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» Automatic semantics extraction in law documents
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AI
2007
Springer
14 years 5 months ago
Question Answering Summarization of Multiple Biomedical Documents
Abstract. In this paper we introduce a system that automatically summarizes multiple biomedical documents relevant to a question. The system extracts biomedical and general concept...
Zhongmin Shi, Gabor Melli, Yang Wang, Yudong Liu, ...
ICASSP
2008
IEEE
14 years 5 months ago
Rhetorical-State Hidden Markov Models for extractive speech summarization
We propose an extractive summarization system with a novel non-generative probabilistic framework for speech summarization. One of the most underutilized features in extractive su...
Pascale Fung, Ricky Ho Yin Chan, Justin Jian Zhang
ICADL
2007
Springer
129views Education» more  ICADL 2007»
14 years 5 months ago
Using Automatic Metadata Extraction to Build a Structured Syllabus Repository
Syllabi are important documents created by instructors for students. Students use syllabi to find information and to prepare for class. Instructors often need to find similar syl...
Xiaoyan Yu, Manas Tungare, Weiguo Fan, Manuel A. P...
ICAIL
2007
ACM
14 years 2 months ago
Deep semantic interpretations of legal texts
One of the main obstacles to progress in the field of artificial intelligence and law is the natural language barrier, but the technology of natural language processing has advanc...
L. Thorne McCarty
ICDAR
1999
IEEE
14 years 3 months ago
A System for Automatic Text Detection in Video
Video indexing is an important problem that has occupied recent research efforts. The text appearing in video can provide semantic information about the scene content. Detecting a...
Ullas Gargi, David J. Crandall, Sameer Antani, Tar...