1 code implementation • EMNLP (ArgMining) 2021 • Keshav Singh, Farjana Sultana Mim, Naoya Inoue, Shoichi Naito, Kentaro Inui
Annotation of implicit reasoning (i. e., warrant) in arguments is a critical resource to train models in gaining deeper understanding and correct interpretation of arguments.
1 code implementation • LREC 2022 • Keshav Singh, Naoya Inoue, Farjana Sultana Mim, Shoichi Naito, Kentaro Inui
To solve this problem, we hypothesize that as human reasoning is guided by innate collection of domain-specific knowledge, it might be beneficial to create such a domain-specific corpus for machines.
no code implementations • LREC 2022 • Farjana Sultana Mim, Naoya Inoue, Shoichi Naito, Keshav Singh, Kentaro Inui
Attacking is not always straightforward and often comprise complex rhetorical moves such that arguers might agree with a logic of an argument while attacking another logic.
1 code implementation • LREC 2022 • Shoichi Naito, Shintaro Sawada, Chihiro Nakagawa, Naoya Inoue, Kenshi Yamaguchi, Iori Shimizu, Farjana Sultana Mim, Keshav Singh, Kentaro Inui
In this paper, we define three criteria that a template set should satisfy: expressiveness, informativeness, and uniqueness, and verify the feasibility of creating a template set that satisfies these criteria as a first trial.
no code implementations • 26 Oct 2021 • Keshav Singh, Naoya Inoue, Farjana Sultana Mim, Shoichi Naitoh, Kentaro Inui
Most of the existing work that focus on the identification of implicit knowledge in arguments generally represent implicit knowledge in the form of commonsense or factual knowledge.
no code implementations • 5 Jun 2021 • Aditya Jolly, Sudip Biswas, Keshav Singh
Integrating intelligent reflecting surface (IRS) and Rate-Splitting Multiple Access (RSMA) is an effective solution to improve the spectral/energy efficiency in next-generation (beyond 5G (B5G) and 6G) wireless networks.
1 code implementation • 28 Apr 2021 • Hasan Albinsaid, Keshav Singh, Ankur Bansal, Sudip Biswas, Chih-Peng Li, Zygmunt J. Haas
Intelligent reflecting surface (IRS) is being considered as a prospective candidate for next-generation wireless communication due to its ability to significantly improve coverage and spectral efficiency by controlling the propagation environment.
no code implementations • 16 Apr 2021 • Keshav Singh, Paul Reisert, Naoya Inoue, Kentaro Inui
We construct a preliminary dataset of 6, 000 warrants annotated over 600 arguments for 3 debatable topics.
2 code implementations • 8 Aug 2020 • Hasan Albinsaid, Keshav Singh, Sudip Biswas, Chih-Peng Li, Mohamed-Slim Alouini
However, signal detection due to inter-channel interference among the active antennas is a challenge in GSM systems and is the focus of this letter.
no code implementations • WS 2019 • Keshav Singh, Paul Reisert, Naoya Inoue, Pride Kavumba, Kentaro Inui
Recognizing the implicit link between a claim and a piece of evidence (i. e. warrant) is the key to improving the performance of evidence detection.
no code implementations • WS 2019 • Pride Kavumba, Naoya Inoue, Benjamin Heinzerling, Keshav Singh, Paul Reisert, Kentaro Inui
Pretrained language models, such as BERT and RoBERTa, have shown large improvements in the commonsense reasoning benchmark COPA.