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- ¸À¸ì½èÍý³Ø²ñÊÔ.
¸À¸ì½èÍý³Ø»öŵ¡Ê¡Ö3.5.3. ɾȽʬÀÏ¡×ôÅö¡Ë
¶¦Î©½ÐÈÇ, 913ÊÇ, ISBN:978-4-320-12238-3, 2009.
[½ñÀÒ¾ðÊó],
- ÂçÄÍ͵»Ò, ´¥¹§»Ê, ±ü¼³Ø.
°Õ¸«Ê¬ÀÏ¥¨¥ó¥¸¥ó -·×»»¸À¸ì³Ø¤È¼Ò²ñ³Ø¤ÎÀÜÅÀ-
¥³¥í¥Ê¼Ò, 232ÊÇ, ISBN:978-4-339-02423-4, 2007.
[½ñÀÒ¾ðÊó],
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- Æ£°æÆØ¡¤´¥¹§»Ê.
¥ì¥Ó¥å¡¼²òÀÏ -¸í¤êʬÀϤˤª¤±¤ë¥×¥í¥»¥¹¤È¥×¥í¥À¥¯¥È-
¾ðÊó½èÍý³Ø²ñ»ï¡Ö¾ðÊó½èÍý¡×, Vol.57, No.1, pp.30--31, 2015.
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- ´¥¹§»Ê¡Ê´ë²è¡¦ÊÔ½¸¤òôÅö¡Ë.
ÉÔ¼«Á³¸À¸ì½èÍý -ÏȤ˼ý¤Þ¤é¤Ê¤¤¡Ö¥ê¥¢¥ë¤Ê¡×¸À¸ì½èÍý-
¾ðÊó½èÍý³Ø²ñ»ï¡Ö¾ðÊó½èÍý¡×, Vol.53, No.3, pp.202--248, 2012.
[PDF file]
- ´¥¹§»Ê, ±ü¼³Ø.
¥Æ¥¥¹¥Èɾ²ÁʬÀϤε»½Ñ¤È¤½¤Î±þÍÑ
¾ðÊó½èÍý³Ø²ñ»ï¡Ö¾ðÊó½èÍý¡×, Vol.48, No.9, pp.995--1000, 2007.
[PDF file]
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- »³ ½¡°ì, ´¥ ¹§»Ê.
ʸ½ñ¥¸¥ª¥í¥±¡¼¥·¥ç¥ó²ÝÂê¤Ë¤ª¤±¤ëÃÏÍýŪÆÃÄêÀ»ØÉ¸¤Î͸úÀɾ²Á.
¼«Á³¸À¸ì½èÍý, Vol.31, No.4, pp.1665--1690, 2024.
[PDF (J-STAGE)]
- Ê¿ÀîÅß°Ó, ´¥¹§»Ê.
ÃÏÍýŪÃμ±¥°¥é¥Õ¤ò¼è¤ê¹þ¤ó¤À¥Ë¥å¡¼¥é¥ëʸ½ñ¥¸¥ª¥í¥±¡¼¥·¥ç¥ó¥â¥Ç¥ë.
¾ðÊó½èÍý³Ø²ñÏÀʸ»ï, Vol.63, No.12, pp.1870--1883, 2022.
[PDF]
- ²¼±àÎÉÂÀ, ´¥¹§»Ê.
Tweet stream ¤«¤é¤Î¥Ð¡¼¥¹¥È¸¡ÃΤ˴ð¤Ä¤¯ºù¤Î¸«º¢¿äÄê.
´Ñ¸÷¤È¾ðÊó, Vol.17, No.1, pp.39--52, 2021.
[PDF]
- Yingwei Sheng and Takashi Inui.
Joint Embedding of Words and Labels for Sentiment Classification.
International Journal of Asian Language Processing, Vol.31, No.1, 2021.
[PDF]
- ¿·Ç¼¹À¹¬¡¤Â¼ÅÄ¿¿¼ù¡¤Çò°æÀ¶¾¼¡¤Ê¡ËÜʸÂ塤ƣÅÄÁáÉÄ¡¤º´¡¹ÌÚÌ¡¤¸ÅµÜ²ÅÆá»Ò¡¤´¥¹§»Ê.
¥¯¥é¥¹¥¿¥ê¥ó¥°¤òÍøÍѤ·¤¿¸ìµÁÛ£ËæÀ²ò¾Ã¤Î¸í¤ê¸¶°ø¤Î¥¿¥¤¥×ʬ¤±.
¼«Á³¸À¸ì½èÍý, Vol.22, No.5, pp.319--362, 2015.
[PDF (J-STAGE)]
- ³ÑÅŧ¾¼¡¤´¥¹§»Ê¡¤»³ËÜ´´Íº.
ÂФò¤Ê¤¹Æóʸ½ñ´Ö¤Ë¤ª¤±¤ëʸÂбþ´Ø·¸¤Î¿äÄê.
¼«Á³¸À¸ì½èÍý, Vol.22, No.1, pp.27--58, 2015.
[PDF (J-STAGE)]
- ´¥¹§»Ê¡¤Çß߷ͤ²ð¡¤»³ËÜ´´Íº.
ɾ²Áɽ¸½¤Èʸ̮°ì´ÓÀ¤òÍøÍѤ·¤¿¶µ»Õ¥Ç¡¼¥¿¼«Æ°À¸À®¤Ë¤è¤ë¥¯¥ì¡¼¥à¸¡½Ð.
¼«Á³¸À¸ì½èÍý, Vol.20, No.5, pp.683--705, 2013.
[PDF (J-STAGE)]
- µÈÅĸ÷ÃË¡¤´¥¹§»Ê¡¤»³ËÜ´´Íº.
¥Ö¥í¥°¥Ú¡¼¥¸½¸¹ç¤«¤é¤Î¥Ý¥¹¥È¤ª¤è¤Ó¥³¥á¥ó¥È¼«Æ°Ê¬Î¥Ãê½Ð¼êË¡.
¾ðÊó½èÍý³Ø²ñÏÀʸ»ï, Vol.54, No.12, pp.2502--2512, 2013.
- ´¥¹§»Ê, ÈÄëͪ¿Í, »³ËÜ´´Íº, ¿·Î¤·½»Ê, Ê¿¼êͦ±§, »³ÅÄ·°.
°Õ¸«½¸Ìó¤Ë¤ª¤±¤ëÁêÂÐŪÆÃħ¤ò¹Íθ¤·¤¿É¾²Á»ëÅÀ¤Î¹½Â¤²½.
¼«Á³¸À¸ì½èÍý, Vol.20, No.1, pp.3--25, 2013.
[PDF (J-STAGE)]
- ´¥¹§»Ê, ¼¾å¹À»Ê, ¶¶ËÜÂÙ°ì, Æâ³¤ÏÂÉ×, ÀÐÀîÀµÆ».
ÀÜÈø¼¾ðÊó¤òÍøÍѤ·¤¿Ê¸½ñ¤«¤é¤ÎÁÈ¿¥Ì¾Ãê½Ð.
¿Í¹©ÃÎǽ³Ø²ñÏÀʸ»ï, Vol.24, No.6, pp.469--479, 2009.
[PDF (J-STAGE)]
- ¶¶ËÜÂÙ°ì, ¼¾å¹À»Ê, ´¥¹§»Ê, Æâ³¤ÏÂÉ×, ÀÐÀîÀµÆ».
¼Ò²ñ²ÝÂêȯ¸«¤Î¤¿¤á¤Îʸ½ñ¥¯¥é¥¹¥¿¥ê¥ó¥°¤È¥¯¥é¥¹¥¿É¾²Á»ØÉ¸.
¿Í¹©ÃÎǽ³Ø²ñÏÀʸ»ï, Vol.24, No.4, pp.333--338, 2009.
- Æâ³¤ÏÂÉ×, ´¥¹§»Ê, ¶¶ËÜÂÙ°ì, ¼¾å¹À»Ê, ÀÐÀîÀµÆ».
¼Ò²ñ²ÝÂê¤È¤½¤Î²ò·è¤Ë·ë¤Ó¤Ä¤¯²Ê³Øµ»½Ñ¤Ë´Ø¤¹¤ëÍÍÑÃ챤ÎÃê½Ð.
¼Ò²ñµ»½Ñ¸¦µæÏÀʸ½¸, Vol.6, pp.187--198, 2009.
- ¶¶ËÜÂÙ°ì, ¼¾å¹À»Ê, ´¥¹§»Ê, Æâ³¤ÏÂÉ×, ÀÐÀîÀµÆ».
ʸ½ñ¥¯¥é¥¹¥¿¥ê¥ó¥°¤Ë¤è¤ë¥È¥Ô¥Ã¥¯Ãê½Ð¤ª¤è¤Ó²ÝÂêȯ¸«.
¼Ò²ñµ»½Ñ¸¦µæÏÀʸ½¸, Vol.5, pp.216--226, 2008.
- ÌîϤÂÀ°ì, ´¥¹§»Ê, ¹â¼ÂçÌé, ±ü¼³Ø.
¥Æ¥¥¹¥ÈÃæ¤Î¥¤¥Ù¥ó¥È¤ÎÀ¸µ¯»þ´ÖÂÓȽÄê.
¾ðÊó½èÍý³Ø²ñÏÀʸ»ï,Vol.48, No.10, pp.3405--3414, 2007.
- ¹â¼ÂçÌé, ´¥¹§»Ê, ±ü¼³Ø.
±£¤ìÊÑ¿ô¥â¥Ç¥ë¤Ë¤è¤ëÊ£¿ô¸ìɽ¸½¤Î´¶¾ð¶ËÀʬÎà.
¾ðÊó½èÍý³Ø²ñÏÀʸ»ï,Vol.47, No.11, pp.3021--3031, 2006.
- ´¥¹§»Ê, ±ü¼³Ø.
¥Æ¥¥¹¥È¤òÂоݤȤ·¤¿É¾²Á¾ðÊó¤ÎʬÀϤ˴ؤ¹¤ë¸¦µæÆ°¸þ.
