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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 301–350 of 4002 papers

TitleStatusHype
Deeper Text Understanding for IR with Contextual Neural Language ModelingCode0
3D-EX : A Unified Dataset of Definitions and Dictionary ExamplesCode0
DeepHateExplainer: Explainable Hate Speech Detection in Under-resourced Bengali LanguageCode0
Deep learning for language understanding of mental health concepts derived from Cognitive Behavioural TherapyCode0
Analysis of Railway Accidents' Narratives Using Deep LearningCode0
Deep convolutional acoustic word embeddings using word-pair side informationCode0
A Comparative Analysis of Static Word Embeddings for HungarianCode0
DeepEmo: Learning and Enriching Pattern-Based Emotion RepresentationsCode0
Deep Pivot-Based Modeling for Cross-language Cross-domain Transfer with Minimal GuidanceCode0
Analysing Word Representation from the Input and Output Embeddings in Neural Network Language ModelsCode0
A Deep Relevance Model for Zero-Shot Document FilteringCode0
Debiasing Word Embeddings with Nonlinear GeometryCode0
Analogies minus analogy test: measuring regularities in word embeddingsCode0
Debiasing Sentence Embedders through Contrastive Word PairsCode0
DebIE: A Platform for Implicit and Explicit Debiasing of Word Embedding SpacesCode0
Analogical Reasoning on Chinese Morphological and Semantic RelationsCode0
DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment AnalysisCode0
Debiasing Convolutional Neural Networks via Meta OrthogonalizationCode0
Data-driven models and computational tools for neurolinguistics: a language technology perspectiveCode0
A Common Semantic Space for Monolingual and Cross-Lingual Meta-EmbeddingsCode0
Debiasing Multilingual Word Embeddings: A Case Study of Three Indian LanguagesCode0
Decision-Directed Data DecompositionCode0
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
Cross-Lingual Word Embeddings for Turkic LanguagesCode0
A Co-Attentive Cross-Lingual Neural Model for Dialogue Breakdown DetectionCode0
Cross-Lingual Word Representations via Spectral Graph EmbeddingsCode0
Cross-lingual Models of Word Embeddings: An Empirical ComparisonCode0
Cross-lingual Dependency Parsing with Unlabeled Auxiliary LanguagesCode0
Cross-Lingual BERT Transformation for Zero-Shot Dependency ParsingCode0
Cross-lingual Lexical Sememe PredictionCode0
DALLMi: Domain Adaption for LLM-based Multi-label ClassifierCode0
Cross-Language Transfer of High-Quality Annotations: Combining Neural Machine Translation with Cross-Linguistic Span Alignment to Apply NER to Clinical Texts in a Low-Resource LanguageCode0
Cross-domain Semantic Parsing via ParaphrasingCode0
Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency ParsingCode0
CoSimLex: A Resource for Evaluating Graded Word Similarity in ContextCode0
Correlations between Word Vector SetsCode0
Creative Contextual Dialog Adaptation in an Open World RPGCode0
Cross-lingual Annotation Projection in Legal TextsCode0
Co-occurrences using Fasttext embeddings for word similarity tasks in UrduCode0
Convolutional Neural Network with Word Embeddings for Chinese Word SegmentationCode0
A Morphology-Based Representation Model for LSTM-Based Dependency Parsing of Agglutinative LanguagesCode0
Learning Embeddings into Entropic Wasserstein SpacesCode0
Controlled Experiments for Word EmbeddingsCode0
Coreference Resolution System for Indonesian Text with Mention Pair Method and Singleton Exclusion using Convolutional Neural NetworkCode0
Cross-lingual Argumentation Mining: Machine Translation (and a bit of Projection) is All You Need!Code0
Data-Driven Detection of General Chiasmi Using Lexical and Semantic FeaturesCode0
Don't Settle for Average, Go for the Max: Fuzzy Sets and Max-Pooled Word VectorsCode0
Contextualized Diachronic Word RepresentationsCode0
Context Reinforced Neural Topic Modeling over Short TextsCode0
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