vector-space
Vector Space Semantic Parsing: A Framework for Compositional Vector Space Models
... While vector space representations for indi- vidual words are well-understood, there remains much uncertainty about how to compose vector space representations for phrases out of their com- ...
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Cross Lingual Induction and Transfer of Verb Classes Based on Word Vector Space Specialisation
... Recently, unsupervised methods for inducing dis- tributed word vector space representations or word embeddings (Mikolov et al., 2013a) have been suc- cessfully applied to a plethora of NLP tasks (Turian et ...
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A Vector Space for Distributional Semantics for Entailment
... a vector-space model of whether features are known or unknown, we start with dis- crete binary vectors, where 1 means known and 0 means ...our vector space are not independent, and therefore ...
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Extension of n dimensional Euclidean vector space En over ℝ to pseudo fuzzy vector space over Fp1(1)
... fuzzy vector space is a pair E = (E,µ) , where E is a vector space and µ : E → [ 0 , 1 ] with the property that, for all a,b ∈ R and x,y ∈ E , we have µ(ax + by) ≥ µ(x)∧ µ(y) ...a ...
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Applicative structure in vector space models
... Section 2 offers a method to treat antonymy in continuous vector space models (CVSMs). Sec- tion 3 describes a new embedding, 4lang, obtained by spectral clustering from the definitional frame- work of the ...
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A Generative Model of Vector Space Semantics
... for vector space representations of word and phrase mean- ing, by providing an explicit probabilistic process by which natural language expressions are gener- ated from vectors in a continuous space ...
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Design and analysis of a general vector space model for data classification in Internet of Things
... However, there are still some challenges in text classifi- cation, and the accuracy of classification needs to be im- proved. In order to achieve better classification effect, in this paper, a new text classification ...
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Neural Vector Conceptualization for Word Vector Space Interpretation
... word vector spaces are consid- ered hard to interpret which hinders the under- standing of natural language processing (NLP) ...original vector space and is capable of learning non-linear relations ...
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Traversing Knowledge Graphs in Vector Space
... using vector space representations: Controlling the di- mensionality of the vector space forces generaliza- tion to new facts (Nickel et ...
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Looking for Hyponyms in Vector Space
... in vector space ...their vector offset, for example, we could find the vector for word “queen” by performing the op- eration “king - man + woman” on corresponding ...the vector ...
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Vector Space Models for Scientific Document Summarization
... Our vector space model uses the TF representation of the text and a low rank approximation of the term-sentence matrix using ...TF vector space model is a good basic model, but we showed that ...
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Sense level Subjectivity in a Multilingual Setting
... feature space based on the model proposed in (Banea et ...ture space by merging together two aligned vector space representations (see the multilingual vector example above), thus ...
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Projections and Reflections in Vector Space
... We study projections onto a subspace and reflections with respect to a subspace in an arbitrary vector space with an inner product. We give necessary and sufficient conditions for two such transformations ...
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Unsupervised Aspect Based Multi Document Abstractive Summarization
... a vector space, and to generate fluent sentences from the same vector space (ii) a clustering step that groups together reviews about the same aspects and allows the system to generate summary ...
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Lexical Transfer Using a Vector Space Model
... Building a bilingual dictionary for transfer in a machine translation system is conventionally done by hand and is very time-consuming. In order to overcome this bottleneck, we propose a new mechanism for lexical ...
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Improving the relevancy of document search using the multi term adjacency keyword order model
... enhanced vector space model, Multi-Term Adjacency Keyword-Order Model, to improve the relevancy of search results, specifically document ...document vector being moved closer to the query ...
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Representing words as regions in vector space
... chology, vector space models have been used to model synonymy (Landauer and Dumais, 1997; Pad´o and Lapata, 2007), lexical priming phenom- ena (Lowe and McDonald, 2000), and similarity judgments (McDonald ...
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Multi Renewable Sources With Space Vector Modulation
... 3. SPACE VECTOR MODULATION A different approach to SPWM is based on the space vector representation of voltages in the d, q ...Fig:5 space vector shows space vectors in ...
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Taking Antonymy Mask off in Vector Space
... by vector cosine (Turney and Pantel, ...the vector space typically include hypernyms like building, co-hyponyms like house, meronyms like brick, antonyms like shack, together with other semantically ...
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Space Vector Modulation Strategy for NPC Converter
... SPWM, space vector modulation (SVPWM) schemes have a lot of merits such as fast dynamic response, larger linear range of fundamental voltage, high dc link voltage utilization, low output voltage distortion, ...
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