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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 751–800 of 4002 papers

TitleStatusHype
Developing Conversational Data and Detection of Conversational Humor in Telugu—0
discopy: A Neural System for Shallow Discourse ParsingCode1
Increasing Sentence-Level Comprehension Through Text Classification of Epistemic Functions—0
Word embeddings for topic modeling: an application to the estimation of the economic policy uncertainty index—0
Learning Personal Food Preferences via Food Logs EmbeddingCode0
Measuring a Texts Fairness Dimensions Using Machine Learning Based on Social Psychological Factors—0
The Golden Rule as a Heuristic to Measure the Fairness of Texts Using Machine Learning—0
Improving the Diversity of Unsupervised Paraphrasing with Embedding OutputsCode0
Hate and Offensive Speech Detection in Hindi and Marathi—0
Inter-Sense: An Investigation of Sensory Blending in Fiction—0
Exploring the Sensory Spaces of English Perceptual Verbs in Natural Language DataCode0
WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models—0
Subword-based Cross-lingual Transfer of Embeddings from Hindi to Marathi—0
Cooperative Semi-Supervised Transfer Learning of Machine Reading Comprehension—0
Learning Meta Word Embeddings by Unsupervised Weighted Concatenation of Source Embeddings—0
Tracing Origins: Coreference-aware Machine Reading ComprehensionCode1
Large Scale Substitution-based Word Sense Induction—0
Evaluating Off-the-Shelf Machine Listening and Natural Language Models for Automated Audio Captioning—0
BI-RADS BERT & Using Section Segmentation to Understand Radiology ReportsCode0
Regionalized models for Spanish language variations based on Twitter—0
Offensive Language Detection with BERT-based models, By Customizing Attention Probabilities—0
A Comprehensive Comparison of Word Embeddings in Event & Entity Coreference ResolutionCode0
Using Word Embeddings for Italian Crime News Categorization—0
Human-in-the-Loop Refinement of Word Embeddings—0
Learning Sense-Specific Static Embeddings using Contextualised Word Embeddings as a Proxy—0
A Survey On Neural Word Embeddings—0
A Case Study to Reveal if an Area of Interest has a Trend in Ongoing Tweets Using Word and Sentence Embeddings—0
Keyword-centered Collocating Topic Analysis—0
Aggregating User-Centric and Post-Centric Sentiments from Social Media for Topical Stance Prediction—0
Variance of Twitter Embeddings and Temporal Trends of COVID-19 cases—0
Multi-granular Legal Topic Classification on Greek LegislationCode0
DICoE@FinSim-3: Financial Hypernym Detection using Augmented Terms and Distance-based Features—0
Phonetic Word EmbeddingsCode1
JOINTLY LEARNING TOPIC SPECIFIC WORD AND DOCUMENT EMBEDDING—0
Reconstructing Word Embeddings via Scattered k-Sub-Embedding—0
Debiasing Pretrained Text Encoders by Paying Attention to Paying Attention—0
Antonymy-Synonymy Discrimination through the Repelling Parasiamese Neural Network—0
Graph-based Nearest Neighbor Search in Hyperbolic Spaces—0
EDGAR-CORPUS: Billions of Tokens Make The World Go Round—0
Marked Attribute Bias in Natural Language InferenceCode0
Identifying and Mitigating Gender Bias in Hyperbolic Word Embeddings—0
An Analysis of Euclidean vs. Graph-Based Framing for Bilingual Lexicon Induction from Word Embedding SpacesCode0
Lacking the embedding of a word? Look it up into a traditional dictionary—0
How Familiar Does That Sound? Cross-Lingual Representational Similarity Analysis of Acoustic Word EmbeddingsCode0
InvBERT: Reconstructing Text from Contextualized Word Embeddings by inverting the BERT pipeline—0
DisCoDisCo at the DISRPT2021 Shared Task: A System for Discourse Segmentation, Classification, and Connective DetectionCode0
MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained Language ModelsCode1
Conditional probing: measuring usable information beyond a baselineCode1
Fast query-by-example speech search using separable model—0
Augmenting semantic lexicons using word embeddings and transfer learningCode0
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