Takuya Matsuzaki


2017

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Automated Historical Fact-Checking by Passage Retrieval, Word Statistics, and Virtual Question-Answering
Mio Kobayashi | Ai Ishii | Chikara Hoshino | Hiroshi Miyashita | Takuya Matsuzaki
Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

This paper presents a hybrid approach to the verification of statements about historical facts. The test data was collected from the world history examinations in a standardized achievement test for high school students. The data includes various kinds of false statements that were carefully written so as to deceive the students while they can be disproven on the basis of the teaching materials. Our system predicts the truth or falsehood of a statement based on text search, word cooccurrence statistics, factoid-style question answering, and temporal relation recognition. These features contribute to the judgement complementarily and achieved the state-of-the-art accuracy.

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Coreference Resolution on Math Problem Text in Japanese
Takumi Ito | Takuya Matsuzaki | Satoshi Sato
Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers)

This paper describes a coreference resolution system for math problem text. Case frame dictionaries and a math taxonomy are utilized for supplying domain knowledge. The system deals with various anaphoric phenomena beyond well-studied entity coreferences.

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Semantic Parsing of Pre-university Math Problems
Takuya Matsuzaki | Takumi Ito | Hidenao Iwane | Hirokazu Anai | Noriko H. Arai
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

We have been developing an end-to-end math problem solving system that accepts natural language input. The current paper focuses on how we analyze the problem sentences to produce logical forms. We chose a hybrid approach combining a shallow syntactic analyzer and a manually-developed lexicalized grammar. A feature of the grammar is that it is extensively typed on the basis of a formal ontology for pre-university math. These types are helpful in semantic disambiguation inside and across sentences. Experimental results show that the hybrid system produces a well-formed logical form with 88% precision and 56% recall.

2016

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Translation Errors and Incomprehensibility: a Case Study using Machine-Translated Second Language Proficiency Tests
Takuya Matsuzaki | Akira Fujita | Naoya Todo | Noriko H. Arai
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)

This paper reports on an experiment where 795 human participants answered to the questions taken from second language proficiency tests that were translated to their native language. The output of three machine translation systems and two different human translations were used as the test material. We classified the translation errors in the questions according to an error taxonomy and analyzed the participants’ response on the basis of the type and frequency of the translation errors. Through the analysis, we identified several types of errors that deteriorated most the accuracy of the participants’ answers, their confidence on the answers, and their overall evaluation of the translation quality.

2015

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Evaluating Machine Translation Systems with Second Language Proficiency Tests
Takuya Matsuzaki | Akira Fujita | Naoya Todo | Noriko H. Arai
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)

2014

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Efficient Logical Inference for Semantic Processing
Ran Tian | Yusuke Miyao | Takuya Matsuzaki
Proceedings of the ACL 2014 Workshop on Semantic Parsing

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Logical Inference on Dependency-based Compositional Semantics
Ran Tian | Yusuke Miyao | Takuya Matsuzaki
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

2013

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The Complexity of Math Problems – Linguistic, or Computational?
Takuya Matsuzaki | Hidenao Iwane | Hirokazu Anai | Noriko Arai
Proceedings of the Sixth International Joint Conference on Natural Language Processing

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Integrating Multiple Dependency Corpora for Inducing Wide-coverage Japanese CCG Resources
Sumire Uematsu | Takuya Matsuzaki | Hiroki Hanaoka | Yusuke Miyao | Hideki Mima
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

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Deep Context-Free Grammar for Chinese with Broad-Coverage
Xiangli Wang | Yi Zhang | Yusuke Miyao | Takuya Matsuzaki | Junichi Tsujii
Proceedings of the Seventh SIGHAN Workshop on Chinese Language Processing

2012

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Coordination Structure Analysis using Dual Decomposition
Atsushi Hanamoto | Takuya Matsuzaki | Jun’ichi Tsujii
Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics

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Incremental Joint Approach to Word Segmentation, POS Tagging, and Dependency Parsing in Chinese
Jun Hatori | Takuya Matsuzaki | Yusuke Miyao | Jun’ichi Tsujii
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

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Akamon: An Open Source Toolkit for Tree/Forest-Based Statistical Machine Translation
Xianchao Wu | Takuya Matsuzaki | Jun’ichi Tsujii
Proceedings of the ACL 2012 System Demonstrations

2011

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A Collaborative Annotation between Human Annotators and a Statistical Parser
Shun’ya Iwasawa | Hiroki Hanaoka | Takuya Matsuzaki | Yusuke Miyao | Jun’ichi Tsujii
Proceedings of the 5th Linguistic Annotation Workshop

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Learning the Optimal Use of Dependency-parsing Information for Finding Translations with Comparable Corpora
Daniel Andrade | Takuya Matsuzaki | Jun’ichi Tsujii
Proceedings of the 4th Workshop on Building and Using Comparable Corpora: Comparable Corpora and the Web

