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ACL
2000
14 years 6 days ago
Extracting Causal Knowledge from a Medical Database Using Graphical Patterns
This paper reports the first part of a project that aims to develop a knowledge extraction and knowledge discovery system that extracts causal knowledge from textual databases. In...
Christopher S. G. Khoo, Syin Chan, Yun Niu
INTERSPEECH
2010
13 years 5 months ago
Extractive summarization using a latent variable model
Extractive multi-document summarization is the task of choosing sentences from a set of documents to compose a summary text in response to a user query. We propose a generative ap...
Asli Çelikyilmaz, Dilek Hakkani-Tür
ICDM
2007
IEEE
126views Data Mining» more  ICDM 2007»
14 years 5 months ago
Ask the Crowd to Find out What's Important
We present a corpus-based method for estimating the importance of sentences. Our main contribution is two-fold. First, we introduce the idea of using the increasing amount of manu...
Sisay Fissaha Adafre, Maarten de Rijke
AI
2010
Springer
14 years 3 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
ACL
1998
14 years 6 days ago
Flow Network Models for Word Alignment and Terminology Extraction from Bilingual Corpora
This paper presents a new model for word alignments between parallel sentences, which allows one to accurately estimate different parameters, in a computationally efficient way. A...
Éric Gaussier