Tetsuji Nakagawa - researchr alias

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Viewing Publication 1 - 23 from 23

2023

LEALLA: Learning Lightweight Language-agnostic Sentence Embeddings with Knowledge DistillationZhuoyuan Mao, Tetsuji Nakagawa. eacl 2023: 1878-1886 [doi]

2018

Denoising Neural Machine Translation Training with Trusted Data and Online Data SelectionWei Wang, Taro Watanabe, Macduff Hughes, Tetsuji Nakagawa, Ciprian Chelba. wmt 2018: 133-143 [doi]

2017

An Empirical Study of Language Relatedness for Transfer Learning in Neural Machine TranslationRaj Dabre, Tetsuji Nakagawa, Hideto Kazawa. paclic 2017: 282-286 [doi]

2016

Phrase-based Machine Translation using Multiple Preordering CandidatesYusuke Oda, Taku Kudo, Tetsuji Nakagawa, Taro Watanabe. COLING 2016: 1419-1428 [doi]

2015

Efficient Top-Down BTG Parsing for Machine Translation PreorderingTetsuji Nakagawa. acl 2015: 208-218 [doi]

2010

Organizing information on the Web to support user judgments on information credibilitySusumu Akamine, Daisuke Kawahara, Yoshikiyo Kato, Tetsuji Nakagawa, Yutaka I. Leon-Suematsu, Takuya Kawada, Kentaro Inui, Sadao Kurohashi, Yutaka Kidawara. iucs 2010: 123-130 [doi]

WISDOM: A web information analysis systemYoshikiyo Kato, Susumu Akamine, Daisuke Kawahara, Tetsuji Nakagawa, Yutaka I. Leon-Suematsu, Takuya Kawada, Kentaro Inui, Sadao Kurohashi, Yutaka Kidawara. iucs 2010: 406 [doi]

Dependency Parsing Using Global FeaturesTetsuji Nakagawa. In Harry Bunt, Paola Merlo, Joakim Nivre, editors, Trends in Parsing Technology, Dependency Parsing, Domain Adaptation, and Deep Parsing. pages 69-86, Springer, 2010. [doi]

Dependency Tree-based Sentiment Classification using CRFs with Hidden VariablesTetsuji Nakagawa, Kentaro Inui, Sadao Kurohashi. naacl 2009: 786-794 [doi]

2009

2008

Information Credibility Analysis of Web ContentsSadao Kurohashi, Susumu Akamine, Daisuke Kawahara, Yoshikiyo Kato, Tetsuji Nakagawa, Kentaro Inui, Yutaka Kidawara. iucs 2008: 146-153 [doi]

Extracting Subjective and Objective Evaluative Expressions from the WebTetsuji Nakagawa, Takuya Kawada, Kentaro Inui, Sadao Kurohashi. iucs 2008: 251-258 [doi]

2007

A Hybrid Approach to Word Segmentation and POS TaggingTetsuji Nakagawa, Kiyotaka Uchimoto. acl 2007: [doi]

Multilingual Dependency Parsing Using Global FeaturesTetsuji Nakagawa. emnlp 2007: 952-956 [doi]

2006

Guessing Parts-of-Speech of Unknown Words Using Global InformationTetsuji Nakagawa, Yuji Matsumoto. acl 2006: [doi]

2005

NTCIR-5 CLIR Experiments at OkiTetsuji Nakagawa. ntcir 2005: [doi]

2004

Chinese and Japanese Word Segmentation Using Word-Level and Character-Level InformationTetsuji Nakagawa. COLING 2004: [doi]

NTCIR-4 CLIR Experiments at OkiTetsuji Nakagawa, Mihoko Kitamura. ntcir 2005: [doi]

2002

Detecting Errors in Corpora Using Support Vector MachinesTetsuji Nakagawa, Yuji Matsumoto. COLING 2002: [doi]

Revision Learning and its Application to Part-of-Speech TaggingTetsuji Nakagawa, Taku Kudo, Yuji Matsumoto. acl 2002: 497-504 [doi]

2001

Unknown Word Guessing and Part-of-Speech Tagging Using Support Vector MachinesTetsuji Nakagawa, Taku Kudo, Yuji Matsumoto. nlprs 2001: 325-331 [doi]

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