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06/18/2023
Summarization from Leaderboards to Practice: Choosing A Representation Backbone and Ensuring Robustness
Academic literature does not give much guidance on how to build the best...
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11/24/2021
Temporal Effects on Pre-trained Models for Language Processing Tasks
Keeping the performance of language technologies optimal as time passes ...
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02/06/2021
From Toxicity in Online Comments to Incivility in American News: Proceed with Caution
The ability to quantify incivility online, in news and in congressional ...
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10/23/2020
Large Scale Knowledge Graph Based Synthetic Corpus Generation for Knowledge-Enhanced Language Model Pre-training
Generating natural sentences from Knowledge Graph (KG) triples, known as...
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04/09/2020
Interpretability Analysis for Named Entity Recognition to Understand System Predictions and How They Can Improve
Named Entity Recognition systems achieve remarkable performance on domai...
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04/08/2020
Entity-Switched Datasets: An Approach to Auditing the In-Domain Robustness of Named Entity Recognition Models
Named entity recognition systems perform well on standard datasets compr...
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04/07/2020
Entity Linking via Dual and Cross-Attention Encoders
Entity Linking has two main open areas of research: 1) generate candidat...
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05/19/2019
Predicting Annotation Difficulty to Improve Task Routing and Model Performance for Biomedical Information Extraction
Modern NLP systems require high-quality annotated data. In specialized d...
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10/26/2018