Published August 14, 2023 | Version v.1.0.0
Software Open

Ighina/NSE-TopicSegmentation: NSE-TopicSegmentation

Authors/Creators

  • 1. Queen Mary University of London

Description

Code for the paper "Comparing neural sentence encoders for topic segmentation across domains: not your typical text similarity task" and the paper "Lessons Learnt from Linear Text Segmentation: a Fair Comparison of Architectural and Sentence Encoding Strategies for Successful Segmentation".

Files

Ighina/NSE-TopicSegmentation-v.1.0.0.zip

Files (177.0 kB)

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Additional details

Related works

Is supplement to
https://github.com/Ighina/NSE-TopicSegmentation/tree/v.1.0.0 (URL)