Evaluation Framework for Understanding Sensitive Attribute Association Bias in Latent Factor Recommendation Algorithms

no code implementations • 30 Oct 2023 • Lex Beattie, Isabel Corpus, Lucy H. Lin, Praveen Ravichandran

Attribute association bias (AAB) occurs when sensitive attributes become semantically captured or entangled in the trained recommendation latent space.

Attribute Recommendation Systems +1

Parsing with Multilingual BERT, a Small Corpus, and a Small Treebank

1 code implementation • Findings of the Association for Computational Linguistics 2020 • Ethan C. Chau, Lucy H. Lin, Noah A. Smith

Pretrained multilingual contextual representations have shown great success, but due to the limits of their pretraining data, their benefits do not apply equally to all language varieties.

Dependency Parsing

Situating Sentence Embedders with Nearest Neighbor Overlap

no code implementations • ICLR 2020 • Lucy H. Lin, Noah A. Smith

As distributed approaches to natural language semantics have developed and diversified, embedders for linguistic units larger than words have come to play an increasingly important role.

Sentence

Improving Natural Language Inference with a Pretrained Parser

1 code implementation • 18 Sep 2019 • Deric Pang, Lucy H. Lin, Noah A. Smith

We introduce a novel approach to incorporate syntax into natural language inference (NLI) models.

Natural Language Inference

Semantic Matching Against a Corpus: New Applications and Methods

no code implementations • 28 Aug 2018 • Lucy H. Lin, Scott Miles, Noah A. Smith

We consider the case of a domain expert who wishes to explore the extent to which a particular idea is expressed in a text collection.