word similarity
A Comparison of Greedy and Optimal Assessment of Natural Language Student Input Using Word to Word Similarity Metrics
... Our novel method to assess a student contribution against an expert-generated answer relies on the compositionality principle and the sailor assignment algorithm that was proposed to solve the assignment problem, a ...
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Word similarity using constructions as contextual features
... of word similarity applica- tion which itself feeds numerous other applica- ...known word general- ize to the unknown word(s) and which patterns do ...to word similarity ...
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Problems With Evaluation of Word Embeddings Using Word Similarity Tasks
... each word similarity dataset individually into tun- ing and test set and reported results on the test ...evaluation Word similarity evaluation measures how well the notion of word ...
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Improving word similarity by using ppmic with estimates of word polysemy
... Semantic similarity is a metric defined over a set of documents or terms, where the idea of distance between them is based on the likeness of their meaning or semantic content which can be estimated regarding ...
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Symmetric Pattern Based Word Embeddings for Improved Word Similarity Prediction
... novel word level vector rep- resentation based on symmetric patterns ...represented word with another word of the ...symmetric word relationships, it is highly suitable for word ...
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Walk based Computation of Contextual Word Similarity
... the similarity between the dependency (sub)trees surrounding the target words, it should be noted that our goal is to measure the similarity of particular word pairs in two sentences, and not of the ...
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Relation extraction pattern ranking using word similarity
... ing word similarity measures within pattern ranking approaches in bootstrapping systems for relation ex- ...of word similarity will be dependent, that of pattern representation and pat- tern ...
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Frequency Estimates for Statistical Word Similarity Measures
... of word similarity have ap- plication in many areas of natural language pro- cessing, such as language modeling and in- formation ...estimating word co- occurrence frequencies required by word ...
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Improving sparse word similarity models with asymmetric measures
... to word similarity becomes clear when we consider that for many applications, word similarity measures need to be well-defined when comparing very fre- quent words with infrequent ...a ...
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Sub Word Similarity based Search for Embeddings: Inducing Rare Word Embeddings for Word Similarity Tasks and Language Modelling
... and word similarity tasks that we used in our experiments are shown in Table 1 and Table ...for word similarity tasks and of rare-word set size for language modelling ...missing ...
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Improving Word Alignment using Word Similarity
... for word similarity probabilities, but an automatic method would be ...the word similarity model, which can automatically be trained from monolingual data, and then consider a more practical ...
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Syntactic Features and Word Similarity for Supervised Metonymy Resolution
... additional similarity levels and inte- grating a thesaurus we further generalise the kind of inferences we can make and limit the size of anno- tated training data: as our sampling frame contains 553 different ...
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A Study on Word Similarity using Context Vector Models
... We adopted two methods for measuring similarity; one used Equation TF × IDF, and the other used Equation TF. The results are shown in Figure 3 to Figure 6 in the Appendix. We measured the performance by computing ...
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Contextual Word Similarity and Estimation From Sparse Data
... The similarity based estimation method was used to estimate the expected frequency of unobserved cooccurrence pairs, in cases where none of the alternative pairs occurred in the corpus e[r] ...
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PHACTS about activation based word similarity effects
... tic distance between two strings, as it is calculated by the speaker when (s)he is asked to judge the phonotactic acceptability of an isolated non-word. To test this hypothesis, the average cosine value of each ...
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Word net based Method for Determining Semantic Sentence Similarity through various Word Senses
... Semantic similarity is a confidence score that replicates semantic equivalence between the meanings of two ...the similarity among sentences is one of the critical tasks which have a wide-ranging impact in ...
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Similarity Based Estimation of Word Cooccurrence Probabilities
... We describe a probabilistic word association model based on distributional word similarity, and apply it to improving probability estimates for unseen word bigrams in a variant of Katz's[r] ...
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Word Vectors and Two Kinds of Similarity
... nomic similarity between words, they are likely to have a scale-free ...ciative similarity may not have a scale-free struc- ...taxonomic similarity, while the LSA-based word vectors better ...
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A Novel Approach of Syntactic Similarity of Question Analogous System
... use word similarity methods which is divided into two group corpus based method and dictionary based ...and word similarity measure based on Word Net from total sentence ...
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Learning Topic Sensitive Word Representations
... per word due to the ambiguous nature of language (Qiu et ...cluster word contexts and use the average embedding of each cluster as word sense embeddings, which yields improvements on a word ...
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