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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 601–625 of 4002 papers

TitleStatusHype
Apples to Apples: Learning Semantics of Common Entities Through a Novel Comprehension Task—0
Actionable and Political Text Classification using Word Embeddings and LSTM—0
Abusive language in Spanish children and young teenager's conversations: data preparation and short text classification with contextual word embeddings—0
Appformer: A Novel Framework for Mobile App Usage Prediction Leveraging Progressive Multi-Modal Data Fusion and Feature Extraction—0
A Language-Based Approach to Fake News Detection Through Interpretable Features and BRNN—0
A polar coordinate system represents syntax in large language models—0
A Platform Agnostic Dual-Strand Hate Speech Detector—0
A k-Nearest Neighbor Approach towards Multi-level Sequence Labeling—0
A CTC Alignment-based Non-autoregressive Transformer for End-to-end Automatic Speech Recognition—0
CitiusNLP at SemEval-2020 Task 3: Comparing Two Approaches for Word Vector Contextualization—0
CLaC at SemEval-2020 Task 5: Muli-task Stacked Bi-LSTMs—0
Classification Attention for Chinese NER—0
CNN- and LSTM-based Claim Classification in Online User Comments—0
"A Passage to India": Pre-trained Word Embeddings for Indian Languages—0
A Joint Model for Word Embedding and Word Morphology—0
``A Passage to India'': Pre-trained Word Embeddings for Indian Languages—0
AI-KU at SemEval-2016 Task 11: Word Embeddings and Substring Features for Complex Word Identification—0
A Cross-lingual Natural Language Processing Framework for Infodemic Management—0
Chinese Embedding via Stroke and Glyph Information: A Dual-channel View—0
基於相依詞向量的剖析結果重估與排序(N-best Parse Rescoring Based on Dependency-Based Word Embeddings)—0
Any-language frame-semantic parsing—0
Any-gram Kernels for Sentence Classification: A Sentiment Analysis Case Study—0
Bootstrapping NLU Models with Multi-task Learning—0
Bootstrapping Multilingual AMR with Contextual Word Alignments—0
An Unsupervised System for Parallel Corpus Filtering—0
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