K
Kathleen R. McKeown
Researcher at Columbia University
Publications - 383
Citations - 20869
Kathleen R. McKeown is an academic researcher from Columbia University. The author has contributed to research in topics: Automatic summarization & Natural language. The author has an hindex of 67, co-authored 355 publications receiving 19242 citations. Previous affiliations of Kathleen R. McKeown include New York University & Amazon.com.
Papers
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Proceedings ArticleDOI
Predicting the Semantic Orientation of Adjectives
TL;DR: A log-linear regression model uses constraints from conjunctions to predict whether conjoined adjectives are of same or different orientations, achieving 82% accuracy in this task when each conjunction is considered independently.
Proceedings ArticleDOI
Predicting the semantic orientation of adjectives
TL;DR: A log-linear regression model uses constraints from conjunctions to predict whether conjoined adjectives are of same or different orientations, achieving 82% accuracy in this task when each conjunction is considered independently.
MonographDOI
Text generation: using discourse strategies and focus constraints to generate natural language text
TL;DR: Preface Introduction 2. Discourse structure 3. Focusing in discourse 4. TEXT system implementation 5.discourse history 6. Related generation research 7. Summary and conclusions
Journal ArticleDOI
Translating collocations for bilingual lexicons: a statistical approach
TL;DR: A program named Champollion is described which, given a pair of parallel corpora in two different languages and a list of collocations in one of them, automatically produces their translations, to provide a tool for compiling bilingual lexical information above the word level in multiple languages, for different domains.
Book ChapterDOI
A survey of text summarization techniques
Ani Nenkova,Kathleen R. McKeown +1 more
TL;DR: This chapter gives a broad overview of existing approaches based on how representation, sentence scoring or summary selection strategies alter the overall performance of the summarizer, and points out some of the peculiarities of the task of summarization.