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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

Showing 501–525 of 4002 papers

TitleStatusHype
Automatic Noun Compound Interpretation using Deep Neural Networks and Word Embeddings—0
Automatic Term Extraction from Newspaper Corpora: Making the Most of Specificity and Common Features—0
Automatic Transformation of Clinical Narratives into Structured Format—0
Automatic Triage of Mental Health Forum Posts—0
Automatic Word Association Norms (AWAN)—0
Automating Idea Unit Segmentation and Alignment for Assessing Reading Comprehension via Summary Protocol Analysis—0
A Dynamic Window Neural Network for CCG Supertagging—0
A Comparison of Domain-based Word Polarity Estimation using different Word Embeddings—0
AWE: Asymmetric Word Embedding for Textual Entailment—0
An Empirical Study of Discriminative Sequence Labeling Models for Vietnamese Text Processing—0
A Methodology for Studying Linguistic and Cultural Change in China, 1900-1950—0
Bilingual Word Embeddings for Bilingual Terminology Extraction from Specialized Comparable Corpora—0
A Challenge Set and Methods for Noun-Verb Ambiguity—0
A data-driven strategy to combine word embeddings in information retrieval—0
Bilingual Topic Models for Comparable Corpora—0
Bilingual Word Embeddings for Phrase-Based Machine Translation—0
ARHNet - Leveraging Community Interaction for Detection of Religious Hate Speech in Arabic—0
Argument from Old Man’s View: Assessing Social Bias in Argumentation—0
A Margin-based Loss with Synthetic Negative Samples for Continuous-output Machine Translation—0
A Machine Learning Application for Raising WASH Awareness in the Times of COVID-19 Pandemic—0
Argumentative Topology: Finding Loop(holes) in Logic—0
Adaptive Compression of Word Embeddings—0
Bilingual Terminology Extraction Using Neural Word Embeddings on Comparable Corpora—0
Bilingual Word Embeddings from Non-Parallel Document-Aligned Data Applied to Bilingual Lexicon Induction—0
Binary and Multitask Classification Model for Dutch Anaphora Resolution: Die/Dat Prediction—0
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