Research at CLAIR

Research in CLAIR focuses on natural language processing, information retrieval, and network analysis.

For downloadable resources, click here.

For online demos, click here.

For publications, click here.

Major current projects

The mega-project: clairlib
Protein interaction extraction from text: GIN ProtInter
Graph-based semi-supervised learning: Tumbl
Lexical networks and lexical centrality: LexRank LexRankMead Lexical networks
Text summarization: MEAD NewsInEssence Resources CSTBank SUMMBANK
Analyzing political speech: Topic Identification Identifying Central Speakers
Analysis of the Blogosphere: BlogoCenter
Analysis of Web search engine query logs: Query Log Analysis
Citation network analysis: ACL Anthology Network
Summarizing scientific papers: iOpener

Other interests

Dependency parsing
Information extraction
Text summarization
Fact extraction from the Web
Question answering: NSIR
Syntax-based machine translation
Paraphrasing and textual entailment
Syntax-based alignment
Evolutionary models of news topics
Modeling entity burstiness