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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 2951–3000 of 4002 papers

TitleStatusHype
Multimodal Frame Identification with Multilingual Evaluation—0
Multimodal Learning for Cardiovascular Risk Prediction using EHR Data—0
Multimodal Representation Loss Between Timed Text and Audio for Regularized Speech Separation—0
Multi-Modal Representations for Improved Bilingual Lexicon Learning—0
Multimodal Semantic Learning from Child-Directed Input—0
Multi-Model and Crosslingual Dependency Analysis—0
Multi-Module Recurrent Neural Networks with Transfer Learning—0
Multi-Ontology Refined Embeddings (MORE): A Hybrid Multi-Ontology and Corpus-based Semantic Representation for Biomedical Concepts—0
Multi-Perspective Sentence Similarity Modeling with Convolutional Neural Networks—0
Multi-sense Definition Modeling using Word Sense Decompositions—0
Multi Sense Embeddings from Topic Models—0
Multi-SimLex: A Large-Scale Evaluation of Multilingual and Cross-Lingual Lexical Semantic Similarity—0
Multi-SimLex: A Large-Scale Evaluation of Multilingual and Crosslingual Lexical Semantic Similarity—0
Multi-source Multi-view Transfer Learning in Neural Topic Modeling with Pretrained Topic and Word Embeddings—0
Multi-Stage Framework with Refinement based Point Set Registration for Unsupervised Bi-Lingual Word Alignment—0
Multi-Stage Framework with Refinement Based Point Set Registration for Unsupervised Bi-Lingual Word Alignment—0
Multi-task Learning Using a Combination of Contextualised and Static Word Embeddings for Arabic Sarcasm Detection and Sentiment Analysis—0
Multi-turn Dialogue Response Generation in an Adversarial Learning Framework—0
Multivariate Gaussian Document Representation from Word Embeddings for Text Categorization—0
Multi-view and Multi-source Transfers in Neural Topic Modeling with Pretrained Topic and Word Embeddings—0
Multi-View Domain Adapted Sentence Embeddings for Low-Resource Unsupervised Duplicate Question Detection—0
Multi-View Learning of Word Embeddings via CCA—0
Multi-view Recurrent Neural Acoustic Word Embeddings—0
MultiVitaminBooster at PARSEME Shared Task 2020: Combining Window- and Dependency-Based Features with Multilingual Contextualised Word Embeddings for VMWE Detection—0
Mumpitz at PARSEME Shared Task 2018: A Bidirectional LSTM for the Identification of Verbal Multiword Expressions—0
MuSeM: Detecting Incongruent News Headlines using Mutual Attentive Semantic Matching—0
mwetoolkit+sem: Integrating Word Embeddings in the mwetoolkit for Semantic MWE Processing—0
MXX@FinSim3 - An LSTM–based approach with custom word embeddings for hypernym detection in financial texts—0
Myers-Briggs personality classification from social media text using pre-trained language models—0
My House, My Rules: Learning Tidying Preferences with Graph Neural Networks—0
Naive Bayes and BiLSTM Ensemble for Discriminating between Mainland and Taiwan Variation of Mandarin Chinese—0
Named Entity Recognition Only from Word Embeddings—0
Named Entity Recognition on Twitter for Turkish using Semi-supervised Learning with Word Embeddings—0
NARNIA at NLP4IF-2021: Identification of Misinformation in COVID-19 Tweets Using BERTweet—0
Natural Alpha Embeddings—0
Quantum Natural Language Processing—0
Natural Language Inference with Definition Embedding Considering Context On the Fly—0
Natural Language Processing for Diagnosis and Risk Assessment of Cardiovascular Disease—0
Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review—0
N-best Rescoring for Parsing Based on Dependency-Based Word Embeddings—0
NER for Medical Entities in Twitter using Sequence to Sequence Neural Networks—0
Neural Abstractive Multi-Document Summarization: Hierarchical or Flat Structure?—0
Neural approaches to spoken content embedding—0
Neural context embeddings for automatic discovery of word senses—0
Neural Cross-Lingual Relation Extraction Based on Bilingual Word Embedding Mapping—0
Neural Dependency Parsing of Biomedical Text: TurkuNLP entry in the CRAFT Structural Annotation Task—0
Neural-DINF: A Neural Network based Framework for Measuring Document Influence—0
Neural Discourse Relation Recognition with Semantic Memory—0
Neural Feature Extraction for Contextual Emotion Detection—0
Neural Joint Model for Transition-based Chinese Syntactic Analysis—0
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