5 citations · 6 across the 2 of their papers we have counts for
3 papers
cs.CL2020★ 5 cited
Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers
Hanjie Chen, Yangfeng Ji
To build an interpretable neural text classifier, most of the prior work has focused on designing inherently interpretable models or finding faithful explanations. A new line of wo…
cs.CL2020★ 1 cited
Finding Friends and Flipping Frenemies: Automatic Paraphrase Dataset Augmentation Using Graph Theory
Hannah Chen, Yangfeng Ji, David Evans
Most NLP datasets are manually labeled, so suffer from inconsistent labeling or limited size. We propose methods for automatically improving datasets by viewing them as graphs with…
cs.CL2020
A Tale of Two Linkings: Dynamically Gating between Schema Linking and Structural Linking for Text-to-SQL Parsing
Sanxing Chen, Aidan San, Xiaodong Liu +1
In Text-to-SQL semantic parsing, selecting the correct entities (tables and columns) for the generated SQL query is both crucial and challenging; the parser is required to connect…