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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 851–900 of 4002 papers

TitleStatusHype
Analogies minus analogy test: measuring regularities in word embeddingsCode0
Named Entity Recognition With Parallel Recurrent Neural NetworksCode0
Near-lossless Binarization of Word EmbeddingsCode0
Negative Sampling Improves Hypernymy Extraction Based on Projection LearningCode0
A Survey of Word Embeddings Evaluation MethodsCode0
Context-Aware Cross-Lingual MappingCode0
Generating Timelines by Modeling Semantic ChangeCode0
A Deep Relevance Model for Zero-Shot Document FilteringCode0
A Survey on Contextualised Semantic Shift DetectionCode0
Context encoders as a simple but powerful extension of word2vecCode0
Analysing Word Representation from the Input and Output Embeddings in Neural Network Language ModelsCode0
Context Reinforced Neural Topic Modeling over Short TextsCode0
Diachronic Word Embeddings Reveal Statistical Laws of Semantic ChangeCode0
A Survey on Sentence Embedding Models Performance for Patent AnalysisCode0
A Comparative Analysis of Static Word Embeddings for HungarianCode0
Neural Temporality Adaptation for Document Classification: Diachronic Word Embeddings and Domain Adaptation ModelsCode0
Distilling Semantic Concept Embeddings from Contrastively Fine-Tuned Language ModelsCode0
NILC-USP at SemEval-2017 Task 4: A Multi-view Ensemble for Twitter Sentiment AnalysisCode0
NNVLP: A Neural Network-Based Vietnamese Language Processing ToolkitCode0
Nonparametric Spherical Topic Modeling with Word EmbeddingsCode0
Deriving Word Vectors from Contextualized Language Models using Topic-Aware Mention SelectionCode0
Deriving Disinformation Insights from Geolocalized Twitter CalloutsCode0
Contextualized Diachronic Word RepresentationsCode0
Design and Implementation of a Quantum Kernel for Natural Language ProcessingCode0
Beyond Film Subtitles: Is YouTube the Best Approximation of Spoken Vocabulary?Code0
Density Matching for Bilingual Word EmbeddingCode0
Analysis of Railway Accidents' Narratives Using Deep LearningCode0
Dependency Sensitive Convolutional Neural Networks for Modeling Sentences and DocumentsCode0
Detecting Anxiety through RedditCode0
On Dimensional Linguistic Properties of the Word Embedding SpaceCode0
One-to-X analogical reasoning on word embeddings: a case for diachronic armed conflict prediction from news textsCode0
One Word, Two Sides: Traces of Stance in Contextualized Word RepresentationsCode0
DefSent+: Improving sentence embeddings of language models by projecting definition sentences into a quasi-isotropic or isotropic vector space of unlimited dictionary entriesCode0
Contextual String Embeddings for Sequence LabelingCode0
Definition Modeling: Learning to define word embeddings in natural languageCode0
On Measuring and Mitigating Biased Inferences of Word EmbeddingsCode0
Degree-Aware Alignment for Entities in TailCode0
Contrastive Learning in Distilled ModelsCode0
Contrastive Loss is All You Need to Recover Analogies as Parallel LinesCode0
A Comprehensive Comparison of Word Embeddings in Event & Entity Coreference Resolution.Code0
Better Word Embeddings by Disentangling Contextual n-Gram InformationCode0
Contributions to Clinical Named Entity Recognition in PortugueseCode0
Controlled Experiments for Word EmbeddingsCode0
Definition Frames: Using Definitions for Hybrid Concept RepresentationsCode0
Paraphrases do not explain word analogiesCode0
An Interpretable and Uncertainty Aware Multi-Task Framework for Multi-Aspect Sentiment AnalysisCode0
Better Summarization Evaluation with Word Embeddings for ROUGECode0
Convolutional Neural Network with Word Embeddings for Chinese Word SegmentationCode0
Deep Unordered Composition Rivals Syntactic Methods for Text ClassificationCode0
Deep word embeddings for visual speech recognitionCode0
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