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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 201–250 of 4002 papers

TitleStatusHype
A Graph Convolutional Topic Model for Short and Noisy Text StreamsCode1
Hurtful Words: Quantifying Biases in Clinical Contextual Word EmbeddingsCode1
Understanding the Downstream Instability of Word EmbeddingsCode1
Efficient Sentence Embedding via Semantic Subspace AnalysisCode1
Refinement of Unsupervised Cross-Lingual Word EmbeddingsCode1
Variational Bayesian QuantizationCode1
Multilingual acoustic word embedding models for processing zero-resource languagesCode1
Interpretable & Time-Budget-Constrained Contextualization for Re-RankingCode1
Data Mining in Clinical Trial Text: Transformers for Classification and Question Answering TasksCode1
The POLAR Framework: Polar Opposites Enable Interpretability of Pre-Trained Word EmbeddingsCode1
Paraphrase Generation with Latent Bag of WordsCode1
Two-Level Transformer and Auxiliary Coherence Modeling for Improved Text SegmentationCode1
TU Wien @ TREC Deep Learning '19 -- Simple Contextualization for Re-rankingCode1
DeFINE: DEep Factorized INput Token Embeddings for Neural Sequence ModelingCode1
Improving Document Classification with Multi-Sense EmbeddingsCode1
Structured Pruning of Large Language ModelsCode1
FreeLB: Enhanced Adversarial Training for Natural Language UnderstandingCode1
Topic Modeling in Embedding SpacesCode1
Word Embeddings for the Analysis of Ideological Placement in Parliamentary CorporaCode1
Unsupervised Multilingual Word Embedding with Limited Resources using Neural Language ModelsCode1
Language Modelling Makes Sense: Propagating Representations through WordNet for Full-Coverage Word Sense DisambiguationCode1
Measuring Bias in Contextualized Word RepresentationsCode1
Visualizing and Measuring the Geometry of BERTCode1
Zero-Shot Semantic SegmentationCode1
Adapting Text Embeddings for Causal InferenceCode1
Parallax: Visualizing and Understanding the Semantics of Embedding Spaces via Algebraic FormulaeCode1
Gender Bias in Contextualized Word EmbeddingsCode1
In Other News: A Bi-style Text-to-speech Model for Synthesizing Newscaster Voice with Limited DataCode1
Contextual Word Representations: A Contextual IntroductionCode1
pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence InferenceCode1
Understanding the Origins of Bias in Word EmbeddingsCode1
Word Error Rate Estimation for Speech Recognition: e-WERCode1
Probabilistic FastText for Multi-Sense Word EmbeddingsCode1
A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddingsCode1
Hierarchical Density Order EmbeddingsCode1
Utilizing Neural Networks and Linguistic Metadata for Early Detection of Depression Indications in Text SequencesCode1
Universal Sentence EncoderCode1
Speech2Vec: A Sequence-to-Sequence Framework for Learning Word Embeddings from SpeechCode1
SemRe-Rank: Improving Automatic Term Extraction By Incorporating Semantic Relatedness With Personalised PageRankCode1
ALL-IN-1: Short Text Classification with One Model for All LanguagesCode1
Optimal Hyperparameters for Deep LSTM-Networks for Sequence Labeling TasksCode1
Supervised Learning of Universal Sentence Representations from Natural Language Inference DataCode1
Multimodal Word DistributionsCode1
FastText.zip: Compressing text classification modelsCode1
Learning principled bilingual mappings of word embeddings while preserving monolingual invarianceCode1
Adversarial Training Methods for Semi-Supervised Text ClassificationCode1
From Word Embeddings to Item RecommendationCode1
Short Text Clustering via Convolutional Neural NetworksCode1
Speak2Sign3D: A Multi-modal Pipeline for English Speech to American Sign Language Animation—0
Computational Detection of Intertextual Parallels in Biblical Hebrew: A Benchmark Study Using Transformer-Based Language Models—0
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