Analysis by synthesis: a (re-) emerging program of research for language and vision

TG Bever, D Poeppel - Biolinguistics, 2010 - bioling.psychopen.eu
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 …

Multiword expression processing: A survey

M Constant, G Eryiğit, J Monti, L Van Der Plas… - Computational …, 2017 - direct.mit.edu
Multiword expressions (MWEs) are a class of linguistic forms spanning conventional word
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 …

[BUCH][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] Shallow parsing with conditional random fields

F Sha, F Pereira - Proceedings of the 2003 human language …, 2003 - aclanthology.org
Conditional random fields for sequence labeling offer advantages over both generative
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 - ccs.neu.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 …

[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 …

[PDF][PDF] Online large-margin training of dependency parsers

R McDonald, K Crammer, F Pereira - Proceedings of the 43rd …, 2005 - aclanthology.org
We present an effective training algorithm for linearly-scored dependency parsers that
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) …

[PDF][PDF] The TIGER treebank

S Brants, S Hansen, W Lezius… - In Proceedings of the …, 2002 - linguistics.rub.de
This paper reports on the TIGER Treebank, a corpus of currently 35.000 syntactically
annotated German newspaper sentences. We describe what kind of information is encoded …