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» Learning Summary Content Units with Topic Modeling
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COLING
2010
13 years 5 months ago
Learning Summary Content Units with Topic Modeling
In the field of multi-document summarization, the Pyramid method has become an important approach for evaluating machine-generated summaries. The method is based on the manual ann...
Leonhard Hennig, Ernesto William De Luca, Sahin Al...
DEXAW
2010
IEEE
202views Database» more  DEXAW 2010»
14 years 10 hour ago
Identifying Sentence-Level Semantic Content Units with Topic Models
Abstract--Statistical approaches to document content modeling typically focus either on broad topics or on discourselevel subtopics of a text. We present an analysis of the perform...
Leonhard Hennig, Thomas Strecker, Sascha Narr, Ern...
CIKM
2009
Springer
14 years 5 months ago
Topic and keyword re-ranking for LDA-based topic modeling
Topic-based text summaries promise to help average users quickly understand a text collection and derive insights. Recent research has shown that the Latent Dirichlet Allocation (...
Yangqiu Song, Shimei Pan, Shixia Liu, Michelle X. ...
ACL
2009
13 years 8 months ago
Query-Focused Summaries or Query-Biased Summaries?
In the context of the Document Understanding Conferences, the task of Query-Focused Multi-Document Summarization is intended to improve agreement in content among humangenerated m...
Rahul Katragadda, Vasudeva Varma
COLING
2002
13 years 10 months ago
Hierarchical Orderings of Textual Units
Text representation is a central task for any approach to automatic learning from texts. It requires a format which allows to interrelate texts even if they do not share content w...
Alexander Mehler