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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 2826–2850 of 4002 papers

TitleStatusHype
Language adaptation experiments via cross-lingual embeddings for related languages—0
Lexical and Semantic Features for Cross-lingual Text Reuse Classification: an Experiment in English and Latin Paraphrases—0
All-words Word Sense Disambiguation Using Concept Embeddings—0
Word Embedding Approach for Synonym Extraction of Multi-Word TermsCode0
Ensemble Romanian Dependency Parsing with Neural Networks—0
Retrofitting Word Representations for Unsupervised Sense Aware Word Similarities—0
Comparing Pretrained Multilingual Word Embeddings on an Ontology Alignment TaskCode0
Social Image Tags as a Source of Word Embeddings: A Task-oriented Evaluation—0
Word Embedding Evaluation Datasets and Wikipedia Title Embedding for Chinese—0
Joint Learning of Sense and Word Embeddings—0
Evaluation of Dictionary Creating Methods for Finno-Ugric Minority Languages—0
Hierarchical Density Order EmbeddingsCode1
Factors Influencing the Surprising Instability of Word EmbeddingsCode0
Automated Detection of Adverse Drug Reactions in the Biomedical Literature Using Convolutional Neural Networks and Biomedical Word Embeddings—0
DeepEmo: Learning and Enriching Pattern-Based Emotion RepresentationsCode0
Linguistically-Informed Self-Attention for Semantic Role LabelingCode0
Bilingual Embeddings with Random Walks over Multilingual Wordnets—0
Can Eye Movement Data Be Used As Ground Truth For Word Embeddings Evaluation?—0
NE-Table: A Neural key-value table for Named EntitiesCode0
Automated essay scoring with string kernels and word embeddings—0
Dynamic Meta-Embeddings for Improved Sentence RepresentationsCode0
A Deep Representation Empowered Distant Supervision Paradigm for Clinical Information Extraction—0
Probabilistic Word Association for Dialogue Act Classification with Recurrent Neural NetworksCode0
Utilizing Neural Networks and Linguistic Metadata for Early Detection of Depression Indications in Text SequencesCode1
LightRel SemEval-2018 Task 7: Lightweight and Fast Relation Classification—0
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