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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 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...
A Random Walk–Based Model for Identifying Semantic Orientation
Random Walk–Based Model Identifying Semantic Orientation
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...
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...
A Scalable Distributed Syntactic,Semantic,and Lexical Language Model
Distributed Syntactic Semantic Lexical
2015/9/10
This paper presents an attempt at building a large scale distributed composite language model that is formed by seamlessly integrating an n-gram model, a structured language model, and probabilistic l...
A Flexible,Corpus-Driven Model of Regular and Inverse Selectional Preferences
Flexible Corpus-Driven Model Regular Inverse Selectional Preferences
2015/9/8
We present a vector space–based model for selectional preferences that predicts plausibility scores for argument headwords. It does not require any lexical resources (such as WordNet). It can be train...
A Twin-Candidate Model for Learning-Based Anaphora Resolution
Computing language Twin-Candidate
2015/9/6
The traditional single-candidate learning model for anaphora resolution considers the antecedent
candidates of an anaphor in isolation, and thus cannot effectively capture the preference relationship...
We present a model for semantic role labeling that effectively captures the linguistic intuition that a semantic argument frame is a joint structure, with strong dependencies among the arguments. We s...
A Unified Model for Soft Linguistic Reordering Constraints in Statistical Machine Translation
Soft Linguistic Reordering Constraints Statistical Machine Translation
2015/9/2
This paper explores a simple and effective unified framework for incorporating soft linguistic reordering constraints into a hierarchical phrase-based translation system: 1) a syntactic reordering mod...
A Mathematical Model of Historical Semantics and the Grouping of Word Meanings into Concepts
Historical Semantics Word Meanings
2015/8/31
A statistical analysis of polysemy in sixteen English and French dictionaries has revealed
that, in each dictionary, the number of senses per word has a near-exponential distribution.
A probabilisti...
This article documents a large set of heretofore unpublished details Collins used in his parser, such that, along with Collins’ (1999) thesis, this article contains all information necessary to duplic...
A Model for Matching Semantic Maps between Languages (French/English,English/French)
Matching Semantic Maps Languages
2015/8/28
This article describes a spatial model for matching semantic values between two languages, French and English. Based on semantic similarity links, the model constructs a map that represents a word in ...
A Statistical Model for Word Discovery in Transcribed Speech
Transcribed Speech Word Discovery
2015/8/26
A statistical model for segmentation and word discovery in continuous speech is presented. An
incremental unsupervised learning algorithm to infer word boundaries based on this model is
described. R...
An important aspect of the interpretation of multimodal messages is the ability to identify when
the same object in the world is the referent of symbols in different modalities. To understand the
ca...
Boundary effects in a three-state modified voter model for languages
Monte Carlo simulation opinion dynamics language choice
2015/7/29
The standard three-state voter model is enlarged by including the outside pressure favouring one of the three language choices and by adding some biased internal random noise. The Monte Carlo simulati...