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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 2751–2800 of 4002 papers

TitleStatusHype
UWB at SemEval-2018 Task 1: Emotion Intensity Detection in Tweets—0
Pruning Basic Elements for Better Automatic Evaluation of Summaries—0
What the Vec? Towards Probabilistically Grounded Embeddings—0
Multi-turn Dialogue Response Generation in an Adversarial Learning Framework—0
Quantum-inspired Complex Word Embedding—0
Unsupervised Alignment of Embeddings with Wasserstein ProcrustesCode0
Unsupervised detection of diachronic word sense evolution—0
Convolutional neural networks for chemical-disease relation extraction are improved with character-based word embeddings—0
UMDuluth-CS8761 at SemEval-2018 Task 9: Hypernym Discovery using Hearst Patterns, Co-occurrence frequencies and Word Embeddings—0
Lifelong Domain Word Embedding via Meta-LearningCode0
Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling MechanismsCode0
Enhancing Chinese Intent Classification by Dynamically Integrating Character Features into Word Embeddings with Ensemble Techniques—0
How much does a word weigh? Weighting word embeddings for word sense induction—0
Scoring Lexical Entailment with a Supervised Directional Similarity NetworkCode0
Bilingual Sentiment Embeddings: Joint Projection of Sentiment Across LanguagesCode0
Morphosyntactic Tagging with a Meta-BiLSTM Model over Context Sensitive Token EncodingsCode0
Aff2Vec: Affect--Enriched Distributional Word Representations—0
Sentence Modeling via Multiple Word Embeddings and Multi-level Comparison for Semantic Textual Similarity—0
Unsupervised Cross-Modal Alignment of Speech and Text Embedding Spaces—0
A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddingsCode1
Simplifying Sentences with Sequence to Sequence Models—0
Unsupervised Learning of Style-sensitive Word Vectors—0
Unsupervised Abstractive Meeting Summarization with Multi-Sentence Compression and Budgeted Submodular MaximizationCode0
Effects of Word Embeddings on Neural Network-based Pitch Accent Detection—0
New Embedded Representations and Evaluation Protocols for Inferring Transitive Relations—0
Analogical Reasoning on Chinese Morphological and Semantic RelationsCode0
Domain Adapted Word Embeddings for Improved Sentiment ClassificationCode0
NRC-Canada at SMM4H Shared Task: Classifying Tweets Mentioning Adverse Drug Reactions and Medication Intake—0
Learning Domain-Sensitive and Sentiment-Aware Word Embeddings—0
Incorporating Subword Information into Matrix Factorization Word EmbeddingsCode0
Adversarial Contrastive Estimation—0
Russian word sense induction by clustering averaged word embeddingsCode0
A Rank-Based Similarity Metric for Word Embeddings—0
Des repr\'esentations continues de mots pour l'analyse d'opinions en arabe: une \'etude qualitative (Word embeddings for Arabic sentiment analysis : a qualitative study)—0
Adapted Sentiment Similarity Seed Words For French Tweets' Polarity Classification—0
A comparative study of word embeddings and other features for lexical complexity detection in French—0
L'optimisation du plongement de mots pour le fran : une application de la classification des phrases (Optimization of Word Embeddings for French : an Application of Sentence Classification)—0
JeuxDeLiens: Word Embeddings and Path-Based Similarity for Entity Linking using the French JeuxDeMots Lexical Semantic Network—0
Analysis of Inferences in Chinese for Opinion Mining—0
\'Etiquetage en parties du discours de langues peu dot\'ees par sp\'ecialisation des plongements lexicaux (POS tagging for low-resource languages by adapting word embeddings )—0
Des pseudo-sens pour am\'eliorer l'extraction de synonymes \`a partir de plongements lexicaux (Pseudo-senses for improving the extraction of synonyms from word embeddings)—0
Etude de la reproductibilit\'e des word embeddings : rep\'erage des zones stables et instables dans le lexique (Reproducibility of word embeddings : identifying stable and unstable zones in the semantic space)—0
Aspect-Based Sentiment Analysis Using Bitmask Bidirectional Long Short Term Memory Networks—0
Combining rule-based and embedding-based approaches to normalize textual entities with an ontology—0
A Multi-Domain Framework for Textual Similarity. A Case Study on Question-to-Question and Question-Answering Similarity Tasks—0
Multilingual Dependency Parsing for Low-Resource Languages: Case Studies on North Saami and Komi-ZyrianCode0
Annotating Educational Questions for Student Response Analysis—0
Moving TIGER beyond Sentence-Level—0
Author Profiling from Facebook Corpora—0
Automatic Labeling of Problem-Solving Dialogues for Computational Microgenetic Learning Analytics—0
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