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» Unsupervised Natural Language Processing Using Graph Models
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EACL
2006
ACL Anthology
15 years 2 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
132
Voted
CVPR
2009
IEEE
16 years 8 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
91
Voted
IJCNLP
2005
Springer
15 years 6 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
106
Voted
ISICT
2003
15 years 2 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, ...
136
Voted
SOCIALCOM
2010
14 years 11 months 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