¼«Á³¸À¸ì½èÍý, Vol.13, No.3, pp.201--241, 2006.
- ¹â¼ÂçÌé, ´¥¹§»Ê, ±ü¼³Ø.
¥¹¥Ô¥ó¥â¥Ç¥ë¤Ë¤è¤ëñ¸ì¤Î´¶¾ð¶ËÀÃê½Ð.
¾ðÊó½èÍý³Ø²ñÏÀʸ»ï,Vol.47, No.2, pp.627--637, 2006.
- ´¥¹§»Ê, ±ü¼³Ø.
ʸ½ñÆâ¤Ë¸½¤ì¤ë°ø²Ì´Ø·¸¤Î½Ð¸½ÆÃÀÄ´ºº.
·×Î̹ñ¸ì³Ø, Vol.25, No.3, pp.123--144, 2005.
- Takashi Inui, Kentaro Inui and Yuji Matsumoto.
Acquiring Causal Knowledge from Text Using the Connective Marker Tame.
ACM Transactions on Asian Language Information Processing (ACM-TALIP),
Vol.4, Issue 4, Special Issue on Recent Advances in Information Processing and Access for Japanese, pp.435--474, 2005.
- ´¥¹§»Ê, ´¥·òÂÀϺ, ¾¾ËÜ͵¼£.
Àܳɸ¼±¡Ö¤¿¤á¡×¤Ë´ð¤Å¤¯Ê¸½ñ½¸¹ç¤«¤é¤Î°ø²Ì´Ø·¸Ãμ±¤Î¼«Æ°³ÍÆÀ.
¾ðÊó½èÍý³Ø²ñÏÀʸ»ï,Vol.45, No.3, pp.919--933, 2004.
- ´¥¹§»Ê, ´¥·òÂÀϺ.
Ê£¿ô¤Î¥Ñ¡¼¥¶¤òÍøÍѤ·¤¿Åý·×ŪÉôʬ·¸¤ê¼õ¤±²òÀÏ.
¾ðÊó½èÍý³Ø²ñÏÀʸ»ï,Vol.42, No.12, pp.3160--3172, 2001.
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- WeiWen Cao and Takashi Inui.
Decoupling Preference Aggregation and Interest Evolution via Multi-Agent Reasoning for Next POI Recommendation.
IEEE World Congress on Computational Intelligence (WCCI) - the International Joint Conference on Neural Networks (IJCNN), pp.???--???, 2026.
[PDF file]
[slide]
- Takeru Mitsumori and Takashi Inui.
Entity Linking for Geographical Mentions Using Address Hierarchy.
The 9th International Conference on Natural Language Processing and Information Retrieval, pp.???--???, 2025.
[PDF file]
[slide]
- Yuya Yamamoto and Takashi Inui.
Utilizing Geographic Entity Information for PLM-based Document Geolocation Models.
The 38th Pacific Asia Conference on Language, Information and Computation, pp.277-286, 2024.
[PDF file]
[slide]
- Tomoki Okugawa and Takashi Inui.
Utilizing Word Embedding Representations in Word Sense Analysis of Japanese Spelling Variants.
The 27th International Conference on Asian Language Processing, pp.80-83, 2023.
[PDF file].
- Takuya Komada and Takashi Inui.
An Element-wise Visual-enhanced BiLSTM-CRF Model for Location Name Recognition.
The 3rd International Workshop on Spatial Language Understanding, pp.1-9, 2020.
[PDF file],
[slide]
- Yingwei Sheng and Takashi Inui.
Joint Embedding of Words and Labels for Sentiment Classification.
The 24th International Conference on Asian Language Processing, pp.264-269, 2020.
[PDF file]
- Masakatsu Hamashita, Takashi Inui, Koji Murakami and Keiji Shinzato.
ILP-based Opinion Sentence Extraction from User Reviews for Question DB Construction.
The 34th Pacific Asia Conference on Language, Information and Computation, pp.395--403, 2020.
[PDF file]
[slide]
- Takashi Inui and Yuki Nakano.
An Analysis of Japanese Named Entity Recognizer Specialized for Person and Organization Entities.
The 22nd International Conference on Asian Language Processing, pp.184--188, 2018.
[PDF file]
- Takaaki Tsunoda, Takashi Inui and Satoshi Sekine.
Utilizing Review Analysis to Suggest Product Advertisement Improvements.
The 6th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis, pp.41--50, 2015.
[PDF file]
- Takashi Inui, Masaki Saito and Mikio Yamamoto.
Automatic News Source Detection in Twitter Based on Text Segmentation.
The 28th Pacific Asia Conference on Language, Information and Computation, pp.195--203, 2014.
[PDF file]
- Chenchen Ding, Takashi Inui and Mikio Yamamoto.
Long-Distance Hierarchical Structure Transformation Rules Utilizing Function Words.
The International Workshop on Spoken Language Translation, pp.159--166, 2011.
[PDF file]
- Takashi Inui and Mikio Yamamoto.
Applying Sentiment-oriented Sentence Filtering to Multilingual Review Classification.
The 5th International Joint Conference on Natural Language Processing, Workshop on Sentiment Analysis where AI meets Psychology, pp.51--58, 2011.
[PDF file]
- Koiti Hasida, Hidetsugu Nanba, Takashi Inui, Makoto Iwayama, Taiichi Hashimoto and Atsushi Fujii.
Circulation of Collective Intelligence through Patents: An Early Progress Report.
The 12th conference of the pacific association for computational linguistics, pp,113--121, 2011.
[PDF file]
- Hiroya Takamura, Takashi Inui, and Manabu Okumura.
Extracting Semantic Orientations of Phrases from Dictionary.
The Human Language Technologies: The
Annual Conference of the North American Chapter of the Association
for Computational Linguistics (NAACL-HLT2007), pp.292--299, 2007.
[PDF file]
- Takashi Inui, Hiroya Takamura, and Manabu Okumura.
Latent Variable Models for Causal Knowledge Acquisition.
The 8th International Conference on
Intellignet Text Processing and Computational Linguistics
(CICLing-2007), pp.85--96, 2007.
[PDF file],[presentation slide]
- Taichi Noro, Takashi Inui, Hiroya Takamura, and Manabu Okumura.
Time Period Identificaiton of Events in Text.
The 21st International Conference on
Computational Linguistics and 44th Annual Meeting of the
Association for Computational Linguistics (COLING-ACL2006), pp.1153--1160, 2006.
[PDF file]
- Hiroya Takamura, Takashi Inui and Manabu Okumura.
Latent Variable Models for Semantic Orientations of Phrases.
The 11th Conference of the European Chapter of the Association for
Computational Linguistics (EACL-2006), pp.201--208, 2006.
[PDF file]
- INUI Takashi and OKUMURA Manabu.
Investigating the Characteristics of Causal Relations in Japanese Text.
The 43rd Annual Meeting of the Association for Computational
Linguistics, Workshop on Frontiers in Corpus Annotation II: Pie in the
Sky, pp.37--44, 2005.
[PDF file],[presentation slide]
- TAKAMURA Hiroya and INUI Takashi and OKUMURA Manabu.
Extracting Semantic Orientations of Words using Spin Model.
The 43rd Annual Meeting of the Association for Computational
Linguistics (ACL2005), pp.133--140, 2005.
[PDF file]
- TAKAMURA Hiroya and INUI Takashi and OKUMURA Manabu.
Extracting Emotional Polarity of Words using Spin Model.
The Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ and IEICE-SIGAI on Active Mining (AM2004), pp.207--212, 2004.
[PDF file]
- INUI Takashi and INUI Kentaro and MATSUMOTO Yuji.
What Kinds and Amounts of Causal Knowledge Can Be Acquired from Text by Using Connective Markers as Clues?
The 6th International Conference on Discovery Science (DS-2003), 180--193, 2003
[PDF file],[presentation slide]
- INUI Takashi and INUI Kentaro.
Committee-based Decision Making in Probabilistic Partial Parsing.
The 18th International Conference on Computational Linguistics
(COLING2000), pp.348--354, 2000.
[ps.gz file(Revised version),[PDF file(Revised version)][presentation slide]
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- ±ü¼³Ø, ´¥¹§»Ê.
blog¥Þ¥¤¥Ë¥ó¥°¤ÈɾȽʬÀÏ
¸À¸ì½èÍý³Ø²ñÂè12²óǯ¼¡Âç²ñ¥Á¥å¡¼¥È¥ê¥¢¥ë, 2006.
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¤â¤É¤ë
Lecture Notes
- Takashi Inui, Hiroya Takamura, and Manabu Okumura.
Latent Variable Models for Causal Knowledge Acquisition.
Alexander Gelbukh(Ed.), Computational Linguistics and Intelligent Text Processing, Lecture Notes in Computer Science, Vol.4394, pp.85--96, Springer-Verlag, 2007.
- INUI Takashi and INUI Kentaro and MATSUMOTO Yuji.
What Kinds and Amounts of Causal Knowledge Can Be Acquired from Text by Using Connective Markers as Clues?
Gunter Grieser, Yuzura Tanaka, Akihiro Yamamoto(Eds.), Discovery Science, Lecture Notes in Artificial Intelligence, Vol.2843, pp.180--193, Springer-Verlag, 2003.
¤â¤É¤ë
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- 2022ǯ. ¾ðÊó½èÍý³Ø²ñ¼«Á³¸À¸ì½èÍý¸¦µæ²ñ(NL-253) ¼ã¼ê¾©Îå¾Þ ¼õ¾Þ¡ÊÂè£±Ãø¼Ô¤Ø¤Îɽ¾´¡Ë. 2022.
»³½¡°ì, ´¥¹§»Ê. ¸ÀµÚ¤ËÂФ¹¤ëÃÏÍýŪÆÃÄêÀ»ØÉ¸¤ÎÄ󰯤Èʸ½ñ¥¸¥ª¥í¥±¡¼¥·¥ç¥ó¤Ø¤ÎŬÍÑ.
