66 search results - page 8 / 14 » Supervised Machine Learning for Summarizing Legal Documents |
LREC
2010
13 years 10 months ago
2010
We describe a set of tools, resources, and experiments for opinion classification in business-related datasources in two languages. In particular we concentrate on SentiWordNet te...
EMNLP
2008
13 years 10 months ago
2008
Complex questions that require inferencing and synthesizing information from multiple documents can be seen as a kind of topicoriented, informative multi-document summarization. I...
EMNLP
2007
13 years 10 months ago
2007
We present two machine learning approaches to information extraction from semi-structured documents that can be used if no annotated training data are available, but there does ex...
DL
1999
Springer
14 years 1 months ago
1999
Springer
Keyphrases provide semantic metadata that summarize and characterize documents. This paper describes Kea, an algorithm for automatically extracting keyphrases from text. Kea ident...
KDD
2009
ACM
14 years 3 months ago
2009
ACM
In this paper, we present a technique for visual analysis of documents based on the semantic representation of text in the form of a directed graph, referred to as semantic graph....