SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3326–3350 of 4002 papers

TitleStatusHype
Censorship of Online Encyclopedias: Implications for NLP Models—0
CERM: Context-aware Literature-based Discovery via Sentiment Analysis—0
Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2021): Workshop and Shared Task Report—0
Challenging Language-Dependent Segmentation for Arabic: An Application to Machine Translation and Part-of-Speech Tagging—0
Changes in Commuter Behavior from COVID-19 Lockdowns in the Atlanta Metropolitan Area—0
Character and Subword-Based Word Representation for Neural Language Modeling Prediction—0
Character aware models with similarity learning for metaphor detection—0
Character-Aware Neural Morphological Disambiguation—0
Character-based Neural Machine Translation—0
Character-based Neural Machine Translation—0
Character n-gram Embeddings to Improve RNN Language Models—0
ChatGPT-EDSS: Empathetic Dialogue Speech Synthesis Trained from ChatGPT-derived Context Word Embeddings—0
Chemical Identification and Indexing in PubMed Articles via BERT and Text-to-Text Approaches—0
Chinese Embedding via Stroke and Glyph Information: A Dual-channel View—0
Chinese Event Extraction Using DeepNeural Network with Word Embedding—0
Chinese Hypernym-Hyponym Extraction from User Generated Categories—0
Chinese Zero Pronoun Resolution with Deep Neural Networks—0
CitiusNLP at SemEval-2020 Task 3: Comparing Two Approaches for Word Vector Contextualization—0
City2City: Translating Place Representations across Cities—0
CLaC at SemEval-2020 Task 5: Muli-task Stacked Bi-LSTMs—0
CLaC at SMM4H 2020: Birth Defect Mention Detection—0
CLaC Lab at SemEval-2019 Task 3: Contextual Emotion Detection Using a Combination of Neural Networks and SVM—0
ClaiRE at SemEval-2018 Task 7: Classification of Relations using Embeddings—0
Class-based Prediction Errors to Detect Hate Speech with Out-of-vocabulary Words—0
Classification Attention for Chinese NER—0
Show:102550
← PrevPage 134 of 161Next →

No leaderboard results yet.