Publications

Links: DBLP, Google Scholar, ACM, ACL, arXiv, Semantic Scholar, ORCID

International Conference Papers

  1. Taku Hasegawa, Kyosuke Nishida, Koki Maeda, Kuniko Saito, “DueT: Image-Text Contrastive Transfer Learning with Dual-adapter Tuning.”, in the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), to appear, December 2023.

  2. Kosuke Nishida, Naoki Yoshinaga, Kyosuke Nishida, “Sparse Neural Retrieval Model for Efficient Cross-Domain Retrieval-Based Question Answering”, in Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation (PACLIC 37), to appear, December 2023.

  3. Kosuke Nishida, Naoki Yoshinaga, Kyosuke Nishida, “Self-Adaptive Named Entity Recognition by Retrieving Unstructured Knowledge”, in Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2023), pp. 3193-3205, May 2023.

  4. Ryota Tanaka, Kyosuke Nishida, Kosuke Nishida, Taku Hasegawa, Itsumi Saito, Kuniko Saito, “SlideVQA: A Dataset for Document Visual Question Answering on Multiple Images”, in Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI 2023, 1721/8777=19.6%), pp. 13636-13645, February 2023. github

  5. Yasuhito Ohsugi, Itsumi Saito, Kyosuke Nishida and Sen Yoshida, “Japanese ASR-Robust Pre-trained Language Model with Pseudo-Error Sentences Generated by Grapheme-Phoneme Conversion”, in Proceedings of the 2022 Conference of the International Speech Communication Association (INTERSPEECH 2022), pp. 2688-2692, September 2022.

  6. Fumio Nihei, Ryo Ishii, Yukiko Nakano, Kyosuke Nishida, Ryo Masumura, Atsushi Fukayama and Takao Nakamura, “Dialogue Acts Aided Important Utterance Detection Based on multiparty and multimodal information”, in Proceedings of the 2022 Conference of the International Speech Communication Association (INTERSPEECH 2022), pp. 1086-1090, September 2022.

  7. Kosuke Nishida, Kyosuke Nishida, Shuichi Nishioka, “Improving Few-Shot Image Classification Using Machine- and User-Generated Natural Language Descriptions”, in Findings of the 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2022 findings), pp. 1421-1430, July 2022.

  8. Shumpei Miyawaki, Taku Hasegawa, Kyosuke Nishida, Takuma Kato, Jun Suzuki, “Scene-Text Aware Image and Text Retrieval with Dual-Encoder”, in Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop (ACL SRW 2022), pp. 422-433, May 2022.

  9. Kosuke Nishida, Kyosuke Nishida, Sen Yoshida, “Task-adaptive Pre-training of Language Models with Word Embedding Regularization”, in Findings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021; findings), pp. 4546-4553, August 2021.

  10. Kosuke Nishida, Kyosuke Nishida, Itsumi Saito, Sen Yoshida: “Towards Interpretable and Reliable Reading Comprehension: A Pipeline Model with Unanswerability Prediction”, in Proceddings of the 2021 International Joint Conference on Neural Networks (IJCNN 2021), pp. 1-8, July 2021.

  11. Ryota Tanaka(*), Kyosuke Nishida(*), Sen Yoshida, “VisualMRC: Machine Reading Comprehension on Document Images”, in Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI 2021), pp. 13878-13888, a Virtual Conference, February 2021. (*: equal contribution) (full paper, 1696/7911=21.4%)

  12. 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.

  13. 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.

  14. 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.

  15. 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.

  16. 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. (long paper, 660/2905=22.7%)

  17. 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. (long paper, 660/2905=22.7%)

  18. 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.

  19. 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.

  20. Kyosuke Nishida, Itsumi 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. (full paper, 147/862=17%)

  21. 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%)

  22. 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.

  23. 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.

  24. 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.

  25. 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

  26. 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%)

  27. 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%)

  28. 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%)

  29. Yuki Endo, Kyosuke Nishida, Hiroyuki 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%).

  30. 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%)

  31. 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.

