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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 1926–1950 of 4002 papers

TitleStatusHype
A survey of cross-lingual features for zero-shot cross-lingual semantic parsing—0
A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition—0
BULNER: BUg Localization with word embeddings and NEtwork RegularizationCode0
Unsupervised Construction of Knowledge Graphs From Text and Code—0
On Measuring and Mitigating Biased Inferences of Word EmbeddingsCode0
ViCo: Word Embeddings from Visual Co-occurrencesCode0
On the Robustness of Unsupervised and Semi-supervised Cross-lingual Word Embedding Learning—0
Deep Contextualized Word Embeddings in Transition-Based and Graph-Based Dependency Parsing -- A Tale of Two Parsers Revisited—0
Evaluating Contextualized Embeddings on 54 Languages in POS Tagging, Lemmatization and Dependency Parsing—0
A Neural Virtual Anchor Synthesizer based on Seq2Seq and GAN Models—0
Bilingual Lexicon Induction with Semi-supervision in Non-Isometric Embedding SpacesCode0
Parsimonious Morpheme Segmentation with an Application to Enriching Word Embeddings—0
Scene Classification in Indoor Environments for Robots using Context Based Word Embeddings—0
Understanding Undesirable Word Embedding Associations—0
Language Features Matter: Effective Language Representations for Vision-Language Tasks—0
Shallow Domain Adaptive Embeddings for Sentiment Analysis—0
Disentangling Latent Emotions of Word Embeddings on Complex Emotional Narratives—0
Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review—0
Sex Trafficking Detection with Ordinal Regression Neural Networks—0
On-Device Text Representations Robust To Misspellings via Projections—0
Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA SystemCode0
BERT-based Ranking for Biomedical Entity Normalization—0
Debiasing Embeddings for Reduced Gender Bias in Text Classification—0
Text mining policy: Classifying forest and landscape restoration policy agenda with neural information retrieval—0
A Simple and Effective Approach for Fine Tuning Pre-trained Word Embeddings for Improved Text ClassificationCode0
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