Word vectors
Additive Compositionality of Word Vectors
... novel word/sub-word embedding model which we call OLIVE that satisfies exact additive ...pre-trained word vectors of OLIVE are publicly available 1 ...sound word embedding model OLIVE ...
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Specialising Word Vectors for Lexical Entailment
... input word vector space to emphasise the asymmetric relation of lexical entailment (LE), also known as the IS - A or hyponymy-hypernymy ...of word vectors to reflect the actual WordNet- style ...
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Using Word Vectors to Improve Word Alignments for Low Resource Machine Translation
... foreign word vectors in the method, so that if for- eign monolingual data is small or unreliable, we can fall back to only using English word ...
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Learning Word Vectors for 157 Languages
... Distributed word representations, also known as word vec- tors, have been widely used in natural language processing, leading to state of the art results for many ...a word is captured by the ...
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Word and Document Embedding with vMF Mixture Priors on Context Word Vectors
... of vectors: target word vectors and con- text word ...These vectors are normally learned such that they are predictive of some word co-occurrence statistic, but they are oth- ...
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Retrofitting Word Vectors of MeSH Terms to Improve Semantic Similarity Measures
... Build Word Vec- tors step, we build each MeSH term a word vector using the approach described in (Yu et ...Retrofitting Word Vectors retrofits the word vectors using the created ...
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Counter fitting Word Vectors to Linguistic Constraints
... We propose a method that addresses these two drawbacks by using synonymy and antonymy rela- tions drawn from either a general lexical resource or an application-specific ontology to fine-tune dis- tributional word ...
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Unsupervised Learning of Style sensitive Word Vectors
... This paper presents the first study aimed at capturing stylistic similarity between words in an unsupervised manner. We propose extending the continuous bag of words (CBOW) model (Mikolov et al., 2013a) to learn ...
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Word Vectors and Two Kinds of Similarity
... underlying word similarity such as a synonymous relation and an associative relation, no studies have ever examined the relationship be- tween methods for constructing word vectors and the type of ...
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Retrofitting Word Vectors to Semantic Lexicons
... semantic vectors, which we call ...update word vectors ...pre-trained word vectors obtained using any vector training ...new vectors to be (i) simi- lar to the vectors of ...
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Enriching Word Vectors with Subword Information
... We also compare our approach to previous work on word vectors incorporating subword information on word similarity tasks. The methods used are: the recursive neural network of Luong et al. (2013), ...
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A Document Descriptor using Covariance of Word Vectors
... generate word vectors and paragraph vectors using a dummy training ...a word embedding for each document ...Mean vectors and the paragraph vectors. In the word embedding ...
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Community Evaluation and Exchange of Word Vectors at wordvectors org
... space word representations are use- ful for many natural language process- ing ...of word vectors on standard lexical semantics benchmarks and permit exchange and archival by users who wish to find ...
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DeepAlignment: Unsupervised Ontology Matching with Refined Word Vectors
... To address this problem, we present an algo- rithm that extends the one-to-one mappings of the previous step to many-to-many. The basic idea is that some alignments that were omitted by the Sta- ble Marriage solution ...
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Explicit Retrofitting of Distributional Word Vectors
... only vectors of words present in the external constraints, whereas vec- tors of all other (unseen) words remain ...specializing word vectors that unifies the strengths of both prior strategies, while ...
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Learning Word Vectors for Sentiment Analysis
... that word w occurs in T ...a word–topic matrix in which the rows are taken to represent word ...not word meanings, there is no guarantee that the row (word) vectors are sensible ...
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Retrofitting Sense Specific Word Vectors Using Parallel Text
... representing word meanings and modeling the relations between ...of word meaning (Landauer and Du- mais, 1997; Turney et ...single word forms often have multiple ...nearest word to rock to be ...
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Spanish Word Vectors from Wikipedia
... trained vectors and the translated ver- sions of two test sets for evaluation ...train vectors with larger corpora and evaluate them emphasizing in syntactic analogies, our worst results till ...learned ...
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Deep Learning-An Upcoming Technology
... next word in a sequence from a local context of earlier words71. Each word in the context is presented to the network as a one-of-N vector, that is, one component has a value of 1 and the rest are ...each ...
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Non distributional Word Vector Representations
... Linguistic resources like WordNet have found ex- tensive applications in lexical semantics, for ex- ample, for word sense disambiguation, word simi- larity etc. (Resnik, 1995; Agirre et al., 2009). Re- ...
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