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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 376–400 of 4002 papers

TitleStatusHype
A Mixture Model for Learning Multi-Sense Word Embeddings—0
Artificial mental phenomena: Psychophysics as a framework to detect perception biases in AI models—0
Additional Shared Decoder on Siamese Multi-view Encoders for Learning Acoustic Word Embeddings—0
Artificial intelligence prediction of stock prices using social media—0
A semi-supervised model for Persian rumor verification based on content information—0
A Semi-universal Pipelined Approach to the CoNLL 2017 UD Shared Task—0
A Sense-Topic Model for Word Sense Induction with Unsupervised Data Enrichment—0
A Sequence Learning Method for Domain-Specific Entity Linking—0
A Short Survey of Pre-trained Language Models for Conversational AI-A NewAge in NLP—0
Addressing Low-Resource Scenarios with Character-aware Embeddings—0
A Chinese Writing Correction System for Learning Chinese as a Foreign Language—0
A Simple and Efficient Probabilistic Language model for Code-Mixed Text—0
A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition—0
A Simple Disaster-Related Knowledge Base for Intelligent Agents—0
A Simple Fully Connected Network for Composing Word Embeddings from Characters—0
A Simple Language Model based on PMI Matrix Approximations—0
A Simple Regularization-based Algorithm for Learning Cross-Domain Word Embeddings—0
A Simple Word Embedding Model for Lexical Substitution—0
Ask the GRU: Multi-Task Learning for Deep Text Recommendations—0
ASOBEK at SemEval-2016 Task 1: Sentence Representation with Character N-gram Embeddings for Semantic Textual Similarity—0
Article citation study: Context enhanced citation sentiment detection—0
Aspect-based Opinion Summarization with Convolutional Neural Networks—0
Aspect-Based Sentiment Analysis Using Bitmask Bidirectional Long Short Term Memory Networks—0
A multilabel approach to morphosyntactic probing—0
A Minimalist Approach to Shallow Discourse Parsing and Implicit Relation Recognition—0
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