Paper Info
Title
Coreference Resolution on Blogs and Commented News
Abstract
We focus on automatic coreference resolution for blogs and news articles with user comments as part of a project on opinion mining. We aim to study the effect of the genre shift from edited, structured newspaper text to unedited, unstructured blog data. We compare our coreference resolution system on three data sets: newspaper articles, mixed newspaper articles and reader comments, and blog data. As can be expected the performance of the automatic coreference resolution system drops drastically when tested on unedited text. We describe the characteristics of the different data sets and we examine the typical errors made by the resolution system.
Year
DOI
Venue
2009
10.1007/978-3-642-04975-0_4
DAARC
Keywords
DocType
Volume
blog data,mixed newspaper article,different data set,automatic coreference resolution system,resolution system,automatic coreference resolution,newspaper article,unstructured blog data,coreference resolution system,coreference resolution,commented news,machine learning,opinion mining
Conference
5847
ISSN
Citations 
PageRank 
0302-9743
4
0.47
References 
Authors
17
2
Name
Order
Citations
PageRank
Iris Hendrickx128530.91
Veronique Hoste213816.92