[PDF] Top 20 Measuring Distributional Similarity in Context
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Measuring Distributional Similarity in Context
... The contextualized representations were next evaluated on lexical substitution (McCarthy and Navigli, 2007). The task requires systems to find appropriate substitutes for target words occurring in context. ... See full document
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Feature Vector Quality and Distributional Similarity
... Distributional Similarity has been an active re- search area for more than a decade (Hindle, 1990), (Ruge, 1992), (Grefenstette, 1994), (Lee, 1997), (Lin, 1998), (Dagan et ...Harris distributional ... See full document
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Comparing Similarity Measures for Distributional Thesauri
... parameters: similarity measures, frequency thresholds and association ...thesauri, measuring inter-thesaurus agreement when testing different parameter ...than similarity measures, with more ... See full document
8
Characterising Measures of Lexical Distributional Similarity
... Over recent years, many Natural Language Pro- cessing (NLP) techniques have been developed that might benefit from knowledge of distribu- tionally similar words, i.e., words that occur in similar contexts. For example, ... See full document
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Scaling Distributional Similarity to Large Corpora
... Table 1: Extracted Context Information give an inverse rank score of 1 3 + 1 5 + 28 1 . With at most 100 matching synonyms, the maximum I NV R is 5.187. This more fine grained as it in- corporates the both the ... See full document
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Sketch Techniques for Scaling Distributional Similarity to the Web
... the context for a given word “x” as the sur- rounding words appearing in a window of 2 words to the left and 2 words to the ...The context words are concatenated along with their positions -2, -1, +1, and ... See full document
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Finding Synonyms Using Automatic Word Alignment and Measures of Distributional Similarity
... Context vectors are compared with each other in order to calculate the distributional similarity between words. Several measures have been pro- posed. Curran and Moens (2002) report on a large- scale ... See full document
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Combining Supervised and Unsupervised Parsing for Distributional Similarity
... employ context representations based on syntactic parsing for computing word ...the similarity between two terms using the WordNet::Similarity path measure (Pedersen et ... See full document
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Matching the Blanks: Distributional Similarity for Relation Learning
... Harris’ distributional hypothesis (Harris, 1954) to relations, as well as recent advances in learning word representations from observations of their contexts (Mikolov et ... See full document
11
Predicting the relevance of distributional semantic similarity with contextual information
... to distributional thesauri (Curran, 2004; Poibeau and Messiant, ...a distributional resource with respect to an existing synonym dictionary or similarity judg- ment produced by human subjects (Pado ... See full document
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Web Scale Distributional Similarity and Entity Set Expansion
... the distributional similarity model seems to have enough statistics to discover as many new correct instances as it could ever ...the distributional si- milarity model since they either do not occur ... See full document
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Hypernym Discovery Based on Distributional Similarity and Hierarchical Structures
... the distributional similarity based on RVD, we use the triple <v, rel, n>, where v is a verb, n is a noun phrase, and rel stands for the relation between v and ...The distributional ... See full document
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Measuring semantic content in distributional vectors
... in distributional semantics as a representation of lex- ical ...human similarity judgements (Lund, Burgess and Atchley, 1995), and also reproduce some of the features given by test subjects when asked to ... See full document
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A Hierarchical Semantics Aware Distributional Similarity Scheme
... tic similarity, and the type of the context is a main ...of context types have been proposed to capture the underlying semantic inter- actions between linguistic objects, including text- window based ... See full document
9
Antonymy and Canonicity: Experimental and Distributional Evidence
... a distributional interpretation of the concept of “salient dimension” as similarity of the nominal contexts co-occurring with ...with distributional vectors and used the cosine as a measure of ... See full document
10
Measuring Thematic Fit with Distributional Feature Overlap
... As a baseline, we use the thematic fit model by Baroni and Lenci 2010, with no ranking of the features of the prototypes and with vector cosine as a similarity metric.11 Results are repo[r] ... See full document
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Measuring the compositionality of NV expressions in Basque by means of distributional similarity techniques
... A slight different approach has been adopted in LSA. The contiguous cooccurrences of the members of each bigram have been represented as single tokens in the corpus to be processed by Infomap. Only content-bearing words ... See full document
6
A Study on Similarity and Relatedness Using Distributional and WordNet based Approaches
... the context of the corpus used, and Budanitsky and Hirst (2006) highlight other prob- lems that stem from the imbalance and sparseness of the ...that distributional similarities can perform as well as the ... See full document
9
Evaluating Topic Coherence Using Distributional Semantics
... cosine similarity using PMI is consistently higher ...the context features of the topic words is ...cosine similarity scores in the reduced semantic space are higher than average PMI and NPMI in all ... See full document
9
Probabilistic Modeling of Joint context in Distributional Similarity
... traditional distributional similarity models fail to capture syntagmatic patterns that group together multiple word features within the same joint ...generic distributional similarity scheme ... See full document
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