Search Results for author: Lisa Bauer

Found 7 papers, 3 papers with code

Analyzing the Limits of Self-Supervision in Handling Bias in Language

no code implementations16 Dec 2021 Lisa Bauer, Karthik Gopalakrishnan, Spandana Gella, Yang Liu, Mohit Bansal, Dilek Hakkani-Tur

We define three broad classes of task descriptions for these tasks: statement, question, and completion, with numerous lexical variants within each class.

Identify, Align, and Integrate: Matching Knowledge Graphs to Commonsense Reasoning Tasks

1 code implementation EACL 2021 Lisa Bauer, Mohit Bansal

For knowledge integration to yield peak performance, it is critical to select a knowledge graph (KG) that is well-aligned with the given task's objective.

Knowledge Graphs

ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning

1 code implementation EMNLP 2021 Swarnadeep Saha, Prateek Yadav, Lisa Bauer, Mohit Bansal

Recent commonsense-reasoning tasks are typically discriminative in nature, where a model answers a multiple-choice question for a certain context.

Graph Generation Multiple-choice +1

Simple Compounded-Label Training for Fact Extraction and Verification

no code implementations WS 2020 Yixin Nie, Lisa Bauer, Mohit Bansal

Automatic fact checking is an important task motivated by the need for detecting and preventing the spread of misinformation across the web.

Fact Checking Misinformation +1

Commonsense for Generative Multi-Hop Question Answering Tasks

2 code implementations EMNLP 2018 Lisa Bauer, Yicheng Wang, Mohit Bansal

We instead focus on a more challenging multi-hop generative task (NarrativeQA), which requires the model to reason, gather, and synthesize disjoint pieces of information within the context to generate an answer.

Multi-hop Question Answering Question Answering +1

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