distributional similarity
End-to-end image captioning exploits multimodal distributional similarity
... ‘distributional similarity’ in a multimodal feature space by mapping a test image to similar training images in this space and generating a caption from the same ...our distributional ...
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Combining Supervised and Unsupervised Parsing for Distributional Similarity
... noun similarity in ...semantic similarity, especially for nouns, is a building block for many NLP applications, we feel that removing the depen- dency on high-quality supervised parsers can give rise to ...
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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 ...
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Co occurrence Retrieval: A Flexible Framework for Lexical Distributional Similarity
... optimal distributional similarity measure, or propose using a radically different distributional similarity measure in each possible application, we propose a flexible, parameterized framework ...
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Sketch Techniques for Scaling Distributional Similarity to the Web
... scale distributional similarity to the web. It can compute similarity between any word pairs that are stored in the sketch and returns similarity be- tween them in O(K) ...
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Finding Medical Term Variations using Parallel Corpora and Distributional Similarity
... In this article we have shown that translational context together with measures of distributional similarity can be used to extract medical term vari- ations from aligned parallel corpora. Automatic word ...
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Measuring the compositionality of NV expressions in Basque by means of distributional similarity techniques
... Even non-compositionality has been considered one of the central features of idiomaticity (Manning and Sch¨utze, 1999), the standard techniques to extract MWEs automati- cally from text have been based until recently on ...
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Exploring Distributional Similarity Based Models for Query Spelling Correction
... strings. Distributional similarity provides such a dimension to view the possibility that one word can be replaced by another based on the statistics of words co-occuring with ...them. Distributional ...
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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 ...
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Reducing Semantic Drift with Bagging and Distributional Similarity
... Unfortunately, semantic drift still dominates in later iterations, since erroneous extracted terms and/or patterns eventually shift the category’s di- rection. Our third contribution focuses on detect- ing and censoring ...
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Distributional Similarity vs PU Learning for Entity Set Expansion
... 3 Data Generation for Distributional Similarity, Bayesian Sets and S-EM Preparing the data for distributional similarity is fairly straightforward. Given the seeds set S, a seeds centroid ...
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Hypernym Discovery Based on Distributional Similarity and Hierarchical Structures
... The precision of each result is shown in Table 1. The results of the k similar words method are far better than those of the other baseline me- thods. In particular, the k similar words method with CVD outperformed the ...
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A Hierarchical Semantics Aware Distributional Similarity Scheme
... Extracting sibling or hierarchical semantic re- lations from corpora forms a different track of research, in which exist ample efforts. Most of them make use of hand-crafted or automatically bootstrapped patterns. ...
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Even Unassociated Features Can Improve Lexical Distributional Similarity
... lexical distributional similarity of the input two words is computed by comparing two vec- tors that express the context of the ...compute similarity by two ...
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Integrating Pattern Based and Distributional Similarity Methods for Lexical Entailment Acquisition
... that distributional similarity cap- tures a quite loose notion of semantic similarity, as exemplified by the pair country – party (iden- tified by Lin's similarity ...
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Finding Word Substitutions Using a Distributional Similarity Baseline and Immediate Context Overlap
... In order to achieve both entailment and general substitutability, we propose to filter the output of a conventional distributional similarity system us- ing a check for lexical substitutability in frequent ...
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Using Distributional Similarity of Multi way Translations to Predict Multiword Expression Compositionality
... as distributional similarity have been commonly applied to infer the semantics of a word/MWE (Schone and Jurafsky, 2001; Baldwin et ...using distributional similarity, the different contexts ...
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Using Distributional Similarity for Lexical Expansion in Knowledge based Word Sense Disambiguation
... the similarity scores used in the lexical expansion step, the overall system is purely knowledge-based because it is not trained on sense-labelled examples; the DT similarities are computed on the basis of an ...
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Reranking Bilingually Extracted Paraphrases Using Monolingual Distributional Similarity
... the distributional similarity met- ric, in its current implementation, is purely based on the pattern of co-occurrence with neighboring con- text ...
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Scaling Distributional Similarity to Large Corpora
... We use this geometric function in our experiments. Gorman and Curran (2005a; 2005b) found the performance of SASH for distributional similarity could be improved by replacing the initial random ordering ...
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