Multiword expressions: A pain in the neck for NLP
Multiword expressions are a key problem for the development of large-scale, linguistically
sound natural language processing technology. This paper surveys the problem and some …
sound natural language processing technology. This paper surveys the problem and some …
[PDF][PDF] Feature-rich part-of-speech tagging with a cyclic dependency network
K Toutanova, D Klein, CD Manning… - Proceedings of the 2003 …, 2003 - aclanthology.org
We present a new part-of-speech tagger that demonstrates the following ideas:(i) explicit
use of both preceding and following tag contexts via a dependency network …
use of both preceding and following tag contexts via a dependency network …
[書籍][B] Lexical-functional syntax
Lexical-Functional Syntax, 2nd Edition, the definitive text for Lexical Functional Grammar
(LFG) with a focus on syntax, is updated to reflect recent developments in the field. Provides …
(LFG) with a focus on syntax, is updated to reflect recent developments in the field. Provides …
[書籍][B] Handbook of natural language processing
N Indurkhya, FJ Damerau - 2010 - taylorfrancis.com
The Handbook of Natural Language Processing, Second Edition presents practical tools
and techniques for implementing natural language processing in computer systems. Along …
and techniques for implementing natural language processing in computer systems. Along …
Learning to map sentences to logical form: Structured classification with probabilistic categorial grammars
LS Zettlemoyer, M Collins - ar** natural language sentences to lambda-
calculus encodings of their meaning. We describe a learning algorithm that takes as input a …
calculus encodings of their meaning. We describe a learning algorithm that takes as input a …
[PDF][PDF] Coarse-to-fine n-best parsing and maxent discriminative reranking
E Charniak, M Johnson - Proceedings of the 43rd Annual Meeting …, 2005 - aclanthology.org
Discriminative reranking is one method for constructing high-performance statistical parsers
(Collins, 2000). A discriminative reranker requires a source of candidate parses for each …
(Collins, 2000). A discriminative reranker requires a source of candidate parses for each …
MaltParser: A language-independent system for data-driven dependency parsing
Parsing unrestricted text is useful for many language technology applications but requires
parsing methods that are both robust and efficient. MaltParser is a language-independent …
parsing methods that are both robust and efficient. MaltParser is a language-independent …
[PDF][PDF] Effective self-training for parsing
D McClosky, E Charniak… - Proceedings of the human …, 2006 - aclanthology.org
We present a simple, but surprisingly effective, method of self-training a twophase parser-
reranker system using readily available unlabeled data. We show that this type of …
reranker system using readily available unlabeled data. We show that this type of …
Convolution kernels for natural language
We describe the application of kernel methods to Natural Language Pro-cessing (NLP)
problems. In many NLP tasks the objects being modeled are strings, trees, graphs or other …
problems. In many NLP tasks the objects being modeled are strings, trees, graphs or other …
Learning OT constraint rankings using a maximum entropy model
S Goldwater, M Johnson - … of the workshop on variation within …, 2003 - research.ed.ac.uk
A weakness of standard Optimality Theory is its inability to account for grammars with free
variation. We describe here the Maximum Entropy model, a general statistical model, and …
variation. We describe here the Maximum Entropy model, a general statistical model, and …