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An overview of event extraction and its applications
[article]
2021
arXiv
pre-print
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As a particular form of Information Extraction (IE), Event Extraction (EE) has gained increasing popularity due to its ability to automatically extract events from human language. ...
This study provides a comprehensive overview of the state-of-the-art event extraction methods and their applications from text, including closed-domain and open-domain event extraction. ...
[7] propose a novel end-to-end document-level event extraction framework from Chinese financial announcements. In the social media field, Ritter et al. [8] , Zhou et al. ...
arXiv:2111.03212v1
fatcat:o3oagnjrybh3vapvvp7twgjtuu
Biomedical Event Extraction with Hierarchical Knowledge Graphs
[article]
2020
arXiv
pre-print
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Biomedical event extraction is critical in understanding biomolecular interactions described in scientific corpus. ...
The grounded graphs are then propagated by GEANet, a novel graph neural networks for enhanced capabilities in inferring complex events. ...
Acknowledgements We thank Rujun Han for helpful advice during the development of our model. We also appreciate insightful feedback from PLUSLab members, and the anonymous reviewers. ...
arXiv:2009.09335v3
fatcat:iuyb56pdejfmni77srz3c5osu4
Learning for Biomedical Information Extraction: Methodological Review of Recent Advances
[article]
2016
arXiv
pre-print
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In addition, we dive into open information extraction and deep learning, two emerging and influential techniques and envision next generation of BioIE. ...
Biomedical information extraction (BioIE) is important to many applications, including clinical decision support, integrative biology, and pharmacovigilance, and therefore it has been an active research ...
[63] showed a novel framework for biomedical event trigger identification, where word embedding features were combined with syntactic and semantic contextual features using MKL method, achieving the ...
arXiv:1606.07993v1
fatcat:7d5om7zxxzhoviiriasrfwg3xi
A Survey on Event Extraction for Natural Language Understanding: Riding the Biomedical Literature Wave
2021
IEEE Access
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Results: This paper provides a comprehensive and up-to-date survey on the link between event extraction and natural language understanding, focusing on the biomedical domain. ...
INDEX TERMS Biomedical text mining, event extraction, natural language understanding, semantic parsing. ...
G.M. and A.C. supervised all steps of the work and revised each section. ...
doi:10.1109/access.2021.3130956
fatcat:wlr7zeikdva77ojuppqx3vmocy
A Survey of Information Extraction Based on Deep Learning
2022
Applied Sciences
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At the level of IE tasks, it is expounded from entity relationship extraction, event extraction, and multi-modal information extraction three aspects, and creates a comparative analysis of various extraction ...
It is believed that research can be carried out in the direction of multi-model and multi-task joint extraction, information extraction based on knowledge enhancement, and information fusion based on multi-modal ...
Document-level relationship extraction in biomedical fields. ...
doi:10.3390/app12199691
fatcat:jmoum63qhvfstcsufkyf3hqpe4
Event Extraction: A Survey
[article]
2022
arXiv
pre-print
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As one of the most important topics in natural language processing and natural language understanding, the applications of event extraction spans across a wide range of domains such as newswire, biomedical ...
This report presents a comprehensive survey for event detection from textual documents. ...
Their model performs DEE in two stages. First, a sequence tagging model extracts events at the sentence level in every sentence of the document. ...
arXiv:2210.03419v2
fatcat:tji5jgstufdwhhczkmrvef45ai
Event Extraction from Biomedical Literature
[article]
2015
bioRxiv
pre-print
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NLP approaches to the automatic extraction of biomedical entities and relationships may assist the development of explanatory models that can comprehensively scan and summarize biomedical articles for ...
The breadth and scope of the biomedical literature hinders a timely and thorough comprehension of its content. ...
BioSem is a symbolic event extraction model that has two phases: a learning phase and an extraction phase [59] . ...
doi:10.1101/034397
fatcat:uq5y7yop2nhyfg4ijjy34mwd6e
A neural joint model for entity and relation extraction from biomedical text
2017
BMC Bioinformatics
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Therefore, we propose a neural joint model to extract biomedical entities as well as their relations simultaneously, and it can alleviate the problems above. ...
Results: Our model was evaluated on two tasks, i.e., the task of extracting adverse drug events between drug and disease entities, and the task of extracting resident relations between bacteria and location ...
