69 search results - page 2 / 14 » Analyzing Entities and Topics in News Articles Using Statist... |
SIGIR
2004
ACM
13 years 11 months ago
2004
ACM
In this paper we study the problem of finding most topical named entities among all entities in a document, which we refer to as focused named entity recognition. We show that th...
CIKM
2009
Springer
14 years 1 days ago
2009
Springer
We have studied the problem of linking event information across different languages without the use of translation systems or dictionaries. The linking is based on interlingua in...
IPM
2007
13 years 5 months ago
2007
The main purpose of topic detection and tracking (TDT) is to detect, group, and organize newspaper articles reporting on the same event. Since an event is a reported occurrence at...
ICMCS
2005
IEEE
13 years 11 months ago
2005
IEEE
This paper considers dynamic language model adaptation for Mandarin broadcast news recognition. Both contemporary newswire texts and in-domain automatic transcripts were exploited...
DEXAW
2010
IEEE
13 years 6 months ago
2010
IEEE
Abstract--Statistical approaches to document content modeling typically focus either on broad topics or on discourselevel subtopics of a text. We present an analysis of the perform...