Sciweavers

19 search results - page 3 / 4
» Coupled Semi-Supervised Learning for Information Extraction
Sort
View
WSDM
2012
ACM
325views Data Mining» more  WSDM 2012»
12 years 1 months ago
Coupled temporal scoping of relational facts
Recent research has made significant advances in automatically constructing knowledge bases by extracting relational facts (e.g., Bill Clinton-presidentOf-US) from large text cor...
Partha Pratim Talukdar, Derry Tanti Wijaya, Tom Mi...
KDD
2004
ACM
163views Data Mining» more  KDD 2004»
14 years 6 months ago
Exploiting dictionaries in named entity extraction: combining semi-Markov extraction processes and data integration methods
We consider the problem of improving named entity recognition (NER) systems by using external dictionaries--more specifically, the problem of extending state-of-the-art NER system...
William W. Cohen, Sunita Sarawagi
AAAI
2010
13 years 7 months ago
Multi-Task Active Learning with Output Constraints
Many problems in information extraction, text mining, natural language processing and other fields exhibit the same property: multiple prediction tasks are related in the sense th...
Yi Zhang 0010
JUCS
2008
148views more  JUCS 2008»
13 years 6 months ago
Learner Course Recommendation in e-Learning Based on Swarm Intelligence
: This paper analyses aspects about the recommendation process in distributed information systems. It extracts similarities and differences between recommendations in estores and t...
Ana Belén Gil, Francisco José Garc&i...
LREC
2008
104views Education» more  LREC 2008»
13 years 7 months ago
Learning Patterns for Building Resources about Semantic Relations in the Medical Domain
In this article, we present a method for extracting automatically from texts semantic relations in the medical domain using linguistic patterns. These patterns refer to three leve...
Mehdi Embarek, Olivier Ferret