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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 1151–1175 of 4002 papers

TitleStatusHype
Go Simple and Pre-Train on Domain-Specific Corpora: On the Role of Training Data for Text Classification—0
An Empirical Study of the Downstream Reliability of Pre-Trained Word Embeddings—0
Unequal Representations: Analyzing Intersectional Biases in Word Embeddings Using Representational Similarity AnalysisCode0
Coordination Boundary Identification without Labeled Data for Compound Terms Disambiguation—0
Contextualized Embeddings for Enriching Linguistic Analyses on Politeness—0
Multimodal Review Generation with Privacy and Fairness AwarenessCode0
Lexical Relation Mining in Neural Word Embeddings—0
Do Word Embeddings Capture Spelling Variation?Code0
A Retrofitting Model for Incorporating Semantic Relations into Word Embeddings—0
Improving Word Embeddings through Iterative Refinement of Word- and Character-level Models—0
Embeddings in Natural Language Processing—0
Neural Networks approaches focused on French Spoken Language Understanding: application to the MEDIA Evaluation TaskCode0
Affective and Contextual Embedding for Sarcasm DetectionCode1
Tiny Word Embeddings Using Globally Informed Reconstruction—0
A Simple and Effective Usage of Word Clusters for CBOW ModelCode0
A Review of Cross-Domain Text-to-SQL Models—0
Explaining Word Embeddings via Disentangled Representation—0
BERT-Based Neural Collaborative Filtering and Fixed-Length Contiguous Tokens Explanation—0
SHIKEBLCU at SemEval-2020 Task 2: An External Knowledge-enhanced Matrix for Multilingual and Cross-Lingual Lexical Entailment—0
SU-NLP at SemEval-2020 Task 12: Offensive Language IdentifiCation in Turkish Tweets—0
Automatic Learning of Modality Exclusivity Norms with Crosslingual Word Embeddings—0
DCC-Uchile at SemEval-2020 Task 1: Temporal Referencing Word Embeddings—0
UNT Linguistics at SemEval-2020 Task 12: Linear SVC with Pre-trained Word Embeddings as Document Vectors and Targeted Linguistic Features—0
Joint Training for Learning Cross-lingual Embeddings with Sub-word Information without Parallel Corpora—0
Assessing Polyseme Sense Similarity through Co-predication Acceptability and Contextualised Embedding Distance—0
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