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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 1026–1050 of 4002 papers

TitleStatusHype
Stanford MLab at SemEval-2021 Task 1: Tree-Based Modelling of Lexical Complexity using Word Embeddings—0
MXX@FinSim3 - An LSTM–based approach with custom word embeddings for hypernym detection in financial texts—0
JCT at SemEval-2021 Task 1: Context-aware Representation for Lexical Complexity Prediction—0
UMUTeam at SemEval-2021 Task 7: Detecting and Rating Humor and Offense with Linguistic Features and Word EmbeddingsCode0
SINAI at SemEval-2021 Task 5: Combining Embeddings in a BiLSTM-CRF model for Toxic Spans Detection—0
Beyond Offline Mapping: Learning Cross-lingual Word Embeddings through Context Anchoring—0
Linguistic change and historical periodization of Old Literary Finnish—0
Implicit Phenomena in Short-answer Scoring Data—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
Debiasing Multilingual Word Embeddings: A Case Study of Three Indian LanguagesCode0
Using Adversarial Debiasing to Remove Bias from Word Embeddings—0
Improved Text Classification via Contrastive Adversarial Training—0
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
Leveraging Domain Agnostic and Specific Knowledge for Acronym Disambiguation—0
Tackling COVID-19 Infodemic using Deep Learning—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
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