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Embedding Learning

3751 directly classified papers

Papers per year

Papers

Revisiting the Context Window for Cross-lingual Word Embeddings ACL 2020
Learning and Evaluating Emotion Lexicons for 91 Languages ACL 2020
Stolen Probability: A Structural Weakness of Neural Language Models ACL 2020
Why Overfitting Isn’t Always Bad: Retrofitting Cross-Lingual Word Embeddings to Dictionaries ACL 2020
Can We Predict New Facts with Open Knowledge Graph Embeddings? A Benchmark for Open Link Prediction ACL 2020
Modelling Context and Syntactical Features for Aspect-based Sentiment Analysis ACL 2020
Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation ACL 2020
Emerging Cross-lingual Structure in Pretrained Language Models ACL 2020
User-Dependent Neural Sequence Models for Continuous-Time Event Data NIPS 2020
MineriaUNAM at SemEval-2020 Task 3: Predicting Contextual WordSimilarity Using a Centroid Based Approach and Word Embeddings COLING 2020
NEC-TT Speaker Verification System for SRE’19 CTS Challenge INTERSPEECH 2020
Hierarchical Linear Disentanglement of Data-Driven Conceptual Spaces IJCAI 2020
Memory Augmented Graph Neural Networks for Sequential Recommendation AAAI 2020
Hierarchical Feature Embedding for Attribute Recognition CVPR 2020
Sentence Meta-Embeddings for Unsupervised Semantic Textual Similarity ACL 2020
Integrating Semantic and Structural Information with Graph Convolutional Network for Controversy Detection ACL 2020
Inductive Quantum Embedding NIPS 2020
Learning Graph Structure With A Finite-State Automaton Layer NIPS 2020
Graph Geometry Interaction Learning NIPS 2020
P-SIF: Document Embeddings Using Partition Averaging AAAI 2020
Modelling Semantic Categories Using Conceptual Neighborhood AAAI 2020
Rule-Guided Compositional Representation Learning on Knowledge Graphs AAAI 2020
Ladder Loss for Coherent Visual-Semantic Embedding AAAI 2020
Generative Continual Concept Learning AAAI 2020
Improving the Robustness of Wasserstein Embedding by Adversarial PAC-Bayesian Learning AAAI 2020