Dcu: Aspect-based polarity classification for semeval task 4

J Wagner, P Arora, S Cortes, U Barman, D Bogdanova… - 2014 - doras.dcu.ie
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 …

Overview of the SPMRL 2013 shared task: A cross-framework evaluation of parsing morphologically rich languages

D Seddah, R Tsarfaty, S Kübler, M Candito… - Proceedings of the …, 2013 - hal.science
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 …

[PDF][PDF] Statistical parsing of morphologically rich languages (spmrl) what, how and whither

R Tsarfaty, D Seddah, Y Goldberg… - Proceedings of the …, 2010 - aclanthology.org
Abstract The term Morphologically Rich Languages (MRLs) refers to languages in which
significant information concerning syntactic units and relations is expressed at word-level …

Parsing models for identifying multiword expressions

S Green, MC de Marneffe, CD Manning - Computational Linguistics, 2013 - direct.mit.edu
Multiword expressions lie at the syntax/semantics interface and have motivated alternative
theories of syntax like Construction Grammar. Until now, however, syntactic analysis and …

[PDF][PDF] MACAON an NLP tool suite for processing word lattices

A Nasr, F Béchet, JF Rey, B Favre… - Proceedings of the ACL …, 2011 - aclanthology.org
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 …

Word segmentation, unknown-word resolution, and morphological agreement in a Hebrew parsing system

Y Goldberg, M Elhadad - Computational Linguistics, 2013 - direct.mit.edu
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 …

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 …

Map** unseen words to task-trained embedding spaces

PS Madhyastha, M Bansal, K Gimpel… - arxiv preprint arxiv …, 2015 - arxiv.org
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 …

[PDF][PDF] Towards Replicability in Parsing.

D Dakota, S Kübler - RANLP, 2017 - cl.indiana.edu
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 …

[PDF][PDF] A word clustering approach to domain adaptation: Effective parsing of biomedical texts

M Candito, EH Anguiano, D Seddah - Proceedings of the 12th …, 2011 - aclanthology.org
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 …