Friday, 10 September 2010

Selected Papers at COLING'10

Summarization & Generation

C10-1074 [bib]: Fangtao Li; Chao Han; Minlie Huang; Xiaoyan Zhu; Ying-Ju Xia; Shu Zhang; Hao Yu
Structure-Aware Review Mining and Summarization

C10-1101 [bib]: Vahed Qazvinian; Dragomir R. Radev; Arzucan Ozgur
Citation Summarization Through Keyphrase Extraction

C10-1111 [bib]: Chao Shen; Tao Li
Multi-Document Summarization via the Minimum Dominating Set

Information Extraction

C10-1018 [bib]: Yee Seng Chan; Dan Roth
Exploiting Background Knowledge for Relation Extraction

C10-2058 [bib]: Heng Ji
Challenges from Information Extraction to Information Fusion

C10-2041 [bib]: Brian Harrington
A Semantic Network Approach to Measuring Relatedness

(http://www.aclweb.org/anthology/C/C10/)

Just fun about PhD study

The illustrated guide to a Ph.D.
http://matt.might.net/articles/phd-school-in-pictures/

10 easy ways to fail a Ph.D.

http://matt.might.net/articles/ways-to-fail-a-phd/

Friday, 3 September 2010

Just a note on email summarization

Imagine that we have a set of mailing lists (e.g. Dbworld, Corpora-List, Linguist, BioNLP, moses-support, so on). Each of such a mailing list actually contains a bulk of questions and answers given by domain experts or semi-experts. A couple of situations can be raised:
Situation 1: a new user raises a question which had already been partially or fully answered through one or more email threads of mailing list. Need a question answering system or summarizer in this context???
Situation 2: a new user wants to search a topic of interest. A retrieval system needed???
Situation 3: such a mailing list needs a classification of email threads???
Situation 4: TBA

Any suggestions?

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Cheers,
Vu

LingPipe - a toolkit for processing text using computational linguistics

http://alias-i.com/lingpipe/