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DEXAW
2010
IEEE
202views Database» more  DEXAW 2010»
13 years 6 months ago
Identifying Sentence-Level Semantic Content Units with Topic Models
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...
Leonhard Hennig, Thomas Strecker, Sascha Narr, Ern...
ACL
2008
13 years 6 months ago
Searching Questions by Identifying Question Topic and Question Focus
This paper is concerned with the problem of question search. In question search, given a question as query, we are to return questions semantically equivalent or close to the quer...
Huizhong Duan, Yunbo Cao, Chin-Yew Lin, Yong Yu
TREC
2008
13 years 6 months ago
The Impact of Positive, Negative and Topical Relevance Feedback
Abstract This document contains a description of experiments for the 2008 Relevance Feedback track. We experiment with different amounts of feedback, including negative relevance f...
Rianne Kaptein, Jaap Kamps, Djoerd Hiemstra
COMAD
2009
13 years 6 months ago
Vector-based Ranking Techniques for Identifying the Topical Anchors of a Context
Terms in textual documents tend to occur more in contexts to which they are related. We can exploit this bias by modelling terms and their cooccurrences s, resembling the abstract...
Aditya Ramana Rachakonda, Srinath Srinivasa
ACL
1998
13 years 6 months ago
Terminological Variation, a Means of Identifying Research Topics from Texts
After extracting terms from a corpus of titles and s in English, syntactic variation relations are identified amongst them in order to detect research topics. Three types of synta...
Fidelia Ibekwe-Sanjuan