[PDF] Top 20 Compositional Expectation: A Purely Distributional Model of Compositional Semantics
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Compositional Expectation: A Purely Distributional Model of Compositional Semantics
... [r] ... See full document
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Studying the Recursive Behaviour of Adjectival Modification with Compositional Distributional Semantics
... of compositional distributional semantic models, and that the seman- tic information contained in these models character- izes which AA will have rigid order (as with rapid social change ...same ... See full document
11
Compositional ly Derived Representations of Morphologically Complex Words in Distributional Semantics
... on compositional DSMs ...tributional semantics, there have been attempts to compose meanings for sentences and larger pas- sages (Landauer and Dumais, 1997), but inter- est in compositional DSMs has ... See full document
10
Distributional semantic phrases vs. semantic distributional nonsense: Adjective Modification in Compositional Distributional Semantics
... a distributional proxy to the meaning of an expression, a meaningless expression should in general have low values across the semantic space ...a model-generated AN vector to be a significant factor in the ... See full document
129
Formal Distributional Semantics: Introduction to the Special Issue
... years, distributional models have been extended to handle the semantic composition of words into phrases and longer constituents (Baroni and Zamparelli 2010; Mitchell and Lapata 2010; Socher et ...Formal ... See full document
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A Unified Sentence Space for Categorical Distributional Compositional Semantics: Theory and Experiments
... fact, compositional abilities of distributional models have been subject of much discussion and research in recent ...formal semantics view, paying little attention to the grammatical relations that ... See full document
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A relatedness benchmark to test the role of determiners in compositional distributional semantics
... Distributional semantics models (DSMs) approx- imate meaning with vectors that record the dis- tributional occurrence patterns of words in cor- pora. DSMs have been effectively applied to in- creasingly ... See full document
5
A practical and linguistically motivated approach to compositional distributional semantics
... our model suitable to compute vector representations of sentences with- out stumbling at unseen syntactic usages of ...function model that inherits its strengths and overcomes its ... See full document
10
Experimental Support for a Categorical Compositional Distributional Model of Meaning
... and distributional mod- els of lexical semantics (Schutze, 1998; Firth, 1957) have provided two partial orthogonal solutions to the ...question. Compositional formal semantic models stem from ... See full document
11
Multilingual Models for Compositional Distributed Semantics
... We present a novel technique for learn- ing semantic representations, which ex- tends the distributional hypothesis to mul- tilingual data and joint-space embeddings. Our models leverage parallel data and learn to ... See full document
11
The Forest Convolutional Network: Compositional Distributional Semantics with a Neural Chart and without Binarization
... RNN model handles one extreme where this set contains only one ...new model work- ing on charts in the CKY style (Younger, 1967), called Chart Neural Network ... See full document
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Distributional Semantics and Compositionality 2011: Shared Task Description and Results
... applying distributional mod- els that assign a graded compositionality score to a phrase, as well as researchers interested in express- ing compositional meaning with such ... See full document
8
RELPRON: A Relative Clause Evaluation Data Set for Compositional Distributional Semantics
... to model the full tensor, but investigate two approximations, based on the methods of Paperno, Pham, and Baroni ...to model the verb as a pair of matrices with semantic type S ⊗ ... See full document
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Detecting Learner Errors in the Choice of Content Words Using Compositional Distributional Semantics
... alm model provides a theoretically more appropriate way of representing ANs based on this asymmetry: nouns are represented by their distributional vectors, while attributive adjectives are functions mapping ... See full document
12
Low Rank Tensors for Verbs in Compositional Distributional Semantics
... prediction model (Bengio et ...positional distributional semantics (CDS): com- bining the distributional representations for words, often in a syntax-driven fashion, to produce distri- ... See full document
6
Estimating Linear Models for Compositional Distributional Semantics
... additive model (BAM) with different values for parameter α (where β = 1 − α) and EAM computed for dif- ferent approximations of the SVD pseudo-inverse matrix ... See full document
9
A Frobenius Model of Information Structure in Categorical Compositional Distributional Semantics
... categorical model of Coecke et ...we model intonational bound- aries (the devices for defining information struc- ture in English) by using the multiplication part of the Frobenius algebra that is ... See full document
13
Multi Step Regression Learning for Compositional Distributional Semantics
... Reducing co-occurrence vectors to lower dimensionality is a common step in the construction of dis- tributional semantic models. Extensive evidence suggests that dimensionality reduction does not affect, and might even ... See full document
11
Algebraic Approaches to Compositional Distributional Semantics
... Montague semantics. However, their version of Montague semantics assumed a particular model, and thus effectively mapped sentences to truth ...Montague semantics in which sentences are mapped ... See full document
5
Linear Compositional Distributional Semantics and Structural Kernels
... a model for composi- tional distributional semantics stems from some basic vector combination operations and, then, these operations are recursively applied on the parse tree on the sequence of words ... See full document
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