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Towards Topic-to-Question Generation
Towards Topic Question Generation
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2015/9/15
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
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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
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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...
Automatic Adaptation of Annotations
Automatic Adaptation Annotations
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2015/9/15
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
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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...
Lexicalization and Generative Power in CCG
Lexicalization Generative Power CCG
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2015/9/15
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...
Efficient Global Learning of Entailment Graphs
Global Learning Entailment Graphs
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2015/9/15
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...
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
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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...
A Statistical Parsing Framework for Sentiment Classification
Statistical Parsing Framework Sentiment Classification
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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
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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...
A Random Walk–Based Model for Identifying Semantic Orientation
Random Walk–Based Model Identifying Semantic Orientation
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2015/9/14
Automatically identifying the sentiment polarity of words is a very important task that has been used as the essential building block of many natural language processing systems such as text classific...
Probabilistic Distributional Semantics with Latent Variable Models
Distributional Semantics Latent Variable Models
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2015/9/14
We describe a probabilistic framework for acquiring selectional preferences of linguistic predicates and for using the acquired representations to model the effects of context on word meaning. Our fra...
Similarity-Driven Semantic Role Induction via Graph Partitioning
Similarity-Driven Semantic Role Induction Graph Partitioning
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2015/9/14
As in many natural language processing tasks, data-driven models based on supervised learning have become the method of choice for semantic role labeling. These models are guaranteed to perform well w...
Pushdown Automata in Statistical Machine Translation
Pushdown Automata Statistical Machine Translation
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2015/9/14
This article describes the use of pushdown automata (PDA) in the context of statistical machine translation and alignment under a synchronous context-free grammar. We use PDAs to compactly represent t...
Applications of Lexicographic Semirings to Problems in Speech and Language Processing
Lexicographic Semirings Speech and Language Processing
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2015/9/14
This paper explores lexicographic semirings and their application to problems in speech and language processing. Specifically, we present two instantiations of binary lexicographic semirings, one invo...