[PDF][PDF] Multiword expressions.

T Baldwin, SN Kim - Handbook of natural language processing, 2010 - eltimster.github.io
• San Francisco, ad hoc, by and large, Where Eagles Dare, kick the bucket, part of speech, in
step, the Oakland Raiders, trip the light fantastic, telephone box, call (someone) up, take a …

[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 …

[图书][B] Machine learning with SVM and other kernel methods

KP Soman, R Loganathan, V Ajay - 2009 - books.google.com
Support vector machines (SVMs) represent a breakthrough in the theory of learning systems.
It is a new generation of learning algorithms based on recent advances in statistical learning …

[PDF][PDF] Robust Accurate Statistical Annotation of General Text.

T Briscoe, J Carroll - LREC, 2002 - delph-in.net
We describe a robust accurate domain-independent approach to statistical parsing
incorporated into the new release of the ANLT toolkit, and publicly available as a research …

Intra-textual variation within medical research articles

D Biber - Variation in English, 2014 - taylorfrancis.com
This chapter presents standardized mean scores for individual linguistic features in the
medical corpus relative to the general distributions found in the contemporary reference …

[PDF][PDF] Extracting the unextractable: A case study on verb-particles

T Baldwin, A Villavicencio - COLING-02: The 6th Conference on …, 2002 - aclanthology.org
This paper proposes a series of techniques for extracting English verb–particle constructions
from raw text corpora. We initially propose three basic methods, based on tagger output …

[PDF][PDF] Learning to recognize tables in free text

HT Ng, CY Lim, JLT Koo - … of the 37th Annual Meeting of the …, 1999 - aclanthology.org
Many real-world texts contain tables. In order to process these texts correctly and extract the
information contained within the tables, it is important to identify the presence and structure …

Combining unsupervised lexical knowledge methods for word sense disambiguation

G Rigau, J Atserias, E Agirre - arXiv preprint cmp-lg/9704007, 1997 - arxiv.org
This paper presents a method to combine a set of unsupervised algorithms that can
accurately disambiguate word senses in a large, completely untagged corpus. Although …

Deep lexical acquisition of verb–particle constructions

T Baldwin - Computer Speech & Language, 2005 - Elsevier
This paper proposes a range of techniques for extracting English verb-particle constructions
from raw text corpora, complete with valence information. We propose four basic methods …

Benchmarking natural-language parsers for biological applications using dependency graphs

AB Clegg, AJ Shepherd - BMC bioinformatics, 2007 - Springer
Background Interest is growing in the application of syntactic parsers to natural language
processing problems in biology, but assessing their performance is difficult because …