conftrace_

Representation Learning

20,822 papers

Papers per year

2
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101
309
2011
2283
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Papers

METNet: A Mutual Enhanced Transformation Network for Aspect-based Sentiment Analysis COLING 2020
End-to-End Emotion-Cause Pair Extraction with Graph Convolutional Network COLING 2020
Weighed Domain-Invariant Representation Learning for Cross-domain Sentiment Analysis COLING 2020
A Representation Learning Approach to Animal Biodiversity Conservation COLING 2020
Generating Equation by Utilizing Operators : GEO model COLING 2020
LAVA: Latent Action Spaces via Variational Auto-encoding for Dialogue Policy Optimization COLING 2020
Knowledge Graph Embeddings in Geometric Algebras COLING 2020
Exploiting Node Content for Multiview Graph Convolutional Network and Adversarial Regularization COLING 2020
RatE: Relation-Adaptive Translating Embedding for Knowledge Graph Completion COLING 2020
Probing Multimodal Embeddings for Linguistic Properties: the Visual-Semantic Case COLING 2020
Syntax-Aware Graph Attention Network for Aspect-Level Sentiment Classification COLING 2020
Label Correction Model for Aspect-based Sentiment Analysis COLING 2020
Constituency Lattice Encoding for Aspect Term Extraction COLING 2020
Do Word Embeddings Capture Spelling Variation? COLING 2020
Answering Legal Questions by Learning Neural Attentive Text Representation COLING 2020
Imagining Grounded Conceptual Representations from Perceptual Information in Situated Guessing Games COLING 2020
Meet Changes with Constancy: Learning Invariance in Multi-Source Translation COLING 2020
Always Keep your Target in Mind: Studying Semantics and Improving Performance of Neural Lexical Substitution COLING 2020
How Relevant Are Selectional Preferences for Transformer-based Language Models? COLING 2020
Embedding Semantic Taxonomies COLING 2020
Lexical Relation Mining in Neural Word Embeddings COLING 2020
A BERT-based Dual Embedding Model for Chinese Idiom Prediction COLING 2020
What Can We Learn from Noun Substitutions in Revision Histories? COLING 2020
Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity COLING 2020
On the Helpfulness of Document Context to Sentence Simplification COLING 2020