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CJRC: A Reliable Human-Annotated Benchmark DataSet for Chinese Judicial Reading Comprehension [chapter]

Xingyi Duan, Baoxin Wang, Ziyue Wang, Wentao Ma, Yiming Cui, Dayong Wu, Shijin Wang, Ting Liu, Tianxiang Huo, Zhen Hu, Heng Wang, Zhiyuan Liu
2019 Lecture Notes in Computer Science  
By contrast, machine reading comprehension technology can quickly extract elements by answering various questions from the long document. We build two strong baseline models based on BERT and BiDAF.  ...  The CJRC dataset can help researchers extract elements by reading comprehension technology. Element extraction is an important task in the legal field.  ...  Integrating Machine reading comprehension with Information extraction or information retrieval would produce great practical value.  ... 
doi:10.1007/978-3-030-32381-3_36 fatcat:jsyu36ricnggzlkddermwnqwru

Automatic Judgment Prediction via Legal Reading Comprehension [article]

Shangbang Long, Cunchao Tu, Zhiyuan Liu, Maosong Sun
2018 arXiv   pre-print
To address this issue, we formalize the task as Legal Reading Comprehension according to the legal scenario.  ...  Automatic judgment prediction aims to predict the judicial results based on case materials.  ...  Inspired by the advantage of reading comprehension models on modeling multiple inputs, we apply this idea into the legal area and propose legal reading comprehension for judgment prediction.  ... 
arXiv:1809.06537v1 fatcat:pcbyndakqnehxnvqjws3vavk2u

A systematic literature review of machine learning methods in predicting court decisions

Nur Aqilah Khadijah Rosili, Rohayanti Hassan, Noor Hidayah Zakaria, Shahreen Kasim, Farid Zamani Che Rose, Tole Sutikno
2021 IAES International Journal of Artificial Intelligence (IJ-AI)  
Nevertheless, improvements can be made on the types of judicial decisions predicted using the existing machine learning methods.</span>  ...  According to the SLR's outcomes, various machine learning methods can be used in predicting court decisions.  ...  to Predict Decisions of the ECHR Masha Medvedeva et 2019 al S14 Predicting Outcomes of Legal Cases Based on Legal Factors Using Classifier Rafe Athar Sheikh et al 2019 S15 Predicting Disengagement from  ... 
doi:10.11591/ijai.v10.i4.pp1091-1102 fatcat:csoflg4pzzf65jgxvds42hkzh4

Semantic Analysis of Contractual Agreements to Support End-User Interpretation

Najmeh Mousavi Nejad
2018 International Conference Knowledge Engineering and Knowledge Management  
Our approach is based on ontology-based information extraction and machine learning and delivers the unpleasant consent form in a user friendly and visualized format.  ...  By applying text mining and semantic technologies, we develop an approach that extracts important information and retrieves helpful links and resources for the better comprehension.  ...  Based on this assumption, we apply OBIE for extracting pre-defined classes of information.  ... 
dblp:conf/ekaw/Nejad18 fatcat:zj2o4y25qrgctgmjt4ilnumnoq

Improving Machine Reading Comprehension with Multi-Task Learning and Self-Training

Jianquan Ouyang, Mengen Fu
2022 Mathematics  
Machine Reading Comprehension (MRC) is an AI challenge that requires machines to determine the correct answer to a question based on a given passage, in which extractive MRC requires extracting an answer  ...  Therefore, to meet the comprehensive requirements in such application situations, we construct a multi-task fusion training reading comprehension model based on the BERT pre-training model.  ...  training reading comprehension model based on the BERT pre-training model.  ... 
doi:10.3390/math10030310 fatcat:4gc3cwac5bd3tck57pnicdbfse

ReCO: A Large Scale Chinese Reading Comprehension Dataset on Opinion

Bingning Wang, Ting Yao, Qi Zhang, Jingfang Xu, Xiaochuan Wang
2020 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
, indicating ReCO present a good challenge for machine reading comprehension.  ...  This paper presents the ReCO, a human-curated Chinese Reading Comprehension dataset on Opinion. The questions in ReCO are opinion based queries issued to commercial search engine.  ...  Introduction Machine reading comprehension (MRC), the ability to read the text and answer questions, has become one of the mainstreams in current natural language understanding (NLU) researches.  ... 
doi:10.1609/aaai.v34i05.6450 fatcat:ogdwmpjmuvex3lhxgwqibsxohy

ReCO: A Large Scale Chinese Reading Comprehension Dataset on Opinion [article]

BingningWang, Ting Yao, Qi Zhang, Jingfang Xu, Xiaochuan Wang
2020 arXiv   pre-print
presents a good challenge for machine reading comprehension.  ...  This paper presents the ReCO, a human-curated ChineseReading Comprehension dataset on Opinion. The questions in ReCO are opinion based queries issued to the commercial search engine.  ...  Introduction Machine reading comprehension (MRC), the ability to read the text and answer questions, has become one of the mainstreams in current natural language understanding (NLU) researches.  ... 
arXiv:2006.12146v1 fatcat:vjhapkek2rgqrmtsujdb4wpvtu

Book ReviewThe Oxford Handbook of Computational Linguistics Ruslan Mitkov (editor) (University of Wolverhampton) Oxford: Oxford University Press, 2003, xx+784 pp; hardbound, ISBN 0-19-823882-7, £76.00, $150.00