The funding bodies did not play any role in the design of the study, data collection and analysis, or preparation of the manuscript. ...
doi:10.1186/s12859-017-1609-9
pmid:28359255
pmcid:PMC5374588
fatcat:3tsz7w2kf5dcxgbrqhktiromgu
A transfer learning model with multi-source domains for biomedical event trigger extraction
2021
BMC Genomics
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Background Automatic extraction of biomedical events from literature, that allows for faster update of the latest discoveries automatically, is a heated research topic now. ...
Trigger word recognition is a critical step in the process of event extraction. Its performance directly influences the results of the event extraction. ...
Joint-GATE-Document model is the proposed model that jointly trains document-level latent topics, obtained through a designed document-level neural topic model (NTM), and trigger detection. ...
doi:10.1186/s12864-020-07315-1
pmid:33413073
fatcat:ipr7l2s4tfbx5l4pfjajrm7hja
Combining joint models for biomedical event extraction
2012
BMC Bioinformatics
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We explore techniques for performing model combination between the UMass and Stanford biomedical event extraction systems. ...
Conclusion: We present a state-of-the-art event extraction system that relies on the strengths of structured prediction and model combination through stacking. ...
We see a snippet of text from a biomedical abstract and the three events that can be extracted from it. ...
doi:10.1186/1471-2105-13-s11-s9
pmid:22759463
pmcid:PMC3395172
fatcat:2vjalokrtfeuxh7wpya6oyvyue
Joint Event Extraction via Structured Prediction with Global Features
2013
Annual Meeting of the Association for Computational Linguistics
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By contrast, we propose a joint framework based on structured prediction which extracts triggers and arguments together so that the local predictions can be mutually improved. ...
Our approach advances state-ofthe-art sentence-level event extraction, and even outperforms previous argument labeling methods which use external knowledge from other sentences and documents. ...
We propose a novel joint event extraction algorithm to predict the triggers and arguments simultaneously, and use the structured perceptron (Collins, 2002) to train the joint model. ...
dblp:conf/acl/LiJH13
fatcat:a6efn7xt5nak3ba54vido7duau
Biomedical Event Extraction by Multi-class Classification of Pairs of Text Entities
2013
Workshop on Biomedical Natural Language Processing
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This paper describes the HDS4NLP entry to the BioNLP 2013 shared task on biomedical event extraction. ...
This system is based on a pairwise model that transforms trigger classification in a simple multi-class problem in place of the usual multi-label problem. ...
Acknowledgments This work was carried out in the framework of the Labex MS2T (ANR-11-IDEX-0004-02), and funded by the French National Agency for Research (EVEREST-12-JS02-005-01). ...
dblp:conf/bionlp/LiuBG13
fatcat:u2sa2ifglrgkthu6ntfbavwqfu
Document-Level N-ary Relation Extraction with Multiscale Representation Learning
2019
Proceedings of the 2019 Conference of the North
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In this paper, we propose a novel multiscale neural architecture for documentlevel n-ary relation extraction. ...
Moreover, by integrating weak signals across the document, multiscale modeling increases precision, even in the presence of noisy labels from distant supervision. ...
Figure 1 : Two examples of drug-gene-mutation relations from a biomedical journal paper. ...
doi:10.18653/v1/n19-1370
dblp:conf/naacl/JiaWP19
fatcat:riqvykgcezdsxe7iftillvxlhy
Generalizing an Approximate Subgraph Matching-based System to Extract Events in Molecular Biology and Cancer Genetics
2013
Workshop on Biomedical Natural Language Processing
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Our event extraction is based on the system we recently proposed for mining relations and events involving genes or proteins in the biomedical literature using a novel, approximate subgraph matching-based ...
within the framework of our system. ...
Acknowledgments This research was supported by the Intramural Research Program of the NIH, NLM. ...
dblp:conf/bionlp/LiuVCMW13
fatcat:aujmrrxu2zaydmyppttborzj7a
Multi-Event Extraction Guided by Global Constraints
2012
North American Chapter of the Association for Computational Linguistics
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This paper addresses the extraction of event records from documents that describe multiple events. ...
Specifically, we aim to identify the fields of information contained in a document and aggregate together those fields that describe the same event. ...
Any opinions, findings and conclusions expressed in the material are those of the author(s) and do not necessarily reflect the views of DARPA, AFRL or the US government. ...
dblp:conf/naacl/ReichartB12
fatcat:vhmnzowucredna764hp4p5zf6q
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