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01/24/2023
The Semantic Scholar Open Data Platform
The volume of scientific output is creating an urgent need for automated...
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09/21/2021
Fairness-aware Class Imbalanced Learning
Class imbalance is a common challenge in many NLP tasks, and has clear c...
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09/21/2021
Evaluating Debiasing Techniques for Intersectional Biases
Bias is pervasive in NLP models, motivating the development of automatic...
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03/12/2021
S2AND: A Benchmark and Evaluation System for Author Name Disambiguation
Author Name Disambiguation (AND) is the task of resolving which author m...
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11/18/2019
Drug Repurposing for Cancer: An NLP Approach to Identify Low-Cost Therapies
More than 200 generic drugs approved by the U.S. Food and Drug Administr...
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08/31/2019
Deep Ordinal Regression for Pledge Specificity Prediction
Many pledges are made in the course of an election campaign, forming imp...
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05/20/2019
Target Based Speech Act Classification in Political Campaign Text
We study pragmatics in political campaign text, through analysis of spee...
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05/17/2018
Content-based Popularity Prediction of Online Petitions Using a Deep Regression Model
Online petitions are a cost-effective way for citizens to collectively e...
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05/08/2018