research
∙
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...
share
research
∙
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...
research
∙
11/23/2022
Agent-Specific Deontic Modality Detection in Legal Language
Legal documents are typically long and written in legalese, which makes ...
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
03/20/2022
Entailment Relation Aware Paraphrase Generation
We introduce a new task of entailment relation aware paraphrase generati...
research
∙
12/27/2021
What do Large Language Models Learn about Scripts?
Script Knowledge (Schank and Abelson, 1975) has long been recognized as ...
research
∙
06/02/2021
MedNLI Is Not Immune: Natural Language Inference Artifacts in the Clinical Domain
Crowdworker-constructed natural language inference (NLI) datasets have b...
research
∙
04/18/2021
Schema Curation via Causal Association Rule Mining
Event schemas are structured knowledge sources defining typical real-wor...
research
∙
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...
research
∙
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...
research
∙
04/02/2020
Causal Inference of Script Knowledge
When does a sequence of events define an everyday scenario and how can t...
research
∙
09/30/2019
The Universal Decompositional Semantics Dataset and Decomp Toolkit
We present the Universal Decompositional Semantics (UDS) dataset (v1.0),...
research
∙
03/25/2019
On Measuring Social Biases in Sentence Encoders
The Word Embedding Association Test shows that GloVe and word2vec word e...
research
∙
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...
research
∙
08/19/2018
Lexicosyntactic Inference in Neural Models
We investigate neural models' ability to capture lexicosyntactic inferen...
research
∙
05/02/2018
Hypothesis Only Baselines in Natural Language Inference
We propose a hypothesis only baseline for diagnosing Natural Language In...
research
∙
04/25/2018
Gender Bias in Coreference Resolution
We present an empirical study of gender bias in coreference resolution s...
research
∙
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...
research
∙
04/21/2018
Neural Davidsonian Semantic Proto-role Labeling
We present state-of-the-art results for semantic proto-role labeling (SP...
research
∙
04/06/2018
Neural models of factuality
We present two neural models for event factuality prediction, which yiel...
research
∙
11/02/2016
Ordinal Common-sense Inference
Humans have the capacity to draw common-sense inferences from natural la...
research
∙
10/08/2016
