Search Results for author: Ana Brassard

Found 9 papers, 6 papers with code

Learning to Learn to be Right for the Right Reasons

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.

Meta-Learning

COPA-SSE: Semi-structured Explanations for Commonsense Reasoning

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.

Common Sense Reasoning Knowledge Graphs

Context Limitations Make Neural Language Models More Human-Like

1 code implementation23 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.

Prompting for explanations improves Adversarial NLI. Is this true? {Yes} it is {true} because {it weakens superficial cues}

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.

Natural Language Inference

Chat Translation Error Detection for Assisting Cross-lingual Communications

1 code implementation2 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.

Translation

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