Hang Cui | Web IR NLP Group @ NUS

Soft pattern matching models for definitional question answering

Sun, 01 Apr 2007 00:00:00 +0000

Extending corpus-based identification of light verb constructions using a supervised learning framework

Sun, 01 Jan 2006 00:00:00 +0000

Generic soft pattern models for definitional question answering

Sat, 01 Jan 2005 00:00:00 +0000

Question answering passage retrieval using dependency relations

Sat, 01 Jan 2005 00:00:00 +0000

Light Verb Constructions

Sat, 01 May 2004 00:00:00 +0000

Project Duration: May 2004 - July 2005.

A light verb construction (LVC) is a verb–complement pair in which the verb has little lexical meaning and much of the semantic content of the construction is obtained from the complement. Examples of LVCs are “make a decision” and “give a presentation”, and these pose challenges for natural language processing and understanding. In this project, we investigate methods to identify LVCs from a corpus, as well as recognizing linguistic features of LVCs.

Unsupervised learning of soft patterns for generating definitions from online news

Thu, 01 Jan 2004 00:00:00 +0000

Definition Question Answering

Fri, 01 Aug 2003 00:00:00 +0000

Joint work with PRIS group led by Prof. Tat-Seng Chua

We explore advanced techniques in definition question answering: soft pattern matching, and boosting of IR recall and precision of extended definition sentences using external web resources and historical query logs. We also explore the construction of fluent definitions using sentence understanding and re-synthesis.

Project Deliverables (excluding publications)

DefSearch: definition searcher demonstration, based on work in TREC 2003 and a paper in WWW 2004.
JavaRAP: Lappin and Leass' pronominal anaphora resolution program, implemented as a Java program. Freely downloadable and installable. Published in LREC 2004.
Processed Gigaword and AQUAINT corpora. Fully POS tagged and parsed versions of two commonly-used corpora used in TREC research.
Processed DUC corpus. Canonicalized versions of the 2001-2004 corpus for internal research.