- 2021ǯ. ¾ðÊó½èÍý³Ø²ñ¼«Á³¸À¸ì½èÍý¸¦µæ²ñ(NL-248) ¼ã¼ê¾©Îå¾Þ ¼õ¾Þ¡ÊÂè£±Ãø¼Ô¤Ø¤Îɽ¾´¡Ë. 2021.
Ê¿ÀîÅß°Ó, ´¥¹§»Ê. ÃÏÍýŪÃμ±¥°¥é¥Õ¤ò¼è¤ê¹þ¤ó¤À¥Ë¥å¡¼¥é¥ëʸ½ñ¥¸¥ª¥í¥±¡¼¥·¥ç¥ó¥â¥Ç¥ë.
- Ê¿À®22ǯ¡¥³ÚÅ·¸¦µæ³«È¯¥·¥ó¥Ý¥¸¥¦¥à ³ÚÅ·¥Ç¡¼¥¿¥Á¥ã¥ì¥ó¥¸ºÇÍ¥½¨¥Ç¡¼¥¿¥Á¥ã¥ì¥ó¥¸¾Þ ¼õ¾Þ. 2010.
³ÑÅŧ¾¼, ß·ÅÄ·òÅÔ, µÈÅĸ÷ÃË¡Ê»ØÆ³³ØÀ¸¸¦µæ¥°¥ë¡¼¥×¡Ë. Âоݥµ¡¼¥Ó¥¹¤ËÆÃ²½¤·¤¿ÆüËܸìWeb¥¹¥Ú¥ë¥Á¥§¥Ã¥«¡¼¤Î³«È¯.
- Ê¿À®21ǯ¡¥³ÚÅ·¸¦µæ³«È¯¥·¥ó¥Ý¥¸¥¦¥à Í¥½¨ÏÀʸ¾Þ ¼õ¾Þ. 2009.
µÈÅĸ÷ÃË, ´¥¹§»Ê, »³ËÜ´´Íº. CSS¥»¥ì¥¯¥¿¤Çɽ¸½¤µ¤ì¤¿¥³¥ó¥Æ¥ó¥ÄÃê½Ð¥ë¡¼¥ë¤Î¼«Æ°³ÍÆÀ.
- Ê¿À®18ǯ. Ê¿À®18ǯÅÙ ¾ðÊó½èÍý³Ø²ñ »³²¼µÇ°¸¦µæ¾Þ ¼õ¾Þ. 2006.
¹â¼ ÂçÌé, ´¥ ¹§»Ê, ±ü¼ ³Ø. ¶ËÀȿž¤ËÂбþ¤·¤¿É¾²Áɽ¸½¥â¥Ç¥ë
¡Ê2005-NL168¡Ë.
- Ê¿À®15ǯ. ¸À¸ì½èÍý³Ø²ñ Â裹²óǯ¼¡Âç²ñ Í¥½¨È¯É½¾Þ ¼õ¾Þ. 2003.
´¥¹§»Ê, ´¥·òÂÀϺ, ¾¾ËÜ͵¼£. ¥Æ¥¥¹¥È¤«¤é³ÍÆÀ²Äǽ¤Ê°ø²Ì´Ø·¸Ã챤ÎÎàÊ̤ª¤è¤Ó¤½¤Î¼«Æ°³ÍÆÀ¤Î»î¤ß -Àܳ½õ
»ì¡Ö¤¿¤á¡×¤ò´Þ¤àʸ¤òÃæ¿´¤Ë-.
- Ê¿À®12ǯ. ÅŻҾðÊóÄÌ¿®³Ø²ñ ¶å½£»ÙÉô Ê¿À®£±£²Ç¯ÅÙ»ÙÉô¾©Îå¾Þ ¼õ¾Þ. 2000.
´¥¹§»Ê, ´¥·òÂÀϺ. ³ÎΨŪ¤Ë°ìÈ̲½¤µ¤ì¤¿°Ñ°÷²ñÊý¼°¤Ë¤è¤ëÅý·×Ū¹½Ê¸²òÀÏ.
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- ÈÄëͪ¿Í
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- û²Î¤ÎÆÉ²ò¤ò»Ù±ç¤¹¤ë¥·¥¹¥Æ¥à¤Î³«È¯(2025)
- SNS ¤Ø¤ÎÅê¹ÆÆâÍÆ¤Î´¶¾ðʬÀϥġ¼¥ë¤òºîÀ®¤¹¤ë(2024)
- ·±Îý¥Ç¡¼¥¿ÁªÂò¤Ë¤è¤ë¿Í³ÊAI ¤Î¥Õ¥£¡¼¥¸¥Ó¥ê¥Æ¥£¡¼¼Â¸³(2024)
- ¥¥ã¥é¥¯¥¿¡¼À¤ò»ý¤Ã¤¿chatbot¤ÎºîÀ®(2023)
- ι¹Ô¥µ¥¤¥È¤Î¥ì¥Ó¥å¡¼¤Îɾ²Á¶ËÀʬÀÏ(2022)
- ²»³Ú¡¦±ÇÁü¥á¥Æ¥£¥¢¤Î¥Þ¥Ã¥·¥å¥¢¥Ã¥×ºîÉÊ´ÉÍý¥·¥¹¥Æ¥à¤Î¤¿¤á¤ÎºîÉÊ´ÖÎà»÷ÅÙ·×»»(2021)
- µ¡³£³Ø½¬¤òÍѤ¤¤¿TwitterÅê¹ÆÊ¸¤Îɾ²Á¶ËÀȽÄê(2019)
- Twitter¤ÎÂÐÏåǡ¼¥¿¤ò³Ø½¬¤ËÍøÍѤ·¤¿¥Á¥ã¥Ã¥È¥Ü¥Ã¥È¤ÎºîÀ®¡Ê2017¡Ë
- ¥Æ¥¥¹¥ÈʬÎà¤Ë¤è¤ë¿Íʪ¿äÄê¡Ê2016¡Ë
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- ¼½ñ¤ÈÊÔ½¸µ÷Î¥¤òÍѤ¤¤¿Ê¸Ã椫¤é¤Î´éʸ»úÃê½ÐË¡¡Ê2011¡Ë
¤â¤É¤ë
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- ¹â¶¶·ò»Ê, ¹â¼ÂçÌé, ´¥¹§»Ê.
In-Context Learning¤Ë´ð¤Å¤¯·ÐÏ©°ÆÆâ¤Î¤¿¤á¤ÎÃÏÍýŪÃμ±¤Î³èÍÑÊýË¡¤Ë´Ø¤¹¤ë¸¡Æ¤.
¸À¸ì½èÍý³Ø²ñÂè32²óǯ¼¡Âç²ñ¡ÊNLP2026¡Ë.
[PDF],
[slide]
- »°¿¹Âº, ¹â¼ÂçÌé, ´¥¹§»Ê.
Constitutional AI ¤Ë¤ª¤±¤ë¸¶Â§Å¬ÍÑ½ç½ø¤Èͳ²Å¾²½¸½¾Ý¤ÎʬÀÏ.
¸À¸ì½èÍý³Ø²ñÂè32²óǯ¼¡Âç²ñ¡ÊNLP2026¡Ë.
[PDF],
[slide]
- Áⱶʸ, ´¥¹§»Ê.
LLM-based POI Recommendation Framework Using Similar Trajectories.
¾ðÊó½èÍý³Ø²ñ¼«Á³¸À¸ì½èÍý¸¦µæ²ñ(NL-264-18), 2025.
[slide]
- »°¿¹Âº, ´¥¹§»Ê.
ÃÏÍýŪ¸ÀµÚ¤ËÂФ¹¤ë¥¨¥ó¥Æ¥£¥Æ¥£¡¦¥ê¥ó¥¥ó¥°¤Ë¤ª¤±¤ë½»½ê³¬ÁؤÎÍøÍÑ.
¸À¸ì½èÍý³Ø²ñÂè31²óǯ¼¡Âç²ñ¡ÊNLP2025¡Ë.
[PDF],
[slide]
- Ãæ²¬¹¨ÆÁ, ´¥¹§»Ê.
²½³ØÊ¬Ìîʸ¸¥¤«¤é¤Î¾ðÊóÃê½Ð¤Ë¤ª¤±¤ë¥Æ¥¥¹¥ÈŤò¹Íθ¤·¤¿Table-Filling¥â¥Ç¥ë.
¾ðÊó½èÍý³Ø²ñÂè87²óÁ´¹ñÂç²ñ, 2025.
- »³ËÜÍ´Ìí, ´¥¹§»Ê.
ÃÏÍýŪ¥¨¥ó¥Æ¥£¥Æ¥£¾ðÊó¤¬Í¿¤¨¤é¤ì¤¿Ê¸½ñ¥¸¥ª¥í¥±¡¼¥·¥ç¥ó¥â¥Ç¥ë¤Î͸úÀ¸¡¾Ú.
¸À¸ì½èÍý³Ø²ñÂè30²óǯ¼¡Âç²ñ¡ÊNLP2024¡Ë.
[PDF],
[slide]
- Ãæ²¬¹¨ÆÁ, ´¥¹§»Ê.
¥Æ¥¥¹¥È¥Þ¥¤¥Ë¥ó¥°¤Ë¤è¤ë²½¹çʪ¹çÀ®ÊýË¡¤ÎÃê½Ð.
Âè71²ó±þÍÑʪÍý³Ø²ñ½Õµ¨³Ø½Ñ¹Ö±é²ñ, 2024.
- »³½¡°ì, ´¥¹§»Ê.
°ÌÃÖ°À¤òͤ·¤Ê¤¤»öʪ¤ËÂФ¹¤ëÃÏÍýŪÆÃÄêÀ¤ÎʬÀÏ.
¸À¸ì½èÍý³Ø²ñÂè29²óǯ¼¡Âç²ñ¡ÊNLP2023¡Ë.
