Exploring unsupervised textual representations generated by neural language models in the context of automatic tweet stream summarization-Reference-Cited by-同舟云学术

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Exploring unsupervised textual representations generated by neural language models in the context of automatic tweet stream summarization

Published:2023-09 Issue: Volume:37-38 Page:100272
ISSN:2468-6964
Container-title:Online Social Networks and Media
language:en
Short-container-title:Online Social Networks and Media

Author:

Dusart Alexis,Pinel-Sauvagnat Karen,Hubert Gilles

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Communication,Information Systems

Reference54 articles.

1. Multi-document summarization via deep learning techniques: A survey;Ma;ACM Comput. Surv.,2022

2. Text summarization with pretrained encoders;Liu,2019

3. An empirical survey of unsupervised text representation methods on Twitter data;Wang,2020

4. Siamese CBOW: optimizing word embeddings for sentence representations;Kenter,2016

5. Retrofitting word vectors to semantic lexicons;Faruqui,2015

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1. Enhancing Video Content Accessibility Through YouTube Transcript Summarization;Lecture Notes in Networks and Systems;2024

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