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AAAI
2012
12 years 12 months ago
Ontological Smoothing for Relation Extraction with Minimal Supervision
Relation extraction, the process of converting natural language text into structured knowledge, is increasingly important. Most successful techniques use supervised machine learni...
Congle Zhang, Raphael Hoffmann, Daniel S. Weld
KDD
2008
ACM
257views Data Mining» more  KDD 2008»
15 years 10 months ago
Knowledge discovery of semantic relationships between words using nonparametric bayesian graph model
We developed a model based on nonparametric Bayesian modeling for automatic discovery of semantic relationships between words taken from a corpus. It is aimed at discovering seman...
Issei Sato, Minoru Yoshida, Hiroshi Nakagawa
BIS
2010
165views Business» more  BIS 2010»
14 years 11 months ago
Textractor: A Framework for Extracting Relevant Domain Concepts from Irregular Corporate Textual Datasets
Various information extraction (IE) systems for corporate usage exist. However, none of them target the product development and/or customer service domain, despite significant appl...
Ashwin Ittoo, Laura Maruster, Hans Wortmann, Gosse...
ANLP
2000
140views more  ANLP 2000»
14 years 11 months ago
Sentence Reduction for Automatic Text Summarization
We present a novel sentence reduction system for automatically removing extraneous phrases from sentences that are extracted from a document for summarization purpose. The system ...
Hongyan Jing
LREC
2010
183views Education» more  LREC 2010»
14 years 11 months ago
Extracting Lexico-conceptual Knowledge for Developing Persian WordNet
Semantic lexicons and lexical ontologies are some major resources in natural language processing. Developing such resources are time consuming tasks for which some automatic metho...
Mehrnoush Shamsfard, Hakimeh Fadaei, Elham Fekri