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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 1501–1525 of 4002 papers

TitleStatusHype
Aspect-based Opinion Summarization with Convolutional Neural Networks—0
A Multi-Domain Framework for Textual Similarity. A Case Study on Question-to-Question and Question-Answering Similarity Tasks—0
Comparative study of LSA vs Word2vec embeddings in small corpora: a case study in dreams database—0
Comparative Analysis of Static and Contextual Embeddings for Analyzing Semantic Changes in Medieval Latin Charters—0
ASOBEK at SemEval-2016 Task 1: Sentence Representation with Character N-gram Embeddings for Semantic Textual Similarity—0
A Multidimensional Lexicon for Interpersonal Stancetaking—0
A Deep Content-Based Model for Persian Rumor Verification—0
Community Evaluation and Exchange of Word Vectors at wordvectors.org—0
Ask the GRU: Multi-Task Learning for Deep Text Recommendations—0
Coming to Your Senses: on Controls and Evaluation Sets in Polysemy Research—0
Coming to its senses: Lessons learned from Approximating Retrofitted BERT representations for Word Sense information—0
A Simple Word Embedding Model for Lexical Substitution—0
Amrita\_CEN at SemEval-2016 Task 1: Semantic Relation from Word Embeddings in Higher Dimension—0
Combining Word Embeddings with Bilingual Orthography Embeddings for Bilingual Dictionary Induction—0
Combining Word Embeddings and N-grams for Unsupervised Document Summarization—0
A Simple Regularization-based Algorithm for Learning Cross-Domain Word Embeddings—0
Combining word embeddings and convolutional neural networks to detect duplicated questions—0
A Simple Language Model based on PMI Matrix Approximations—0
Amplifying the Range of News Stories with Creativity: Methods and their Evaluation, in Portuguese—0
Addressing the Challenges of Cross-Lingual Hate Speech Detection—0
A Classification-Based Approach to Cognate Detection Combining Orthographic and Semantic Similarity Information—0
Combining time-series and textual data for taxi demand prediction in event areas: a deep learning approach—0
A Simple Fully Connected Network for Composing Word Embeddings from Characters—0
A Simple Disaster-Related Knowledge Base for Intelligent Agents—0
A mostly unlexicalized model for recognizing textual entailment—0
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