  32. 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%)

  33. 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%)

  34. 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.

  35. Kyosuke Nishida, Hiroyuki Toda, Takeshi Kurashima, and Yoshihiko Suhara, “[Probabilistic Identification of Visited Point-of-Interest for Personalized Automatic Check-in]”(https://doi.org/10.1145/2632048.2632092), in Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2014), pp.631-642, Seattle, Washington, US, September 2014. (full paper, 71/454=15.6%)

  36. 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%)

  37. 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. (full paper, 98/483=20.2%)

  38. 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.

  39. 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.

  40. 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%)

  41. 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.

  42. 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.

  43. 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.

  44. 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.

  45. 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.

  46. 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.

  47. 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.

  48. 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.

  49. 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

International Journal Papers

  1. Yuki Saito, Taiki Nakamura, Yusuke Ijima, Kyosuke Nishida, Shinnosuke Takamichi, “Non-parallel and many-to-many voice conversion using variational autoencoders integrating speech recognition and speaker verification”, Acoustical Science and Technology, Vol. 42, No. 1, pp. 1-11, January 2021.

  2. Jun Suzuki, Yoshihiko Suhara, Hiroyuki Toda, Kyosuke Nishida, “Personalized Visited-POI Assignment to Individual Raw GPS Trajectories”, ACM Transactions on Spatial Algorithms and Systems, Volume 5 Issue 3, Article No. 16, September 2019.

  3. Takuya Nishimura, Kyosuke Nishida, Hiroyuki Toda, and Hiroshi Sawada, “Social Media Knows What Road It Is: Quantifying Road Characteristics with Geotagged Posts”, Social Network Analysis and Mining, Vol. 7, No. 1, pp. 57:1-57:20, November 2017.

  4. Yuki Endo, Hiroyuki Toda, Kyosuke Nishida, and Jotaro Ikedo, “Classifying Spatial Trajectories Using Representation Learning,” International Journal of Data Science and Analytics, pp.1-11, December 2016.

  5. Jun Ito, Kyosuke Nishida, Takahide Hoshide, Hiroyuki Toda, and Tadasu Uchiyama, “[Demographic and Psychographic Estimation of Twitter Users Using Social Structures],” Online Social Media Analysis and Visualization, Lecture Notes in Social Netowrks, pp. 27-46, January 2015.

  6. Kyosuke Nishida, Koichiro Yamauchi, and Takashi Omori, “An On-line Learning Algorithm with Dimension Selection using Minimal Hyper Basis Function Networks,” Systems and Computers in Japan, Vol. 37, No. 11, pp. 11-21, October 2006.

Preprints

  1. Tsuyoshi Baba, Kosuke Nishida, Kyosuke Nishida, “Robust Text-driven Image Editing Method that Adaptively Explores Directions in Latent Spaces of StyleGAN and CLIP, arXiv, 2304.00964, April 2023.

  2. Ryota Tanaka, Kyosuke Nishida, Kosuke Nishida, Taku Hasegawa, Itsumi Saito, Kuniko Saito, “SlideVQA: A Dataset for Document Visual Question Answering on Multiple Images”, arXiv, 2301.04883, January 2023.

  3. Kosuke Nishida, Naoki Yoshinaga, Kyosuke Nishida, “Self-Adaptive Named Entity Recognition by Retrieving Unstructured Knowledge”, arXiv, 2210.07523, October 2022.

  4. Kosuke Nishida, Kyosuke Nishida, Shuichi Nishioka, “Improving Few-Shot Image Classification Using Machine- and User-Generated Natural Language Descriptions”, arXiv, 2207.03133, July 2022.

  5. Kosuke Nishida, Kyosuke Nishida, Itsumi Saito, Sen Yoshida, “Towards Interpretable and Reliable Reading Comprehension: A Pipeline Model with Unanswerability Prediction”, arXiv, 2111.09029, November 2021.

