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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 9511000 of 4002 papers

TitleStatusHype
Does mBERT understand Romansh? Evaluating word embeddings using word alignmentCode0
Better Summarization Evaluation with Word Embeddings for ROUGECode0
Automated Generation of Multilingual Clusters for the Evaluation of Distributed RepresentationsCode0
Sensing Ambiguity in Henry James' "The Turn of the Screw"Code0
Discriminating between Lexico-Semantic Relations with the Specialization Tensor ModelCode0
Sentiment Lexicon Construction with Representation Learning Based on Hierarchical Sentiment SupervisionCode0
Cross-Lingual Word Embeddings for Turkic LanguagesCode0
SeVeN: Augmenting Word Embeddings with Unsupervised Relation VectorsCode0
Disentangling dialects: a neural approach to Indo-Aryan historical phonology and subgroupingCode0
A Bi-Encoder LSTM Model For Learning Unstructured DialogsCode0
Cross-Lingual Word Representations via Spectral Graph EmbeddingsCode0
Discovering emergent connections in quantum physics research via dynamic word embeddingsCode0
Crossmodal ASR Error Correction with Discrete Speech UnitsCode0
Simple Unsupervised Similarity-Based Aspect ExtractionCode0
Skill2vec: Machine Learning Approach for Determining the Relevant Skills from Job DescriptionCode0
CS-Embed at SemEval-2020 Task 9: The effectiveness of code-switched word embeddings for sentiment analysisCode0
A Comparative Study on Word Embeddings and Social NLP TasksCode0
Social Emotion Mining Techniques for Facebook Posts Reaction PredictionCode0
Discourse Relation Embeddings: Representing the Relations between Discourse Segments in Social MediaCode0
Automated WordNet Construction Using Word EmbeddingsCode0
Sparse Victory -- A Large Scale Systematic Comparison of count-based and prediction-based vectorizers for text classificationCode0
Specialising Word Vectors for Lexical EntailmentCode0
CWTM: Leveraging Contextualized Word Embeddings from BERT for Neural Topic ModelingCode0
A Comprehensive Comparison of Word Embeddings in Event & Entity Coreference ResolutionCode0
A Bag of Useful Tricks for Practical Neural Machine Translation: Embedding Layer Initialization and Large Batch SizeCode0
BERTRAM: Improved Word Embeddings Have Big Impact on Contextualized Model PerformanceCode0
Automatic Argumentative-Zoning Using Word2vecCode0
Stop PropagHate at SemEval-2019 Tasks 5 and 6: Are abusive language classification results reproducible?Code0
DALLMi: Domain Adaption for LLM-based Multi-label ClassifierCode0
An Automatic Question Usability Evaluation ToolkitCode0
Discovering and Interpreting Biased Concepts in Online CommunitiesCode0
Structured Embedding Models for Grouped DataCode0
Distilling Semantic Concept Embeddings from Contrastively Fine-Tuned Language ModelsCode0
Data-driven models and computational tools for neurolinguistics: a language technology perspectiveCode0
DUKweb: Diachronic word representations from the UK Web Archive corpusCode0
Subword-based Compact Reconstruction of Word EmbeddingsCode0
InceptionXML: A Lightweight Framework with Synchronized Negative Sampling for Short Text Extreme ClassificationCode0
Subword Semantic Hashing for Intent Classification on Small DatasetsCode0
Automatic Detection of Sexist Statements Commonly Used at the WorkplaceCode0
Supervised Acoustic Embeddings And Their Transferability Across LanguagesCode0
Debiasing Convolutional Neural Networks via Meta OrthogonalizationCode0
Automatic Extraction of Nested Entities in Clinical Referrals in SpanishCode0
Debiasing Multilingual Word Embeddings: A Case Study of Three Indian LanguagesCode0
Dictionary-based Debiasing of Pre-trained Word EmbeddingsCode0
A Neighbourhood-Aware Differential Privacy Mechanism for Static Word EmbeddingsCode0
Debiasing Sentence Embedders through Contrastive Word PairsCode0
Synthetic Data Made to Order: The Case of ParsingCode0
Debiasing Word Embeddings with Nonlinear GeometryCode0
An Evaluation Dataset for Legal Word Embedding: A Case Study On Chinese CodexCode0
DialectGram: Detecting Dialectal Variation at Multiple Geographic ResolutionsCode0
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