Multiword expressions: A pain in the neck for NLP

IA Sag, T Baldwin, F Bond, A Copestake… - … and Intelligent Text …, 2002 - Springer
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 …

[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 …

[書籍][B] Lexical-functional syntax

J Bresnan, A Asudeh, I Toivonen, S Wechsler - 2015 - books.google.com
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 …

[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 …

[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 …

MaltParser: A language-independent system for data-driven dependency parsing

J Nivre, J Hall, J Nilsson, A Chanev… - Natural Language …, 2007 - cambridge.org
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 …

[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 …

Convolution kernels for natural language

M Collins, N Duffy - Advances in neural information …, 2001 - proceedings.neurips.cc
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 …

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 …