[PDF] Top 20 A corpus based evaluation method for Distributional Semantic Models
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A corpus based evaluation method for Distributional Semantic Models
... itself based on articles from the collaborative encyclopedia ...typical corpus size used in theo- retical studies on LSA (see for instance Landauer and Dumais (1997) and Griffiths et ...each corpus, ... See full document
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Low Dimensional Manifold Distributional Semantic Models
... projection based on a weighted neighborhood graph, Local Linear Embedings (LLE) (Roweis and Saul, 2000) that assigns neighbors to each data point, Random Projections (Baraniuk and Wakin, 2009), (Li et ...lexical ... See full document
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General estimation and evaluation of compositional distributional semantic models
... We extracted distributional semantic vectors us- ing as source corpus the concatenation of ukWaC, Wikipedia (2009 dump) and BNC, 2.8 billion to- kens in total. 7 We use a bag-of-words approach and we ... See full document
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Corpus Driven Terminology Development: Populating Swedish SNOMED CT with Synonyms Extracted from Electronic Health Records
... a semantic resource such as SNOMED ...process, distributional methods can be employed in conjunction with a large corpus of electronic health records to extract synonym candidates for clinical ... See full document
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A SICK cure for the evaluation of compositional distributional semantic models
... The semantic annotation efforts mentioned so far have been done by ...tion method has been used in several international evalu- ation campaigns, among which Cross-Lingual Textual En- tailment (Negri et ... See full document
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A critique of word similarity as a method for evaluating distributional semantic models
... Distributional models of lexical semantics have re- cently attracted considerable interest in the NLP ...of evaluation is becoming more important. While extrinsic (task-based) evaluations are ... See full document
6
Corpus based Semantic Class Mining: Distributional vs Pattern Based Approaches
... As has been mentioned in the introduction part, primarily two types of methodologies are adopted: DS and PB. Syntactic context infor- mation is used in (Hindle, 1990; Ruge, 1992; Lin 1998; Lin and Pantel, 2001; Pantel ... See full document
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Semantic Similarity Computation for Abstract and Concrete Nouns Using Network based Distributional Semantic Models
... tional semantic models (DSMs) [Baroni and Lenci (2010)] are based on the distributional hypothesis of meaning [Harris (1954)] assuming that semantic similarity between words is a ... See full document
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EVALution 1 0: an Evolving Semantic Dataset for Training and Evaluation of Distributional Semantic Models
... the evaluation of Distributional Semantic Models ...several semantic relations between word pairs (in- cluding hypernymy, synonymy, antonymy, ...word semantic field, ... See full document
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JoBimViz: A Web based Visualization for Graph based Distributional Semantic Models
... Figure 2 shows the application layout. First, the user can decide on the model, which consists of a corpus and a holing operation, and select it via the dropdown holing operation selector (3). Then, the user ... See full document
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A Large Scale Evaluation of Distributional Semantic Models: Parameters, Interactions and Model Selection
... space independently of tasks and datasets. We will show that they are systematically involved in a strong interaction and that it is possible to iden- tify a score/transformation combination with robust performance ... See full document
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Learning Diachronic Analogies to Analyze Concept Change
... their method at use cases from the (digital) ...quantitative evaluation. The authors present a method to trace concept vocabularies through a time- stamped corpus based on a set of seed ... See full document
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Fusion of Compositional Network based and Lexical Function Distributional Semantic Models
... Distributional Semantic Models (DSMs) have been successful at modeling the meaning of individual words, with interest recently shift- ing to compositional structures, ...proposed method is ... See full document
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Distributional semantic models for the evaluation of disordered language
... and distributional semantic modeling to these narrative retellings in order to automatically identify these unexpected ...language evaluation and analy- sis methods for improving our understanding of ... See full document
6
Concrete Models and Empirical Evaluations for the Categorical Compositional Distributional Model of Meaning
... language models to treat this sort of bigram as having a higher probability than bigrams that are not semantically coherent sentences (and therefore unlikely to be observed in the ...of semantic similarity, ... See full document
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An Artificial Language Evaluation of Distributional Semantic Models
... PMI models are very good at representing first-order statistical patterns that reflect syntagmatic relationships in language (aka “relatedness” ...SVD-based models attempt to represent both ... See full document
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A Character based Approach to Distributional Semantic Models: Exploiting Kanji Characters for Constructing JapaneseWord Vectors
... Distributional semantic models (henceforth, DSMs) or semantic space models are models for semantic represen- tations and for the way where semantic representations ... See full document
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Crossmodal Network Based Distributional Semantic Models
... the corpus used to esti- mate DSM features can significantly affect ...sual models is the combination of similarity scores esti- mated via the unimodal ...fusion based on the unimodal similarity ... See full document
7
Content selection as semantic based ontology exploration
... ukWaCKy corpus (Baroni et ...Matoll corpus (Walter et ...Matoll corpus pro- vides annotations linking entities mentioned in the text with DBPedia ... See full document
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Using Semantic Distance to Automatically Suggest Transfer Course Equivalencies
... meaning. Semantic distance is typically mea- sured by analyzing a set of documents or a list of terms and assigning a metric based on the likeness of their meaning or the concept they ...some ... See full document
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