JCIT
2010
13 years 6 months ago
2010
The two most important tasks in entity information summarization from the Web are named entity recognition and relation extraction. Little work has been done toward an integrated ...
WWW
2011
ACM
13 years 6 months ago
2011
ACM
We propose a method to adapt an existing relation extraction system to extract new relation types with minimum supervision. Our proposed method comprises two stages: learning a lo...
COLING
2010
13 years 6 months ago
2010
This paper presents a new approach to improving relation extraction based on minimally supervised learning. By adding some limited closed-world knowledge for confidence estimation...
COLING
2010
13 years 6 months ago
2010
Relations between entities in text have been widely researched in the natural language processing and informationextraction communities. The region connecting a pair of entities (...
COLING
2010
13 years 6 months ago
2010
Relation extraction is the task of recognizing semantic relations among entities. Given a particular sentence supervised approaches to Relation Extraction employed feature or kern...
EMNLP
2010
13 years 8 months ago
2010
We present a novel approach to relation extraction that integrates information across documents, performs global inference and requires no labelled text. In particular, we tackle ...
EMNLP
2009
13 years 9 months ago
2009
This paper explores the use of innovative kernels based on syntactic and semantic structures for a target relation extraction task. Syntax is derived from constituent and dependen...
ACL
2009
13 years 9 months ago
2009
The automatic extraction of relations between entities expressed in natural language text is an important problem for IR and text understanding. In this paper we show how differen...
ACL
2009
13 years 9 months ago
2009
Creating labeled training data for relation extraction is expensive. In this paper, we study relation extraction in a special weakly-supervised setting when we have only a few see...
IPM
2008
13 years 11 months ago
2008
Extracting semantic relationships between entities from text documents is challenging in information extraction and important for deep information processing and management. This ...