Li, Qi and He, Daqing
(2011)
Finding Support Documents with a Logistic Regression Approach.
In: the First International Workshop on Entity-Oriented Search (EOS), a workshop of ACM SIGIR 2011, 28 July 2011 - 28 July 2011, Beijing China.
Abstract
Entity retrieval finds the relevant results for a user’s information needs at a finer unit called “entity”. To retrieve such entity, people usually first locate a small set of support documents which contain answer entities, and then further detect the answer entities in this set. In the literature, people view the support documents as relevant documents, and their findings as a conventional document retrieval problem. In this paper, we will state that finding support documents and that of relevant documents, although sounds similar, have important differences. Further, we propose a logistic regression approach to find support documents. Our experiment results show that the logistic regression method performs significantly better than a baseline system that treat the support document finding as a conventional document retrieval problem.
Share
Citation/Export: |
|
Social Networking: |
|
Details
Item Type: |
Conference or Workshop Item
(Paper)
|
Status: |
Published |
Creators/Authors: |
|
Date: |
28 July 2011 |
Date Type: |
Publication |
Access Restriction: |
No restriction; Release the ETD for access worldwide immediately. |
Publisher: |
ACM |
Event Title: |
the First International Workshop on Entity-Oriented Search (EOS), a workshop of ACM SIGIR 2011 |
Event Dates: |
28 July 2011 - 28 July 2011 |
Event Type: |
Conference |
Institution: |
University of Pittsburgh |
Schools and Programs: |
School of Information Sciences > Information Science |
Refereed: |
Yes |
Date Deposited: |
22 Jun 2012 15:40 |
Last Modified: |
06 Sep 2019 13:58 |
URI: |
http://d-scholarship.pitt.edu/id/eprint/12472 |
Metrics
Monthly Views for the past 3 years
Plum Analytics
Actions (login required)
|
View Item |