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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 3501–3550 of 4002 papers

TitleStatusHype
Cross-Lingual Dependency Parsing Using Code-Mixed TreeBank—0
Cross-Lingual Dependency Parsing with Universal Dependencies and Predicted PoS Labels—0
Cross-lingual Embeddings Reveal Universal and Lineage-Specific Patterns in Grammatical Gender Assignment—0
Cross-lingual Feature Extraction from Monolingual Corpora for Low-resource Unsupervised Bilingual Lexicon Induction—0
Cross-lingual hate speech detection based on multilingual domain-specific word embeddings—0
Cross-Lingual Induction and Transfer of Verb Classes Based on Word Vector Space Specialisation—0
Cross-lingual Linking of Automatically Constructed Frames and FrameNet—0
Cross-Lingual Pronoun Prediction with Deep Recurrent Neural Networks v2.0—0
Cross-Lingual Suicidal-Oriented Word Embedding toward Suicide Prevention—0
Cross-Lingual Syntactically Informed Distributed Word Representations—0
Cross-lingual Transfer for Unsupervised Dependency Parsing Without Parallel Data—0
Cross-Lingual Transfer Learning for Hate Speech Detection—0
Cross-Lingual Transfer Learning for POS Tagging without Cross-Lingual Resources—0
Cross-lingual Transfer of Sentiment Classifiers—0
Cross-Lingual Word Alignment for ASEAN Languages with Contrastive Learning—0
Cross-Lingual Word Embeddings and the Structure of the Human Bilingual Lexicon—0
Cross-lingual Word Embeddings beyond Zero-shot Machine Translation—0
Cross-Lingual Word Embeddings for Morphologically Rich Languages—0
Cross-Lingual Word Embeddings for Low-Resource Language Modeling—0
Cross-lingual Word Embeddings in Hyperbolic Space—0
Cross-lingual Word Embeddings in Hyperbolic Space—0
Cross-Lingual Word Representations: Induction and Evaluation—0
Cross-lingual Word Sense Disambiguation using mBERT Embeddings with Syntactic Dependencies—0
Crossword: Estimating Unknown Embeddings using Cross Attention and Alignment Strategies—0
CroVeWA: Crosslingual Vector-Based Writing Assistance—0
Cseq2seq: Cyclic Sequence-to-Sequence Learning—0
CSReader at SemEval-2018 Task 11: Multiple Choice Question Answering as Textual Entailment—0
CUFE at SemEval-2016 Task 4: A Gated Recurrent Model for Sentiment Classification—0
Cultural Cartography with Word Embeddings—0
CU-NLP at SemEval-2016 Task 8: AMR Parsing using LSTM-based Recurrent Neural Networks—0
Curatr: A Platform for Semantic Analysis and Curation of Historical Literary Texts—0
Current Trends and Approaches in Synonyms Extraction: Potential Adaptation to Arabic—0
CVBed: Structuring CVs usingWord Embeddings—0
Czech Historical Named Entity Corpus v 1.0—0
DAG-based Long Short-Term Memory for Neural Word Segmentation—0
Data Augmentation with Unsupervised Machine Translation Improves the Structural Similarity of Cross-lingual Word Embeddings—0
Data-Driven Mitigation of Adversarial Text Perturbation—0
Data Filtering using Cross-Lingual Word Embeddings—0
Data Sets: Word Embeddings Learned from Tweets and General Data—0
DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison—0
DCC-Uchile at SemEval-2020 Task 1: Temporal Referencing Word Embeddings—0
DCU: Using Distributional Semantics and Domain Adaptation for the Semantic Textual Similarity SemEval-2015 Task 2—0
Debiasing Embeddings for Reduced Gender Bias in Text Classification—0
Debiasing Pretrained Text Encoders by Paying Attention to Paying Attention—0
Debiasing Word Embeddings Improves Multimodal Machine Translation—0
Deceptive Opinion Spam Detection Using Neural Network—0
Decoding Brain Activity Associated with Literal and Metaphoric Sentence Comprehension Using Distributional Semantic Models—0
Decoding Word Embeddings with Brain-Based Semantic Features—0
Decomposing Generalization: Models of Generic, Habitual, and Episodic Statements—0
Decomposing Word Embedding with the Capsule Network—0
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