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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

Showing 10511075 of 4002 papers

TitleStatusHype
Disentangling dialects: a neural approach to Indo-Aryan historical phonology and subgroupingCode0
Discriminating between Lexico-Semantic Relations with the Specialization Tensor ModelCode0
Deep word embeddings for visual speech recognitionCode0
Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling MechanismsCode0
Bad Company---Neighborhoods in Neural Embedding Spaces Considered HarmfulCode0
Discovering emergent connections in quantum physics research via dynamic word embeddingsCode0
Definition Frames: Using Definitions for Hybrid Concept RepresentationsCode0
Definition Modeling: Learning to define word embeddings in natural languageCode0
A Neural Generative Model for Joint Learning Topics and Topic-Specific Word EmbeddingsCode0
DefSent+: Improving sentence embeddings of language models by projecting definition sentences into a quasi-isotropic or isotropic vector space of unlimited dictionary entriesCode0
Degree-Aware Alignment for Entities in TailCode0
BB_twtr at SemEval-2017 Task 4: Twitter Sentiment Analysis with CNNs and LSTMsCode0
Distilling Semantic Concept Embeddings from Contrastively Fine-Tuned Language ModelsCode0
A Neural Language Model for Dynamically Representing the Meanings of Unknown Words and Entities in a DiscourseCode0
Effective Dimensionality Reduction for Word EmbeddingsCode0
Domain Adapted Word Embeddings for Improved Sentiment ClassificationCode0
Dynamic Bernoulli Embeddings for Language EvolutionCode0
Efficient, Compositional, Order-sensitive n-gram EmbeddingsCode0
Density Matching for Bilingual Word EmbeddingCode0
DisCoDisCo at the DISRPT2021 Shared Task: A System for Discourse Segmentation, Classification, and Connective DetectionCode0
Discourse Relation Embeddings: Representing the Relations between Discourse Segments in Social MediaCode0
Dict2vec : Learning Word Embeddings using Lexical DictionariesCode0
DiaLex: A Benchmark for Evaluating Multidialectal Arabic Word EmbeddingsCode0
InceptionXML: A Lightweight Framework with Synchronized Negative Sampling for Short Text Extreme ClassificationCode0
Dictionary-based Debiasing of Pre-trained Word EmbeddingsCode0
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