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Large Linguistic Corpus Reduction with SCP Algorithms
Large Linguistic Corpus Reduction SCP Algorithms
2015/9/16
Linguistic corpus design is a critical concern for building rich annotated corpora useful in different domains of applications. For example, speech technologies such as ASR (Automatic Speech Recogniti...
The Unified and Holistic Method Gamma (γ) for Inter-Annotator Agreement Measure and Alignment
Unified and Holistic Method Gamma Agreement Measure and Alignment
2015/9/16
Agreement measures have been widely used in computational linguistics for more than 15 years to check the reliability of annotation processes. Although considerable effort has been made concerning cat...
CODRA:A Novel Discriminative Framework for Rhetorical Analysis
CODRA Discriminative Framework Rhetorical Analysis
2015/9/16
Clauses and sentences rarely stand on their own in an actual discourse; rather, the relationship between them carries important information that allows the discourse to express a meaning as a whole be...
Computational Constancy Measures of Texts—Yule's K and Rényi's Entropy
Computational Constancy Measures Yule's K Renyi's Entropy
2015/9/16
This article presents a mathematical and empirical verification of computational constancy measures for natural language text. A constancy measure characterizes a given text by having an invariant val...
Discriminative Syntax-Based Word Ordering for Text Generation
Syntax-Based Word Ordering Text Generation
2015/9/16
Word ordering is a fundamental problem in text generation. In this article, we study word ordering using a syntax-based approach and a discriminative model. Two grammar formalisms are considered: Comb...
This paper is concerned with automatic generation of all possible questions from a topic of interest. Specifically, we consider that each topic is associated with a body of texts containing useful inf...
Multiple Adjunction in Feature-Based Tree-Adjoining Grammar
Multiple Adjunction Tree-Adjoining Grammar
2015/9/15
In parsing with Tree Adjoining Grammar (TAG), independent derivations have been shown by Schabes and Shieber (1994) to be essential for correctly supporting syntactic analysis, semantic interpretation...
Cross-lingual Sentiment Lexicon Learning With Bilingual Word Graph Label Propagation
Sentiment Lexicon Learning Bilingual Word Graph Label
2015/9/15
In this article we address the task of cross-lingual sentiment lexicon learning, which aims to automatically generate sentiment lexicons for the target languages with available English sentiment lexic...
Manually annotated corpora are indispensable resources, yet for many annotation tasks, such as the creation of treebanks, there exist multiple corpora with different and incompatible annotation guidel...
Concrete Models and Empirical Evaluations for the Categorical Compositional Distributional Model of Meaning
Concrete Models Empirical Evaluations Categorical Compositional Distributional Model
2015/9/15
Modeling compositional meaning for sentences using empirical distributional methods has been a challenge for computational linguists. The categorical model of Clark, Coecke, and Sadrzadeh (2008) and C...
The weak equivalence of Combinatory Categorial Grammar (CCG) and Tree-Adjoining Grammar (TAG) is a central result of the literature on mildly context-sensitive grammar formalisms. However, the categor...
The Operation Sequence Model—Combining N-Gram-Based and Phrase-Based Statistical Machine Translation
Operation Sequence Model Combining N-Gram Phrase-Based Statistical Machine Translation
2015/9/15
In this article, we present a novel machine translation model, the Operation Sequence Model (OSM), which combines the benefits of phrase-based and N-gram-based statistical machine translation (SMT) an...
Entailment rules between predicates are fundamental to many semantic-inference applications. Consequently, learning such rules has been an active field of research in recent years. Methods for learnin...
A Statistical Parsing Framework for Sentiment Classification
Statistical Parsing Framework Sentiment Classification
2015/9/15
We present a statistical parsing framework for sentence-level sentiment classification in this article. Unlike previous works that use syntactic parsing results for sentiment analysis, we develop a st...
Feature-Frequency–Adaptive On-line Training for Fast and Accurate Natural Language Processing
Fast Accurate NaturalLanguage Processing
2015/9/14
Training speed and accuracy are two major concerns of large-scale natural language processing systems. Typically, we need to make a tradeoff between speed and accuracy. It is trivial to improve the tr...