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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 1901–1950 of 4002 papers

TitleStatusHype
An evaluation of Czech word embeddings—0
Multilingual Complex Word Identification: Convolutional Neural Networks with Morphological and Linguistic Features—0
Cross-Lingual Word Embeddings for Morphologically Rich Languages—0
Sparse Victory -- A Large Scale Systematic Comparison of count-based and prediction-based vectorizers for text classificationCode0
A study of semantic augmentation of word embeddings for extractive summarization—0
Speculation and Negation detection in French biomedical corpora—0
A Classification-Based Approach to Cognate Detection Combining Orthographic and Semantic Similarity Information—0
Whom to Learn From? Graph- vs. Text-based Word Embeddings—0
Exploring Adequacy Errors in Neural Machine Translation with the Help of Cross-Language Aligned Word Embeddings—0
Evaluation of Stacked Embeddings for Bulgarian on the Downstream Tasks POS and NERC—0
Classification of Micro-Texts Using Sub-Word Embeddings—0
Neural Feature Extraction for Contextual Emotion Detection—0
Evaluating the Consistency of Word Embeddings from Small Data—0
Enhancing Unsupervised Sentence Similarity Methods with Deep Contextualised Word Representations—0
Tweaks and Tricks for Word Embedding Disruptions—0
SenZi: A Sentiment Analysis Lexicon for the Latinised Arabic (Arabizi)—0
Utilizing Pre-Trained Word Embeddings to Learn Classification Lexicons with Little Supervision—0
Leveraging Just a Few Keywords for Fine-Grained Aspect Detection Through Weakly Supervised Co-TrainingCode0
An Improved Neural Baseline for Temporal Relation Extraction—0
Adversarial Learning with Contextual Embeddings for Zero-resource Cross-lingual Classification and NER—0
Open Named Entity Modeling from Embedding Distribution—0
Named Entity Recognition Only from Word Embeddings—0
Single Training Dimension Selection for Word Embedding with PCA—0
Encoders Help You Disambiguate Word Senses in Neural Machine Translation—0
Adversarial Representation Learning for Text-to-Image Matching—0
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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