[PDF],
[slide]
- »³½¡°ì, ´¥¹§»Ê.
¸ÀµÚ¤ËÂФ¹¤ëÃÏÍýŪÆÃÄêÀ»ØÉ¸¤ÎÄ󰯤Èʸ½ñ¥¸¥ª¥í¥±¡¼¥·¥ç¥ó¤Ø¤ÎŬÍÑ.
¾ðÊó½èÍý³Ø²ñ¼«Á³¸À¸ì½èÍý¸¦µæ²ñ(NL-253-19), 2022.
[slide]
- ±üÀîÃÒµ®, ´¥¹§»Ê.
Twitter Åê¹Æ¤Ë¤ª¤±¤ëÄêÀŪ»þ´Öɽ¸½¤Î»ÈÍÑ»þ¹ïʬÉÛÄ´ºº.
¸À¸ì½èÍý³Ø²ñÂè28²óǯ¼¡Âç²ñ¡ÊNLP2022¡Ë,
2022ǯ3·î.
[slide]
- Ê¿ÀîÅß°Ó, ´¥¹§»Ê.
ÃÏÍýŪÃμ±¥°¥é¥Õ¤ò¼è¤ê¹þ¤ó¤À¥Ë¥å¡¼¥é¥ëʸ½ñ¥¸¥ª¥í¥±¡¼¥·¥ç¥ó¥â¥Ç¥ë.
¾ðÊó½èÍý³Ø²ñ¼«Á³¸À¸ì½èÍý¸¦µæ²ñ(NL-248-3), 2021.
[slide]
- ±¢»³½¡°ì, ¶ðÅÄÂóÌé, ´¥¹§»Ê.
¥Ë¥å¡¼¥é¥ëÆüËܸì¸ÇÍɽ¸½Ç§¼±¤Ë¤ª¤±¤ë³Ê¥Õ¥ì¡¼¥à¤Î͸úÀ¸¡¾Ú.
¸À¸ì½èÍý³Ø²ñÂè27²óǯ¼¡Âç²ñ¡ÊNLP2021¡Ë,
2021ǯ3·î.
[slide]
- Ê¿ÀîÅß°Ó¡¤´¥¹§»Ê.
ÆüËܸìÃÏÍýŪ°ÌÃÖ¿äÄê²ÝÂê¤Ë¤ª¤±¤ë¥¤¥ó¥¸¥±¡¼¥¿ÉÕdeepgeoË¡¤ÎÄ󰯤Èɾ²Á.
Âè34²ó¿Í¹©ÃÎǽ³Ø²ñÁ´¹ñÂç²ñ, 4pages, 2020.
[slide]
- ±ºß·¹ç, ´¥¹§»Ê, ÅÄÃæ°ìÀ®, ´äÁÒͧºÈ.
¶µ»Õ¤Ê¤·Ê¬³ä¤È¸À¤¤´¹¤¨¤Ë´ð¤Å¤¯²½¹çʪ̾Ʊ°ìÀȽÄê¤Ë¤ª¤±¤ë¸õÊä¹Ê¤ê¹þ¤ß.
¸À¸ì½èÍý³Ø²ñÂè26²óǯ¼¡Âç²ñ¡ÊNLP2020¡Ë,
2020ǯ3·î.
- ´Øº¬Íµ¿Í, ±ºß·¹ç, ´¥¹§»Ê, ´äÁÒͧºÈ.
Contextual Subword Embeddings¤ò¹Íθ¤·¤¿Ê¸½ñ¤«¤é¤Î²½¹çʪ̾Ãê½Ð¼Â¸³.
¸À¸ì½èÍý³Ø²ñÂè26²óǯ¼¡Âç²ñ¡ÊNLP2020¡Ë, 2020ǯ3·î.
- ²¼±àÎÉÂÀ, ´¥¹§»Ê.
Twitter¤Î¥Ð¡¼¥¹¥È¾ðÊó¤Ë´ð¤Å¤¯ºù¤Î¸«º¢¿äÄê.
¿Í¹©ÃÎǽ³Ø²ñÂè22²ó¥¤¥ó¥¿¥é¥¯¥Æ¥£¥Ö¾ðÊó¥¢¥¯¥»¥¹¤È²Ä»ë²½¥Þ¥¤¥Ë¥ó¥°¸¦µæ²ñ, 5pages, 2019.
[slide]
- ´ØÎ¶, ´¥¹§»Ê.
¿·Ê¹µ»öÃæ¤ÎÃÏ̾¤ËÂФ¹¤ëÃÏÍýŪ°ÌÃÖ¿äÄê¤Ë¤ª¤±¤ë͸ú¤ÊÁÇÀ¤ÎÄ´ºº.
Âè33²ó¿Í¹©ÃÎǽ³Ø²ñÁ´¹ñÂç²ñ, 4pages, 2019.
[slide]
- ´Øº¬Íµ¿Í, ±ºß·¹ç, ´¥¹§»Ê, ´äÁÒͧºÈ.
Ê£¿ô¥µ¥Ö¥ï¡¼¥É·ÏÎó¤ò¹Íθ¤·¤¿BiLSTM-CRF¥â¥Ç¥ë¤òÍѤ¤¤¿Ê¸½ñ¤«¤é¤Î²½¹çʪ̾Ãê½Ð.
Âè33²ó¿Í¹©ÃÎǽ³Ø²ñÁ´¹ñÂç²ñ, 4pages, 2019.
- ±ºß·¹ç, ´Øº¬Íµ¿Í, ´¥¹§»Ê, ´äÁÒͧºÈ.
ʸ½ñ¤«¤é¤Î²½¹çʪ̾Ãê½Ð¤Î¤¿¤á¤Î¥µ¥Ö¥ï¡¼¥É͸úÀÄ´ºº.
Âè33²ó¿Í¹©ÃÎǽ³Ø²ñÁ´¹ñÂç²ñ, 4pages, 2019.
- ßÀ²¼¾»¹î, ´¥¹§»Ê, ¼¾å¹À»Ê, ¿·Î¤·½»Ê.
¥ì¥Ó¥å¡¼¤«¤é¤Î¼ÁÌäʸÀ¸À®¤Î¤¿¤á¤ÎILPʸÃê½Ð.
¸À¸ì½èÍý³Ø²ñÂè25²óǯ¼¡Âç²ñ¡ÊNLP2019¡Ë, pp.1559--1602, 2019ǯ3·î.
- ´ØÎ¶, ´¥¹§»Ê.
¶É½êʸ̮¤È´ØÏ¢Ê¸½ñ¤òÍѤ¤¤¿ÃÏ̾¤ËÂФ¹¤ëÃÏÍýŪ°ÌÃÖ¤ÎÆ±Äê.
Âè32²ó¿Í¹©ÃÎǽ³Ø²ñÁ´¹ñÂç²ñ, 4pages, 2018.
- ßÀ²¼¾»¹î, ´¥¹§»Ê, ¼¾å¹À»Ê, ¿·Î¤·½»Ê.
ÂÐÏ÷¿¾ðÊó¼ý½¸¤Î¤¿¤á¤Î¼ÁÌäÀ¸À®¤Ë¤ª¤±¤ëÈÝÄê¼ÁÞÆþ¸ú²Ì¤Ë¤Ä¤¤¤Æ.
¸À¸ì½èÍý³Ø²ñÂè24²óǯ¼¡Âç²ñ¡ÊNLP2018¡Ë, pp.544--547, 2018ǯ3·î.
- »°¹¥À»»Ò, ÃçÌîͧµ¬, ´¥¹§»Ê.
Wikification¤Ë¤ª¤±¤ë¸ÇÍɽ¸½¥¯¥é¥¹¾ðÊó¤òÍѤ¤¤¿¸õÊäºï¸º.
¸À¸ì½èÍý³Ø²ñÂè24²óǯ¼¡Âç²ñ¡ÊNLP2018¡Ë, pp.1100--1103, 2018ǯ3·î.
- ÃçÌîͧµ¬, ´¥¹§»Ê.
¿Íʪ¡¦ÁÈ¿¥¥¨¥ó¥Æ¥£¥Æ¥£¤ËÆÃ²½¤·¤¿¸ÇÍɽ¸½Ãê½Ð´ï¤Î³«È¯.
¸À¸ì½èÍý³Ø²ñÂè24²óǯ¼¡Âç²ñ¡ÊNLP2018¡Ë, pp.925--928, 2018ǯ3·î.
- ´¥¹§»Ê.
±ó¤¤Ì¤Íè¤Î¼«Á³¸À¸ì½èÍý.
ÅŻҾðÊóÄÌ¿®³Ø²ñ»ï, Vol.100, No.6, pp.484--488, 2017.
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- ÃçÌîͧµ¬, ´¥¹§»Ê.
¿Íʪ¡¦ÁÈ¿¥¥¨¥ó¥Æ¥£¥Æ¥£¤ËÂФ¹¤ë¸ÇÍɽ¸½Ãê½Ð²ÝÂê¤ÎÆñ°×ÅÙɾ²Á.
¸À¸ì½èÍý³Ø²ñÂè23²óǯ¼¡Âç²ñ¡ÊNLP2017¡Ë, pp.246--249, 2017ǯ3·î.
- ²Ï¸¶Íµ¼ù, ´¥¹§»Ê.
°¸ýÅê¹Æ¸¡½Ð¤Ë¤ª¤±¤ë¥½¡¼¥·¥ã¥ë¥Æ¥¥¹¥È¤ÎÆÃÀ¤ò¹Íθ¤·¤¿²¾ÁÛ¶µ»Õ»öÎãºîÀ®.
ÅŻҾðÊóÄÌ¿®³Ø²ñ»×¹Í¤È¸À¸ì¸¦µæ²ñ¡ÊTL2017-3¡Ë, pp.13--18, 2017ǯ3·î.
