Kiyonori Ohtake


2016

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WISDOM X, DISAANA and D-SUMM: Large-scale NLP Systems for Analyzing Textual Big Data
Junta Mizuno | Masahiro Tanaka | Kiyonori Ohtake | Jong-Hoon Oh | Julien Kloetzer | Chikara Hashimoto | Kentaro Torisawa
Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations

We demonstrate our large-scale NLP systems: WISDOM X, DISAANA, and D-SUMM. WISDOM X provides numerous possible answers including unpredictable ones to widely diverse natural language questions to provide deep insights about a broad range of issues. DISAANA and D-SUMM enable us to assess the damage caused by large-scale disasters in real time using Twitter as an information source.

2015

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Recognizing Complex Negation on Twitter
Junta Mizuno | Canasai Kruengkrai | Kiyonori Ohtake | Chikara Hashimoto | Kentaro Torisawa | Julien Kloetzer | Kentaro Inui
Proceedings of the 29th Pacific Asia Conference on Language, Information and Computation

2013

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Two-Stage Method for Large-Scale Acquisition of Contradiction Pattern Pairs using Entailment
Julien Kloetzer | Stijn De Saeger | Kentaro Torisawa | Chikara Hashimoto | Jong-Hoon Oh | Motoki Sano | Kiyonori Ohtake
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing

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NICT Disaster Information Analysis System
Kiyonori Ohtake | Jun Goto | Stijn De Saeger | Kentaro Torisawa | Junta Mizuno | Kentaro Inui
The Companion Volume of the Proceedings of IJCNLP 2013: System Demonstrations

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WISDOM2013: A Large-scale Web Information Analysis System
Masahiro Tanaka | Stijn De Saeger | Kiyonori Ohtake | Chikara Hashimoto | Makoto Hijiya | Hideaki Fujii | Kentaro Torisawa
The Companion Volume of the Proceedings of IJCNLP 2013: System Demonstrations

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Aid is Out There: Looking for Help from Tweets during a Large Scale Disaster
István Varga | Motoki Sano | Kentaro Torisawa | Chikara Hashimoto | Kiyonori Ohtake | Takao Kawai | Jong-Hoon Oh | Stijn De Saeger
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

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Why-Question Answering using Intra- and Inter-Sentential Causal Relations
Jong-Hoon Oh | Kentaro Torisawa | Chikara Hashimoto | Motoki Sano | Stijn De Saeger | Kiyonori Ohtake
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

2011

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Similarity Based Language Model Construction for Voice Activated Open-Domain Question Answering
István Varga | Kiyonori Ohtake | Kentaro Torisawa | Stijn De Saeger | Teruhisa Misu | Shigeki Matsuda | Jun’ichi Kazama
Proceedings of 5th International Joint Conference on Natural Language Processing

2010

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Modeling Spoken Decision Making Dialogue and Optimization of its Dialogue Strategy
Teruhisa Misu | Komei Sugiura | Kiyonori Ohtake | Chiori Hori | Hideki Kashioka | Hisashi Kawai | Satoshi Nakamura
Proceedings of the SIGDIAL 2010 Conference

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Dialogue Acts Annotation for NICT Kyoto Tour Dialogue Corpus to Construct Statistical Dialogue Systems
Kiyonori Ohtake | Teruhisa Misu | Chiori Hori | Hideki Kashioka | Satoshi Nakamura
Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)

This paper introduces a new corpus of consulting dialogues designed for training a dialogue manager that can handle consulting dialogues through spontaneous interactions from the tagged dialogue corpus. We have collected more than 150 hours of consulting dialogues in the tourist guidance domain. We are developing the corpus that consists of speech, transcripts, speech act (SA) tags, morphological analysis results, dependency analysis results, and semantic content tags. This paper outlines our taxonomy of dialogue act (DA) annotation that can describe two aspects of an utterance: the communicative function (SA), and the semantic content of the utterance. We provide an overview of the Kyoto tour dialogue corpus and a preliminary analysis using the DA tags. We also show a result of a preliminary experiment for SA tagging via Support Vector Machines (SVMs). We introduce the current states of the corpus development In addition, we mention the usage of our corpus for the spoken dialogue system that is being developed.

2009

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Annotating Dialogue Acts to Construct Dialogue Systems for Consulting
Kiyonori Ohtake | Teruhisa Misu | Chiori Hori | Hideki Kashioka | Satoshi Nakamura
Proceedings of the 7th Workshop on Asian Language Resources (ALR7)

2008

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Unsupervised Approach for Dialogue Act Classification
Kiyonori Ohtake
Proceedings of the 22nd Pacific Asia Conference on Language, Information and Computation

2006

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Analysis of Selective Strategies to Build a Dependency-Analyzed Corpus
Kiyonori Ohtake
Proceedings of the COLING/ACL 2006 Main Conference Poster Sessions

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