1 citations · 3 across the 6 of their papers we have counts for
17 papers
Agent-Specific Deontic Modality Detection in Legal Language
Abhilasha Sancheti, Aparna Garimella, Balaji Vasan Srinivasan +1
Legal documents are typically long and written in legalese, which makes it particularly difficult for laypeople to understand their rights and duties. While natural language unders…
Partial-input baselines show that NLI models can ignore context, but they don't
Neha Srikanth, Rachel Rudinger
When strong partial-input baselines reveal artifacts in crowdsourced NLI datasets, the performance of full-input models trained on such datasets is often dismissed as reliance on s…
Entailment Relation Aware Paraphrase Generation
Abhilasha Sancheti, Balaji Vasan Srinivasan, Rachel Rudinger
We introduce a new task of entailment relation aware paraphrase generation which aims at generating a paraphrase conforming to a given entailment relation (e.g. equivalent, forward…
MedNLI Is Not Immune: Natural Language Inference Artifacts in the Clinical Domain
Christine Herlihy, Rachel Rudinger
Crowdworker-constructed natural language inference (NLI) datasets have been found to contain statistical artifacts associated with the annotation process that allow hypothesis-only…
Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision
Faeze Brahman, Vered Shwartz, Rachel Rudinger +1
The black-box nature of neural models has motivated a line of research that aims to generate natural language rationales to explain why a model made certain predictions. Such ratio…
Causal Inference of Script Knowledge
Noah Weber, Rachel Rudinger, Benjamin Van Durme
When does a sequence of events define an everyday scenario and how can this knowledge be induced from text? Prior works in inducing such scripts have relied on, in one form or anot…