- ÀÖºêÃÒ, ´¥¹§»Ê, µÈ±Êľ¼ù, ËÅÄÀµ»Ë
¥Æ¥¥¹¥È¥¹¥È¥ê¡¼¥à¤«¤é¤ÎƱ̾°ÛµÁ¤Ê̤ÃÎ¥¨¥ó¥Æ¥£¥Æ¥£¤Î¸¡½Ð.
NLP¼ã¼ê¤Î²ñÂè11²ó¥·¥ó¥Ý¥¸¥¦¥à(YANS2016), 2016ǯ8·î.
- ÃçÌîͧµ¬, ²Ï¸¶Íµ¼ù, ´¥¹§»Ê.
SVM¤òÍѤ¤¤¿ÈðëîÃæ½ý¡¦°¸ýÅê¹Æ¤«¤é¤ÎÈï³²¼Ôɽ¸½¤Î¼«Æ°Ãê½Ð.
ÅŻҾðÊóÄÌ¿®³Ø²ñ»×¹Í¤È¸À¸ì¸¦µæ²ñ¡ÊTL2016-6¡Ë, pp.23--28, 2016ǯ6·î.
- ÀÖºêÃÒ, ´¥¹§»Ê, »³ËÜ´´Íº.
¹ñ¸ì¼Åµ¤Î¸ìµÁ·ÇºÜ½ç¤òÍøÍѤ·¤¿¿·¸ìµÁ¸¡½Ð.
¸À¸ì½èÍý³Ø²ñÂè22²óǯ¼¡Âç²ñ¡ÊNLP2016¡Ë, pp.1085--1088, 2016ǯ3·î.
- »³²¼Ïµ±, ´¥¹§»Ê, »³ËÜ´´Íº.
ɾȽʬÀϤΤ¿¤á¤Îɾ²Á»ëÅÀÌÚ¹½Ãۤˤª¤±¤ëÈÆÍÑ¥·¥½¡¼¥é¥¹ÍøÍÑË¡¤Î¸¡Æ¤.
¸À¸ì½èÍý³Ø²ñÂè22²óǯ¼¡Âç²ñ¡ÊNLP2016¡Ë, pp.733--736, 2016ǯ3·î.
- ËÜ¿Çȵ±, ´¥¹§»Ê, »³ËÜ´´Íº.
³È»¶¥«¡¼¥Í¥ë¤òÍѤ¤¤¿¶µ»Õ¤Ê¤·Â°À¡¦É¾²ÁÁÈÃê½Ð.
¸À¸ì½èÍý³Ø²ñÂè22²óǯ¼¡Âç²ñ¡ÊNLP2016¡Ë, pp.737--740, 2016ǯ3·î.
- ²Ï¸¶Íµ¼ù, ´¥¹§»Ê, »³ËÜ´´Íº.
Èï³²¼Ô¼ïÊ̤ò¹Íθ¤·¤¿¥½¡¼¥·¥ã¥ë¥Æ¥¥¹¥È¤«¤é¤Î°¸ý¸¡½Ð.
ÅŻҾðÊóÄÌ¿®³Ø²ñ»×¹Í¤È¸À¸ì¸¦µæ²ñ¡ÊTL2015-12¡Ë, pp.67--72, 2015ǯ6·î.
- Ê¡Åĸç»Ö, ÆñÇȱѻÌ, ÃÝß·¼÷¹¬, ´¥¹§»Ê, ´ä»³¿¿, ¶¶ÅĹÀ°ì, Æ£°æÆØ.
F¥¿¡¼¥à¤Ë´ð¤Å¤¤¤¿¥ª¥ó¥È¥í¥¸¡¼¤Î¹½ÃÛ.
¸À¸ì½èÍý³Ø²ñÂè21²óǯ¼¡Âç²ñ, pp.1056--1059, 2015.
- Æ£°æÆØ¡¤´¥¹§»Ê¡¤Ã滳ÂîºÈ.
¥ì¥Ó¥å¡¼²òÀϤòÂêºà¤È¤·¤¿¡Ö¸í¤êʬÀϥޥ˥奢¥ë¡×¤Î»îºî¤Ë¸þ¤±¤¿¸¡Æ¤.
¸À¸ì½èÍý³Ø²ñÂè21²óǯ¼¡Âç²ñÊ»Àߥ¥¯¥·¥ç¥Ã¥×¡Ö¼«Á³¸À¸ì½èÍý¤Ë¤ª¤±¤ë¥¨¥é¡¼Ê¬ÀÏ¡¡¡Ê·ó¡§Project Next NLPÊó¹ð²ñ¡Ë¡×, 3pages, 2015.
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- ¿·Ç¼¹À¹¬, Çò°æÀ¶¾¼, ¼ÅÄ¿¿¼ù, Ê¡ËÜʸÂå, Æ£ÅÄÁáÉÄ, º´¡¹ÌÚÌ, ¸ÅµÜ²ÅÆá»Ò, ´¥¹§»Ê.
¸ìµÁÛ£ËæÀ²ò¾Ã¤Î¸í¤êʬÀÏ.
¸À¸ì½èÍý³Ø²ñÂè21²óǯ¼¡Âç²ñÊ»Àߥ¥¯¥·¥ç¥Ã¥×¡Ö¼«Á³¸À¸ì½èÍý¤Ë¤ª¤±¤ë¥¨¥é¡¼Ê¬ÀÏ¡¡¡Ê·ó¡§Project Next NLPÊó¹ð²ñ¡Ë¡×, 34pages, 2015.
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F¥¿¡¼¥à¤Ë´ð¤Å¤¤¤¿¥ª¥ó¥È¥í¥¸¡¼¤Î¹½ÃÛ.
Âè3²óÆÃµö¾ðÊó¥·¥ó¥Ý¥¸¥¦¥à, 8pages, 2014.
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ɽÁØÅª¸À¸ì¥Ñ¥¿¥ó¤òÍѤ¤¤¿³¬ÁØÅªÉ¾²Á»ëÅÀ¥«¥¿¥í¥°¤Î¼«Æ°À¸À®.
Âè28²ó¿Í¹©ÃÎǽ³Ø²ñÁ´¹ñÂç²ñ, 4pages, 2014.
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ÃÌÏÃÌò³ä¤Ë´ð¤Å¤¯¥¯¥é¥¹À©Ìóµ¬Â§¤òÍøÍѤ·¤¿¥ì¥Ó¥å¡¼Ê¸¤Î°Õ¸«Ê¬Îà.
¸À¸ì½èÍý³Ø²ñÂè20²óǯ¼¡Âç²ñ, pp.880--883, 2014.
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¥Æ¥¥¹¥È¥»¥°¥á¥ó¥Æ¡¼¥·¥ç¥ó¼êË¡¤òÍѤ¤¤¿¥Þ¥¤¥¯¥í¥Ö¥í¥°¥Ý¥¹¥È¤Î¾ðÊ󸻿äÄê.
¸À¸ì½èÍý³Ø²ñÂè20²óǯ¼¡Âç²ñ, pp.1095--1098, 2014.
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ÆÃµöʬÎॳ¡¼¥ÉÂηϤ˴ð¤Å¤¯¥ª¥ó¥È¥í¥¸¡¼¤Î¹½ÃÛ - ¾ðÊóʬÌî¤Ë¤ª¤±¤ë¥±¡¼¥¹¥¹¥¿¥Ç¥£¡¼ -.
¸À¸ì½èÍý³Ø²ñÂè20²óǯ¼¡Âç²ñ, pp.400--403, 2014.
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̾´ó¤»¤È¥Ó¥Ã¥°¥Ç¡¼¥¿.
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½Ò¸ì¹à´Ø·¸¤ËÂФ¹¤ëɾ²Á¶ËÀ¤Î¼«Æ°ÉÕÍ¿.
Âè27²ó¿Í¹©ÃÎǽ³Ø²ñÁ´¹ñÂç²ñ, 2pages, 2013.
- ÅÏî´¾°¸ã, ´¥¹§»Ê, »³ËÜ´´Íº.
¥«¥Æ¥´¥ê¾ðÊó¤òÍøÍѤ·¤¿blogµ»ö¤«¤é¤Î¾¦ÉÊ̾¼«Æ°Ãê½Ð.
¸À¸ì½èÍý³Ø²ñÂè19²óǯ¼¡Âç²ñ, pp.3--6, 2013.
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ÂФò¤Ê¤¹Æóʸ½ñ´Ö¤Ë¤ª¤±¤ëʸÂбþ¿äÄꤪ¤è¤Ó±þÅúʸÀ¸À®¤Ø¤Î±þÍÑ.
¸À¸ì½èÍý³Ø²ñÂè19²óǯ¼¡Âç²ñ, pp.198--201, 2013.
- Àж¶Ä¾¸Ê, ´¥¹§»Ê, »³ËÜ´´Íº.
¾¦Éʤ˴ؤ¹¤ëÈﻲ¾ÈÀ¤ÈÎà»÷À¤Ë´ð¤Å¤¯¥ì¥Ó¥å¡¼Ê¸½ñ¤«¤é¤Î¶¥¹ç¾¦ÉÊÆ±Äê¼êË¡.
¸À¸ì½èÍý³Ø²ñÂè18²óǯ¼¡Âç²ñ, pp.863--866, 2012.
- Ãú¿Ðä, ´¥¹§»Ê, »³ËÜ´´Íº.
Åý·×Ūµ¡³£ËÝÌõ¤Ë¤ª¤±¤ëµ¡Ç½¸ì¤òÍøÍѤ·¤¿³¬ÁØÅª¹Èϰϥե졼¥ºÊ¤ÓÂØ¤¨¥ë¡¼¥ë.
¸À¸ì½èÍý³Ø²ñÂè18²óǯ¼¡Âç²ñ, pp.805--808, 2012.
- À¦ÅľÅÐ, ÆñÇȱѻÌ, ÃÝß·¼÷¹¬, ´¥¹§»Ê, ´ä»³¿¿, ¶¶ÅĹÀ°ì, ¶¶ËÜÂÙ°ì, Æ£°æÆØ.
