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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 601650 of 4002 papers

TitleStatusHype
Eye-tracking based classification of Mandarin Chinese readers with and without dyslexia using neural sequence modelsCode0
Social Biases in Automatic Evaluation Metrics for NLG0
Temporal Word Meaning Disambiguation using TimeLMs0
On the Explainability of Natural Language Processing Deep Models0
Early Discovery of Disappearing Entities in Microblogs0
Domain-Specific Word Embeddings with Structure PredictionCode0
PQLM -- Multilingual Decentralized Portable Quantum Language Model for Privacy Protection0
Lexical semantics enhanced neural word embeddings0
HG2Vec: Improved Word Embeddings from Dictionary and Thesaurus Based Heterogeneous Graph0
CILex: An Investigation of Context Information for Lexical Substitution MethodsCode0
ConTextING: Granting Document-Wise Contextual Embeddings to Graph Neural Networks for Inductive Text Classification0
Evaluating Word Embeddings in Extremely Under-Resourced Languages: A Case Study in Bribri0
COIN – an Inexpensive and Strong Baseline for Predicting Out of Vocabulary Word Embeddings0
SOS: Systematic Offensive Stereotyping Bias in Word Embeddings0
A multi-level approach for hierarchical Ticket Classification0
Multi-Stage Framework with Refinement Based Point Set Registration for Unsupervised Bi-Lingual Word Alignment0
Cross-lingual Feature Extraction from Monolingual Corpora for Low-resource Unsupervised Bilingual Lexicon Induction0
Aligning Word Vectors on Low-Resource Languages with WiktionaryCode0
Emotion Enriched Retrofitted Word Embeddings0
Romanian micro-blogging named entity recognition including health-related entities0
Tales and Tropes: Gender Roles from Word Embeddings in a Century of Children’s Books0
Leveraging Semantic and Sentiment Knowledge for User-Generated Text Sentiment Classification0
How to encode arbitrarily complex morphology in word embeddings, no corpus needed0
Revisiting Statistical Laws of Semantic Shift in Romance Cognates0
One Word, Two Sides: Traces of Stance in Contextualized Word RepresentationsCode0
Vocabulary-informed Language Encoding0
I2DFormer: Learning Image to Document Attention for Zero-Shot Image Classification0
Representing Affect Information in Word Embeddings0
Unsupervised Lexical Substitution with Decontextualised EmbeddingsCode0
Integrating Form and Meaning: A Multi-Task Learning Model for Acoustic Word EmbeddingsCode0
Evaluation of Question Answering Systems: Complexity of judging a natural language0
Visual Grounding of Inter-lingual Word-Embeddings0
User recommendation system based on MIND dataset0
Layer or Representation Space: What makes BERT-based Evaluation Metrics Robust?Code0
Knowledge-aware attentional neural network for review-based movie recommendation with explanationsCode0
Do gender neutral affixes naturally reduce gender bias in static word embeddings?0
Enhancing Semantic Understanding with Self-supervised Methods for Abstractive Dialogue Summarization0
Improving Translation of Out Of Vocabulary Words using Bilingual Lexicon Induction in Low-Resource Machine Translation0
Gender bias Evaluation in Luganda-English Machine Translation0
Debiasing Word Embeddings with Nonlinear GeometryCode0
Learning Dynamic Contextualised Word Embeddings via Template-based Temporal AdaptationCode0
Dialogue Term Extraction using Transfer Learning and Topological Data Analysis0
Lost in Context? On the Sense-wise Variance of Contextualized Word Embeddings0
Word-Embeddings Distinguish Denominal and Root-Derived Verbs in Semitic0
Assessing the Unitary RNN as an End-to-End Compositional Model of Syntax0
Where's the Learning in Representation Learning for Compositional Semantics and the Case of Thematic Fit0
Large scale analysis of gender bias and sexism in song lyrics0
Benchmarking zero-shot and few-shot approaches for tokenization, tagging, and dependency parsing of Tagalog text0
Gender bias in (non)-contextual clinical word embeddings for stereotypical medical categories0
Massively Multilingual Lexical Specialization of Multilingual Transformers0
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