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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 951–975 of 4002 papers

TitleStatusHype
BioReddit: Word Embeddings for User-Generated Biomedical NLP—0
Abstractive Document Summarization with Word Embedding Reconstruction—0
Cross-Lingual Word Embeddings and the Structure of the Human Bilingual Lexicon—0
Cross-lingual Word Embeddings beyond Zero-shot Machine Translation—0
Cross-Lingual Word Embeddings for Morphologically Rich Languages—0
Cross-Lingual Word Embeddings for Low-Resource Language Modeling—0
Automated PII Extraction from Social Media for Raising Privacy Awareness: A Deep Transfer Learning Approach—0
Cross-lingual Word Embeddings in Hyperbolic Space—0
Deep Learning Paradigm with Transformed Monolingual Word Embeddings for Multilingual Sentiment Analysis—0
Cross-Lingual Word Representations: Induction and Evaluation—0
Automated Scoring of Clinical Expressive Language Evaluation Tasks—0
Cross-lingual Word Sense Disambiguation using mBERT Embeddings with Syntactic Dependencies—0
Automated Single-Label Patent Classification using Ensemble Classifiers—0
Crossword: Estimating Unknown Embeddings using Cross Attention and Alignment Strategies—0
Deep Multilingual Correlation for Improved Word Embeddings—0
Automated Trustworthiness Oracle Generation for Machine Learning Text Classifiers—0
Cseq2seq: Cyclic Sequence-to-Sequence Learning—0
CSReader at SemEval-2018 Task 11: Multiple Choice Question Answering as Textual Entailment—0
DeepNL: a Deep Learning NLP pipeline—0
CUFE at SemEval-2016 Task 4: A Gated Recurrent Model for Sentiment Classification—0
Cultural Cartography with Word Embeddings—0
CU-NLP at SemEval-2016 Task 8: AMR Parsing using LSTM-based Recurrent Neural Networks—0
Curatr: A Platform for Semantic Analysis and Curation of Historical Literary Texts—0
Current Trends and Approaches in Synonyms Extraction: Potential Adaptation to Arabic—0
DeepTC -- An Extension of DKPro Text Classification for Fostering Reproducibility of Deep Learning Experiments—0
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