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There Is No Logical Negation Here, But There Are Alternatives: Modeling Conversational Negation with Distributional Semantics
Alternatives Distributional Semantics
2017/4/6
Logical negation is a challenge for distributional semantics, because predicates and their negations
tend to occur in very similar contexts, and consequently their distributional vectors are
very si...
RELPRON: A Relative Clause Evaluation Data Set for Compositional Distributional Semantics
Distributional Semantics assessment
2017/4/6
This article introduces RELPRON, a large data set of subject and object relative clauses, for
the evaluation of methods in compositional distributional semantics. RELPRON targets an
intermediate lev...
Integrating Type Theory and Distributional Semantics: A Case Study on Adjective–Noun Compositions
Integrating Type Theory Distributional Semantics
2017/4/6
In this article, we explore an integration of a formal semantic approach to lexical meaning and an
approach based on distributional methods. First, we outline a formal semantic theory that aims
to c...
Aligning Packed Dependency Trees: A Theory of Composition for Distributional Semantics
Dependency Trees Distributional Semantics
2017/4/6
We present a new framework for compositional distributional semantics in which the distributional
contexts of lexemes are expressed in terms of anchored packed dependency trees. We show
that these s...
Representing Meaning with a Combination of Logical and Distributional Models
semantic Distributional Models
2017/4/6
NLP tasks differ in the semantic information they require, and at this time no single semantic
representation fulfills all requirements. Logic-based representations characterize sentence
structure, ...
Formal Semantics and Distributional Semantics are two very influential semantic frameworks
in Computational Linguistics. Formal Semantics is based on a symbolic tradition and
centered around the inf...
When the Whole Is Less Than the Sum of Its Parts: How Composition Affects PMI Values in Distributional Semantic Vectors
Semantic Vectors PMI Values
2016/7/7
Distributional semantic models, deriving vector-based word representations from patterns of
word usage in corpora, have many useful applications (Turney and Pantel 2010). Recently, there
has been in...
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...
Probabilistic Distributional Semantics with Latent Variable Models
Distributional Semantics Latent Variable Models
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...
A Context-Theoretic Framework for Compositionality in Distributional Semantics
Context-Theoretic semantic
2015/9/10
Formalizing “meaning as context” mathematically leads to a new, algebraic theory of meaning,
in which composition is bilinear and associative. These properties are shared by other methods
that have ...
Distributional Memory:A General Framework for Corpus-Based Semantics
Distributional Memory General Framework Corpus-Based Semantics
2015/9/8
Research into corpus-based semantics has focused on the development of ad hoc models that treat single tasks, or sets of closely related tasks, as unrelated challenges to be tackled by extracting diff...
Co-occurrence Retrieval:A Flexible Framework for Lexical Distributional Similarity
Co-occurrence Retrieval Flexible Framework Lexical Distributional Similarity
2015/8/31
Techniques that exploit knowledge of distributional similarity between words have been proposed in many areas of Natural Language Processing. For example, in language modeling, the sparse data problem...
The phonological-distributional coherence hypothesis: Cross-linguistic evidence in language acquisition
language acquisition coherence hypothesis
2015/8/10
Several phonological and prosodic properties of words have been shown to relate to diVerences
between grammatical categories. Distributional information about grammatical categories
is also a rich s...
Unsupervised grammar induction systems commonly judge potential constituents on the basis of their effects on the likelihood of the data. Linguistic justifications of constituency, on the other hand, ...
Extending the Distributional Bias Hypothesis to the Acquisition of Honorific Morphology in L2 Korean
referent and addressee honorific morphology distributional bias hypothesis addressee-referent honorific combination concatenated affixes
2016/5/3
Korean verbs can be marked with both referent and addressee honorific morphology.An analysis of a teledrama corp us and a phone call corp us shows that these two morp hological classes co-occur in a b...