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SIGIR
2004
ACM
14 years 1 months ago
Focused named entity recognition using machine learning
In this paper we study the problem of finding most topical named entities among all entities in a document, which we refer to as focused named entity recognition. We show that th...
Li Zhang, Yue Pan, Tong Zhang
WWW
2008
ACM
14 years 8 months ago
Sailer: an effective search engine for unified retrieval of heterogeneous xml and web documents
This paper studies the problem of unified ranked retrieval of heterogeneous XML documents and Web data. We propose an effective search engine called Sailer to adaptively and versa...
Guoliang Li, Jianhua Feng, Jianyong Wang, Xiaoming...
ACL
2006
13 years 9 months ago
Using Machine-Learning to Assign Function Labels to Parser Output for Spanish
Data-driven grammatical function tag assignment has been studied for English using the Penn-II Treebank data. In this paper we address the question of whether such methods can be ...
Grzegorz Chrupala, Josef van Genabith
CORR
1998
Springer
113views Education» more  CORR 1998»
13 years 7 months ago
Letter to Sound Rules for Accented Lexicon Compression
This paper presents trainable methods for generating letter to sound rules from a given lexicon for use in pronouncing out-ofvocabulary words and as a method for lexicon compressi...
V. Pagel, Kevin Lenzo, Alan W. Black
CIKM
2008
Springer
13 years 9 months ago
A heuristic approach for checking containment of generalized tree-pattern queries
Query processing techniques for XML data have focused mainly on tree-pattern queries (TPQs). However, the need for querying XML data sources whose structure is very complex or not...
Pawel Placek, Dimitri Theodoratos, Stefanos Soulda...