Dcu: Aspect-based polarity classification for semeval task 4
We describe the work carried out by DCU on the Aspect Based Sentiment Analysis task at
SemEval 2014. Our team submitted one constrained run for the restaurant domain and one …
SemEval 2014. Our team submitted one constrained run for the restaurant domain and one …
Overview of the SPMRL 2013 shared task: A cross-framework evaluation of parsing morphologically rich languages
This paper reports on the first shared task on statistical parsing of morphologically rich lan-
guages (MRLs). The task features data sets from nine languages, each available both in …
guages (MRLs). The task features data sets from nine languages, each available both in …
[PDF][PDF] Statistical parsing of morphologically rich languages (spmrl) what, how and whither
Abstract The term Morphologically Rich Languages (MRLs) refers to languages in which
significant information concerning syntactic units and relations is expressed at word-level …
significant information concerning syntactic units and relations is expressed at word-level …
Parsing models for identifying multiword expressions
Multiword expressions lie at the syntax/semantics interface and have motivated alternative
theories of syntax like Construction Grammar. Until now, however, syntactic analysis and …
theories of syntax like Construction Grammar. Until now, however, syntactic analysis and …
[PDF][PDF] MACAON an NLP tool suite for processing word lattices
MACAON is a tool suite for standard NLP tasks developed for French. MACAON has been
designed to process both human-produced text and highly ambiguous word-lattices …
designed to process both human-produced text and highly ambiguous word-lattices …
Word segmentation, unknown-word resolution, and morphological agreement in a Hebrew parsing system
We present a constituency parsing system for Modern Hebrew. The system is based on the
PCFG-LA parsing method of Petrov et al., which is extended in various ways in order to …
PCFG-LA parsing method of Petrov et al., which is extended in various ways in order to …
Combining compound recognition and PCFG-LA parsing with word lattices and conditional random fields
M Constant, JL Roux, A Sigogne - ACM Transactions on Speech and …, 2013 - dl.acm.org
The integration of compounds in a parsing procedure has been shown to improve accuracy
in an artificial context where such expressions have been perfectly preidentified. This article …
in an artificial context where such expressions have been perfectly preidentified. This article …
Map** unseen words to task-trained embedding spaces
We consider the supervised training setting in which we learn task-specific word
embeddings. We assume that we start with initial embeddings learned from unlabelled data …
embeddings. We assume that we start with initial embeddings learned from unlabelled data …
[PDF][PDF] Towards Replicability in Parsing.
We investigate parsing replicability across 7 languages (and 8 treebanks), showing that
choices concerning the use of grammatical functions in parsing or evaluation and the …
choices concerning the use of grammatical functions in parsing or evaluation and the …
[PDF][PDF] A word clustering approach to domain adaptation: Effective parsing of biomedical texts
We present a simple and effective way to perform out-of-domain statistical parsing by
drastically reducing lexical data sparseness in a PCFG-LA architecture. We replace terminal …
drastically reducing lexical data sparseness in a PCFG-LA architecture. We replace terminal …