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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 2551–2600 of 4002 papers

TitleStatusHype
Embedding Grammars—0
Syntree2Vec - An algorithm to augment syntactic hierarchy into word embeddings—0
Angular-Based Word Meta-Embedding Learning—0
Learning to Represent Bilingual DictionariesCode0
Unsupervised Keyphrase Extraction from Scientific PublicationsCode0
Building a Kannada POS Tagger Using Machine Learning and Neural Network ModelsCode0
Word-Level Loss Extensions for Neural Temporal Relation ClassificationCode0
Instantiation—0
Contextual String Embeddings for Sequence LabelingCode0
Word-Embedding based Content Features for Automated Oral Proficiency Scoring—0
Neural Activation Semantic Models: Computational lexical semantic models of localized neural activationsCode0
Exploring word embeddings and phonological similarity for the unsupervised correction of language learner errors—0
Why does PairDiff work? - A Mathematical Analysis of Bilinear Relational Compositional Operators for Analogy Detection—0
Simple Algorithms For Sentiment Analysis On Sentiment Rich, Data Poor Domains.—0
Task-oriented Word Embedding for Text ClassificationCode0
Model-Free Context-Aware Word Composition—0
Learning Emotion-enriched Word Representations—0
Relation Induction in Word Embeddings Revisited—0
Convolutional Neural Network for Universal Sentence Embeddings—0
Cross-Document Narrative Alignment of Environmental News: A Position Paper on the Challenge of Using Event Chains to Proxy Narrative Features—0
AnlamVer: Semantic Model Evaluation Dataset for Turkish - Word Similarity and RelatednessCode0
Attending Sentences to detect Satirical Fake News—0
Learning to Generate Word Representations using Subword Information—0
Mumpitz at PARSEME Shared Task 2018: A Bidirectional LSTM for the Identification of Verbal Multiword Expressions—0
A Chinese Writing Correction System for Learning Chinese as a Foreign Language—0
A Review on Deep Learning Techniques Applied to Answer Selection—0
A LSTM Approach with Sub-Word Embeddings for Mongolian Phrase Break Prediction—0
Sub-label dependencies for Neural Morphological Tagging -- The Joint Submission of University of Colorado and University of Helsinki for VarDial 2018—0
TRAC-1 Shared Task on Aggression Identification: IIT(ISM)@COLING'18—0
Learning Diachronic Analogies to Analyze Concept ChangeCode0
A New Approach to Animacy Detection—0
Transition-based Neural RST Parsing with Implicit Syntax FeaturesCode0
Modeling with Recurrent Neural Networks for Open Vocabulary Slots—0
From Text to Lexicon: Bridging the Gap between Word Embeddings and Lexical ResourcesCode0
Textual Aggression Detection through Deep Learning—0
Identifying Aggression and Toxicity in Comments using Capsule Network—0
Encoding Sentiment Information into Word Vectors for Sentiment Analysis—0
Joint Learning from Labeled and Unlabeled Data for Information Retrieval—0
Toward Better Loanword Identification in Uyghur Using Cross-lingual Word Embeddings—0
Transferred Embeddings for Igbo Similarity, Analogy, and Diacritic Restoration Tasks—0
What's in Your Embedding, And How It Predicts Task Performance—0
JeSemE: Interleaving Semantics and Emotions in a Web Service for the Exploration of Language Change Phenomena—0
Using Word Embeddings for Unsupervised Acronym Disambiguation—0
Veyn at PARSEME Shared Task 2018: Recurrent Neural Networks for VMWE IdentificationCode0
Automatically Linking Lexical Resources with Word Sense Embedding Models—0
Recognizing Humour using Word Associations and Humour Anchor Extraction—0
Aggressive Language Identification Using Word Embeddings and Sentiment FeaturesCode0
Learning Word Meta-Embeddings by AutoencodingCode0
RuSentiment: An Enriched Sentiment Analysis Dataset for Social Media in Russian—0
Improving Named Entity Recognition by Jointly Learning to Disambiguate Morphological TagsCode0
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