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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 2876–2900 of 4002 papers

TitleStatusHype
Neural Fine-Grained Entity Type Classification with Hierarchy-Aware LossCode0
Improving Optimization for Models With Continuous Symmetry Breaking—0
The emergent algebraic structure of RNNs and embeddings in NLP—0
Query and Output: Generating Words by Querying Distributed Word Representations for Paraphrase GenerationCode0
Concatenated Power Mean Word Embeddings as Universal Cross-Lingual Sentence RepresentationsCode0
Understanding and Improving Multi-Sense Word Embeddings via Extended Robust Principal Component Analysis—0
Exploring Word Sense Disambiguation Abilities of Neural Machine Translation Systems (Non-archival Extended Abstract)—0
A Fast Deep Learning Model for Textual Relevance in Biomedical Information Retrieval—0
URLNet: Learning a URL Representation with Deep Learning for Malicious URL DetectionCode0
A Neurobiologically Motivated Analysis of Distributional Semantic Models—0
Semantic projection: recovering human knowledge of multiple, distinct object features from word embeddings—0
Disunited Nations? A Multiplex Network Approach to Detecting Preference Affinity Blocs using Texts and Votes—0
A novel methodology on distributed representations of proteins using their interacting ligands—0
Unsupervised Open Relation ExtractionCode0
Early Detection of Social Media Hoaxes at Scale—0
A Survey of Word Embeddings Evaluation MethodsCode0
A Resource-Light Method for Cross-Lingual Semantic Textual SimilarityCode0
WEAC: Word embeddings for anomaly classification from event logs—0
Contextual and Position-Aware Factorization Machines for Sentiment Classification—0
Biomedical Question Answering via Weighted Neural Network Passage Retrieval—0
Recognition of Hyponymy and Meronymy Relations in Word Embeddings for Polish—0
Wordnet-based Evaluation of Large Distributional Models for Polish—0
ReferenceNet: a semantic-pragmatic network for capturing reference relations.—0
Multilingual Wordnet sense Ranking using nearest context—0
An Iterative Approach for Unsupervised Most Frequent Sense Detection using WordNet and Word Embeddings—0
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