4.7 Article

Gated tree-structured RecurNN for Detecting Biomedical Event Trigger

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Engineering, Electrical & Electronic

Multi-layered attentional peephole convolutional LSTM for abstractive text summarization

Md Motiur Rahman et al.

Summary: This study introduces a summary generation model based on multilayered attentional peephole convolutional LSTM, which improves the quality of summaries by giving weights to important parts of the source text during training. Evaluations show that this model outperforms traditional LSTM-based models in terms of semantic coherence.

ETRI JOURNAL (2021)

Article Biochemical Research Methods

BioBERT: a pre-trained biomedical language representation model for biomedical text mining

Jinhyuk Lee et al.

BIOINFORMATICS (2020)

Article Computer Science, Information Systems

A tree-based neural network model for biomedical event trigger detection

Hao Fei et al.

INFORMATION SCIENCES (2020)

Article Biochemical Research Methods

LSTM-Based End-to-End Framework for Biomedical Event Extraction

Xinyi Yu et al.

IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2020)

Article Multidisciplinary Sciences

An Optimized Abstractive Text Summarization Model Using Peephole Convolutional LSTM

Md Motiur Rahman et al.

SYMMETRY-BASEL (2019)

Article Biochemical Research Methods

A Two-Stage Biomedical Event Trigger Detection Method Integrating Feature Selection and Word Embeddings

Xinyu He et al.

IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2018)

Article Computer Science, Artificial Intelligence

LSTM: A Search Space Odyssey

Klaus Greff et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2017)

Article Biochemical Research Methods

Event extraction across multiple levels of biological organization

Sampo Pyysalo et al.

BIOINFORMATICS (2012)

Article Mathematical & Computational Biology

EVENT EXTRACTION WITH COMPLEX EVENT CLASSIFICATION USING RICH FEATURES

MAKOTO MIWA et al.

Journal of Bioinformatics and Computational Biology (2010)