Linguistic Regularities in Continuous Space Word Representations

scientific article (publication date: June 2013)

Linguistic Regularities in Continuous Space Word Representations is …
instance of (P31):
scholarly articleQ13442814

External links are
P953full work available at URLhttp://www.aclweb.org/anthology/N13-1090

P50authorWen-tau YihQ55394763
Tomáš MikolovQ24698708
P2093author name stringGeoffrey Zweig
P2860cites workA Neural Probabilistic Language ModelQ29517961
P4510describes a project that usesMicrosoft Research Syntactic Analogies DatasetQ55387870
SemEval 2012 Task 2 datasetQ55387953
P407language of work or nameEnglishQ1860
P921main subjectword embeddingQ18395344
P304page(s)746-751
P577publication date2013-06-01
P1433published inProceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language TechnologiesQ28949679
P1476titleLinguistic Regularities in Continuous Space Word Representations

Reverse relations

cites work (P2860)
Q47462880Better Word Representations with Recursive Neural Networks for Morphology
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Q115497766Compiling a Suitable Level of Sense Granularity in a Lexicon for AI Purposes: The Open Source COR Lexicon
Q87133557Creating Semantic Representations
Q27861647Distributed Representations of Sentences and Documents
Q24731579Distributed Representations of Words and Phrases and their Compositionality
Q24699014Efficient Estimation of Word Representations in Vector Space
Q65924308Fitting Semantic Relations to Word Embeddings
Q45517435Hash2Vec, Feature Hashing for Word Embeddings
Q55375928Issues in evaluating semantic spaces using word analogies
Q51950823Learning Grounded Meaning Representations with Autoencoders
Q44794248Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
Q31888978Spanish word vectors from Wikipedia
Q44544471Structured Embedding Models for Grouped Data
Q61895831The word analogy testing caveat

Q55387870Microsoft Research Syntactic Analogies Datasetdescribed by sourceP1343

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