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05/25/2023
Diversity-Aware Coherence Loss for Improving Neural Topic Models
The standard approach for neural topic modeling uses a variational autoe...
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09/18/2022
Improving Topic Segmentation by Injecting Discourse Dependencies
Recent neural supervised topic segmentation models achieve distinguished...
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12/12/2021
Predicting Above-Sentence Discourse Structure using Distant Supervision from Topic Segmentation
RST-style discourse parsing plays a vital role in many NLP tasks, reveal...
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06/12/2021
Improving Unsupervised Dialogue Topic Segmentation with Utterance-Pair Coherence Scoring
Dialogue topic segmentation is critical in several dialogue modeling pro...
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05/29/2021
Demoting the Lead Bias in News Summarization via Alternating Adversarial Learning
In news articles the lead bias is a common phenomenon that usually domin...
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10/07/2020
Improving Context Modeling in Neural Topic Segmentation
Topic segmentation is critical in key NLP tasks and recent works favor h...
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02/24/2020
Multilingual Twitter Corpus and Baselines for Evaluating Demographic Bias in Hate Speech Recognition
Existing research on fairness evaluation of document classification mode...
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09/08/2019
