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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 2201–2250 of 4002 papers

TitleStatusHype
Sentence Embedding Evaluation Using Pyramid Annotation—0
Sentence-level Online Handwritten Chinese Character Recognition—0
Sentence Modeling via Multiple Word Embeddings and Multi-level Comparison for Semantic Textual Similarity—0
Sentence Modeling with Deep Neural Architecture using Lexicon and Character Attention Mechanism for Sentiment Classification—0
Sentence Segmentation in Narrative Transcripts from Neuropsychological Tests using Recurrent Convolutional Neural Networks—0
Sentence Selection Strategies for Distilling Word Embeddings from BERT—0
Sentence Selection Strategies for Distilling Word Embeddings from BERT—0
Sentence Similarity Measures for Fine-Grained Estimation of Topical Relevance in Learner Essays—0
Senti17 at SemEval-2017 Task 4: Ten Convolutional Neural Network Voters for Tweet Polarity Classification—0
Sentiment Analysis by Joint Learning of Word Embeddings and Classifier—0
Sentiment Analysis for Hinglish Code-mixed Tweets by means of Cross-lingual Word Embeddings—0
Sentiment Analysis in SemEval: A Review of Sentiment Identification Approaches—0
Sentiment Analysis Using Aligned Word Embeddings for Uralic Languages—0
Sentiment Intensity Ranking among Adjectives Using Sentiment Bearing Word Embeddings—0
Sentiment Lexicon Creation using Continuous Latent Space and Neural Networks—0
SentiNLP at IJCNLP-2017 Task 4: Customer Feedback Analysis Using a Bi-LSTM-CNN Model—0
Sentylic at IEST 2018: Gated Recurrent Neural Network and Capsule Network Based Approach for Implicit Emotion Detection—0
SenZi: A Sentiment Analysis Lexicon for the Latinised Arabic (Arabizi)—0
Sequential Embedding Induced Text Clustering, a Non-parametric Bayesian Approach—0
Sex Trafficking Detection with Ordinal Regression Neural Networks—0
“Shakespeare in the Vectorian Age” – An evaluation of different word embeddings and NLP parameters for the detection of Shakespeare quotes—0
Shallow Domain Adaptive Embeddings for Sentiment Analysis—0
Shape of Elephant: Study of Macro Properties of Word Embeddings Spaces—0
Shaping a Stabilized Video by Mitigating Unintended Changes for Concept-Augmented Video Editing—0
Shared-Private Bilingual Word Embeddings for Neural Machine Translation—0
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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