LIA-iSmart at the TREC 2011 Entity Track: Entity List Completion Using Contextual Unsupervised Scores for Candidate Entities Ranking

نویسندگان

  • Ludovic Bonnefoy
  • Patrice Bellot
چکیده

This paper describes our participation in the Entity List Completion (ELC) task at Entity track 2011. Our approach combined the work done for the Related Entity Finding 2010 task with some new criteria as the proximity or the similarity between a candidate answer with the correct answers given as examples or their cooccurrences.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

LIA-iSmart at TREC 2010: An Unsupervised Web-Based Approach for Filtering Answers

Searching for named entities has been the subject of many researches in information retrieval. Our goal in participating in TREC 2010 Entity Ranking track is to look for reconizing any named entity in arbitrary categories and use this to rank candidate named entities. We propose to address the issue by means of a web oriented language modeling approach.

متن کامل

PRIS at TREC 2011 Entity Track: Related Entity Finding and Entity List Completion

The group of PRIS focuses on both tasks in Entity Track this year, Related Entity Finding (REF) and Entity List Completion (ELC). This paper reports the approaches to the two tasks. In REF, three points are improved based the method of last two year: building entity lexicons including more information, introducing a distance algorithm between keywords and entities to entity ranking, allocating ...

متن کامل

Une approche non supervisée pour le typage et la validation d'une réponse à une question en langage naturel : application à la tâche Entity de TREC 2010

Searching for named entities has been the subject of many researches in information retrieval. In this paper, we seek to determine whether a named entity is of a given type and in what extent it is. We propose to address this issue by an unsupervised web oriented language modeling approach. In addition, we want to determine if this new information can be used to improve the ranking of candidate...

متن کامل

ICTNET at Entity Track TREC 2010

This paper gives an overview of our work for related entity finding which is proposed in TREC 2010 Entity Track. The goal of the Entity Track is to find the entities relevant to a given query from the web corpus. In this paper, we propose a bipartite graph reinforcement model for entity ranking. As is well known, the entities on the web are embedded not only in the natural language text, but al...

متن کامل

NiCT at TREC 2009: Employing Three Models for Entity Ranking Track

This paper describes experiments carried out at NiCT for the TREC 2009 Entity Ranking track. Our main study is to develop an effective approach to rank entities via measuring the “similarities” between supporting snippets of entities and input query. Three models are implemented to this end. 1) The DLM regards entity ranking as a task of calculating the probabilities of generating input query g...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2011