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KES
2008
Springer
13 years 7 months ago
Improving Text Summarization Using Noun Retrieval Techniques
Text Summarization and categorization have always been two of the most demanding information retrieval tasks. Deploying a generalized, multifunctional mechanism that produces good ...
Christos Bouras, Vassilis Tsogkas
CORR
1998
Springer
109views Education» more  CORR 1998»
13 years 6 months ago
A Maximum-Entropy Partial Parser for Unrestricted Text
This paper describes a partial parser that assigns syntactic structures to sequences of partof-speech tags. The program uses the maximum entropy parameter estimation method, which...
Wojciech Skut, Thorsten Brants
ANLP
1997
137views more  ANLP 1997»
13 years 8 months ago
Probabilistic and Rule-Based Tagger of an Inflective Language- a Comparison
We present results of probabilistic tagging of Czech texts in order to show how these techniques work for one of the highly morphologically ambiguous inflective languages. After d...
Jan Hajic, Barbora Hladká
ACL
2006
13 years 8 months ago
Morphological Richness Offsets Resource Demand - Experiences in Constructing a POS Tagger for Hindi
In this paper we report our work on building a POS tagger for a morphologically rich language- Hindi. The theme of the research is to vindicate the stand that- if morphology is st...
Smriti Singh, Kuhoo Gupta, Manish Shrivastava, Pus...
GECCO
2005
Springer
139views Optimization» more  GECCO 2005»
14 years 19 days ago
Use of a genetic algorithm in brill's transformation-based part-of-speech tagger
The tagging problem in natural language processing is to find a way to label every word in a text as a particular part of speech, e.g., proper noun. An effective way of solving th...
Garnett Carl Wilson, Malcolm I. Heywood