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Researcher profile

Makoto Miwa

5 papers in the PaperMetrix corpus

Publications

Papers by this author

  1. End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures

    2016 · arXiv (Cornell University)

    We present a novel end-to-end neural model to extract entities and relations between them. Our recurrent neural network based model captures both word sequence and dependency tree substructure information by stacking bidirectional tree-structured LSTM-RNNs on …

  2. A Walk-based Model on Entity Graphs for Relation Extraction

    2019 · arXiv (Cornell University)

    We present a novel graph-based neural network model for relation extraction. Our model treats multiple pairs in a sentence simultaneously and considers interactions among them. All the entities in a sentence are placed as nodes …

  3. Deep Exhaustive Model for Nested Named Entity Recognition

    2018

    We propose a simple deep neural model for nested named entity recognition (NER). Most NER models focused on flat entities and ignored nested entities, which failed to fully capture underlying semantic information in texts.

  4. Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network

    2019 · Research Explorer (The University of Manchester)

    Inter-sentence relation extraction deals with a number of complex semantic relationships in documents, which require local, non-local, syntactic and semantic dependencies. Existing methods do not fully exploit such dependencies. We present a novel inter-sentence relation …

  5. Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs

    2019

    Fenia Christopoulou, Makoto Miwa, Sophia Ananiadou. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). 2019.