Publications‎ > ‎

International Conference Papers

  • Natural Language Processing: ACL 2019, CIKM 2018, AAAI 2017, (LREC 2020), (ACL 2019), (CoNLL 2018), (IJCNLP 2017 x3)
  • Spatial Data Mining: UbiComp 2014, (PAKDD 2017, 2016), (ASONAM 2016)
  • Web & Social Media Mining SIGIR 2012, CIKM 2010, (ASONAM 2013)
  • Speech Processing: (INTERSPEECH 2020) (ASRU 2019) (ICASSP 2018)
  1. Diana Galvan-Sosa, Jun Suzuki, Kyosuke Nishida, Koji Matsuda and Kentaro Inui: Seeing the world through text: Evaluating image descriptions for commonsense reasoning in machine reading comprehension, in Proceedings of the Second Workshop on Beyond Vision and LANguage: inTEgrating Real-world kNowledge (LANTERN 2020; in conjunction with COLING 2020), December 2020.
  2. Yuma Koizumi, Ryo Masumura, Kyosuke Nishida, Masahiro Yasuda and Shoichiro Saito, "A Transformer-based Audio Captioning Model with Keyword Estimation", in Proceedings of the 21st Annual Conference of the International Speech Communication Association (INTERSPEECH 2020), October 2020. [arxiv
  3. Kosuke Nishida, Kyosuke Nishida, Itsumi Saito, Hisako Asano and Junji Tomita, "Unsupervised Domain Adaptation of Language Models for Reading Comprehension", in Proceedings of the 12th International Conference on Language Resources and Evaluation (LREC 2020), pp. 5392-5399, May 2020. [arxiv]
  4. Ryo Masumura, Mana Ihori, Tomohiro Tanaka, Itsumi Saito, Kyosuke Nishida, and Takanobu Oba, "Generalized Large-Context Language Models based on Forward-Backward Hierarchical Encoder-Decoder Models", in Proceedings of the 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU 2019), pp.554-561, December 2019. 
  5. Kyosuke Nishida, Itsumi Saito, Kosuke Nishida, Kazutoshi Shinoda, Atsushi Otsuka, Hisako Asano and Junji Tomita, "Multi-style Generative Reading Comprehension", in Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), pp.2273-2284, July 2019. [arXiv(long paper, 660/2905=22.7%)
  6. Kosuke Nishida, Kyosuke Nishida, Masaaki Nagata, Itsumi Saito, Atushi Otuka, Hisako Asano and Junji Tomita, "Answering while Summarizing: Multi-task Learning for Multi-hop QA with Evidence Extraction", in Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), pp.2273-2284, 2335-2345, July 2019. [arXiv(long paper, 660/2905=22.7%)
  7. Yasuhito Ohsugi, Itsumi Saito, Kyosuke Nishida, Hisako Asano, and Junji Tomita, "A Simple but Effective Method to Incorporate Multi-turn Context with BERT for Conversational Machine Comprehension",  in Proceedings of 1st Workshop on NLP for Conversational AI (NLP4ConvAI 2019; in conjunction with ACL 2019), Florence, Italy, July 2019. [arXiv]
  8. Atsushi Otsuka, Kyosuke Nishida, Itsumi Saito, Hisako Asano and Junji Tomita, "Specific Question Generation for Reading Comprehension", in Proceedings of the AAAI 2019 Reasoning for Complex QA (RCQA) Workshop, Honolulu, Hawaii, USA, January 2019.
  9. Kyosuke NishidaItsumi Saito, Atsushi Otsuka, Hisako Asano, and Junji Tomita, "Retrieve-and-Read: Multi-task Learning of Information Retrieval and Reading Comprehension", in Proceedings of the 27th ACM International Conference on Information and Knowledge Management (CIKM 2018), pp. 647-656, Lingotto, Turin, Italy, October 2018. [arXiv] (full paper, 147/862=17%) 
  10. Itsumi Saito, Kyosuke Nishida, Hisako Asano, and Junji Tomita, "Commonsense Knowledge Base Completion and Generation",  in Proceedings of the 2018 SIGNLL Conference on Computational Natural Language Learning (CoNLL 2018), pp. 141-150, Brussels, Belgium, October 2018. (long paper, 20.65%)
  11. Kosuke Nishida, Kyosuke Nishida, Hisako Asano, and Junji Tomita, "Natural Language Inference with Definition Embedding Considering Context On the Fly",  in Proceedings of 3rd Workshop on Representation Learning for NLP (RepL4NLP 2018; in conjuction with ACL 2018), pp. 58-63, Melbourne, Australia, July 2018.
