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» Unsupervised Natural Language Processing Using Graph Models
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110
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EACL
2006
ACL Anthology
15 years 3 months ago
Using Encyclopedic Knowledge for Named entity Disambiguation
We present a new method for detecting and disambiguating named entities in open domain text. A disambiguation SVM kernel is trained to exploit the high coverage and rich structure...
Razvan C. Bunescu, Marius Pasca
140
Voted
CVPR
2009
IEEE
16 years 9 months ago
Automated Extraction of Signs from Continuous Sign Language Sentences using Iterated Conditional Modes
Recognition of signs in sentences requires a training set constructed out of signs found in continuous sentences. Currently, this is done manually, which is a tedious process. I...
Barbara L. Loeding, Sudeep Sarkar, Sunita Nayak
IJCNLP
2005
Springer
15 years 7 months ago
Aligning Needles in a Haystack: Paraphrase Acquisition Across the Web
This paper presents a lightweight method for unsupervised extraction of paraphrases from arbitrary textual Web documents. The method differs from previous approaches to paraphrase...
Marius Pasca, Péter Dienes
ISICT
2003
15 years 3 months ago
Tag semantics for the retrieval of XML documents
Word Sense Disambiguation (WSD), in the field of Natural Language Processing (NLP), consists in assigning the correct sense (semantics) to a word form (lexeme) by means of the cont...
Davide Buscaldi, Giovanna Guerrini, Marco Mesiti, ...
SOCIALCOM
2010
15 years 1 days ago
Using Text Analysis to Understand the Structure and Dynamics of the World Wide Web as a Multi-Relational Graph
A representation of the World Wide Web as a directed graph, with vertices representing web pages and edges representing hypertext links, underpins the algorithms used by web search...
Harish Sethu, Alexander Yates