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Dataset . 2023
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Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
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Contractual Events in Court Decisions Dataset

Authors: Paulino-Passos, Guilherme; Satoh, Ken; Toni, Francesca;

Contractual Events in Court Decisions Dataset

Abstract

Guilherme Paulino-Passos would like to thank the National Institute of Informatics, Tokyo, Japan, for supporting his visit to Japan that made this work possible, as well as Capes (Brazil, Ph.D. Scholarship 88881.174481/2018-01). Francesca Toni also acknowledges support from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No.101020934, ADIX), as well as support from J.P. Morgan and the Royal Academy of Engineering, UK, under the Research Chairs and Senior Research Fellowships scheme. Ken Satoh acknowledges support by JSPS KAKENHI Grant Number, JP22H00543 and JST, AIP Trilateral AI Research, Grant Number JPMJCR20G4.

A dataset for the task of information extraction, in particular event extraction, in court decisions, focusing on contracts. Our dataset captures contractual relations and events that affect them in some way, such as negotiations preceding a (possible) contract, the execution of a contract, or its termination.

{"references": ["Paulino-Passos, Guilherme et al. (2023). A Dataset of Contractual Events in Court Decisions. Logic Programming and Legal Reasoning workshop at ICLP 2023."]}

Keywords

event extraction, human annotation, AI and Law, contract law, information extraction, natural language processing

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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