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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 3201–3250 of 4002 papers

TitleStatusHype
Squashed Shifted PMI Matrix: Bridging Word Embeddings and Hyperbolic SpacesCode0
Deeper Text Understanding for IR with Contextual Neural Language ModelingCode0
DeepHateExplainer: Explainable Hate Speech Detection in Under-resourced Bengali LanguageCode0
Towards Arabic Sentence Simplification via Classification and Generative ApproachesCode0
Deep Image-to-Recipe TranslationCode0
Inorganic Materials Synthesis Planning with Literature-Trained Neural NetworksCode0
BiLSTM-CRF for Persian Named-Entity Recognition ArmanPersoNERCorpus: the First Entity-Annotated Persian DatasetCode0
Deep Learning for Hate Speech Detection in TweetsCode0
Deep learning for language understanding of mental health concepts derived from Cognitive Behavioural TherapyCode0
Insights into Analogy Completion from the Biomedical DomainCode0
Subword Encoding in Lattice LSTM for Chinese Word SegmentationCode0
Sub-word information in pre-trained biomedical word representations: evaluation and hyper-parameter optimizationCode0
Multi-source Neural Topic Modeling in Multi-view Embedding SpacesCode0
Word Translation Without Parallel DataCode0
Integrating Form and Meaning: A Multi-Task Learning Model for Acoustic Word EmbeddingsCode0
Subword Semantic Hashing for Intent Classification on Small DatasetsCode0
Multi-task Learning for Target-dependent Sentiment ClassificationCode0
A Quantum Many-body Wave Function Inspired Language Modeling ApproachCode0
Integrating Semantic Knowledge into Lexical Embeddings Based on Information Content MeasurementCode0
Integrating Semantic Knowledge to Tackle Zero-shot Text ClassificationCode0
Multi-Task Text Classification using Graph Convolutional Networks for Large-Scale Low Resource LanguageCode0
Unsupervised Domain Adaptation of Contextualized Embeddings for Sequence LabelingCode0
ReviewViz: Assisting Developers Perform Empirical Study on Energy Consumption Related Reviews for Mobile ApplicationsCode0
Deep Pivot-Based Modeling for Cross-language Cross-domain Transfer with Minimal GuidanceCode0
Constructing Colloquial Dataset for Persian Sentiment Analysis of Social MicroblogsCode0
Intelligent Word Embeddings of Free-Text Radiology ReportsCode0
Concatenated Power Mean Word Embeddings as Universal Cross-Lingual Sentence RepresentationsCode0
Interactive Refinement of Cross-Lingual Word EmbeddingsCode0
Compressing Word Embeddings via Deep Compositional Code LearningCode0
Learning Embeddings into Entropic Wasserstein SpacesCode0
Deep Text Mining of Instagram Data Without Strong SupervisionCode0
Deep Unordered Composition Rivals Syntactic Methods for Text ClassificationCode0
Deep word embeddings for visual speech recognitionCode0
Inter and Intra Topic Structure Learning with Word EmbeddingsCode0
Def2Vec: Extensible Word Embeddings from Dictionary DefinitionsCode0
Compressing Neural Language Models by Sparse Word RepresentationsCode0
Definition Frames: Using Definitions for Hybrid Concept RepresentationsCode0
Definition Modeling: Learning to define word embeddings in natural languageCode0
Word2Vec applied to Recommendation: Hyperparameters MatterCode0
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
Towards a unified framework for bilingual terminology extraction of single-word and multi-word termsCode0
An Interpretable and Uncertainty Aware Multi-Task Framework for Multi-Aspect Sentiment AnalysisCode0
A quantitative study of NLP approaches to question difficulty estimationCode0
Weakly Supervised Deep Hyperspherical Quantization for Image RetrievalCode0
Approach to Predicting News -- A Precise Multi-LSTM Network With BERTCode0
Bilingual Sentiment Embeddings: Joint Projection of Sentiment Across LanguagesCode0
GraphTMT: Unsupervised Graph-based Topic Modeling from Video TranscriptsCode0
Density Matching for Bilingual Word EmbeddingCode0
Analysing Word Representation from the Input and Output Embeddings in Neural Network Language ModelsCode0
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