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» Named Entity Recognition in Tweets: An Experimental Study
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BMCBI
2008
158views more  BMCBI 2008»
14 years 11 months ago
Discovering gene annotations in biomedical text databases
Currently, most of the discovered biological and biomedical knowledge is available as textual data in scientific papers. And, locating and curating information about a genomic enti...
Ali Cakmak, Gultekin Özsoyoglu
113
Voted
SIGIR
2005
ACM
15 years 5 months ago
A phonotactic-semantic paradigm for automatic spoken document classification
We demonstrate a phonotactic-semantic paradigm for spoken document categorization. In this framework, we define a set of acoustic words instead of lexical words to represent acous...
Bin Ma, Haizhou Li
JCST
2008
138views more  JCST 2008»
14 years 11 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
KDD
2005
ACM
153views Data Mining» more  KDD 2005»
16 years 1 days ago
Improving discriminative sequential learning with rare--but--important associations
Discriminative sequential learning models like Conditional Random Fields (CRFs) have achieved significant success in several areas such as natural language processing, information...
Xuan Hieu Phan, Minh Le Nguyen, Tu Bao Ho, Susumu ...
100
Voted
CLEF
2005
Springer
15 years 5 months ago
CLEF-2005 CL-SR at Maryland: Document and Query Expansion Using Side Collections and Thesauri
This paper reports results for the University of Maryland’s participation in CLEF-2005 Cross-Language Speech Retrieval track. Techniques that were tried include: (1) document ex...
Jianqiang Wang, Douglas W. Oard