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Software . 2023
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Software . 2023
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Ighina/NSE-TopicSegmentation: NSE-TopicSegmentation

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 14 Aug 2023Publisher:Zenodo
Authors: Iacopo Ghinassi;
Code repository: https://github.com/Ighina/NSE-TopicSegmentation/tree/v.1.0.0

doi: 10.5281/zenodo.8245922 , 10.5281/zenodo.8245923

Ighina/NSE-TopicSegmentation: NSE-TopicSegmentation

Abstract

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".

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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