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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 3001–3025 of 4002 papers

TitleStatusHype
Neural Machine Translation between Myanmar (Burmese) and Rakhine (Arakanese)—0
Neural Machine Translation for Tamil–Telugu Pair—0
Neural Machine Translation from Historical Japanese to Contemporary Japanese Using Diachronically Domain-Adapted Word Embeddings—0
Neural Machine Translation of Logographic Language Using Sub-character Level Information—0
Neural Metaphor Detection with a Residual biLSTM-CRF Model—0
Neural Morphological Tagging from Characters for Morphologically Rich Languages—0
Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review—0
Neural Networks and Spelling Features for Native Language Identification—0
Neural Networks for Cross-lingual Negation Scope Detection—0
Neural Networks For Negation Scope Detection—0
Neural Networks Leverage Corpus-wide Information for Part-of-speech Tagging—0
Neural Question Answering at BioASQ 5B—0
Neural Scoring Function for MST Parser—0
Neural sequence labeling for Vietnamese POS Tagging and NER—0
Neural Sparse Topical Coding—0
Neural-Symbolic Relational Reasoning on Graph Models: Effective Link Inference and Computation from Knowledge Bases—0
Neural Text Classification by Jointly Learning to Cluster and Align—0
Neural Text Simplification in Low-Resource Conditions Using Weak Supervision—0
Neural word embeddings with multiplicative feature interactions for tensor-based compositions—0
NEUROSENT-PDI at SemEval-2018 Task 1: Leveraging a Multi-Domain Sentiment Model for Inferring Polarity in Micro-blog Text—0
NEUROSENT-PDI at SemEval-2018 Task 3: Understanding Irony in Social Networks Through a Multi-Domain Sentiment Model—0
NEUROSENT-PDI at SemEval-2018 Task 7: Discovering Textual Relations With a Neural Network Model—0
Neutralizing Gender Bias in Word Embedding with Latent Disentanglement and Counterfactual Generation—0
Neutralizing Gender Bias in Word Embeddings with Latent Disentanglement and Counterfactual Generation—0
New Embedded Representations and Evaluation Protocols for Inferring Transitive Relations—0
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