TAC 2009 Update Summarization Task of WUST
نویسندگان
چکیده
The TAC 2009 update summarization task is to generate not more than 100-words fluent summaries for the given document sets of newswire articles. The newswire articles are relevance to the same event topic, stated by title and narrative If we take the background information of the topic into consideration according to the topic statement, it will help to understand the content of the news articles document set comprehensively and accurately. In our system, we introduce the Wikipedia article, related to the topic, to provide such background information. The experiment results show that it can make encouraging improvement comparing to the run not taking Wikipedia article into consideration.
منابع مشابه
Description of the LIPN Systems at TAC2009
The Text Analysis Conferences (TAC) offer a unique occasion to show innovative approaches to text summarization. As a first incursion into this new research area, LIPN participated in the Update Summarization task of TAC 2008. The LIPN wanted to improve the results obtained during TAC 2008 and to confirm that the changes made to its summarization system really enhanced the quality of the automa...
متن کاملTAC 2009 Update Summarization of ICL
For the update summarization task of TAC 2009, we submitted two runs using two different methods. The first one is manifold ranking method, which models all sentences as a graph. The topic description is deemed as the only labeled node and assigned with an initial score, then the scores of all the sentences in the documents are learned by spreading the initial score on the graph. The second met...
متن کاملThe NTNU Summarization System at TAC 2009
In this paper, we presents the results obtained by using a probabilistic summarization framework for the TAC 2009 update summarization task, which has the merits of combining the sentence generative probability and the sentence prior probability for sentence ranking systematically. Especially, each sentence of a document to be summarized is treated as a probabilistic generative model for predic...
متن کاملSentence Position revisited: A robust light-weight Update Summarization baseline Algorithm
In this paper, we describe a sentence position based summarizer that is built based on a sentence position policy, created from the evaluation testbed of recent summarization tasks at Document Understanding Conferences (DUC). We show that the summarizer thus built is able to outperform most systems participating in task focused summarization evaluations at Text Analysis Conferences (TAC) 2008. ...
متن کاملPolyU at TAC 2009
PolyU has participated in both the two tasks in the TAC 2009 summarization track, including the update summarization task and the automatically evaluating summaries of peers (AESOP) task. The update summarization task is to generate short fluent multi-document summaries of news articles. For each topic, a topic statement and two chronologically ordered newswire document sets are given. The task...
متن کامل