ÆÃµöÀÁµá¹à¤È¾ÜºÙÀâÌÀ¤Î¼«Æ°ÂбþÉÕ¤±.
¸À¸ì½èÍý³Ø²ñÂè18²óǯ¼¡Âç²ñ, pp.1328--1331, 2012.
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ɾ²Áɽ¸½¤Èʸ̮°ì´ÓÀ¤òÍøÍѤ·¤¿¶µ»Õ¥Ç¡¼¥¿¼«Æ°³ÍÆÀ¤Ë¤è¤ë¥¯¥ì¡¼¥àʸ¸¡ÃÎ.
ÅŻҾðÊóÄÌ¿®³Ø²ñ ¸À¸ìÍý²ò¤È¥³¥ß¥å¥Ë¥±¡¼¥·¥ç¥ó¸¦µæ²ñ Â裳²ó½¸¹çÃÎ¥·¥ó¥Ý¥¸¥¦¥à, pp.47--52, 2012.
- ÈÄëͪ¿Í, ´¥¹§»Ê, »³ËÜ´´Íº.
¥ì¥Ó¥å¡¼Í×Ì󵻽ѤòÍѤ¤¤¿½ÉÇñ»ÜÀßÁªÂò»Ù±ç.
Â裴²ó³ÚÅ·¸¦µæ³«È¯¥·¥ó¥Ý¥¸¥¦¥à, 2011.
- Çß߷ͤ²ð, ´¥¹§»Ê, »³ËÜ´´Íº.
µ¡³£³Ø½¬µ»½Ñ¤òÍѤ¤¤¿½ÉÇñ»ÜÀߤؤΥ¯¥ì¡¼¥àȯ¸«Ë¡.
Â裴²ó³ÚÅ·¸¦µæ³«È¯¥·¥ó¥Ý¥¸¥¦¥à, 2011.
- ÈÄëͪ¿Í, ´¥¹§»Ê, »³ËÜ´´Íº.
¥ì¥Ó¥å¡¼½¸¹çÍ×Ìó¤Ë¤ª¤±¤ëÆÃħŪɾ²Á»ëÅÀ¥»¥ì¥¯¥·¥ç¥ó.
Âè10²ó¾ðÊó²Ê³Øµ»½Ñ¥Õ¥©¡¼¥é¥à, ¹Ö±éÏÀʸ½¸Â裲ʬºýpp.287--290, 2011.
- ÅÏÊÕ¾°¸ã, ´¥¹§»Ê, »³ËÜ´´Íº.
¾¦ÉÊ¥«¥Æ¥´¥ê¾ðÊó¤ËÃåÌܤ·¤¿¶µ»Õ¥Ç¡¼¥¿¼ý½¸¤Ë¤è¤ë¾¦ÉÊ̾Ãê½Ð¼êË¡.
¿Í¹©ÃÎǽ³Ø²ñÁ´¹ñÂç²ñ, 4pages, 2011.
- ´¥¹§»Ê, »³ËÜ´´Íº.
ɾ²Áʸ½ñʬÎà¤Ë¤ª¤±¤ë°Û¸À¸ìËÝÌõ¥Ç¡¼¥¿¤ÎÍøÍÑË¡.
¸À¸ì½èÍý³Ø²ñÂè17²óǯ¼¡Âç²ñ, pp.119--122, 2011.
- ´¥¹§»Ê, ÆñÇȱѻÌ, ¶¶ËÜÂÙ°ì, Æ£°æÆØ, ´ä»³¿¿, ¶¶ÅĹÀ°ì.
ºÇÂ祯¥ê¡¼¥¯Ãµº÷¤Ë´ð¤Å¤¯ÆÃµö¸¡º÷ÍúÎò¤ÎÅý¹ç.
¸À¸ì½èÍý³Ø²ñÂè17²óǯ¼¡Âç²ñ, pp.1059--1062, 2011.
- ³ÑÅŧ¾¼, ´¥¹§»Ê, »³ËÜ´´Íº.
¶É½êŪµÚ¤ÓÂç°èŪʸ̮¤òÊ»ÍѤ·¤¿ÆüËÜ¸ìÆ±²»°ÛµÁ¸ì¸í¤ê¤ÎÄûÀµ.
¸À¸ì½èÍý³Ø²ñÂè17²óǯ¼¡Âç²ñ, pp.635--638, 2011.
- ÆñÇȱѻÌ, ÃÝß·¼÷¹¬, ´¥¹§»Ê, ´ä»³¿¿, ¶¶ÅĹÀ°ì, ¶¶ËÜÂÙ°ì, Æ£°æÆØ.
ÆÃµö¸¡º÷ÍúÎò¤òÍѤ¤¤¿¥·¥½¡¼¥é¥¹¤Î¼«Æ°¹½ÃÛ.
¸À¸ì½èÍý³Ø²ñÂè17²óǯ¼¡Âç²ñ, pp.896--899, 2011.
- ¶¶ÅĹÀ°ì, Æ£°æÆØ, ´ä»³¿¿, ¶¶ËÜÂÙ°ì, ´¥¹§»Ê, ÆñÇȱѻÌ.
ÆÃµö¤ÎÀè¹Ôµ»½ÑÄ´ºº¤Ë¤ª¤±¤ë½¸¹çÃΤν۴Ä.
¸À¸ì½èÍý³Ø²ñÂè17²óǯ¼¡Âç²ñ, pp.866--867, 2011.
- µÈÅĸ÷ÃË, ´¥¹§»Ê, »³ËÜ´´Íº.
¥ê¥ó¥¯¤ò´Þ¤à¤Ä¤Ö¤ä¤¤òÃæ¿´¤È¤·¤¿Twitter¤ÎʬÀÏ.
ÅŻҾðÊóÄÌ¿®³Ø²ñ Âè17²óWeb¥¤¥ó¥Æ¥ê¥¸¥§¥ó¥¹¤È¥¤¥ó¥¿¥é¥¯¥·¥ç¥ó¸¦µæ²ñ, pp.33-34, 2010.
- °ÂÅÄδ¹À, ±ÛÀîËþ, ´¥¹§»Ê, »³ËÜ´´Íº.
Khafra: ¸ì½çʤÙÂØ¤¨¥â¥Ç¥ë¤ËÂбþ¤·¤¿Æ°Åª·×²èË¡¤Ë´ð¤Å¤¯SMT¥Ç¥³¡¼¥À.
¸À¸ì½èÍý³Ø²ñÂè16²óǯ¼¡Âç²ñ, pp.625--628, 2010.
- µÈÅĸ÷ÃË, ´¥¹§»Ê, »³ËÜ´´Íº
¥Ö¥í¥°¥Ú¡¼¥¸½¸¹ç¤«¤é¤Î¥Ý¥¹¥ÈµÚ¤Ó¥³¥á¥ó¥È¤Î¼«Æ°Ãê½Ð.
¸À¸ì½èÍý³Ø²ñÂè16²óǯ¼¡Âç²ñ, pp.418--421, 2010.
- µÈÅĸ÷ÃË, ´¥¹§»Ê, »³ËÜ´´Íº
Web ¥Ë¥å¡¼¥¹¤òÍѤ¤¤¿Ì¤Íè¾ðÊóǯɽ¤Î¼«Æ°¹½ÃÛ.
Â裳²ó³ÚÅ·¸¦µæ³«È¯¥·¥ó¥Ý¥¸¥¦¥à¡¤2010.
- µÈÅĸ÷ÃË, ´¥¹§»Ê, »³ËÜ´´Íº.
¥Ö¥í¥°µ»ö½¸¹ç¤òÍѤ¤¤¿¥Ý¥¹¥È¤È¥³¥á¥ó¥È¤È¤Î¼«Æ°Ê¬Î¥Ãê½Ð¼êË¡¤ÎÄó°Æ.
¾ðÊó½èÍý³Ø²ñ¥Ç¡¼¥¿¥Ù¡¼¥¹¥·¥¹¥Æ¥à¸¦µæÈ¯É½²ñ(DBS-149-20), 8 pages, 2009.
[PDF file],[ȯɽ¥¹¥é¥¤¥É]
- µÈÅĸ÷ÃË, ´¥¹§»Ê, »³ËÜ´´Íº.
CSS¥»¥ì¥¯¥¿¤Çɽ¸½¤µ¤ì¤¿¥³¥ó¥Æ¥ó¥ÄÃê½Ð¥ë¡¼¥ë¤Î¼«Æ°³ÍÆÀ.
³ÚÅ·¸¦µæ³«È¯¥·¥ó¥Ý¥¸¥¦¥à, pp.7--10, 2009.
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- ¶¶ËÜÂÙ°ì, ´¥¹§»Ê, Æâ³¤ÏÂÉ×, ÀÐÀîÀµÆ».
ÆÃµöʸ¸¥¤òÍøÍѤ·¤¿¸¦µæ¼ÔµÕ°ú¤¥Ç¡¼¥¿¥Ù¡¼¥¹¥·¥¹¥Æ¥à¤Î¹½ÃÛ.
¸¦µæ¡¦µ»½Ñ·×²è³Ø²ñÂè24²óǯ¼¡³Ø½ÑÂç²ñ, pp.271--274, 2009.
- Æâ³¤ÏÂÉ×, ´¥¹§»Ê, ¶¶ËÜÂÙ°ì, ¼¾å¹À»Ê, ÀÐÀîÀµÆ».
¥Æ¥¥¹¥È¥Þ¥¤¥Ë¥ó¥°¤Ë¤è¤ë°åÎÅʬÌî¤Î²ÝÂêµÚ¤Ó¤½¤Î²ò·è¤Î¤¿¤á¤ÎÀ©ÅÙÂηÏÅù¤Ë´Ø¤¹¤ëÍÍÑÃ챤ÎÃê½Ð.
¸¦µæ¡¦µ»½Ñ·×²è³Ø²ñÂè24²óǯ¼¡³Ø½ÑÂç²ñ, pp.263--266, 2009.