  6. Kosuke Nishida, Kyosuke Nishida, Sen Yoshida, “Task-adaptive Pre-training of Language Models with Word Embedding Regularization”, arXiv, 2109.08354, September 2021.

  7. Ryota Tanaka(*), Kyosuke Nishida(*), Sen Yoshida, “VisualMRC: Machine Reading Comprehension on Document Images”, arXiv, 2101.11272, Jan 2021. (*: equal contributions)

  8. Yuma Koizumi, Ryo Masumura, Kyosuke Nishida, Masahiro Yasuda, Shoichiro Saito, “A Transformer-based Audio Captioning Model with Keyword Estimation”, arXiv, 2007.00222, July 2020.

  9. Itsumi Saito, Kyosuke Nishida, Kosuke Nishida, Junji Tomita, “Abstractive Summarization with Combination of Pre-trained Sequence-to-Sequence and Saliency Models”, arXiv, 2003.13028, March 2020.

  10. Itsumi Saito, Kyosuke Nishida, Kosuke Nishida, Atsushi Otsuka, Hisako Asano, Junji Tomita, Hiroyuki Shindo, Yuji Matsumoto, “Length-controllable Abstractive Summarization by Guiding with Summary Prototype”, arXiv, 2001.07331, January 2020

  11. Kosuke Nishida, Kyosuke Nishida, Itsumi Saito, Hisako Asano and Junji Tomita, “Unsupervised Domain Adaptation of Language Models for Reading Comprehension”, arXiv, 1911.10768, November 2019.

  12. Yasuhito Ohsugi, Itsumi Saito, Kyosuke Nishida, Hisako Asano, Junji Tomita, “A Simple but Effective Method to Incorporate Multi-turn Context with BERT for Conversational Machine Comprehension”, arXiv, 1905.12848, May 2019.

  13. 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”, arXiv, 1905.08511, May 2019.

  14. Jun Suzuki, Yoshihiko Suhara, Hiroyuki Toda, Kyosuke Nishida, “Personalized Visited-POI Assignment to Individual Raw GPS Trajectories”, arXiv, 1901.06257, January 2019.

  15. Kyosuke Nishida, Itsumi Saito, Kosuke Nishida, Kazutoshi Shinoda, Atsushi Otsuka, Hisako Asano, Junji Tomita, “Multi-style Generative Reading Comprehension”, arXiv, 1901.02262, January 2019.

  16. Kyosuke Nishida, Itsumi Saito, Atsushi Otsuka, Hisako Asano, Junji Tomita, “Retrieve-and-Read: Multi-task Learning of Information Retrieval and Reading Comprehension”, arXiv, 1808.10628, August 2018.

Others

  1. Kyosuke Nishida, Takeshi Kurashima, Noboru Miyazaki, Hiroyuki Toda, and Shuichi Nishioka, “Thought-processing Technology for Understanding, Reproducing, and Extending Human Thinking Ability”, NTT Technical Journal, Vol.19, No.12, December 2021

  2. Kyosuke Nishida, Kuniko Saito, Tetsuo Amakasu, Kazuyuki Iso, and Shuichi Nishioka, “Knowledge and Language-processing Technology that Supports and Substitutes Customer-contact Work”, NTT Technical Journal, Vol.18, No.12, December 2020.

  3. Kyosuke Nishida, Itsumi Saito, Atsushi Otsuka, Kosuke Nishida, Narichika Nomoto, and Hisako Asano, “Toward Natural Language Understanding by Machine Reading Comprehension”, NTT Technical Journal, Vol.17, No.9, September 2019.

  4. Hisako Asano, Katsuji Bessho, Kugatsu Sadamitsu, Kyosuke Nishida, and Kuniko Saito, “Natural Language Processing Technology for Agent Services”, NTT Technical Journal, Vol.15, No.8, August 2017.