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ACSC
2006
IEEE
14 years 1 months ago
Shallow NLP techniques for internet search
Information Retrieval (IR) is a major component in many of our daily activities, with perhaps its most prominent role manifested in search engines. Today’s most advanced engines...
Alex Penev, Raymond K. Wong
SIGMOD
1998
ACM
180views Database» more  SIGMOD 1998»
13 years 11 months ago
Integration of Heterogeneous Databases Without Common Domains Using Queries Based on Textual Similarity
Most databases contain “name constants” like course numbers, personal names, and place names that correspond to entities in the real world. Previous work in integration of het...
William W. Cohen
ACL
2003
13 years 8 months ago
Unsupervised Learning of Arabic Stemming Using a Parallel Corpus
This paper presents an unsupervised learning approach to building a non-English (Arabic) stemmer. The stemming model is based on statistical machine translation and it uses an Eng...
Monica Rogati, J. Scott McCarley, Yiming Yang
JCST
2008
138views more  JCST 2008»
13 years 7 months ago
Predicting Chinese Abbreviations from Definitions: An Empirical Learning Approach Using Support Vector Regression
In Chinese, phrases and named entities play a central role in information retrieval. Abbreviations, however, make keyword-based approaches less effective. This paper presents an em...
Xu Sun, Houfeng Wang, Bo Wang 0003
PRL
2008
142views more  PRL 2008»
13 years 7 months ago
Highly accurate error-driven method for noun phrase detection
We present a new model for detection of noun phrases in unrestricted text, whose most outstanding feature is its flexibility: the system is able to recognize noun phrases similar ...
Lourdes Araujo, Jose Ignacio Serrano