[PDF] Top 20 General estimation and evaluation of compositional distributional semantic models
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General estimation and evaluation of compositional distributional semantic models
... Training by approximating the corpus-extracted phrase vectors requires corpus-based examples of input (constituent word) and output (phrase) vec- tors for the composition processes to be learned. In all cases, training ... See full document
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A SICK cure for the evaluation of compositional distributional semantic models
... In 2005, the PASCAL RTE (Recognizing Textual Entail- ment) challenge was launched, to become a task organized year after year by the associations responsible for the main international evaluation campaigns. The ... See full document
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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 ... See full document
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Concrete Models and Empirical Evaluations for the Categorical Compositional Distributional Model of Meaning
... in general hold in a pregroup; this is not a surprise as pregroups are a simplification of the Lambek Calculus and these rules did not hold in the Lambek Calculus either, as shown in Moortgat (1997), for ...In ... See full document
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Polish evaluation dataset for compositional distributional semantics models
... an evaluation dataset for validating compositional distributional seman- tics models of Polish generally builds on steps de- signed to assemble the SICK corpus (described in Section ...dataset ... See full document
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Distributional semantic models for the evaluation of disordered language
... Because structured language assessment tools are not always sensitive to the particular atypical seman- tic and pragmatic expression associated with ASD, measures of atypical language are often drawn from spontaneous ... See full document
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Distributional Semantics and Compositionality 2011: Shared Task Description and Results
... the evaluation methodology and the results of participating ...The evaluation reveals that most systems outperform simple baselines, yet have difficulties in reliably assigning a compo- sitionality score ... See full document
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Typology of Adjectives Benchmark for Compositional Distributional Models
... of semantic relatedness, tar- geted at the semantic aspects of phrase similarity rely- ing on translation equivalent statistics in many ...of compositional distributional models on this ... See full document
5
Lexical Substitution for Evaluating Compositional Distributional Models
... Compositional Distributional Semantic Mod- els (CDSMs) model the meaning of phrases and sentences in vector ...as semantic sentence simi- larity on hand-constructed ...tution models. We ... See full document
6
Fusion of Compositional Network based and Lexical Function Distributional Semantic Models
... For evaluation purposes, we used the widely-used Mitchell & Lapata (2010) datasets comprising of 108 noun-noun (NN), adjective-noun (AN), and verb-object (VO) phrase pairs, evaluated by human judgements and ... See full document
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Concrete Sentence Spaces for Compositional Distributional Models of Meaning
... a compositional distri- butional model of ...standard distributional models of word meaning. We leave full evaluation to future work, in order to determine whether the following method in ... See full document
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EVALution 1 0: an Evolving Semantic Dataset for Training and Evaluation of Distributional Semantic Models
... and general-purpose resources, such as WordNet (Fellbaum, ...DSMs evaluation for sev- eral reasons: i.) general-purpose resources need to be inclusive and comprehensive, and therefore they either ... See full document
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Squibs: When the Whole Is Not Greater Than the Combination of Its Parts: A “Decompositional” Look at Compositional Distributional Semantics
... Resulting compositional distributional semantic models (CDSMs) estimate degrees of seman- tic similarity (or, more generally, relatedness) between two phrases: A good CDSM might tell us that ... See full document
10
Literal and Metaphorical Senses in Compositional Distributional Semantic Models
... our models on the metaphor classification tasks demonstrates that there is in- formation about metaphoricity of a phrase inher- ent in the composition of the meanings of its ... See full document
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Towards Syntax aware Compositional Distributional Semantic Models
... Compositional distributional semantics models (CDSMs) are functions mapping text fragments to vectors (or higher-order ...map distributional vectors of words to distributional vectors ... See full document
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Proceedings of the Workshop on Continuous Vector Space Models and their Compositionality
... space models from the neural network literature, which are usually motivated as a way of tackling data sparsity ...space models, their compositionality and how to use this new kind of representation in NLP ... See full document
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Capturing Anomalies in the Choice of Content Words in Compositional Distributional Semantic Space
... use compositional models which combine distributional vectors for the component words in some way, for example, using a di- rect vector combination function (Kintsch, 2001; Mitchell and Lapata, 2008; ... See full document
8
CCG Categories for Distributional Semantic Models
... The distributional semantic approach is based on the idea that the meaning of a word relies heavily on its ...based Distributional Semantic Models (DSMs) have been tested against ... See full document
8
An Automated Complex Word Identification from Text: A Survey
... Complex Word Identification (CWI) is the process of locating difficult words from a given sentence. The aim of automated CWI system is to make non- native English user understand the meaning of target word in the ... See full document
6
Content selection as semantic based ontology exploration
... Natural Language (NL) based access to informa- tion contained in Knowledge Bases (KBs) has been tackled by approaches following different paradigms. One strand of research deals with the task of ontology-based data ... See full document
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