I am a researcher in natural language processing that has a particular interest in argumentation.

Argument Reasoning

My research interests involve trying to determine implicit reasoning in texts. For example, in the image , one can see that the first segment in the argumentative relation, Sx is attacked by the second segment, Sy. If we analyze the text closer, we can determine that the primary reason the text is being attacked is

that Sx implictly states that the term excessive force is a bad thing, but Sy is implictly stating that it is a good thing, because it actually promotes less violation of the law, which can be considered a good thing. Overall, I aim to explore methodologies that allow us to capture that implicit reasoning so that computers can one day reason with humans.

Selected Publications

Below is a list of all my selected publications.

  1. Paul Reisert, Gisela Vallejo, Naoya Inoue, Iryna Gurevych, and Kentaro Inui. An Annotation Protocol for Collecting User-Generated Counter-Arguments using Crowdsourcing. To appear in Proceedings of the 20th International Conference on Artificial Intelligence in Education (AIED), pp. 232-236, June 2019.
  2. Paul Reisert, Naoya Inoue, Tatsuki Kuribayashi and Kentaro Inui. Feasible Annotation Scheme for Capturing Policy Argument Reasoning using Argument Templates. In Proceedings of The 5th Workshop on Argument Mining, pp.79-89, November 2018. Link
  3. Paul Reisert, Naoya Inoue, Naoaki Okazaki and Kentaro Inui. Identifying and Ranking Relevant Claims for Decision Support. International Journal of Computational Linguistics and Applications [Accepted: (see http://www.cicling.org/2017/accepted.html )].
  4. Paul Reisert, Naoya Inoue, Naoaki Okazaki and Kentaro Inui. Designing a Task for Recognizing Argumentation Logic in Argumentative Texts. International Journal of Computational Linguistics and Applications [Accepted: (see http://www.cicling.org/2017/accepted.html )].
  5. Paul Reisert, Naoya Inoue, Naoaki Okazaki and Kentaro Inui. A Computational Approach for Generating Toulmin Model Argumentation. In Proceedings of the 2nd Workshop on Argumentation Mining, pp.45–55, June 2015. Link

Other Publications

Below is a comprehensive list of all my publications.

