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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 1276–1300 of 4002 papers

TitleStatusHype
CogniVal in Action: An Interface for Customizable Cognitive Word Embedding Evaluation—0
CMCE at SemEval-2020 Task 1: Clustering on Manifolds of Contextualized Embeddings to Detect Historical Meaning ShiftsCode0
Argument from Old Man’s View: Assessing Social Bias in Argumentation—0
A Locally Linear Procedure for Word Translation—0
Tiny Word Embeddings Using Globally Informed Reconstruction—0
A Review of Cross-Domain Text-to-SQL Models—0
A Retrofitting Model for Incorporating Semantic Relations into Word Embeddings—0
CLaC at SMM4H 2020: Birth Defect Mention Detection—0
CLaC at SemEval-2020 Task 5: Muli-task Stacked Bi-LSTMs—0
CitiusNLP at SemEval-2020 Task 3: Comparing Two Approaches for Word Vector Contextualization—0
Joint Training for Learning Cross-lingual Embeddings with Sub-word Information without Parallel Corpora—0
SMM4H Shared Task 2020 - A Hybrid Pipeline for Identifying Prescription Drug Abuse from Twitter: Machine Learning, Deep Learning, and Post-Processing—0
Can Existing Methods Debias Languages Other than English? First Attempt to Analyze and Mitigate Japanese Word Embeddings—0
Multimodal Review Generation with Privacy and Fairness AwarenessCode0
Embeddings in Natural Language Processing—0
UZH at SemEval-2020 Task 3: Combining BERT with WordNet Sense Embeddings to Predict Graded Word Similarity Changes—0
A Language-Based Approach to Fake News Detection Through Interpretable Features and BRNN—0
UAlberta at SemEval-2020 Task 2: Using Translations to Predict Cross-Lingual Entailment—0
SHIKEBLCU at SemEval-2020 Task 2: An External Knowledge-enhanced Matrix for Multilingual and Cross-Lingual Lexical Entailment—0
Do Word Embeddings Capture Spelling Variation?Code0
DoTheMath at SemEval-2020 Task 12 : Deep Neural Networks with Self Attention for Arabic Offensive Language Detection—0
Meta-Embeddings for Natural Language Inference and Semantic Similarity tasks—0
Interdependencies of Gender and Race in Contextualized Word Embeddings—0
“Shakespeare in the Vectorian Age” – An evaluation of different word embeddings and NLP parameters for the detection of Shakespeare quotes—0
Expert Concept-Modeling Ground Truth Construction for Word Embeddings Evaluation in Concept-Focused DomainsCode0
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