Sciweavers

Free Online Productivity Tools i2Speak i2Symbol i2OCR iTex2Img iWeb2Print iWeb2Shot i2Type iPdf2Split iPdf2Merge i2Bopomofo i2Arabic i2Style i2Image i2PDF iLatex2Rtf Sci2ools

29

Voted

ANLP
1997

favoriteEmaildiscussreport

96views more ANLP 1997»

Identifying Topics by Position

14 years 9 days ago

Identifying Topics by Position

Download acl.ldc.upenn.edu

This paper addresses the problem of identifying likely topics of texts by their position in the text. It describes the automated training and evaluation of an Optimal Position Policy, a method of locating the likely positions of topic-bearing sentences based on genre-specific regularities of discourse structure. This method can be used in applications such as information retrieval, routing, and text summarization.

Chin-Yew Lin, Eduard H. Hovy

Real-time Traffic

ANLP 1997 | Genre-specific Regularities | Likely Topics | Optimal Position Policy |

claim paper

Related Content

» Whats with the Attitude Identifying Sentences with Attitude in Online Discussions

» Creation of topic map by identifying topic chain in chinese

» Identifying HealthRelated Topics on Twitter An Exploration of TobaccoRelated Tweets as a ...

» Bilingual topic aspect classification with a few training examples

» Identifying SentenceLevel Semantic Content Units with Topic Models

» Searching Questions by Identifying Question Topic and Question Focus

» The Impact of Positive Negative and Topical Relevance Feedback

» Vectorbased Ranking Techniques for Identifying the Topical Anchors of a Context

» Terminological Variation a Means of Identifying Research Topics from Texts

Post Info
More Details (n/a)

Added	01 Nov 2010
Updated	01 Nov 2010
Type	Conference
Year	1997
Where	ANLP
Authors	Chin-Yew Lin, Eduard H. Hovy

Comments (0)