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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

Showing 23512400 of 4002 papers

TitleStatusHype
Genre Separation Network with Adversarial Training for Cross-genre Relation Extraction0
Geographical Evaluation of Word Embeddings0
Geographically-Balanced Gigaword Corpora for 50 Language Varieties0
Geometry-aware Domain Adaptation for Unsupervised Alignment of Word Embeddings0
Getting the \#\#life out of living: How Adequate Are Word-Pieces for Modelling Complex Morphology?0
GHH at SemEval-2018 Task 10: Discovering Discriminative Attributes in Distributional Semantics0
GiBERT: Introducing Linguistic Knowledge into BERT through a Lightweight Gated Injection Method0
Give It a Shot: Few-shot Learning to Normalize ADR Mentions in Social Media Posts0
GL at SemEval-2019 Task 5: Identifying hateful tweets with a deep learning approach.0
GlobalTrait: Personality Alignment of Multilingual Word Embeddings0
GLoMo: Unsupervised Learning of Transferable Relational Graphs0
Gloss Alignment Using Word Embeddings0
GlossReader at SemEval-2021 Task 2: Reading Definitions Improves Contextualized Word Embeddings0
GM-CTSC at SemEval-2020 Task 1: Gaussian Mixtures Cross Temporal Similarity Clustering0
Going Beyond T-SNE: Exposing whatlies in Text Embeddings0
Go Simple and Pre-Train on Domain-Specific Corpora: On the Role of Training Data for Text Classification0
Grammar and Meaning: Analysing the Topology of Diachronic Word Embeddings0
Grammatical Gender, Neo-Whorfianism, and Word Embeddings: A Data-Driven Approach to Linguistic Relativity0
Graph-based Nearest Neighbor Search in Hyperbolic Spaces0
Graph Based Semi-Supervised Learning Approach for Tamil POS tagging0
Graph-based Syntactic Word Embeddings0
Grapheme-level Awareness in Word Embeddings for Morphologically Rich Languages0
Graph Exploration and Cross-lingual Word Embeddings for Translation Inference Across Dictionaries0
Gromov-Wasserstein Alignment of Word Embedding Spaces0
Grouping business news stories based on salience of named entities0
Group-Sparse Matrix Factorization for Transfer Learning of Word Embeddings0
GSI-UPM at SemEval-2019 Task 5: Semantic Similarity and Word Embeddings for Multilingual Detection of Hate Speech Against Immigrants and Women on Twitter0
gundapusunil at SemEval-2020 Task 9: Syntactic Semantic LSTM Architecture for SENTIment Analysis of Code-MIXed Data0
GWPT: A Green Word-Embedding-based POS Tagger0
GWU NLP at SemEval-2016 Shared Task 1: Matrix Factorization for Crosslingual STS0
GWU NLP Lab at SemEval-2019 Task 3: EmoContext: Effective Contextual Information in Models for Emotion Detection in Sentence-level in a Multigenre Corpus0
GWU NLP Lab at SemEval-2019 Task 3 : EmoContext: Effectiveness ofContextual Information in Models for Emotion Detection inSentence-level at Multi-genre Corpus0
Habibi - a multi Dialect multi National Arabic Song Lyrics Corpus0
Hallym: Named Entity Recognition on Twitter with Word Representation0
Handling Homographs in Neural Machine Translation0
Handling Normalization Issues for Part-of-Speech Tagging of Online Conversational Text0
Handling Out-Of-Vocabulary Problem in Hangeul Word Embeddings0
Hash2Vec, Feature Hashing for Word Embeddings0
Hate and Offensive Speech Detection in Hindi and Marathi0
Hate speech detection using static BERT embeddings0
HCCL at SemEval-2017 Task 2: Combining Multilingual Word Embeddings and Transliteration Model for Semantic Similarity0
HECTOR: A Hybrid TExt SimplifiCation TOol for Raw Texts in French0
He said ``who's gonna take care of your children when you are at ACL?'': Reported Sexist Acts are Not Sexist0
HG2Vec: Improved Word Embeddings from Dictionary and Thesaurus Based Heterogeneous Graph0
HGSGNLP at IEST 2018: An Ensemble of Machine Learning and Deep Neural Architectures for Implicit Emotion Classification in Tweets0
HHU at SemEval-2016 Task 1: Multiple Approaches to Measuring Semantic Textual Similarity0
HHU at SemEval-2017 Task 2: Fast Hash-Based Embeddings for Semantic Word Similarity Assessment0
HICEM: A High-Coverage Emotion Model for Artificial Emotional Intelligence0
Hierarchical Autoregressive Transformers: Combining Byte- and Word-Level Processing for Robust, Adaptable Language Models0
HIN-RNN: A Graph Representation Learning Neural Network for Fraudster Group Detection With No Handcrafted Features0
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