Peter Jackson
2004 Computational Linguistics  
Machine translation is accorded two chapters, one that discusses the earlier, rule- based approaches and one that deals with more recent, empirical approaches based on parallel corpora.  ...  When one combines the newer corpus-based approaches with continued advances in algorithms and representations in other areas, and then factors in annual increases in computing power and storage capability  ... 
doi:10.1162/089120104773633411 fatcat:4lkuwbk3q5hdvhqkd264564e2q

Multi-Task Deep Learning for Legal Document Translation, Summarization and Multi-Label Classification [article]

Ahmed Elnaggar, Christoph Gebendorfer, Ingo Glaser, Florian Matthes
2018 arXiv   pre-print
The experiments were conducted on legal document corpora utilizing several task combinations as well as various model parameters.  ...  The digitalization of the legal domain has been ongoing for a couple of years. In that process, the application of different machine learning (ML) techniques is crucial.  ...  In many areas, it was able to out-perform humans including, image classification [1] , health [2] and reading comprehension [3] .  ... 
arXiv:1810.07513v1 fatcat:qdjmv6mwtvhdfn4thpjgwoxrhq

Automatic processing of handwritten bank cheque images: a survey

R. Jayadevan, S. R. Kolhe, P. M. Patil, U. Pal
2011 International Journal on Document Analysis and Recognition  
In such a manual verification, user written information including date, signature, legal and courtesy amounts present on each cheque has to be visually verified.  ...  It discusses the important results reported so far in preprocessing, extraction, recognition and verification of handwritten fields on bank cheques and highlights the positive directions of research till  ...  The filled-in items are then extracted using their colour characteristics. An extraction method based on support vector machines (SVM) is proposed in [62] for Chinese bank cheques.  ... 
doi:10.1007/s10032-011-0170-8 fatcat:kmrv6tqtbzbolks7pwmg3juqeu

Transformers for Classifying Fourth Amendment Elements and Factors Tests [chapter]

Evan Gretok, David Langerman, Wesley M. Oliver
2020 Frontiers in Artificial Intelligence and Applications  
Determining the type of test that governs an issue is essential to answering a legal question.  ...  Transformers attain up to 92.31% accuracy on full texts, further demonstrating the capability of NLP techniques on domain-specific tasks even without handcrafted features.  ...  This research began in satisfaction of a course project for the University of Pittsburgh School of Law's LAW 5719 Applied Legal Data Analytics and AI course taught by Dr. Kevin Ashley and Dr.  ... 
doi:10.3233/faia200850 fatcat:4ayrbjok6rfwhdmo6zqe4i3ndi

Machine Learning Approaches along the Radiology Value Chain - Rethinking Value Propositions

Peter Hofmann, Severin Oesterle, Paul Rust, Nils Urbach
2019 European Conference on Information Systems  
Our findings shed light on the strategic positioning of radiology businesses, contributing to academic discourse and practical decision-making.  ...  ., lack of data, weak labelling, and generalisation), legal (i.e., regulatory approval and privacy laws), and persuasive (i.e., radiologists' resistance and patients' distrust).  ...  Based on the findings of the literature review and expert interviews, we classify these into technical, legal, and persuasion challenges as illustrated in Figure 3 .  ... 
dblp:conf/ecis/HofmannORU19 fatcat:ipig5nrwvrcubcweo3miayjwem

A Law School Course in Applied Legal Analytics and AI

Kevin Ashley, Jaromir Savelka, Matthias Grabmair
2021 Law in context (Bundoora, Vic.)  
The course provides a hands-on practical introduction to applying ML and NLP to extract information from legal text data, the ways text analytics have been applied to support the work of legal professionals  ...  The article introduces the new text analytic techniques and briefly surveys law schools' current efforts to incorporate instruction on computer programming and machine learning in legal education.  ...  So far, only the factor-based representation seems likely to be able to be extracted automatically from case texts.  ... 
doi:10.26826/law-in-context.v37i1.125 fatcat:hogoo644pbfkhdbd5sjubqcckq

Automatic Text Summarization Methods: A Comprehensive Review [article]

Divakar Yadav, Jalpa Desai, Arun Kumar Yadav
2022 arXiv   pre-print
The most commonly accepted approaches are extractive and abstractive, studied in detail in this work.  ...  Simplifying the relevant information in the form of a summary will assist many people because the material on any topic is plentiful on the Internet.  ...  The current version supports both extractive and abstractive summarization, though the original version was created for machine-reading and comprehension and abstractive question answering.  ... 
arXiv:2204.01849v1 fatcat:32gii27irfcl3hyfjoyvzszygy

Human Resources Competency in the Era of Industrial Revolution 4.0

Damayanti Damayanti
2021 Economics and Business Solutions Journal  
The PESTEL framework is the basis for considering political, economic, social, technical, environmental and legal factors to analyze challenges in the era of the industrial revolution 4.0.  ...  The development of thematic studies in various disciplines is linked to the real world, project-based learning, through general education (extra-curricular) programs, and internships/practical work and  ...  This model is compiled from the results of document extraction from various studies and the results of interviews with experts. As shown in figure 3, this model is composed of three main layers.  ... 
doi:10.26623/ebsj.v5i1.3334 fatcat:rtil2njr3vfbbnw42r4pzsswq4
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