd Pacific Asia Conference on Language, Information and Computation

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Dataset Construction Method for Word Reading Disambiguation
Koki Nishiyama | Kazuhide Yamamoto | Hideharu Nakajima
Proceedings of the 32nd Pacific Asia Conference on Language, Information and Computation

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VietSentiLex: a sentiment dictionary that considers the polarity of ambiguous sentiment words
Huynh Quoc Viet Vo | Kazuhide Yamamoto
Proceedings of the 32nd Pacific Asia Conference on Language, Information and Computation

2017

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Controlling Target Features in Neural Machine Translation via Prefix Constraints
Shunsuke Takeno | Masaaki Nagata | Kazuhide Yamamoto
Proceedings of the 4th Workshop on Asian Translation (WAT2017)

We propose prefix constraints, a novel method to enforce constraints on target sentences in neural machine translation. It places a sequence of special tokens at the beginning of target sentence (target prefix), while side constraints places a special token at the end of source sentence (source suffix). Prefix constraints can be predicted from source sentence jointly with target sentence, while side constraints (Sennrich et al., 2016) must be provided by the user or predicted by some other methods. In both methods, special tokens are designed to encode arbitrary features on target-side or metatextual information. We show that prefix constraints are more flexible than side constraints and can be used to control the behavior of neural machine translation, in terms of output length, bidirectional decoding, domain adaptation, and unaligned target word generation.

2016

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Integrating empty category detection into preordering Machine Translation
Shunsuke Takeno | Masaaki Nagata | Kazuhide Yamamoto
Proceedings of the 3rd Workshop on Asian Translation (WAT2016)

We propose a method for integrating Japanese empty category detection into the preordering process of Japanese-to-English statistical machine translation. First, we apply machine-learning-based empty category detection to estimate the position and the type of empty categories in the constituent tree of the source sentence. Then, we apply discriminative preordering to the augmented constituent tree in which empty categories are treated as if they are normal lexical symbols. We find that it is effective to filter empty categories based on the confidence of estimation. Our experiments show that, for the IWSLT dataset consisting of short travel conversations, the insertion of empty categories alone improves the BLEU score from 33.2 to 34.3 and the RIBES score from 76.3 to 78.7, which imply that reordering has improved For the KFTT dataset consisting of Wikipedia sentences, the proposed preordering method considering empty categories improves the BLEU score from 19.9 to 20.2 and the RIBES score from 66.2 to 66.3, which shows both translation and reordering have improved slightly.

2015

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Empty Category Detection using Path Features and Distributed Case Frames
Shunsuke Takeno | Masaaki Nagata | Kazuhide Yamamoto
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing

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Evaluation Dataset and System for Japanese Lexical Simplification
Tomoyuki Kajiwara | Kazuhide Yamamoto
Proceedings of the ACL-IJCNLP 2015 Student Research Workshop

2014

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Noun Paraphrasing Based on a Variety of Contexts
Tomoyuki Kajiwara | Kazuhide Yamamoto
Proceedings of the 28th Pacific Asia Conference on Language, Information and Computing

2013

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Selecting Proper Lexical Paraphrase for Children
Tomoyuki Kajiwara | Hiroshi Matsumoto | Kazuhide Yamamoto
Proceedings of the 25th Conference on Computational Linguistics and Speech Processing (ROCLING 2013)

2010

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Detecting Nasty Comments from BBS Posts
Tatsuya Ishisaka | Kazuhide Yamamoto
Proceedings of the 24th Pacific Asia Conference on Language, Information and Computation

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Generation of Summaries that Appropriately and Adequately Express the Contents of Original Documents Using Word-Association Knowledge
Kazuki Takigawa | Masaki Murata | Masaaki Tsuchida | Stijn De Saeger | Kazuhide Yamamoto | Kentaro Torisawa
Proceedings of the 24th Pacific Asia Conference on Language, Information and Computation

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Using Goi-Taikei as an Upper Ontology to Build a Large-Scale Japanese Ontology from Wikipedia
Masaaki Nagata | Yumi Shibaki | Kazuhide Yamamoto
Proceedings of the 6th Workshop on Ontologies and Lexical Resources

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Textual Entailmaint Recognition using Word Overlap, Mutual Information and Subpath Set
Yuki Muramatsu | Kunihiro Uduka | Kazuhide Yamamoto
Proceedings of the 2nd Workshop on Cognitive Aspects of the Lexicon

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Constructing Large-Scale Person Ontology from Wikipedia
Yumi Shibaki | Masaaki Nagata | Kazuhide Yamamoto
Proceedings of the 2nd Workshop on The People’s Web Meets NLP: Collaboratively Constructed Semantic Resources

