Computational Linguistics Volume 39 Issue 4

Open Access

Journal Article

Influences and Inferences

Hobbs, Jerry

2013 Computational Linguistics

doi:10.1162/COLI_a_00171

Open Access

Journal Article

Divisible Transition Systems and Multiplanar Dependency Parsing

Gómez-Rodríguez, Carlos; Nivre, Joakim

2013 Computational Linguistics

doi:10.1162/COLI_a_00150

Transition-based parsing is a widely used approach for dependency parsing that combines high efficiency with expressive feature models. Many different transition systems have been proposed, often formalized in slightly different frameworks. In this article, we show that a large number of the...

Open Access

Journal Article

A Constraint-Based Hypergraph Partitioning Approach to Coreference Resolution

Sapena, Emili; Padró, Lluís; Turmo, Jordi

2013 Computational Linguistics

doi:10.1162/COLI_a_00151

This work is focused on research in machine learning for coreference resolution. Coreference resolution is a natural language processing task that consists of determining the expressions in a discourse that refer to the same entity. The main contributions of this article are (i) a new approach to...

Open Access

Journal Article

Deterministic Coreference Resolution Based on Entity-Centric, Precision-Ranked Rules

Lee, Heeyoung; Chang, Angel; Peirsman, Yves; Chambers, Nathanael; Surdeanu, Mihai;

2013 Computational Linguistics

doi:10.1162/COLI_a_00152

We propose a new deterministic approach to coreference resolution that combines the global information and precise features of modern machine-learning models with the transparency and modularity of deterministic, rule-based systems. Our sieve architecture applies a battery of deterministic...

Open Access

Journal Article

Plagiarism Meets Paraphrasing: Insights for the Next Generation in Automatic Plagiarism Detection

Barrón-Cedeño, Alberto; Vila, Marta; Martí, M.; Rosso, Paolo

2013 Computational Linguistics

doi:10.1162/COLI_a_00153

Although paraphrasing is the linguistic mechanism underlying many plagiarism cases, little attention has been paid to its analysis in the framework of automatic plagiarism detection. Therefore, state-of-the-art plagiarism detectors find it difficult to detect cases of paraphrase plagiarism. In...

Open Access

Journal Article

Multilingual Joint Parsing of Syntactic and Semantic Dependencies with a Latent Variable Model

Henderson, James; Merlo, Paola; Titov, Ivan; Musillo, Gabriele

2013 Computational Linguistics

doi:10.1162/COLI_a_00158

Current investigations in data-driven models of parsing have shifted from purely syntactic analysis to richer semantic representations, showing that the successful recovery of the meaning of text requires structured analyses of both its grammar and its semantics. In this article, we report on a...

Open Access

Journal Article

Improving Statistical Machine Translation by Adapting Translation Models to Translationese

Lembersky, Gennadi; Ordan, Noam; Wintner, Shuly

2013 Computational Linguistics

doi:10.1162/COLI_a_00159

Translation models used for statistical machine translation are compiled from parallel corpora that are manually translated. The common assumption is that parallel texts are symmetrical: The direction of translation is deemed irrelevant and is consequently ignored. Much research in Translation...

Open Access

Journal Article

Incremental, Predictive Parsing with Psycholinguistically Motivated Tree-Adjoining Grammar

Demberg, Vera; Keller, Frank; Koller, Alexander

2013 Computational Linguistics

doi:10.1162/COLI_a_00160

Psycholinguistic research shows that key properties of the human sentence processor are incrementality, connectedness (partial structures contain no unattached nodes), and prediction (upcoming syntactic structure is anticipated). There is currently no broad-coverage parsing model with these...

Open Access

Journal Article

Generation of Compound Words in Statistical Machine Translation into Compounding Languages

Stymne, Sara; Cancedda, Nicola; Ahrenberg, Lars

2013 Computational Linguistics

doi:10.1162/COLI_a_00162

In this article we investigate statistical machine translation (SMT) into Germanic languages, with a focus on compound processing. Our main goal is to enable the generation of novel compounds that have not been seen in the training data. We adopt a split-merge strategy, where compounds are split...

Open Access

Journal Article

Reviewers for Volume 39

2013 Computational Linguistics

doi:10.1162/COLI_r_00172

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