1 code implementation • WS 2019 • Takumi Ito, Tatsuki Kuribayashi, Hayato Kobayashi, Ana Brassard, Masato Hagiwara, Jun Suzuki, Kentaro Inui
The writing process consists of several stages such as drafting, revising, editing, and proofreading.
1 code implementation • LREC 2022 • Ana Brassard, Benjamin Heinzerling, Pride Kavumba, Kentaro Inui
We present Semi-Structured Explanations for COPA (COPA-SSE), a new crowdsourced dataset of 9, 747 semi-structured, English common sense explanations for Choice of Plausible Alternatives (COPA) questions.
1 code implementation • 2 Aug 2023 • Yunmeng Li, Jun Suzuki, Makoto Morishita, Kaori Abe, Ryoko Tokuhisa, Ana Brassard, Kentaro Inui
In this paper, we describe the development of a communication support system that detects erroneous translations to facilitate crosslingual communications due to the limitations of current machine chat translation methods.
1 code implementation • 23 May 2022 • Tatsuki Kuribayashi, Yohei Oseki, Ana Brassard, Kentaro Inui
Language models (LMs) have been used in cognitive modeling as well as engineering studies -- they compute information-theoretic complexity metrics that simulate humans' cognitive load during reading.
1 code implementation • 15 Feb 2023 • Keito Kudo, Yoichi Aoki, Tatsuki Kuribayashi, Ana Brassard, Masashi Yoshikawa, Keisuke Sakaguchi, Kentaro Inui
Compositionality is a pivotal property of symbolic reasoning.
no code implementations • SEMEVAL 2018 • Ana Brassard, Tin Kuculo, Filip Boltu{\v{z}}i{\'c}, Jan {\v{S}}najder
This paper describes our system for the SemEval-2018 Task 12: Argument Reasoning Comprehension Task.
no code implementations • NAACL 2021 • Pride Kavumba, Benjamin Heinzerling, Ana Brassard, Kentaro Inui
Here, we propose to explicitly learn a model that does well on both the easy test set with superficial cues and hard test set without superficial cues.
1 code implementation • 16 Feb 2023 • Yoichi Aoki, Keito Kudo, Tatsuki Kuribayashi, Ana Brassard, Masashi Yoshikawa, Keisuke Sakaguchi, Kentaro Inui
Neural reasoning accuracy improves when generating intermediate reasoning steps.
no code implementations • EACL 2023 • Pride Kavumba, Ana Brassard, Benjamin Heinzerling, Kentaro Inui
Explanation prompts ask language models to not only assign a particular label to a giveninput, such as true, entailment, or contradiction in the case of natural language inference but also to generate a free-text explanation that supports this label.
Ranked #1 on Natural Language Inference on ANLI test