WSDM‘2022: Knowledge Enhanced Sports Game Summarization

Related tags

Deep Learning nlp paper text-generation summarization paper-list wsdm2022 sports-game-summarization
Overview

Knowledge Enhanced Sports Game Summarization

Cooming Soon! :)

Data will be released after approval process.

Code will be published once the author of this repo has time.

Existing Works

Paper Conference/Journal Data/Code Category
Towards Constructing Sports News from Live Text Commentary ACL 2016 - Dataset, Ext.
Overview of the NLPCC-ICCPOL 2016 Shared Task: Sports News Generation from Live Webcast Scripts NLPCC 2016 NLPCC 2016 shared task Dataset
Research on Summary Sentences Extraction Oriented to Live Sports Text NLPCC 2016 - Ext.
Sports News Generation from Live Webcast Scripts Based on Rules and Templates NLPCC 2016 - Ext.+Temp.
Content Selection for Real-time Sports News Construction from Commentary Texts INLG 2017 - Ext.
Generate Football News from Live Webcast Scripts Based on Character-CNN with Five Strokes 2020 - Ext.+Temp.
Generating Sports News from Live Commentary: A Chinese Dataset for Sports Game Summarization AACL 2020 SportsSum Dataset, Ext.+Abs.
SportsSum2.0: Generating High-Quality Sports News from Live Text Commentary CIKM 2021 SportsSum2.0 Dataset, Ext.+Abs.
Knowledge Enhanced Sports Game Summarization WSDM 2022 K-SportsSum Dataset, Ext.+Abs.

The concepts used in Category are illustrated as follows:

  • Dataset: The work contributes a dataset for sports game summarization.
  • Ext.: Extractive sports game summarization method.
  • Ext.+Temp.: The method first extracts important commentary sentence and further utilize the human-labeled template to convey each commentary sentence to a news sentence.
  • Ext.+Abs.: The method first extracts important commentary sentence and further utilize the seq2seq model to convey each commentary sentence to the news sentence.
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Owner
Jiaan Wang
NLP Master Student. Research Intern at WeChat AI. Mainly interested in Text Summarization and Machine Reading Comprehension. ZD YYDS.
Jiaan Wang
GitHub https://arxiv.org/abs/2111.12535
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