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Analysis of the Difficulties in Chinese Deep Parsing
Kun Yu | Yusuke Miyao | Takuya Matsuzaki | Xiangli Wang | Junichi Tsujii
Proceedings of the 12th International Conference on Parsing Technologies

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Exploring Difficulties in Parsing Imperatives and Questions
Tadayoshi Hara | Takuya Matsuzaki | Yusuke Miyao | Jun’ichi Tsujii
Proceedings of 5th International Joint Conference on Natural Language Processing

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Incremental Joint POS Tagging and Dependency Parsing in Chinese
Jun Hatori | Takuya Matsuzaki | Yusuke Miyao | Jun’ichi Tsujii
Proceedings of 5th International Joint Conference on Natural Language Processing

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Effective Use of Function Words for Rule Generalization in Forest-Based Translation
Xianchao Wu | Takuya Matsuzaki | Jun’ichi Tsujii
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies

2010

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Forest-guided Supertagger Training
Yao-zhong Zhang | Takuya Matsuzaki | Jun’ichi Tsujii
Proceedings of the 23rd International Conference on Computational Linguistics (Coling 2010)

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Semi-automatically Developing Chinese HPSG Grammar from the Penn Chinese Treebank for Deep Parsing
Kun Yu | Yusuke Miyao | Xiangli Wang | Takuya Matsuzaki | Junichi Tsujii
Coling 2010: Posters

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A Simple Approach for HPSG Supertagging Using Dependency Information
Yao-zhong Zhang | Takuya Matsuzaki | Jun’ichi Tsujii
Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics

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Fine-Grained Tree-to-String Translation Rule Extraction
Xianchao Wu | Takuya Matsuzaki | Jun’ichi Tsujii
Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics

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The Deep Re-Annotation in a Chinese Scientific Treebank
Kun Yu | Xiangli Wang | Yusuke Miyao | Takuya Matsuzaki | Junichi Tsujii
Proceedings of the Fourth Linguistic Annotation Workshop

2009

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Deterministic Shift-Reduce Parsing for Unification-Based Grammars by Using Default Unification
Takashi Ninomiya | Takuya Matsuzaki | Nobuyuki Shimizu | Hiroshi Nakagawa
Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009)

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The UOT system
Xianchao Wu | Takuya Matsuzaki | Naoaki Okazaki | Yusuke Miyao | Jun’ichi Tsujii
Proceedings of the 6th International Workshop on Spoken Language Translation: Evaluation Campaign

We present the UOT Machine Translation System that was used in the IWSLT-09 evaluation campaign. This year, we participated in the BTEC track for Chinese-to-English translation. Our system is based on a string-to-tree framework. To integrate deep syntactic information, we propose the use of parse trees and semantic dependencies on English sentences described respectively by Head-driven Phrase Structure Grammar and Predicate-Argument Structures. We report the results of our system on both the development and test sets.

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A Discriminative Latent Variable Chinese Segmenter with Hybrid Word/Character Information
Xu Sun | Yaozhong Zhang | Takuya Matsuzaki | Yoshimasa Tsuruoka | Jun’ichi Tsujii
Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics

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HPSG Supertagging: A Sequence Labeling View
Yao-zhong Zhang | Takuya Matsuzaki | Jun’ichi Tsujii
Proceedings of the 11th International Conference on Parsing Technologies (IWPT’09)

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Design of Chinese HPSG Framework for Data-Driven Parsing
Xiangli Wang | Shunya Iwasawa | Yusuke Miyao | Takuya Matsuzaki | Kun Yu | Jun’ichi Tsujii
Proceedings of the 23rd Pacific Asia Conference on Language, Information and Computation, Volume 2

2008

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Task-oriented Evaluation of Syntactic Parsers and Their Representations
Yusuke Miyao | Rune Sætre | Kenji Sagae | Takuya Matsuzaki | Jun’ichi Tsujii
Proceedings of ACL-08: HLT

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Comparative Parser Performance Analysis across Grammar Frameworks through Automatic Tree Conversion using Synchronous Grammars
Takuya Matsuzaki | Jun’ichi Tsujii
Proceedings of the 22nd International Conference on Computational Linguistics (Coling 2008)

2007

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A log-linear model with an n-gram reference distribution for accurate HPSG parsing
Takashi Ninomiya | Takuya Matsuzaki | Yusuke Miyao | Jun’ichi Tsujii
Proceedings of the Tenth International Conference on Parsing Technologies

2006

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Extremely Lexicalized Models for Accurate and Fast HPSG Parsing
Takashi Ninomiya | Takuya Matsuzaki | Yoshimasa Tsuruoka | Yusuke Miyao | Jun’ichi Tsujii
Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing

2005

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Probabilistic CFG with Latent Annotations
Takuya Matsuzaki | Yusuke Miyao | Jun’ichi Tsujii
Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics (ACL’05)

2003

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An efficient clustering algorithm for class-based language models
Takuya Matsuzaki | Yusuke Miyao | Jun’ichi Tsujii
Proceedings of the Seventh Conference on Natural Language Learning at HLT-NAACL 2003