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» Using structured text for large-scale attribute extraction
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AI
2010
Springer
15 years 4 months ago
Supervised Machine Learning for Summarizing Legal Documents
This paper presents a supervised machine learning approach for summarizing legal documents. A commercial system for the analysis and summarization of legal documents provided us wi...
Mehdi Yousfi Monod, Atefeh Farzindar, Guy Lapalme
ICAIL
2009
ACM
15 years 4 months ago
Segmentation of legal documents
An overwhelming number of legal documents is available in digital form. However, most of the texts are usually only provided in a semi-structured form, i.e. the documents are stru...
Eneldo Loza Mencía
CORIA
2011
14 years 3 months ago
Mining the Web for lists of Named Entities
Named entities play an important role in Information Extraction. They represent unitary namable information within text. In this work, we focus on groups of named entities of the s...
Arlind Kopliku, Mohand Boughanem, Karen Pinel-Sauv...
SPIRE
2009
Springer
15 years 6 months ago
A Two-Level Structure for Compressing Aligned Bitexts
A bitext, or bilingual parallel corpus, consists of two texts, each one in a different language, that are mutual translations. Bitexts are very useful in linguistic engineering bec...
Joaquín Adiego, Nieves R. Brisaboa, Miguel ...
IV
2003
IEEE
116views Visualization» more  IV 2003»
15 years 5 months ago
Visualization of Semantic Metadata and Ontologies
Implicit information embedded in semantic web graphs, such as topography, clusters, and disconnected subgraphs is difficult to extract from text files. Visualizations of the graph...
Paul Mutton, Jennifer Golbeck