INEX Tweet Contextualization task: Evaluation, results and lesson learned

作者：

Highlights：

• A full summary report on the four-year long Tweet Contextualization task.

• A detail on evaluation metrics and framework we developed for tweet contextualization evaluation.

• A deep analysis of what the participants suggested in their approaches by categorizing the various methods.

• A description of the data made available to the community.

摘要

•A full summary report on the four-year long Tweet Contextualization task.•A detail on evaluation metrics and framework we developed for tweet contextualization evaluation.•A deep analysis of what the participants suggested in their approaches by categorizing the various methods.•A description of the data made available to the community.

论文关键词：Short text contextualization,Tweet contextualization,Tweet understanding,Automatic summarization,Contextual information retrieval,Question answering,Focus information retrieval,Natural language processing,Wikipedia,Text readability,Text informativeness,Textual references,Kullback–Leibler divergence

论文评审过程：Received 3 September 2015, Revised 28 January 2016, Accepted 7 March 2016, Available online 26 April 2016, Version of Record 22 July 2016.

论文官网地址：https://doi.org/10.1016/j.ipm.2016.03.002