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ACL 2019/7

relation extraction
  • paper: 13篇
    • Entity-Relation Extraction as Multi-Turn Question Answering
    • Exploiting Entity BIO Tag Embeddings and Multi-task Learning for Relation Extraction with Imbalanced Data
    • Neural Relation Extraction for Knowledge Base Enrichment
    • DIAG-NRE: A Neural Pattern Diagnosis Framework for Distantly Supervised Neural Relation Extraction
Negative Sampling
  • 1篇
    • Negative Lexically Constrained Decoding for Paraphrase Generation
Topic Modeling with Wasserstein Autoencoders
  • 1篇
    • Topic Modeling with Wasserstein Autoencoders

EMNLP-IJCNLP 2019/10

relation extraction
  • long paper: 11篇

    • Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs
  • short paper: 3篇

    • Cross-Sentence N-ary Relation Extraction using Lower-Arity Universal Schemas
    • An Improved Neural Baseline for Temporal Relation Extraction
    • Self-Attention Enhanced CNNs and Collaborative Curriculum Learning for Distantly Supervised Relation Extraction
  • demo paper: 1篇

    • OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction
    • OpenNRE 工具
    • 算法:PCNN, CNN, RNN, birnn
Negative Sampling
  • 3篇
    • Sampling Matters! An Empirical Study of Negative Sampling Strategies for Learning of Matching Models in Retrieval-based Dialogue Systems
    • Negative Focus Detection via Contextual Attention Mechanisms
    • Improving Answer Selection and Answer Triggering using Hard Negatives
Autoencoders
  • 3篇

NIPS 2019/12

Autoencoders
  • 5篇