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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 501–550 of 4002 papers

TitleStatusHype
An embedded segmental K-means model for unsupervised segmentation and clustering of speechCode0
An Interpretable and Uncertainty Aware Multi-Task Framework for Multi-Aspect Sentiment AnalysisCode0
Degree-Aware Alignment for Entities in TailCode0
Density Matching for Bilingual Word EmbeddingCode0
Definition Modeling: Learning to define word embeddings in natural languageCode0
Improving Cross-Lingual Word Embeddings by Meeting in the MiddleCode0
Automation of Citation Screening for Systematic Literature Reviews using Neural Networks: A Replicability StudyCode0
AutoSUM: Automating Feature Extraction and Multi-user Preference Simulation for Entity SummarizationCode0
Improving Lexical Choice in Neural Machine TranslationCode0
AWE-CM Vectors: Augmenting Word Embeddings with a Clinical MetathesaurusCode0
Definition Frames: Using Definitions for Hybrid Concept RepresentationsCode0
DefSent+: Improving sentence embeddings of language models by projecting definition sentences into a quasi-isotropic or isotropic vector space of unlimited dictionary entriesCode0
Dependency Sensitive Convolutional Neural Networks for Modeling Sentences and DocumentsCode0
Deep word embeddings for visual speech recognitionCode0
A Causal Inference Method for Reducing Gender Bias in Word Embedding RelationsCode0
Def2Vec: Extensible Word Embeddings from Dictionary DefinitionsCode0
A Quantum Many-body Wave Function Inspired Language Modeling ApproachCode0
Deep Unordered Composition Rivals Syntactic Methods for Text ClassificationCode0
Deriving Disinformation Insights from Geolocalized Twitter CalloutsCode0
A quantitative study of NLP approaches to question difficulty estimationCode0
Deep learning for language understanding of mental health concepts derived from Cognitive Behavioural TherapyCode0
Aligning Word Vectors on Low-Resource Languages with WiktionaryCode0
Deep Pivot-Based Modeling for Cross-language Cross-domain Transfer with Minimal GuidanceCode0
DeepHateExplainer: Explainable Hate Speech Detection in Under-resourced Bengali LanguageCode0
Deeper Text Understanding for IR with Contextual Neural Language ModelingCode0
Deep Image-to-Recipe TranslationCode0
Deep convolutional acoustic word embeddings using word-pair side informationCode0
Gender-preserving Debiasing for Pre-trained Word EmbeddingsCode0
DeepEmo: Learning and Enriching Pattern-Based Emotion RepresentationsCode0
Deep Learning for Hate Speech Detection in TweetsCode0
Deep Text Mining of Instagram Data Without Strong SupervisionCode0
Deriving Word Vectors from Contextualized Language Models using Topic-Aware Mention SelectionCode0
Debiasing Word Embeddings with Nonlinear GeometryCode0
Debiasing Sentence Embedders through Contrastive Word PairsCode0
DebIE: A Platform for Implicit and Explicit Debiasing of Word Embedding SpacesCode0
Approach to Predicting News -- A Precise Multi-LSTM Network With BERTCode0
Debiasing Multilingual Word Embeddings: A Case Study of Three Indian LanguagesCode0
Decision-Directed Data DecompositionCode0
Aligning Multilingual Word Embeddings for Cross-Modal Retrieval TaskCode0
DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment AnalysisCode0
Data-Driven Detection of General Chiasmi Using Lexical and Semantic FeaturesCode0
The Pupil Has Become the Master: Teacher-Student Model-Based Word Embedding Distillation with Ensemble LearningCode0
Data-driven models and computational tools for neurolinguistics: a language technology perspectiveCode0
Debiasing Convolutional Neural Networks via Meta OrthogonalizationCode0
CS-Embed at SemEval-2020 Task 9: The effectiveness of code-switched word embeddings for sentiment analysisCode0
Crossmodal ASR Error Correction with Discrete Speech UnitsCode0
Application of a Hybrid Bi-LSTM-CRF model to the task of Russian Named Entity RecognitionCode0
Cross-Lingual Word Embeddings for Turkic LanguagesCode0
Cross-Lingual Word Representations via Spectral Graph EmbeddingsCode0
Cross-lingual Lexical Sememe PredictionCode0
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