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Representation Learning

4,516 papers

Papers per year

Papers

Back to the Future – Temporal Adaptation of Text Representations AAAI 2020
Modelling Semantic Categories Using Conceptual Neighborhood AAAI 2020
Improving Entity Linking by Modeling Latent Entity Type Information AAAI 2020
Dynamic Embedding on Textual Networks via a Gaussian Process AAAI 2020
Just Add Functions: A Neural-Symbolic Language Model AAAI 2020
Rethinking Generalization of Neural Models: A Named Entity Recognition Case Study AAAI 2020
Open Domain Event Text Generation AAAI 2020
ABSent: Cross-Lingual Sentence Representation Mapping with Bidirectional GANs AAAI 2020
Latent Relation Language Models AAAI 2020
Knowledge-Graph Augmented Word Representations for Named Entity Recognition AAAI 2020
A General Framework for Implicit and Explicit Debiasing of Distributional Word Vector Spaces AAAI 2020
GraphER: Token-Centric Entity Resolution with Graph Convolutional Neural Networks AAAI 2020
Keywords-Guided Abstractive Sentence Summarization AAAI 2020
RefNet: A Reference-Aware Network for Background Based Conversation AAAI 2020
Entrainment2Vec: Embedding Entrainment for Multi-Party Dialogues AAAI 2020
Can Embeddings Adequately Represent Medical Terminology? New Large-Scale Medical Term Similarity Datasets Have the Answer! AAAI 2020
History-Adaption Knowledge Incorporation Mechanism for Multi-Turn Dialogue System AAAI 2020
Distributed Representations for Arithmetic Word Problems AAAI 2020
Neural Machine Translation with Byte-Level Subwords AAAI 2020
Multi-Level Head-Wise Match and Aggregation in Transformer for Textual Sequence Matching AAAI 2020
Integrating Deep Learning with Logic Fusion for Information Extraction AAAI 2020
Generalize Sentence Representation with Self-Inference AAAI 2020
Integrating Relation Constraints with Neural Relation Extractors AAAI 2020
PHASEN: A Phase-and-Harmonics-Aware Speech Enhancement Network AAAI 2020
Learning Conceptual-Contextual Embeddings for Medical Text AAAI 2020