  12. Ryo Ishii, Ryuichiro Higashinaka, Kyosuke Nishida, Taichi Katayama, Nozomi Kobayashi, and Junji Tomita, "Automatically Generating Head Nods with Linguistic Information", in Proceedings of the 20th International Conference on Human-Computer Interaction (HCI International 2018), pp.383-391, Las Vegas, Nevada, July 2018.
  13. Atsushi Otsuka, Kyosuke Nishida, Katsuji Bessho, Hisako Asano, and Junji Tomita, "Query Expansion with Neural Question-to-Answer for FAQ-based Question Answering", in Proceedings of First International Workshop on Hybrid Question Answering with Structured and Unstructured Knowledge (HQA 2018; in conjuction with WWW 2018), pp.1063-1068, Lyon, France, April 2018.
  14. Yuki Saito, Yusuke Ijima, Kyosuke Nishida, and Shinnosuke Takamichi, "Non-parallel voice conversion using variational autoencoders conditioned by phonetic posteriorgrams and d-vectors," in Proceedings of 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2018), Calgary, Canada, April 2018. 2018年度C&C若手優秀論文賞
  15. Ryo Masumura, Taichi Asami, Hirokazu Masataki, Kugatsu Sadamitsu, Kyosuke Nishida and Ryuichiro Higashinaka, "Hyperspherical Query Likelihood Models with Word Embeddings", in Proceedings of the 8th International Joint Conference of Natural Language Processing (IJCNLP 2017), pp. 210-216, Taiwan, November 2017. (short paper, 31.3%)
  16. Itsumi Saito, Jun Suzuki, Kyosuke Nishida, Kugatsu Sadamitsu, Satoshi Kobashikawa, Ryo Masumura, Hiroharu Matsumoto and Junji Tomita, "Improving Neural Text Normalization with Data Augmentation at Character- and Morphological Levels", in Proceedings of the 8th International Joint Conference of Natural Language Processing (IJCNLP 2017), pp. 257-262, Taiwan, November 2017. (short paper, 31.3%)
  17. Itsumi Saito, Kyosuke Nishida, Kugatsu Sadamitsu, Kuniko Saito and Junji Tomita, "Automatically Extracting Variant-Normalization Pairs for Japanese Text Normalization", in Proceedings of the 8th International Joint Conference of Natural Language Processing (IJCNLP 2017), pp. 937-946, Taiwan, November 2017. (long paper, 30.6%)
  18. Yuki EndoKyosuke NishidaHiroyuki Toda, and Hiroshi Sawada, "Predicting Destinations from Partial Trajectories Using Recurrent Neural Network," in Proceedings of the 21st Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2017), pp. 160-172, Korea, May 2017. (full paper, 28%). 
  19. Kyosuke Nishida, Kugatsu Sadamitsu, Ryuichiro Higashinaka, and Yoshinori Matsuo, "Understanding the Semantic Structures of Tables with a Hybrid Deep Neural Network Architecture, " in Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI 2017), pp.168-174, San Francisco, CA, February 2017. (full paper,  638/2590=24.6%)
  20. Yukinori Homma, Kugatsu Sadamitsu, Kyosuke Nishida, Ryuichiro Higashinaka, Hisako Asano, and Yoshihiro Matsuo, "A Hierarchical Neural Network for Information Extraction of Product Attribute and Condition Sentences", in Proceedings of the Open Knowledge Base and Question Answering Workshop (OKBQA 2016; in conjunction with COLING), pp. 21-29, Osaka, Japan, December 2016.
  21. Takuya Nishimura, Kyosuke Nishida, Hiroyuki Toda, and Hiroshi Sawada, "How Fashionable is Each Street?: Quantifying Road Characteristics using Social Media," in Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2016), pp. 429-436, San Francisco, CA, August 2016. (full paper, 13.6%)
  22. Yuki Endo, Hiroyuki Toda, Kyosuke Nishida, and Akihisa Kawanobe, "Deep Feature Extraction from Trajectories For Transportation Mode Estimation," in Proceedings of the 20th Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2016), pp. 54-66, New Zealand, April 2016. (long oral presentation, 12.7%)
  23. Kyosuke Nishida, Hiroyuki Toda, and Yoshimasa Koike, "Extracting Arbitrary-shaped Stay Regions from Geospatial Trajectories with Outliers and Missing Points," in Proceedings of the 8th ACM SIGSPATIAL International Workshop on Computational Transportation Science (IWCTS 2015), pp.1-6, Seattle, Washington, US, November 2015.
