Text summarization

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CLAIR Computational Linguistics And Information
Retrieval
Faculty Dragomir Radev Students Günes Erkan,
Arzucan Özgür, Xiaodong Shi, Zhuoran Chen Mark
Joseph, Konstantin Zak, Tony Fader, Joshua Gerrish

• Text summarization
• MEAD
• NewsInEssence
• Cross-document structure
• Sentence compression
• Lexrank
• Political science
• Discourse dynamics
• Centrality identification
• Information retrieval
• Blog databases
• Question answering
• Fact extraction

• Machine learning
• Graph-based learning
• Semi-supervised learning
• Harmonic functions
• Monte Carlo methods
• Information extraction
• Language modeling
• Modeling burstiness
• Biomedical literature analysis
• Citation network analysis
• Recognizing protein interactions in text
• Clustering

• Machine translation
• Syntax-based alignment
• Text generation
• Syntax-based features
• Models of the Web
• Lexical network models
• Miscellaneous
• Language reuse
• Paraphrase identification
• Lexical models of the Web
• Dependency parsing

Courses Information Retrieval (SI 650) Fall
05 Advanced NLP/IR (EECS 767/SI 767) Winter
06 Natural Language Processing (EECS 595/SI
661) Fall 06 Language and Information (EECS
597/SI 760) Fall 06 Database Applications
Design (SI 654) Fall 05
Write to radev_at_umich.edu if you have any
questions
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Main areas of interest

• Graph-based methods
• Machine learning
• Text summarization
• Question answering
• Text mining in political science, blogometrics,
  bioinformatics

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List of current funded projects

• BlogoCenter Infrastructure for Collecting,
  Mining and Accessing Blogs
• NSF (joint with Junghoo Cho of UCLA)
• Probabilistic and link-based Methods for
  Exploiting Very Large Textual Repositories
• NSF
• Representing and Acquiring Knowledge of Genome
  Regulation
• NIH (joint with Steve Abney, David States, and
  H.V. Jagadish)
• Collaborative research semantic entity and
  relation extraction from Web-scale text document
  collections
• NSF (joint with Michael Collins of MIT and Steve
  Abney)
• DHB The dynamics of Political Representation and
  Political Rhetoric
• NSF (joint with Kevin Quinn of Harvard, Burt
  Monroe of PSU)
• NCIBI National center for integrative
  bioinformatics
• NIH (joint with 20 other faculty)

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Representative recent papers

• News to Go Hierarchical Text Summarization for
  Mobile Devices (SIGIR 2006)
• Language Model Based Document Clustering Using
  Random Walks (HLT-NAACL 2006)
• An automated method of topic-coding legislative
  speech over time with application to the
  105th-108th u. s. senate (MPSA 2006 Gosnell
  Award)
• Summarizing online news topics (CACM 2005)
• Using random walks for question-focused sentence
  retrieval (HLT-EMNLP 2005)
• Context-based generic cross-lingual retrieval of
  documents and automated summaries (JASIST 2005)
• Probabilistic question answering on the web
  (JASIST 2005)
• Centroid-based summarization of multiple
  documents (IPM 2004)
• A smorgasbord of features for statistical machine
  translation (HLT-NAACL 2004)
• Graph-based centrality as salience in text
  summarization (JAIR 2004)

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Papers in progress or under submission

• Summarization evaluation in a cross-lingual
  information retrieval context. Submitted to
  Information Processing and Management.
• Retrieval of context-specific, dynamic
  information A survey of related work. Submitted
  to ACM Computing Surveys.
• Single-document and multi-document summary
  evaluation using relative utility. Submitted to
  Information Retrieval.
• Exploring Fact-Focused Relevance and Novelty
  Detection, submitted to Information Processing
  and Management
• Hierarchical Summarization for Delivering
  Information to Mobile Devices, submitted to
  Decision Support Systems
• Modeling Burstiness in Discourse Using a
  Stochastic Stack
• A topological analysis of semisupervised
  graph-based learning with harmonic functions
• Protein-protein interaction with no external
  knowledge
• An empirical analysis of 100 lexical networks
• Hiring networks in information science and
  computer science
• Blind men and elephants What do citation
  summaries tell us about a research article
• Reinforcement classifiers
• Dependency parsing using random walks
• Modeling Document Dynamics An Evolutionary
  Approach
• Cross-document relationship classification for
  text summarization

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Software available

• MEAD text summarization
• NSIR question answering
• CLAIRLIB generic NLP/IR
• radev_at_umich.edu