Rachel Rudinger | DeepAI

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∙ 05/26/2023

Nichelle and Nancy: The Influence of Demographic Attributes and Tokenization Length on First Name Biases

Through the use of first name substitution experiments, prior research h...

0 Haozhe An, et al. ∙

∙ 12/19/2022

What to Read in a Contract? Party-Specific Summarization of Important Obligations, Entitlements, and Prohibitions in Legal Documents

Legal contracts, such as employment or lease agreements, are important d...

0 Abhilasha Sancheti, et al. ∙

∙ 11/23/2022

Agent-Specific Deontic Modality Detection in Legal Language

Legal documents are typically long and written in legalese, which makes ...

0 Abhilasha Sancheti, et al. ∙

∙ 10/13/2022

SODAPOP: Open-Ended Discovery of Social Biases in Social Commonsense Reasoning Models

A common limitation of diagnostic tests for detecting social biases in N...

4 Haozhe An, et al. ∙

∙ 06/23/2022

Theory-Grounded Measurement of U.S. Social Stereotypes in English Language Models

NLP models trained on text have been shown to reproduce human stereotype...

0 Yang Trista Cao, et al. ∙

∙ 05/24/2022

Partial-input baselines show that NLI models can ignore context, but they don't

When strong partial-input baselines reveal artifacts in crowdsourced NLI...

0 Neha Srikanth, et al. ∙

∙ 03/20/2022

Entailment Relation Aware Paraphrase Generation

We introduce a new task of entailment relation aware paraphrase generati...

0 Abhilasha Sancheti, et al. ∙

∙ 12/27/2021

What do Large Language Models Learn about Scripts?

Script Knowledge (Schank and Abelson, 1975) has long been recognized as ...

0 Abhilasha Sancheti, et al. ∙

∙ 06/02/2021

MedNLI Is Not Immune: Natural Language Inference Artifacts in the Clinical Domain

Crowdworker-constructed natural language inference (NLI) datasets have b...

0 Christine Herlihy, et al. ∙

∙ 04/18/2021

Schema Curation via Causal Association Rule Mining

Event schemas are structured knowledge sources defining typical real-wor...

0 Noah Weber, et al. ∙

∙ 12/14/2020

Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision

The black-box nature of neural models has motivated a line of research t...

0 Faeze Brahman, et al. ∙

∙ 04/06/2020

"You are grounded!": Latent Name Artifacts in Pre-trained Language Models

Pre-trained language models (LMs) may perpetuate biases originating in t...

0 Vered Shwartz, et al. ∙

∙ 04/02/2020

Causal Inference of Script Knowledge

When does a sequence of events define an everyday scenario and how can t...

0 Noah Weber, et al. ∙

∙ 09/30/2019

The Universal Decompositional Semantics Dataset and Decomp Toolkit

We present the Universal Decompositional Semantics (UDS) dataset (v1.0),...

0 Aaron Steven White, et al. ∙

∙ 03/25/2019

On Measuring Social Biases in Sentence Encoders

The Word Embedding Association Test shows that GloVe and word2vec word e...

0 Chandler May, et al. ∙

∙ 01/11/2019

ParaBank: Monolingual Bitext Generation and Sentential Paraphrasing via Lexically-constrained Neural Machine Translation

We present ParaBank, a large-scale English paraphrase dataset that surpa...

0 J. Edward Hu, et al. ∙

∙ 08/19/2018

Lexicosyntactic Inference in Neural Models

We investigate neural models' ability to capture lexicosyntactic inferen...

0 Aaron Steven White, et al. ∙

∙ 05/02/2018

Hypothesis Only Baselines in Natural Language Inference

We propose a hypothesis only baseline for diagnosing Natural Language In...

0 Adam Poliak, et al. ∙

∙ 04/25/2018

Gender Bias in Coreference Resolution

We present an empirical study of gender bias in coreference resolution s...

0 Rachel Rudinger, et al. ∙

∙ 04/23/2018

Towards a Unified Natural Language Inference Framework to Evaluate Sentence Representations

We present a large scale unified natural language inference (NLI) datase...

0 Adam Poliak, et al. ∙

∙ 04/21/2018

Neural Davidsonian Semantic Proto-role Labeling

We present state-of-the-art results for semantic proto-role labeling (SP...

0 Rachel Rudinger, et al. ∙

∙ 04/06/2018

Neural models of factuality

We present two neural models for event factuality prediction, which yiel...

0 Rachel Rudinger, et al. ∙

∙ 11/02/2016

Ordinal Common-sense Inference

Humans have the capacity to draw common-sense inferences from natural la...

0 Sheng Zhang, et al. ∙

∙ 10/08/2016

Computational linking theory

A linking theory explains how verbs' semantic arguments are mapped to th...

0 Aaron Steven White, et al. ∙