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STRASS: A Light and Effective Method for Extractive Summarization Based
  on Sentence Embeddings

STRASS: A Light and Effective Method for Extractive Summarization Based on Sentence Embeddings

16 July 2019
Léo Bouscarrat
Antoine Bonnefoy
Thomas Peel
Cecile Pereira
    AILaw
ArXivPDFHTML

Papers citing "STRASS: A Light and Effective Method for Extractive Summarization Based on Sentence Embeddings"

3 / 3 papers shown
Title
Modular Sentence Encoders: Separating Language Specialization from
  Cross-Lingual Alignment
Modular Sentence Encoders: Separating Language Specialization from Cross-Lingual Alignment
Yongxin Huang
Kexin Wang
Goran Glavavs
Iryna Gurevych
46
0
0
20 Jul 2024
SummEval: Re-evaluating Summarization Evaluation
SummEval: Re-evaluating Summarization Evaluation
Alexander R. Fabbri
Wojciech Kry'sciñski
Bryan McCann
Caiming Xiong
R. Socher
Dragomir R. Radev
HILM
38
690
0
24 Jul 2020
SummaRuNNer: A Recurrent Neural Network based Sequence Model for
  Extractive Summarization of Documents
SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents
Ramesh Nallapati
Feifei Zhai
Bowen Zhou
207
1,255
0
14 Nov 2016
1