Analysis by synthesis: a (re-) emerging program of research for language and vision
This contribution reviews (some of) the history of analysis by synthesis, an approach to
perception and comprehension articulated in the 1950s. Whereas much research has …
perception and comprehension articulated in the 1950s. Whereas much research has …
Multiword expression processing: A survey
Multiword expressions (MWEs) are a class of linguistic forms spanning conventional word
boundaries that are both idiosyncratic and pervasive across different languages. The …
boundaries that are both idiosyncratic and pervasive across different languages. The …
An introduction to conditional random fields
C Sutton, A McCallum - Foundations and Trends® in Machine …, 2012 - nowpublishers.com
Many tasks involve predicting a large number of variables that depend on each other as well
as on other observed variables. Structured prediction methods are essentially a combination …
as on other observed variables. Structured prediction methods are essentially a combination …
[图书][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 …
[PDF][PDF] Shallow parsing with conditional random fields
Conditional random fields for sequence labeling offer advantages over both generative
models like HMMs and classifiers applied at each sequence position. Among sequence …
models like HMMs and classifiers applied at each sequence position. Among sequence …
[PDF][PDF] An introduction to conditional random fields for relational learning
C Sutton - Introduction to statistical relational learning, 2007 - cs.ucla.edu
Conditional random fields (CRFs) combine the modeling flexibility of graphical models with
the ability to use rich, nonindependent features of the input. In this tutorial, we review …
the ability to use rich, nonindependent features of the input. In this tutorial, we review …
[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 …
[PDF][PDF] Online large-margin training of dependency parsers
We present an effective training algorithm for linearly-scored dependency parsers that
implements online largemargin multi-class training (Crammer and Singer, 2003; Crammer et …
implements online largemargin multi-class training (Crammer and Singer, 2003; Crammer et …
A latent variable model for generative dependency parsing
I Titov, J Henderson - Trends in Parsing Technology: Dependency Parsing …, 2010 - Springer
Dependency parsing has been a topic of active research in natural language processing
during the last several years. The CoNLL-2006 shared task (Buchholz and Marsi, 2006) …
during the last several years. The CoNLL-2006 shared task (Buchholz and Marsi, 2006) …
[图书][B] Grammatical theory: From transformational grammar to constraint-based approaches
S Müller - 2023 - library.oapen.org
This book introduces formal grammar theories that play a role in current linguistic theorizing
(Phrase Structure Grammar, Transformational Grammar/Government & Binding, Generalized …
(Phrase Structure Grammar, Transformational Grammar/Government & Binding, Generalized …