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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 851–900 of 4002 papers

TitleStatusHype
Paradigm Clustering with Weighted Edit Distance—0
Using Word Embeddings to Analyze Teacher Evaluations: An Application to a Filipino Education Non-Profit Organization—0
Exploring Input Representation Granularity for Generating Questions Satisfying Question-Answer Congruence—0
Tracking Semantic Change in Cognate Sets for English and Romance Languages—0
Linguistic change and historical periodization of Old Literary Finnish—0
Multilingual Dependency Parsing for Low-Resource African Languages: Case Studies on Bambara, Wolof, and Yoruba—0
“Are you calling for the vaporizer you ordered?” Combining Search and Prediction to Identify Orders in Contact Centers—0
Applying Occam’s Razor to Transformer-Based Dependency Parsing: What Works, What Doesn’t, and What is Really Necessary—0
Measure and Evaluation of Semantic Divergence across Two Languages—0
Rethinking Stealthiness of Backdoor Attack against NLP ModelsCode1
SINAI at SemEval-2021 Task 5: Combining Embeddings in a BiLSTM-CRF model for Toxic Spans Detection—0
UMUTeam at SemEval-2021 Task 7: Detecting and Rating Humor and Offense with Linguistic Features and Word EmbeddingsCode0
RAW-C: Relatedness of Ambiguous Words in Context (A New Lexical Resource for English)—0
Beyond Offline Mapping: Learning Cross-lingual Word Embeddings through Context Anchoring—0
Modeling Text using the Continuous Space Topic Model with Pre-Trained Word Embeddings—0
GlossReader at SemEval-2021 Task 2: Reading Definitions Improves Contextualized Word Embeddings—0
Evaluating a Joint Training Approach for Learning Cross-lingual Embeddings with Sub-word Information without Parallel Corpora on Lower-resource Languages—0
Compound or Term Features? Analyzing Salience in Predicting the Difficulty of German Noun Compounds across Domains—0
JCT at SemEval-2021 Task 1: Context-aware Representation for Lexical Complexity Prediction—0
TUDA-CCL at SemEval-2021 Task 1: Using Gradient-boosted Regression Tree Ensembles Trained on a Heterogeneous Feature Set for Predicting Lexical Complexity—0
RS\_GV at SemEval-2021 Task 1: Sense Relative Lexical Complexity Prediction—0
CLULEX at SemEval-2021 Task 1: A Simple System Goes a Long Way—0
PolyU CBS-Comp at SemEval-2021 Task 1: Lexical Complexity Prediction (LCP)—0
Learning Embeddings for Rare Words Leveraging Internet Search Engine and Spatial Location Relationships—0
GX at SemEval-2021 Task 2: BERT with Lemma Information for MCL-WiC TaskCode0
Stanford MLab at SemEval-2021 Task 1: Tree-Based Modelling of Lexical Complexity using Word Embeddings—0
Realised Volatility Forecasting: Machine Learning via Financial Word Embedding—0
Arabic aspect sentiment polarity classification using BERT—0
Language Models as Zero-shot Visual Semantic Learners—0
Stress Test Evaluation of Biomedical Word EmbeddingsCode0
Theoretical foundations and limits of word embeddings: what types of meaning can they capture?—0
Improved Text Classification via Contrastive Adversarial Training—0
Using Adversarial Debiasing to Remove Bias from Word Embeddings—0
Debiasing Multilingual Word Embeddings: A Case Study of Three Indian LanguagesCode0
Unsupervised Identification of Relevant Prior CasesCode0
Document Embedding for Scientific Articles: Efficacy of Word Embeddings vs TFIDF—0
Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review—0
Sentence-level Online Handwritten Chinese Character Recognition—0
DUKweb: Diachronic word representations from the UK Web Archive corpusCode0
Tackling COVID-19 Infodemic using Deep Learning—0
Leveraging Domain Agnostic and Specific Knowledge for Acronym Disambiguation—0
Cross-lingual alignments of ELMo contextual embeddings—0
A Simple and Efficient Probabilistic Language model for Code-Mixed Text—0
Hate speech detection using static BERT embeddings—0
SAT Based Analogy Evaluation Framework for Persian Word Embeddings—0
A Source-Criticism Debiasing Method for GloVe EmbeddingsCode1
Multilingual transfer of acoustic word embeddings improves when training on languages related to the target zero-resource languageCode0
Clinical Named Entity Recognition using Contextualized Token Representations—0
Mixtures of Deep Neural Experts for Automated Speech Scoring—0
Membership Inference on Word Embedding and Beyond—0
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