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» A Method of Recognizing Entity and Relation
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IJCAI
2001
15 years 1 months ago
Probabilistic Classification and Clustering in Relational Data
Supervised and unsupervised learning methods have traditionally focused on data consisting of independent instances of a single type. However, many real-world domains are best des...
Benjamin Taskar, Eran Segal, Daphne Koller
ACL
2012
13 years 2 months ago
Reducing Wrong Labels in Distant Supervision for Relation Extraction
In relation extraction, distant supervision seeks to extract relations between entities from text by using a knowledge base, such as Freebase, as a source of supervision. When a s...
Shingo Takamatsu, Issei Sato, Hiroshi Nakagawa
AGILE
2008
Springer
142views GIS» more  AGILE 2008»
15 years 6 months ago
GeoSR: Geographically Explore Semantic Relations in World Knowledge
Methods to determine the semantic relatedness (SR) value between two lexically expressed entities abound in the field of natural language processing (NLP). The goal of such efforts...
Brent Hecht, Martin Raubal
KDID
2004
481views Database» more  KDID 2004»
15 years 1 months ago
Models and Indices for Integrating Unstructured Data with a Relational Database
Abstract. Database systems are islands of structure in a sea of unstructured data sources. Several real-world applications now need to create bridges for smooth integration of semi...
Sunita Sarawagi
ACL
2006
15 years 1 months ago
Unsupervised Relation Disambiguation Using Spectral Clustering
This paper presents an unsupervised learning approach to disambiguate various relations between name entities by use of various lexical and syntactic features from the contexts. I...
Jinxiu Chen, Dong-Hong Ji, Chew Lim Tan, Zheng-Yu ...