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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 2226–2250 of 4002 papers

TitleStatusHype
SHEF-LIUM-NN: Sentence level Quality Estimation with Neural Network Features—0
SHEF-NN: Translation Quality Estimation with Neural Networks—0
SHIKEBLCU at SemEval-2020 Task 2: An External Knowledge-enhanced Matrix for Multilingual and Cross-Lingual Lexical Entailment—0
Short Text Clustering with Transformers—0
Shot Or Not: Comparison of NLP Approaches for Vaccination Behaviour Detection—0
Siamese Network-Based Supervised Topic Modeling—0
Siamese Networks for Inference in Malayalam Language Texts—0
SIEVE: Helping Developers Sift Wheat from Chaff via Cross-Platform Analysis—0
Signatures of prediction during natural listening in MEG data?—0
SimBow at SemEval-2017 Task 3: Soft-Cosine Semantic Similarity between Questions for Community Question Answering—0
SimCompass: Using Deep Learning Word Embeddings to Assess Cross-level Similarity—0
SimiHawk at SemEval-2016 Task 1: A Deep Ensemble System for Semantic Textual Similarity—0
Similarity-Based Reconstruction Loss for Meaning Representation—0
SimPA: A Sentence-Level Simplification Corpus for the Public Administration Domain—0
Simple Algorithms For Sentiment Analysis On Sentiment Rich, Data Poor Domains.—0
SimpleNets: Quality Estimation with Resource-Light Neural Networks—0
SimpleScience: Lexical Simplification of Scientific Terminology—0
Simple task-specific bilingual word embeddings—0
Simplifying Sentences with Sequence to Sequence Models—0
SimplifyUR: Unsupervised Lexical Text Simplification for Urdu—0
Simulating ASR errors for training SLU systems—0
SINAI at SemEval-2017 Task 4: User based classification—0
SINAI at SemEval-2021 Task 5: Combining Embeddings in a BiLSTM-CRF model for Toxic Spans Detection—0
SINAI-DL at SemEval-2019 Task 5: Recurrent networks and data augmentation by paraphrasing—0
Singleton Detection using Word Embeddings and Neural Networks—0
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