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Text summarization


NSF (joint with Kevin Quinn of Harvard, Burt Monroe of PSU) ... Language Model Based Document Clustering Using Random Walks (HLT-NAACL 2006) ... – PowerPoint PPT presentation

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Title: Text summarization

CLAIR Computational Linguistics And Information
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
Main areas of interest
  • Graph-based methods
  • Machine learning
  • Text summarization
  • Question answering
  • Text mining in political science, blogometrics,

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
  • NIH (joint with Steve Abney, David States, and
    H.V. Jagadish)
  • Collaborative research semantic entity and
    relation extraction from Web-scale text document
  • NSF (joint with Michael Collins of MIT and Steve
  • 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
  • NIH (joint with 20 other faculty)

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
  • 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)

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
  • 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
  • Cross-document relationship classification for
    text summarization

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