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Chunking with Maximum Entropy Models
Rob Koeling
|
Paper Details:
Year: 2000
Venue:
CoNLL |
WS |
SIG: SIGNLL
Citations
URL
Identification of Basic Phrases for Kazakh Language using Maximum Entropy Model
Gulila Altenbek
|
Xiaolong Wang
|
Gulizhada Haisha
|
Investigating GIS and Smoothing for Maximum Entropy Taggers
James R. Curran
|
Stephen Clark
|
Using Maximum Entropy to Extract Biomedical Named Entities without Dictionaries
Tzong-Han Tsai
|
Chia-Wei Wu
|
Wen-Lian Hsu
|
Wide-Coverage Efficient Statistical Parsing with CCG and Log-Linear Models
Stephen Clark
|
James R. Curran
|
Rule-Based Chunker for Croatian
Kristina Vučković
|
Marko Tadić
|
Zdravko Dovedan
|
A Maximum Entropy Approach to FrameNet Tagging
Michael Fleischman
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Eduard Hovy
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Supersense Tagging of Unknown Nouns Using Semantic Similarity
James Curran
|
A Progressive Feature Selection Algorithm for Ultra Large Feature Spaces
Qi Zhang
|
Fuliang Weng
|
Zhe Feng
|
Introduction to the CoNLL-2000 Shared Task Chunking
Erik F. Tjong Kim Sang
|
Sabine Buchholz
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Learning Computational Grammars
John Nerbonne
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Anja Belz
|
Nicola Cancedda
|
Hervé Déjean
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James Hammerton
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Rob Koeling
|
Stasinos Konstantopoulos
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Miles Osborne
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Franck Thollard
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Erik F. Tjong Kim Sang
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A Fast Algorithm for Feature Selection in Conditional Maximum Entropy Modeling
Yaqian Zhou
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Fuliang Weng
|
Lide Wu
|
Hauke Schmidt
|
POS Tagging of Dialectal Arabic: A Minimally Supervised Approach
Kevin Duh
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Katrin Kirchhoff
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Maximum Entropy Tagging with Binary and Real-Valued Features
Vanessa Sandrini
|
Marcello Federico
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Mauro Cettolo
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Selecting Optimal Feature Template Subset for CRFs
Xingjun Xu
|
Guanglu Sun
|
Yi Guan
|
Xishuang Dong
|
Sheng Li
|
No URLs Found
Field Of Study
Task
Tagging
Language
English
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