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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 1151–1175 of 4002 papers

TitleStatusHype
DFKI-MLT System Description for the WMT18 Automatic Post-editing Task—0
Big Data Small Data, In Domain Out-of Domain, Known Word Unknown Word: The Impact of Word Representation on Sequence Labelling Tasks—0
Discourse Relation Sense Classification Using Cross-argument Semantic Similarity Based on Word Embeddings—0
Development of Word Embeddings for Uzbek Language—0
Bilexical Embeddings for Quality Estimation—0
Discovering Bilingual Lexicons in Polyglot Word Embeddings—0
An exploration of the encoding of grammatical gender in word embeddings—0
Bilingual Autoencoders with Global Descriptors for Modeling Parallel Sentences—0
Discovering linguistic (ir)regularities in word embeddings through max-margin separating hyperplanes—0
Discovering Stylistic Variations in Distributional Vector Space Models via Lexical Paraphrases—0
Discretely Coding Semantic Rank Orders for Supervised Image Hashing—0
Discrete Wavelet Transform for Efficient Word Embeddings and Sentence Encoding—0
Bilingual Embeddings and Word Alignments for Translation Quality Estimation—0
Discriminative Acoustic Word Embeddings: Recurrent Neural Network-Based Approaches—0
Discriminative Pre-training for Low Resource Title Compression in Conversational Grocery—0
Disentangling continuous and discrete linguistic signals in transformer-based sentence embeddings—0
An Investigation of the Interactions Between Pre-Trained Word Embeddings, Character Models and POS Tags in Dependency Parsing—0
Development of a Japanese Personality Dictionary based on Psychological Methods—0
Dissecting Contextual Word Embeddings: Architecture and Representation—0
Distance Metric Learning for Aspect Phrase Grouping—0
Distant Supervision and Noisy Label Learning for Low Resource Named Entity Recognition: A Study on Hausa and Yorùbá—0
Improving Word Embedding Factorization for Compression Using Distilled Nonlinear Neural Decomposition—0
Distilled embedding: non-linear embedding factorization using knowledge distillation—0
Distilled Wasserstein Learning for Word Embedding and Topic Modeling—0
Developing Conversational Data and Detection of Conversational Humor in Telugu—0
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