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In this article, we introduce eXtensible MetaGrammar (XMG), a framework for specifying tree-based grammars such as Feature-Based Lexicalized Tree-Adjoining Grammars (FB-LTAG) and Interaction Grammars ...
Selectional Preferences for Semantic Role Classification
Selectional Preferences Semantic Role Classification
2015/9/11
This paper focuses on a well-known open issue in Semantic Role Classification (SRC) research: the limited influence and sparseness of lexical features. We mitigate this problem using models that integ...
OntoLearn Reloaded:A Graph-Based Algorithm for Taxonomy Induction
OntoLearn Reloaded Graph-Based Algorithm Taxonomy Induction
2015/9/11
In 2004 we published in this journal an article describing OntoLearn, one of the first systems to automatically induce a taxonomy from documents and Web sites. Since then, OntoLearn has continued to b...
Clustering and Diversifying Web Search Results with Graph-Based Word Sense Induction
Clustering and Diversifying Web Search Graph Word Sense Induction
2015/9/11
Web search result clustering aims to facilitate information search on the Web. Rather than the results of a query being presented as a flat list, they are grouped on the basis of their similarity and ...
With the increasing rate of patent application filings, automated patent classification is of rising economic importance. This article investigates how patent classification can be improved by using d...
Divisible Transition Systems and Multiplanar Dependency Parsing
Divisible Transition Systems Multiplanar Dependency Parsing
2015/9/11
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 form...
A Constraint-Based Hypergraph Partitioning Approach to Coreference Resolution
Hypergraph Partitioning Approach Coreference Resolution
2015/9/11
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 discours...
Deterministic Coreference Resolution Based on Entity-Centric,Precision-Ranked Rules
Coreference Resolution Entity-Centric Precision-Ranked Rules
2015/9/11
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 de...
Plagiarism Meets Paraphrasing:Insights for the Next Generation in Automatic Plagiarism Detection
Plagiarism Meets Paraphrasing Automatic Plagiarism Detection
2015/9/11
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-...
Multilingual Joint Parsing of Syntactic and Semantic Dependencies with a Latent Variable Model
Multilingual Joint Parsing Syntactic Semantic Latent Variable Model
2015/9/11
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 requ...
Improving Statistical Machine Translation by Adapting Translation Models to Translationese
Statistical Machine Translation Translation Models Translationese
2015/9/11
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...
Incremental,Predictive Parsing with Psycholinguistically Motivated Tree-Adjoining Grammar
Incremental Predictive Parsing Psycholinguistically Tree-Adjoining Grammar
2015/9/11
Psycholinguistic research shows that key properties of the human sentence processor are incrementality, connectedness (partial structures contain no unattached nodes), and prediction (upcoming syntact...
Generation of Compound Words in Statistical Machine Translation into Compounding Languages
Compound Words Statistical Machine Translation Compounding Languages
2015/9/11
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 hav...
Empirical Risk Minimization for Probabilistic Grammars:Sample Complexity and Hardness of Learning
Risk Minimization Probabilistic Grammars Sample Complexity and Hardness
2015/9/10
Probabilistic grammars are generative statistical models that are useful for compositional and sequential structures. They are used ubiquitously in computational linguistics. We present a framework, r...
Information graphics (such as bar charts and line graphs) play a vital role in many multimodal documents. The majority of information graphics that appear in popular media are intended to convey a mes...