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» Abbreviation Recognition with MaxEnt Model
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CICLING
2006
Springer
13 years 8 months ago
Abbreviation Recognition with MaxEnt Model
Abbreviated words carry critical information in the literature of many special domains. This paper reports our research in recognizing dotted abbreviations with MaxEnt model. The k...
Chunyu Kit, Xiaoyue Liu, Jonathan J. Webster
IJCNLP
2004
Springer
13 years 10 months ago
Tagging Complex NEs with MaxEnt Models: Layered Structures Versus Extended Tagset
The paper discusses two policies for recognizing NEs with complex structures by maximum entropy models. One policy is to develop cascaded MaxEnt models at different levels. The ot...
Deyi Xiong, Hongkui Yu, Qun Liu
COLING
2010
12 years 12 months ago
An Exploration of Features for Recognizing Word Emotion
Emotion words have been well used as the most obvious choice as feature in the task of textual emotion recognition and automatic emotion lexicon construction. In this work, we exp...
Changqin Quan, Fuji Ren
COLING
2008
13 years 6 months ago
A Discriminative Alignment Model for Abbreviation Recognition
This paper presents a discriminative alignment model for extracting abbreviations and their full forms appearing in actual text. The task of abbreviation recognition is formalized...
Naoaki Okazaki, Sophia Ananiadou, Jun-ichi Tsujii
SIGKDD
2010
125views more  SIGKDD 2010»
12 years 11 months ago
A framework for mining interesting pattern sets
This paper suggests a framework for mining subjectively interesting pattern sets that is based on two components: (1) the encoding of prior information in a model for the data min...
Tijl De Bie, Kleanthis-Nikolaos Kontonasios, Eirin...