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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 3676–3700 of 4002 papers

TitleStatusHype
AUEB-ABSA at SemEval-2016 Task 5: Ensembles of Classifiers and Embeddings for Aspect Based Sentiment Analysis—0
Tweester at SemEval-2016 Task 4: Sentiment Analysis in Twitter Using Semantic-Affective Model Adaptation—0
Improve Chinese Word Embeddings by Exploiting Internal StructureCode0
aueb.twitter.sentiment at SemEval-2016 Task 4: A Weighted Ensemble of SVMs for Twitter Sentiment Analysis—0
Symmetric Patterns and Coordinations: Fast and Enhanced Representations of Verbs and Adjectives—0
YZU-NLP Team at SemEval-2016 Task 4: Ordinal Sentiment Classification Using a Recurrent Convolutional Network—0
LSTM CCG Parsing—0
Deconstructing Complex Search Tasks: a Bayesian Nonparametric Approach for Extracting Sub-tasks—0
BIT at SemEval-2016 Task 1: Sentence Similarity Based on Alignments and Vector with the Weight of Information Content—0
INESC-ID at SemEval-2016 Task 4-A: Reducing the Problem of Out-of-Embedding Words—0
Finki at SemEval-2016 Task 4: Deep Learning Architecture for Twitter Sentiment Analysis—0
LIMSI-COT at SemEval-2016 Task 12: Temporal relation identification using a pipeline of classifiers—0
Bilingual Word Embeddings from Parallel and Non-parallel Corpora for Cross-Language Text Classification—0
Lexical Coherence Graph Modeling Using Word Embeddings—0
Multimodal Semantic Learning from Child-Directed Input—0
Right-truncatable Neural Word Embeddings—0
AI-KU at SemEval-2016 Task 11: Word Embeddings and Substring Features for Complex Word Identification—0
Fashioning Data - A Social Media Perspective on Fast Fashion Brands—0
FBK HLT-MT at SemEval-2016 Task 1: Cross-lingual Semantic Similarity Measurement Using Quality Estimation Features and Compositional Bilingual Word Embeddings—0
SENSEI-LIF at SemEval-2016 Task 4: Polarity embedding fusion for robust sentiment analysis—0
Automatically Inferring Implicit Properties in Similes—0
Self-Reflective Sentiment Analysis—0
Drop-out Conditional Random Fields for Twitter with Huge Mined Gazetteer—0
UTA DLNLP at SemEval-2016 Task 1: Semantic Textual Similarity: A Unified Framework for Semantic Processing and Evaluation—0
UniPI at SemEval-2016 Task 4: Convolutional Neural Networks for Sentiment Classification—0
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