- ¶¶ËÜÂÙ°ì, ´¥¹§»Ê, Æâ³¤ÏÂÉ×, ÀÐÀîÀµÆ».
¸¦µæ¼ÔµÕ°ú¤¥Ç¡¼¥¿¥Ù¡¼¥¹¥·¥¹¥Æ¥à¤Î¹½ÃÛ.
¿Í¹©ÃÎǽ³Ø²ñÁ´¹ñÂç²ñ, 2009.
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- ´¥¹§»Ê, ¶¶ËÜÂÙ°ì, ¹â¼ÂçÌé, Æâ³¤ÏÂÉ×, ÀÐÀîÀµÆ».
¥¡¼¥ï¡¼¥ÉÃê½Ð¤ÎÀ°¿ô·×²èÌäÂê¤È¤·¤Æ¤ÎÄê¼°²½.
¾ðÊó½èÍý³Ø²ñ¼«Á³¸À¸ì½èÍý¸¦µæ²ñ(NL-188-5), pp.29--36, 2008.
[PDF file], [ȯɽ¥¹¥é¥¤¥É]
- ¶¶ËÜÂÙ°ì, ´¥¹§»Ê, ¼¾å¹À»Ê.
³ÈÄ¥¸ÇÍɽ¸½¥¿¥°ÉÕ¤¥³¡¼¥Ñ¥¹¤Î¹½ÃÛ.
¾ðÊó½èÍý³Ø²ñ¼«Á³¸À¸ì½èÍý¸¦µæ²ñ(NL-188-17), pp.113--120, 2008.
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- Æâ³¤ÏÂÉ×, ´¥¹§»Ê, ¶¶ËÜÂÙ°ì, ¼¾å¹À»Ê, ÀÐÀîÀµÆ».
¼Ò²ñ²ÝÂê¤È¤½¤Î²ò·è¤Ë·ë¤Ó¤Ä¤¯²Ê³Øµ»½Ñ¤Ë´Ø¤¹¤ëÍÍÑÃ챤ÎÃê½Ð.
²Ê³Øµ»½Ñ¼Ò²ñÏÀ³Ø²ñÂ裷²óǯ¼¡¸¦µæÂç²ñ,
ͽ¹Æ½¸¡ÊD-1-3(GS)¡Ë2008.
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- Æâ³¤ÏÂÉ×, ´¥¹§»Ê, ¶¶ËÜÂÙ°ì, ¼¾å¹À»Ê, ÀÐÀîÀµÆ».
¥Æ¥¥¹¥È¥Þ¥¤¥Ë¥ó¥°¤Ë¤è¤ë¼Ò²ñ²ÝÂêµÚ¤Ó¤½¤Î²ò·è¤Ë·ë¤Ó¤Ä¤¯²Ê³Øµ»½Ñ¤Ë´Ø¤¹¤ëÍÍÑÃ챤ÎÃê½Ð.
¸¦µæ¡¦µ»½Ñ·×²è³Ø²ñÂè23²óǯ¼¡³Ø½ÑÂç²ñ, 10/12-4ʬºý¡¤pp.87--90, 2008.
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- ´¥¹§»Ê, Æâ³¤ÏÂÉ×, ¶¶ËÜÂÙ°ì, ¼¾å¹À»Ê, ÀÐÀîÀµÆ».
¿·Ê¹µ»ö¤«¤é¤Î¼Ò²ñ²ÝÂê¤ËÂФ¹¤ëµ»½ÑŪÂкö¾ðÊó¤ÎÃê½Ð.
Â裷²ó¾ðÊó²Ê³Øµ»½Ñ¥Õ¥©¡¼¥é¥à, Â裲ʬºý, pp.169--170, 2008.
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- ¶¶ËÜÂÙ°ì, ´¥¹§»Ê, ¼¾å¹À»Ê, Æâ³¤ÏÂÉ×, ÀÐÀîÀµÆ».
¼Ò²ñ²ÝÂêȯ¸«¤Î¤¿¤á¤Î¥Æ¥¥¹¥È¥Þ¥¤¥Ë¥ó¥°¥·¥¹¥Æ¥à RiverStone.
¸À¸ì½èÍý³Ø²ñÂè14²óǯ¼¡Âç²ñ, pp.600--603, 2008.
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- ´Ý¸µÁï»Ò, ÎëÌÚÂÙ»³, ÂçÄÍ͵»Ò, °Ëƣ͵Èþ, ´¥¹§»Ê, ±ü¼³Ø.
¶õ¹Á·×²è¤Ë¤ª¤±¤ëÂÐÏ÷¿°Õ¸«¼ý½¸¥·¥¹¥Æ¥à¤Î¼ÂÁõ¤È²ÝÂê.
¸À¸ì½èÍý³Ø²ñÂè14²óǯ¼¡Âç²ñ, pp.5--8, 2008.
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ÂÐÏ÷¿°Õ¸«¼ý½¸¥·¥¹¥Æ¥à¤Îɾ²ÁÊýË¡¤Î¸¡Æ¤.
¸À¸ì½èÍý³Ø²ñÂè14²óǯ¼¡Âç²ñ, pp.9--12, 2008.
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- ¶¶ËÜÂÙ°ì, ¼¾å¹À»Ê, ´¥¹§»Ê, Æâ³¤ÏÂÉ×, ÀÐÀîÀµÆ».
¼Ò²ñ²ÝÂêȯ¸«¤Î¤¿¤á¤Îʸ½ñ¥¯¥é¥¹¥¿¥ê¥ó¥°¤È¥¯¥é¥¹¥¿É¾²Á»ØÉ¸.
¾ðÊó½èÍý³Ø²ñ¼«Á³¸À¸ì½èÍý¸¦µæ²ñ(NL-186-8), pp.43--48, 2008.
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- ´¥¹§»Ê, ¼¾å¹À»Ê, ¶¶ËÜÂÙ°ì, Æâ³¤ÏÂÉ×, ÀÐÀîÀµÆ».
ʸ½ñ¤«¤é¤ÎÁÈ¿¥Ì¾Ãê½Ð¤Ë¤ª¤±¤ë¼½ñÍøÍÑ.
¾ðÊó½èÍý³Ø²ñ¼«Á³¸À¸ì½èÍý¸¦µæ²ñ(NL-182-9), pp.51--58, 2007.
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- ¼¾å¹À»Ê, ´¥¹§»Ê, ¶¶ËÜÂÙ°ì, Æâ³¤ÏÂÉ×, ÀÐÀîÀµÆ».
ÀìÌçÍѸìÃê½Ð¤Ë¤ª¤±¤ë½õ»ì¾ðÊó¤ÎÍøÍѤ˴ؤ¹¤ë°ì¹Í»¡.
¾ðÊó½èÍý³Ø²ñ¼«Á³¸À¸ì½èÍý¸¦µæ²ñ(NL-182-10), pp.59--66, 2007.
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- Æâ³¤ÏÂÉ×, ´¥¹§»Ê, ¼¾å¹À»Ê, ¶¶ËÜÂÙ°ì, ÀÐÀîÀµÆ».
Â絬Ìϥƥ¥¹¥È¥Þ¥¤¥Ë¥ó¥°¤Ë¤è¤ë°åÎÅʬÌî¤Î¼Ò²ñ²ÝÂꡦµ»½Ñ¥È¥ì¥ó¥ÉÃê½Ð.
¸¦µæ¡¦µ»½Ñ·×²è³Ø²ñÂè22²óǯ¼¡³Ø½ÑÂç²ñ, pp.684--687, 2007.
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- ¶¶ËÜÂÙ°ì, ¼¾å¹À»Ê, ´¥¹§»Ê, Æâ³¤ÏÂÉ×, ÀÐÀîÀµÆ».
¥â¥Ó¥ê¥Æ¥£¼Ò²ñ¤Î°ÂÁ´°Â¿´¤Ë´Ø¤ï¤ë¼Ò²ñ²ÝÂê¤ÎÐíâ×Ūɾ²Á.
²Ê³Øµ»½Ñ¼Ò²ñÏÀ³Ø²ñÂ裶²óǯ¼¡¸¦µæÂç²ñ, 2007.
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¶¦µ¯¸ì¤Ë´ð¤Å¤¤¤¿³¬ÁØ·¿Ê¸½ñ¥¯¥é¥¹¥¿¥ê¥ó¥°¼êË¡.
¾ðÊó½èÍý³Ø²ñ¾ðÊ󳨴ðÁø¦µæ²ñ(FI-87-3), pp.13--20, 2007.
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´Á»ú¾ðÊó¤òÍøÍѤ·¤¿É¾²Áɽ¸½¼½ñ¤Î³Èĥˡ.
¸À¸ì½èÍý³Ø²ñÂè13²óǯ¼¡Âç²ñ, pp.416--419, 2007.
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»Ô̱»²²è·¿Æ»Ï©·×²è¤Ë¤ª¤±¤ëÂÐÏûٱç.
¸À¸ì½èÍý³Ø²ñÂè13²óǯ¼¡Âç²ñ, pp.302--305, 2007.
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- ¼¾å¹À»Ê, ´¥¹§»Ê, ¶¶ËÜÂÙ°ì, ÀÐÀîÀµÆ».
¥Õ¥¡¥¸¥£¥¯¥é¥¹¥¿¥ê¥ó¥°¤òÍѤ¤¤¿³¬ÁØ·¿Ê¸½ñ¥¯¥é¥¹¥¿¥ê¥ó¥°.
¸À¸ì½èÍý³Ø²ñÂè13²óǯ¼¡Âç²ñ, pp.554--557, 2007.
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¼«Í³²óÅúÃæ¤ÎÍ×˾¤È¤½¤Îº¬µò¤ÎƱÄê.
¸À¸ì½èÍý³Ø²ñÂè13²óǯ¼¡Âç²ñ, pp.424--427, 2007.
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- µÈÅÄÆà±û, ´¥¹§»Ê, ¹â¼ÂçÌé, ±ü¼³Ø.