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Even Unassociated Features Can Improve Lexical Distributional Similarity
Kazuhide Yamamoto | Takeshi Asakura
Proceedings of the Second Workshop on NLP Challenges in the Information Explosion Era (NLPIX 2010)

2008

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Summarization by Analogy: An Example-based Approach for News Articles
Megumi Makino | Kazuhide Yamamoto
Proceedings of the Third International Joint Conference on Natural Language Processing: Volume-II

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Generating Story Reviews Using Phrases Expressing Emotion
Hiroshi Ota | Kazuhide Yamamoto
Proceedings of the 22nd Pacific Asia Conference on Language, Information and Computation

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Extracting Troubles from Daily Reports based on Syntactic Pieces
Yoshifumi Kakimoto | Kazuhide Yamamoto
Proceedings of the 22nd Pacific Asia Conference on Language, Information and Computation

2007

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Opinion Extraction based on Syntactic Pieces
Suguru Aoki | Kazuhide Yamamoto
Proceedings of the 21st Pacific Asia Conference on Language, Information and Computation

2006

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A Clustered Global Phrase Reordering Model for Statistical Machine Translation
Masaaki Nagata | Kuniko Saito | Kazuhide Yamamoto | Kazuteru Ohashi
Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics

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Using Phrasal Patterns to Identify Discourse Relations
Manami Saito | Kazuhide Yamamoto | Satoshi Sekine
Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers

2005

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A System to Solve Language Tests for Second Grade Students
Manami Saito | Kazuhide Yamamoto | Satoshi Sekine | Hitoshi Isahara
Companion Volume to the Proceedings of Conference including Posters/Demos and tutorial abstracts

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Transforming a Sentence End into News Headline Style
Satoshi Ikeda | Kazuhide Yamamoto
Proceedings of the Third International Workshop on Paraphrasing (IWP2005)

2004

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Detecting Transliterated Orthographic Variants via Two Similarity Metrics
Kiyonori Ohtake | Youichi Sekiguchi | Kazuhide Yamamoto
COLING 2004: Proceedings of the 20th International Conference on Computational Linguistics

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A Comparison of Two Variant Corpora: The Same Content with Different Source
Kyonghee Paik | Kiyonori Ohtake | Kazuhide Yamamoto
Proceedings of the Fourth International Conference on Language Resources and Evaluation (LREC’04)

In order to investigate the effect of source language on translations, we investigate two variants of a Korean translation corpus. The first variant consists of Korean translations of 162,308 Japanese sentences from the ATR BTEC (Basic Expression Text Corpus). The second variant was made by translating the English translations of the Japanese sentences into Korean. We show that the source language text has a large influence on the target text. Even after normalizing orthographic differences, fewer than 8.3\% of the sentences in the two variants were identical. We describe in general which phenomena differ and then discuss how our analysis can be used in natural language processing.

2003

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Applicability Analysis of Corpus-derived Paraphrases toward Example-based Paraphrasing
Kiyonori Ohtake | Kazuhide Yamamoto
Proceedings of the 17th Pacific Asia Conference on Language, Information and Computation

2002

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Acquisition of Lexical Paraphrases from Texts
Kazuhide Yamamoto
COLING-02: COMPUTERM 2002: Second International Workshop on Computational Terminology

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Towards a Thesaurus of Predicates
Satoshi Shirai | Kazuhide Yamamoto | Francis Bond | Hozumi Tanaka
Proceedings of the Third International Conference on Language Resources and Evaluation (LREC’02)

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Paraphrasing of Chinese Utterances
Yujie Zhang | Kazuhide Yamamoto
COLING 2002: The 19th International Conference on Computational Linguistics

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Machine Translation by Interaction between Paraphraser and Transfer
Kazuhide Yamamoto
COLING 2002: The 19th International Conference on Computational Linguistics

1999

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Corpus-Based Anaphora Resolution Towards Antecedent Preference
Michael Paul | Kazuhide Yamamoto | Eiichiro Sumita
Coreference and Its Applications

1998

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Splitting Long or Ill-formed Input for Robust Spoken-language Translation
Osamu Furuse | Setsuo Yamada | Kazuhide Yamamoto
COLING 1998 Volume 1: The 17th International Conference on Computational Linguistics

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Feasibility Study for Ellipsis Resolution in Dialogues by Machine-Learning Technique
Kazuhide Yamamoto | Eiichiro Sumita
COLING 1998 Volume 2: The 17th International Conference on Computational Linguistics

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Splitting Long or Ill-formed Input for Robust Spoken-language Translation
Osamu Furuse | Setsuo Yamada | Kazuhide Yamamoto
36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics, Volume 1

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Feasibility Study for Ellipsis Resolution in Dialogues by Machine-Learning Technique
Kazuhide Yamamoto | Eiichiro Sumita
36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics, Volume 2