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Word Embeddings

Word embedding is the collective name for a set of language modeling and feature learning techniques in natural language processing (NLP) where words or phrases from the vocabulary are mapped to vectors of real numbers.

Techniques for learning word embeddings can include Word2Vec, GloVe, and other neural network-based approaches that train on an NLP task such as language modeling or document classification.

( Image credit: Dynamic Word Embedding for Evolving Semantic Discovery )

Papers

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Showing 2426–2450 of 4002 papers

TitleStatusHype
A Review of Standard Text Classification Practices for Multi-label Toxicity Identification of Online Content—0
Neural Machine Translation of Logographic Language Using Sub-character Level Information—0
Tree-Stack LSTM in Transition Based Dependency ParsingCode0
UDPipe 2.0 Prototype at CoNLL 2018 UD Shared Task—0
Vectorial Semantic Spaces Do Not Encode Human Judgments of Intervention Similarity—0
Bringing Order to Neural Word Embeddings with Embeddings Augmented by Random Permutations (EARP)—0
SParse: Ko University Graph-Based Parsing System for the CoNLL 2018 Shared Task—0
A Morphology-Based Representation Model for LSTM-Based Dependency Parsing of Agglutinative LanguagesCode0
Modelling Salient Features as Directions in Fine-Tuned Semantic SpacesCode0
Resources to Examine the Quality of Word Embedding Models Trained on n-Gram Data—0
CEA LIST: Processing Low-Resource Languages for CoNLL 2018Code0
Learning Text Representations for 500K Classification Tasks on Named Entity DisambiguationCode0
Turku Neural Parser Pipeline: An End-to-End System for the CoNLL 2018 Shared Task—0
Phrase-level Self-Attention Networks for Universal Sentence Encoding—0
Joint Learning for Targeted Sentiment Analysis—0
Transfer and Multi-Task Learning for Noun--Noun Compound Interpretation—0
Cross-lingual Lexical Sememe PredictionCode0
Deep Pivot-Based Modeling for Cross-language Cross-domain Transfer with Minimal GuidanceCode0
A Challenge Set and Methods for Noun-Verb Ambiguity—0
Continuous Word Embedding Fusion via Spectral Decomposition—0
NORMA: Neighborhood Sensitive Maps for Multilingual Word Embeddings—0
Conditional Word Embedding and Hypothesis Testing via Bayes-by-Backprop—0
Disambiguated skip-gram model—0
Self-Governing Neural Networks for On-Device Short Text ClassificationCode0
Coming to Your Senses: on Controls and Evaluation Sets in Polysemy Research—0
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