  24. Kyosuke Nishida, Hiroyuki Toda, Takeshi Kurashima, and Yoshihiko Suhara, "Probabilistic Identification of Visited Point-of-Interest for Personalized Automatic Check-in," in Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2014), pp.631-642, Seattle, Washington, US, September 2014. [pdf] (full paper, 71/454=15.6%)
  25. Jun Ito, Kyosuke Nishida, Takahide Hoshide, Hiroyuki Toda and Tadasu Uchiyama, "What is he/she like?: Estimating Twitter User Attributes from the Contents and Social Neighbors," in Proceedings of the 2013 IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM 2013), pp. 1448-1450, Niagara Falls, Canada, August 2013. (short paper, 28%)
  26. Kyosuke Nishida, Takahide Hoshide, and Ko Fujimura, "Improving Tweet Stream Classification by Detecting Changes in Word Probability," in Proceedings of the 35th international ACM SIGIR conference on Research and development in Information Retrieval (SIGIR 2012), pp. 971-980, Portland, Oregon, August 2012. [pdf(full paper, 98/483=20.2%)
  27. Kyosuke Nishida, Ryohei Banno, Ko Fujimura, and Takahide Hoshide, "Tweet Classification by Data Compression," in Proceedings of the 2011 international workshop on DETecting and Exploiting Cultural diversiTy on the social web (DETECT 2011, in conjunction with ACM CIKM), pp. 29-34, Glasgow, UK, October 2011.
  28. Yutaka Kabutoya, Kyosuke Nishida, and Ko Fujimura, "Dynamic Network Motifs: Evolutionary Patterns of Substructures in Complex Networks," in Proceedings of the 13th Asia-Pacific Web Conference (APWeb 2011), Lecture Notes in Computer Science, Vol. 6612, pp. 321-326, Beijing, China, April 2011.
  29. Kyosuke Nishida and Ko Fujimura, "Hierarchical Auto-Tagging: Organizing Q&A Knowledge for Everyone," in Proceedings of the 19th ACM International Conference on Information and Knowledge Management (CIKM 2010), pp. 1657-1660, Toronto, Canada, October 2010. (short paper, (126(full)+165(short))/945=30.8%)
  30. Kyosuke Nishida and Koichiro Yamauchi, "Learning, Detecting, Understanding, and Predicting Concept Changes," in Proceedings of the 2009 International Joint Conference on Neural Networks (IJCNN 2009), pp. 283-290, Atlanta, USA, June 2009.
  31. Kyosuke Nishida, Shohei Shimada, Satoru Ishikawa, and Koichiro Yamauchi, "Detecting Sudden Concept Drift with Knowledge of Human Behavior," in Proceedings of the 2008 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2008), pp. 3261-3267, Singapore, October 2008.
  32. Youhei Tadeuchi, Ryuji Oshima, Kyosuke Nishida, Koichiro Yamauchi, and Takashi Omori, "Quick online feature selection method for Regression -A feature selection method inspired by Human behaviors-," in Proceedings of the 2007 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2007), pp. 1895-1900, Montreal, Canada, October 2007.
  33. Kyosuke Nishida and Koichiro Yamauchi, "Detecting Concept Drift using Statistical Testing," in Proceedings of the tenth International Conference on Discovery Science (DS-2007), Lecture Notes in Artificial Intelligence, Vol. 4755, pp. 264-269, Sendai, Japan, October 2007.
  34. Kyosuke Nishida and Koichiro Yamauchi, "Adaptive Classifiers-Ensemble System for Tracking Concept Drift," in Proceedings of the sixth International Conference on Machine Learning and Cybernetics (ICMLC 2007), pp. 3607-3612, Hong Kong, China, August 2007.
  35. Kyosuke Nishida, Koichiro Yamauchi, and Takashi Omori, "ACE: Adaptive Classifiers-Ensemble System for Concept-Drifting Environments," in Proceedings of the sixth International Workshop on Multiple Classifier Systems (MCS 2005), Lecture Notes in Computer Science, Vol. 3541, pp. 176-185, California, USA, June 2005. [Implementation available in LibEDM]
  36. Kyosuke Nishida, Koichiro Yamauchi, and Takashi Omori, "An On-line Learning Algorithm with Dimension Selection using Minimal Hyper Basis Function Networks," in Proceedings of the 11th International Conference on Neural Information Processing (ICONIP 2004), Lecture Notes in Computer Science, Vol. 3316, pp. 502-507, Calcutta, India, November 2004.
  37. Kyosuke Nishida, Koichiro Yamauchi, and Takashi Omori, "An on-line learning algorithm with dimension selection using minimal hyper basis function networks," in Proceedings of the SICE Annual Conference 2004, ISBN: 4-907764-22-7, pp. 2610-2615, Sapporo, Japan, August 2004.
  38. Koichiro Yamauchi, Ryuji Oshima, Kyosuke Nishida, and Takashi Omori, "Quick Variable Selection and Learning with Gamble," in Proceedings of the second International Symposium on Emergent Mechanisms of Communication in the Brain (IEMC 2004), p. 70, Awaji, Japan, March 2004