  1. Farjana Sultana Mim, Naoya Inoue, Paul Reisert, Hiroki Ouchi and Kentaro Inui. Unsupervised Learning of Discourse-Aware Text Representation for Essay Scoring. To appear in Proceedings of the 2019 ACL Student Research Workshop (SRW), August 2019. paper
  2. Tatsuki Kuribayashi, Hiroki Ouchi, Naoya Inoue, Paul Reisert, Toshinori Miyoshi, Jun Suzuki and Kentaro Inui. An Empirical Study of Span Representations in Argumentation Structure Parsing. To appear in Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL), August 2019. paper
  3. Qin Dai, Naoya Inoue, Paul Reisert, Ryo Takahashi and Kentaro Inui. Distantly Supervised Biomedical Knowledge Acquisition via Knowledge Graph Based Attention. To appear in Proceedings of First Workshop on Extracting Structured Knowledge from Scientific Publications (ESSP), June 2019. paper
  4. Qin Dai, Naoya Inoue, Paul Reisert and Kentaro Inui. Improving Scientific Relation Classification with Task Specific Supersense. To appear in The 32nd Pacific Asia Conference on Language, Information and Computing (PACLIC 32). December 2018.
  5. Qin Dai, Naoya Inoue, Paul Reisert, and Kentaro Inui. Leveraging Unannotated Texts for Scientific Relation Extraction. To appear in IEICE Transactions on Information and Systems, Vol. E101-D, No. 12, pp.??, December 2018.
  6. Qin Dai, Naoya Inoue, Paul Reisert and Kentaro Inui. Scientific Knowledge Acquisition via the Interaction between Relation Extraction and Knowledge Graph Completion. In Proceedings of Third International Workshop on SCIentific DOCument Analysis (SCIDOCA), November 2018.
  7. Naoya Inoue, Paul Reisert, and Kentaro Inui. Exploring Crowdsourceable Annotation Protocol for Argumentation Schemes. To appear in IPSJ SIG Technical Reports. Vol.2017-NL-236, pp.1-6, July 2018.
  8. Tatsuki Kuribayashi, Paul Reisert, Naoya Inoue and Kentaro Inui. Towards Exploiting Argumentative Context for Argumentative Relation Identification. 言語処理学会第24回年次大会, pp.284-287, March 2018.
  9. Paul Reisert, Naoya Inoue. Towards Capturing Implicit Reasoning of Argumentative Texts. Informal Workshop on Argument Mining, January 2018.
  10. Tatsuki Kuribayashi, Paul Reisert, Naoya Inoue, Kentaro Inui. Examining Macro-level Argumentative Structure Features for Argumentative Relation Identification. 第4回自然言語処理シンポジウ ム・第234回自然言語処理研究会, 6pages, December 2017.
  11. Daiqin, Naoya Inoue, Paul Reisert, and Kentaro Inui. Leveraging Document-specific Information for Identifying Relations in Scientific Articles. In Proceedings of First International Workshop on SCIentific DOCument Analysis (SCIDOCA), November 2017. paper
  12. Paul Reisert, Naoya Inoue, Naoaki Okazaki, and Kentaro Inui. Towards Recognizing Logic in Argumentative Texts (Extended Abstract). First International Workshop on SCIentific DOCument Analysis (SCIDOCA), November 2016.
  13. Paul Reisert, Naoya Inoue, Naoaki Okazaki, Kentaro Inui. Deep Argumentative Structure Analysis as an Explanation to Argumentative Relations. In Proceedings of The 23rd Annual Meeting of the Association for Natural Language Processing, pp.38-41, March 2017.
  14. Paul Reisert, Naoya Inoue, Naoaki Okazaki, and Kentaro Inui. Towards Recognizing Logic in Argumentative Texts (Extended Abstract). First International Workshop on SCIentific DOCument Analysis (SCIDOCA), November 2016. Peer-reviewed.
  15. Paul Reisert, Naoya Inoue, Kentaro Inui, Toshihiko Yanase, Kohsuke Yanai. Computationalizing a Toulmin Model for Argumentation Generation. In Proceedings of The 21st Annual Meeting of the Association for Natural Language Processing, pp.828-831, March 2015.
  16. Toshihiko Yanase, Toshinori Miyoshi, Kohsuke Yanai, Misa Sato, Makoto Iwayama, Yoshiki Niwa, Paul Reisert and Kentaro Inui. Learning Sentence Ordering for Opinion Generation of Debate. In Proceedings of the 2nd Workshop on Argumentation Mining, pp.94-103. June 2015. Peer-reviewed.
  17. Paul Reisert, Naoya Inoue, Naoaki Okazaki, Kentaro Inui. Determining Argument Strength and Consistency using a Causality-based Knowledge Graph. 第10回NLP若手の会 シンポジウム, September 2015.
  18. 柳井 孝介 , 三好 利昇 , 柳瀬 利彦 , 佐藤 美沙 , 丹羽 芳樹, Reisert, P., 乾 健太郎:ディベート人工知能における意見生成,人工知能学会全国大会 論文集, 第 29 巻 , pp.1–3, 人工知能学会, 2015.
  19. Kohsuke Yanai, Toshinori Miyoshi, Toshihiko Yanase, Misa Sato, Yoshiki Niwa, Paul Reisert, Kentaro Inui. Argumentation Generation for Debating AI. The 29th Annual Conference of the Japanese Society for Artificial Intelligence, 2015.
  20. Paul Reisert, Junta Mizuno, Miwa Kanno, Naoaki Okazaki and Kentaro Inui. A Corpus Study for Identifying Evidence on Microblogs. In Proceedings of The 8th Linguistic Annotation Workshop (LAW VIII 2014), pp.70-74, August, 2014. Peer-reviewed.
  21. Eric Nichols, Paul Reisert. DGrep: A Pattern-matching Tool for Dependency Trees. In Proceedings of The 20th Annual Meeting of the Association for Natural Language Processing, pp.165-168, March 2014.
  22. Paul Reisert, Junta Mizuno, Miwa Kanno, Naoaki Okazaki, Kentaro Inui. An Investigation of Evidence Relations within Social Media Conversations. In Proceedings of The 20th Annual Meeting of the Association for Natural Language Processing, pp.686-689, March, 2014.

Miscellaneous

  1. Towards Improving Current Automatic Essay Scoring and Constructive Feedback Systems. Paul Reisert. Informal Workshop on Argumentation/Argument Mining. NII. November 2018. Slides
  2. Paul Reisert, Naoya Inoue. Towards Capturing Implicit Reasoning of Argumentative Texts. Informal Workshop on Argument Mining. January 2018.

Contact Me

If you would like to contact me, please use the following address: paul dot reisert at riken dot jp