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NAACL
2010
13 years 2 months ago
Quantifying the Limits and Success of Extractive Summarization Systems Across Domains
This paper analyzes the topic identification stage of single-document automatic text summarization across four different domains, consisting of newswire, literary, scientific and ...
Hakan Ceylan, Rada Mihalcea, Umut O'zertem, Elena ...
AIRS
2010
Springer
13 years 2 months ago
Re-ranking Summaries Based on Cross-Document Information Extraction
This paper describes a novel approach of improving multi-document summarization based on cross-document information extraction (IE). We describe a method to automatically incorpora...
Heng Ji, Juan Liu, Benoît Favre, Daniel Gill...
NAACL
2007
13 years 6 months ago
Question Answering Using Integrated Information Retrieval and Information Extraction
This paper addresses the task of providing extended responses to questions regarding specialized topics. This task is an amalgam of information retrieval, topical summarization, a...
Barry Schiffman, Kathleen McKeown, Ralph Grishman,...
ICAIL
2005
ACM
13 years 10 months ago
Automatic Legal Text Summarisation: Experiments with Summary Structuring
We describe a set of experiments using machine learning techniques for the task of extractive summarisation. The research is part of a summarisation project for which we use a cor...
Ben Hachey, Claire Grover
AIL
2006
130views more  AIL 2006»
13 years 4 months ago
Extractive summarisation of legal texts
We describe research carried out as part of a text summarisation project for the legal domain for which we use a new XML corpus of judgments of the UK House of Lords. These judgmen...
Ben Hachey, Claire Grover