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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 2376–2400 of 4002 papers

TitleStatusHype
Group-Sparse Matrix Factorization for Transfer Learning of Word Embeddings—0
GSI-UPM at SemEval-2019 Task 5: Semantic Similarity and Word Embeddings for Multilingual Detection of Hate Speech Against Immigrants and Women on Twitter—0
gundapusunil at SemEval-2020 Task 9: Syntactic Semantic LSTM Architecture for SENTIment Analysis of Code-MIXed Data—0
GWPT: A Green Word-Embedding-based POS Tagger—0
GWU NLP at SemEval-2016 Shared Task 1: Matrix Factorization for Crosslingual STS—0
GWU NLP Lab at SemEval-2019 Task 3: EmoContext: Effective Contextual Information in Models for Emotion Detection in Sentence-level in a Multigenre Corpus—0
GWU NLP Lab at SemEval-2019 Task 3 : EmoContext: Effectiveness ofContextual Information in Models for Emotion Detection inSentence-level at Multi-genre Corpus—0
Habibi - a multi Dialect multi National Arabic Song Lyrics Corpus—0
Hallym: Named Entity Recognition on Twitter with Word Representation—0
Handling Homographs in Neural Machine Translation—0
Handling Normalization Issues for Part-of-Speech Tagging of Online Conversational Text—0
Handling Out-Of-Vocabulary Problem in Hangeul Word Embeddings—0
Hash2Vec, Feature Hashing for Word Embeddings—0
Hate and Offensive Speech Detection in Hindi and Marathi—0
Hate speech detection using static BERT embeddings—0
HCCL at SemEval-2017 Task 2: Combining Multilingual Word Embeddings and Transliteration Model for Semantic Similarity—0
HECTOR: A Hybrid TExt SimplifiCation TOol for Raw Texts in French—0
He said ``who's gonna take care of your children when you are at ACL?'': Reported Sexist Acts are Not Sexist—0
HG2Vec: Improved Word Embeddings from Dictionary and Thesaurus Based Heterogeneous Graph—0
HGSGNLP at IEST 2018: An Ensemble of Machine Learning and Deep Neural Architectures for Implicit Emotion Classification in Tweets—0
HHU at SemEval-2016 Task 1: Multiple Approaches to Measuring Semantic Textual Similarity—0
HHU at SemEval-2017 Task 2: Fast Hash-Based Embeddings for Semantic Word Similarity Assessment—0
HICEM: A High-Coverage Emotion Model for Artificial Emotional Intelligence—0
Hierarchical Autoregressive Transformers: Combining Byte- and Word-Level Processing for Robust, Adaptable Language Models—0
HIN-RNN: A Graph Representation Learning Neural Network for Fraudster Group Detection With No Handcrafted Features—0
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