vector representations
Phonetic Vector Representations for Sound Sequence Alignment
... data-driven vector representations of the IPA-encoded sound segments for the purpose of sound sequence ...native representations based on the align- ment accuracy in the context of computa- tional ...
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Building Lexical Vector Representations from Concept Definitions
... definition vector representations obtained in this work were evaluated in the SimLex-999 test collection for semantic similarity benchmark (Hill et ...
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Distributed Vector Representations for Unsupervised Automatic Short Answer Grading
... derive vector representations of longer pieces of text, ...word representations of text snippets was employed by early researchers such as (Landauer and Dumais, 1997; Foltz et ...dimensionality ...
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TAG Parsing with Neural Networks and Vector Representations of Supertags
... dense vector representation of supertags (ele- mentary trees) to achieve state-of-the-art performance in unlabeled and labeled at- tachment ...ding vector representations the parser in- duces for ...
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Non distributional Word Vector Representations
... word vector representations using linguistic knowledge derived from pre-constructed linguistic resources like WordNet (Miller, 1995), FrameNet (Baker et ...tor representations are binary while being ...
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Evaluation of Word Vector Representations by Subspace Alignment
... We propose a simple intrinsic evaluation mea- sure for word vectors. Our measure is based on component-wise correlations with manually con- structed “linguistic” word vectors whose compo- nents have well-defined ...
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Sparse Overcomplete Word Vector Representations
... word vector representation ...four vector representations and their corre- sponding hyperparameters selected by this proce- dure are summarized in Table ...
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Subword level Word Vector Representations for Korean
... Word vector representations built from a large cor- pus embed useful semantic and syntactic knowl- edge. They can be used to measure the similar- ity between words and can be applied to various downstream ...
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Linguistically Rich Vector Representations of Supertags for TAG Parsing
... producing vector representa- tions of TAG supertags that can be used as inputs to a neural network-based TAG ...1-hot vector that is projected to a dense ...dense vector. These three ...
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Combining Distributed Vector Representations for Words
... distributed vector represen- tations for words has resulted in an increased diversity of approaches, each with strengths and ...verse vector representations may be inexpen- sively composed into ...
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Word Vector Representations to build an Emojifier using LSTM
... LSTM stands for Long short term memory. It was intro-duced by Sepp Hochreiter and Jurgen Schmidhuber in their paper LONG SHORT-TERM MEMORY” [1] . ”Learning to store information over extended time intervals via recurrent ...
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Correlation based Intrinsic Evaluation of Word Vector Representations
... What are the desired properties of an intrinsic evaluation measure of word embeddings? First, retraining models that use word embeddings as features is often expensive. A computationally ef- ficient intrinsic evaluation ...
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Composing Noun Phrase Vector Representations
... topic: representations of verb phrases (Hashimoto and Tsuruoka, 2016), noun phrases (Baroni and Zamparelli, 2010; Boleda et ...simple vector arithmetics mentioned to vector-matrix composition ...
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Rotated Word Vector Representations and their Interpretability
... word vector representa- tion by using the pre-trained word vectors as in- put and using a basis rotation algorithm from the Exploratory Factor Analysis (EFA) literature used in developing psychological scales ...
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Linguistic Regularities in Continuous Space Word Representations
... the vector-space word representations that are implicitly learned by the input-layer ...these representations are surprisingly good at capturing syntactic and semantic regularities in language, and ...
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Distributional Neural Networks for Automatic Resolution of Crossword Puzzles
... iii a layer for computing the similarity between the obtained intermediate vector representations of the input clues, using a similarity matrix M ∈ Rm×m – an intermediate vector represen[r] ...
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Post Specialisation: Retrofitting Vectors of Words Unseen in Lexical Resources
... Word vector specialisation (also known as retrofitting) is a portable, light-weight ap- proach to fine-tuning arbitrary distributional word vector spaces by injecting external knowledge from rich lexical ...
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Magnitude: A Fast, Efficient Universal Vector Embedding Utility Package
... up vector representations for misspelled or out-of- vocabulary words, quantization of vector models, exact and approximate similarity search, concate- nating multiple vector models together, ...
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Building Compact Entity Embeddings Using Wikidata
... the representations of rare ...as vector addition represent meaningful and non-obvious linguistic relationships such as V + V ≈ V ...build vector representations of phrases and entities of ...
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Evaluating the Underlying Gender Bias in Contextualized Word Embeddings
... These vector representations, which in the end are computed on co-occurrence statistics, exhibit geometric properties resembling the semantics of the relations between ...the vector ...
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