Automatic Alignment of News Texts and Their Multi-document Summaries: Comparison among Methods
نویسندگان
چکیده
Aligning texts and their multi-document summaries is the task of determining the correspondences among textual segments in the texts and in their corresponding summaries. The study of alignments allows a better understanding of the multi-document summarization process, which may subsidize new summarization models for producing more informative summaries. In this paper, we investigate some approaches for text-summary sentence alignment, including superficial, deep and hybrid approaches. Our results show that superficial approaches may obtain very good results.
منابع مشابه
Alignment-Based Sentence Position Policy in a News Corpus for Multi-document Summarization
This paper presents an empirical investigation of sentence position relevance in a corpus of news texts for generating abstractive multi-document summaries. Differently from previous work, we propose to use text-summary alignment information to compute sentence relevance.
متن کاملMulti-document multilingual summarization and evaluation tracks in ACL 2013 MultiLing Workshop
The MultiLing 2013 Workshop of ACL 2013 posed a multi-lingual, multidocument summarization task to the summarization community, aiming to quantify and measure the performance of multi-lingual, multi-document summarization systems across languages. The task was to create a 240–250 word summary from 10 news articles, describing a given topic. The texts of each topic were provided in 10 languages ...
متن کاملTAC2011 MultiLing Pilot Overview
The Text Analysis Conference MultiLing Pilot of 2011 posed a multi-lingual summarization task to the summarization community, aiming to quantify and measure the performance of multi-lingual, multi-document summarization systems. The task was to create a 240–250 word summary from 10 news texts, describing a given topic. The texts of each topic were provided in seven languages (Arabic, Czech, Eng...
متن کاملDo Summaries Help? A Task-Based Evaluation of Multi-Document Summarization
We describe a task-based evaluation to determine whether multi-document summaries measurably improve user performance when using online news browsing systems for directed research. We evaluated the multi-document summaries generated by Newsblaster, a robust news browsing system that clusters online news articles and summarizes multiple articles on each event. Four groups of subjects were asked ...
متن کاملAutomatic Summarization from Multiple Documents (Extended Abstract)
Since the late 50’s and Luhn [Luh58] the information community has expressed its interest in summarizing texts. The domains of application of such methodologies are countless, ranging from news summarization [WL03, BM05, ROWBG05] to scientific article summarization [TM02] and meeting summarization [NPDP05, ELH03]. Summarization has been defined as a reductive transformation of a given set of te...
متن کامل