¼«Í³ÂÐÏäˤª¤±¤ë¶¦Ïø½¾Ý¤ÎʬÀÏ.
¸À¸ì½èÍý³Ø²ñÂè13²óǯ¼¡Âç²ñ, pp.318--321, 2007.
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- ´¥¹§»Ê, ¹â¼ÂçÌé, ±ü¼³Ø.
°ø²Ì´Ø·¸Ãμ±³ÍÆÀ¤Î¤¿¤á¤Î±£¤ìÊÑ¿ô¥â¥Ç¥ë.
¸À¸ì½èÍý³Ø²ñÂè12²óǯ¼¡Âç²ñ, pp.959--962, 2006.
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- ÌîϤÂÀ°ì, ´¥¹§»Ê, ¹â¼ÂçÌé, ±ü¼³Ø.
¥¤¥Ù¥ó¥È¤ÎÀ¸µ¯»þ´ÖÂÓȽÄê.
¸À¸ì½èÍý³Ø²ñÂè12²óǯ¼¡Âç²ñ, pp.837--840, 2006.
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- ¹â¼ÂçÌé, ´¥¹§»Ê, ±ü¼³Ø.
Ê£¿ô¸ì¤«¤é¤Ê¤ëɾ²Áɽ¸½¤Î¥â¥Ç¥ë²½.
¸À¸ì½èÍý³Ø²ñÂè12²óǯ¼¡Âç²ñ, pp.524--527, 2006.
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- »³ËÜ¿ð¼ù, ´¥¹§»Ê, ¹â¼ÂçÌé, ´Ý¸µÁï»Ò, ÂçÄÍ͵»Ò, ±ü¼³Ø.
ʸ¾Ï¹½Â¤¤ò¹Íθ¤·¤¿¼«Í³²óÅú°Õ¸«¤«¤é¤ÎÍ×˾Ãê½Ð.
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¥·¥ç¥Ã¥×¡Ö´¶¾ð¡¦É¾²Á¡¦ÂÖÅ٤ȸÀ¸ì¡×, 2006
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- ÌîϤÂÀ°ì, ´¥¹§»Ê, ¹â¼ÂçÌé, ±ü¼³Ø.
¥¤¥Ù¥ó¥È¤ÎÀ¸µ¯»þ´ÖÂÓȽÄê.
¾ðÊó½èÍý³Ø²ñ¼«Á³¸À¸ì½èÍý¸¦µæ²ñ(NL-170-2), pp.7--14, 2005.
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- ¹â¼ÂçÌé, ´¥¹§»Ê, ±ü¼³Ø.
¶ËÀȿž¤ËÂбþ¤·¤¿É¾²Áɽ¸½¥â¥Ç¥ë.
¾ðÊó½èÍý³Ø²ñ¼«Á³¸À¸ì½èÍý¸¦µæ²ñ(NL-168-22), pp.141--148, 2005.
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- ´¥¹§»Ê, ±ü¼³Ø.
ʸ½ñÆâ¤Ë¸½¤ì¤ë°ø²Ì´Ø·¸¤Î½Ð¸½ÆÃÀÄ´ºº.
¾ðÊó½èÍý³Ø²ñ¼«Á³¸À¸ì½èÍý¸¦µæ²ñ(NL-167-12), pp.81--88, 2005.
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- ¹â¼ÂçÌé, ´¥¹§»Ê, ±ü¼³Ø.
¥¹¥Ô¥ó¥â¥Ç¥ë¤Ë¤è¤ëñ¸ì¤Î´¶¾ð¶ËÀȽÄê.
¾ðÊó½èÍý³Ø²ñ¼«Á³¸À¸ì½èÍý¸¦µæ²ñ(NL-166-11), pp.79--86, 2005.
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- ¹â¼ÂçÌé, ´¥¹§»Ê, ±ü¼³Ø.
¥¹¥Ô¥ó¥â¥Ç¥ë¤Î´¶¾ð¾ðÊó½èÍý¤Ø¤Î±þÍÑ.
¸À¸ì½èÍý³Ø²ñÂè11²óǯ¼¡Âç²ñ, pp.648--651, 2005.
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- ´¥¹§»Ê, ±ü¼³Ø.
°ø²Ì´Ø·¸¥¿¥°ÉÕ¤¥³¡¼¥Ñ¥¹¤Î¹½ÃÛ¤ÈʬÀÏ.
¸À¸ì½èÍý³Ø²ñÂè11²óǯ¼¡Âç²ñ, pp.486--489, 2005.
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- ´¥¹§»Ê.
Creating an Annotated Corpus for the Analysis of Causal Relations.
Â絬ÌÏÃμ±»ñ¸»¥·¥ó¥Ý¥¸¥¦¥à, COE-LKR2005, 2005.
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- ´¥¹§»Ê, ´¥·òÂÀϺ, ¾¾ËÜ͵¼£.
½ÐÍè»ö¤Î˾¤Þ¤·¤µÈ½Äê¤òÌÜŪ¤È¤·¤¿¸ì×ÃÃμ±³ÍÆÀ.
¸À¸ì½èÍý³Ø²ñÂè10²óǯ¼¡Âç²ñ, pp.91--94, 2004.
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- ΩÀзòÆó, Ê¡Åç½Ó°ì, ¾®ÎӤΤ¾¤ß, ¾å½Ð¾¹Ô, ¹â¶¶Å¯Ï¯, ´¥¹§»Ê, Æ£ÅÄÆÆ, ´¥·òÂÀϺ, ¾¾ËÜ͵¼£.
Webʸ½ñ½¸¹ç¤«¤é¤Î°Õ¸«¾ðÊóÃê½Ð¤ÈÃå´ãÅÀ¤Ë´ð¤Å¤¯Í×ÌóÀ¸À®.
¸À¸ì½èÍý³Ø²ñÂè10²óǯ¼¡Âç²ñ, pp.644--647, 2004.
- ΩÀзòÆó, Ê¡Åç½Ó°ì, ¾®ÎӤΤ¾¤ß, ¾å½Ð¾¹Ô, ¹â¶¶Å¯Ï¯, ´¥¹§»Ê, Æ£ÅÄÆÆ, ´¥·òÂÀϺ, ¾¾ËÜ͵¼£.
Webʸ½ñ½¸¹ç¤«¤é¤Î°Õ¸«¾ðÊóÃê½Ð¤ÈÃå´ãÅÀ¤Ë´ð¤Å¤¯Í×ÌóÀ¸À®.
Âè66²ó¾ðÊó½èÍý³Ø²ñÁ´¹ñÂç²ñ, Â裳ʬºý, pp. 53--54, 2004.
- ´¥¹§»Ê, ´¥·òÂÀϺ, ¾¾ËÜ͵¼£.
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¸À¸ì½èÍý³Ø²ñÂè9²óǯ¼¡Âç²ñ, pp.707--710, 2003.
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- ´¥¹§»Ê, ´¥·òÂÀϺ, ¾¾ËÜ͵¼£.
Àܳ½õ»ì¡Ö¤¿¤á¡×¤ò´Þ¤àʣʸ¤«¤é°ø²Ì´Ø·¸Ã챤ò³ÍÆÀ¤¹¤ë.
¾ðÊó½èÍý³Ø²ñ¼«Á³¸À¸ì½èÍý¸¦µæ²ñ(NL-150-25), pp.171--178, 2002.
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- ¾®ÎӤΤ¾¤ß, ´¥¹§»Ê, ´¥·òÂÀϺ.
¸ì¼áʸ¤òÍøÍѤ·¤¿¡Öp/n¼½ñ¡×¤ÎºîÀ®.
¿Í¹©ÃÎǽ³Ø²ñ¸À¸ì¡¦²»À¼Íý²ò¤ÈÂÐÏýèÍý¸¦µæ²ñ(SLUD-33), pp.45--50, 2001.
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- ´¥¹§»Ê, ´¥·òÂÀϺ.
³Î¿®Å٤Ĥ°Ñ°÷²ñÊý¼°¤Ë¤è¤ëÉôʬ·¸¤ê¼õ¤±²òÀÏ.
¸À¸ì½èÍý³Ø²ñÂè6²óǯ¼¡Âç²ñ, pp.471--474, 2000.
- ´¥¹§»Ê, ´¥·òÂÀϺ.
³ÎΨŪ¤Ë°ìÈ̲½¤µ¤ì¤¿°Ñ°÷²ñÊý¼°¤Ë¤è¤ëÅý·×Ū¹½Ê¸²òÀÏ.
Âè9²óÅŻҾðÊóÄÌ¿®³Ø²ñ¶å½£»ÙÉô³ØÀ¸²ñ¹Ö±é²ñ, p.70, 2000.
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- ´¥¹§»Ê, ´¥·òÂÀϺ.
Åý·×ŪÉôʬ·¸¤ê¼õ¤±²òÀϤˤª¤±¤ë·¸¤ê¼õ¤±³ÎΨ¤ÎÍøÍÑË¡ ¡Ý¥³¡¼¥Ñ¥¹Ãæ¤Î¹½Ê¸¥¿¥°¸í¤ê¤Î¸¡½Ð ¡Ý.
¾ðÊó½èÍý³Ø²ñ¼«Á³¸À¸ì½èÍý¸¦µæ²ñ(NL-134-3), pp.15--22, 1999.
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- ´¥¹§»Ê, ´¥·òÂÀϺ.
Åý·×ŪÉôʬ¹½Ê¸²òÀÏ´ï¤Î¤Õ¤ë¤Þ¤¤¤Ë¤Ä¤¤¤Æ.
¸À¸ì½èÍý³Ø²ñÂè5²óǯ¼¡Âç²ñ¥ï¡¼¥¯¥·¥ç¥Ã¥×ͽ¹Æ½¸, pp.33-40, 1999.
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¤â¤É¤ë
Doctor's thesis
- Acquiring Causal Knowledge from Text Using Connective Markers,
Graduate School of Information Science, Nara Institute of Science and Technology,2004.
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