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Learning Fine-grained Fact-Article Correspondence in Legal Cases [article]

Jidong Ge, Yunyun huang, Xiaoyu Shen, Chuanyi Li, Wei Hu
2021 arXiv   pre-print
We believe that learning fine-grained correspondence between each single fact and law articles is crucial for an accurate and trustworthy AI system.  ...  Furthermore, we compare with previous researches and find that establishing the fine-grained fact-article correspondences can improve the recommendation accuracy by a large margin.  ...  current researches only support coarse-grained recommendation Learning Fine-grained Fact-Article Correspondence in Legal Cases.  ... 
arXiv:2104.10726v3 fatcat:o2ht6u6bifezffvy6nbkxyctrm

Fine-grained Intent Classification in the Legal Domain [article]

Ankan Mullick, Abhilash Nandy, Manav Nitin Kapadnis, Sohan Patnaik, R Raghav
2022 arXiv   pre-print
To understand the motivation behind the actions of different parties/individuals in a legal case, it is essential that the parts of the document that express an intent corresponding to the case be clearly  ...  one of the possible 4 categories, and observe that, our dataset is challenging, especially in the case of fine-grained intent classification.  ...  in the fine-grained intent classification case.  ... 
arXiv:2205.03509v1 fatcat:tynk7hugqbffpbtl73kn7kwvim

Semantic Segmentation of Legal Documents via Rhetorical Roles [article]

Vijit Malik and Rishabh Sanjay and Shouvik Kumar Guha and Shubham Kumar Nigam and Angshuman Hazarika and Arnab Bhattacharya and Ashutosh Modi
2021 arXiv   pre-print
With the help of legal experts, we propose a set of 13 fine-grained rhetorical role labels and create a new corpus of legal documents annotated with the proposed RR.  ...  In particular, we develop a multitask learning-based deep learning model with document rhetorical role label shift as an auxiliary task for segmenting a legal document.  ...  In addition to Fact, we also have the fine-grained label Issues (ISS).  ... 
arXiv:2112.01836v1 fatcat:gynykdhduvb47lbvrnhvsa67da

Fine-Grained Named Entity Recognition in Legal Documents [chapter]

Elena Leitner, Georg Rehm, Julian Moreno-Schneider
2019 Lecture Notes in Computer Science  
The 19 fine-grained classes were automatically generalised to seven more coarse-grained classes (person, location, organization, legal norm, case-by-case regulation, court decision, and legal literature  ...  The CRF models reach a maximum of 93.23 for the fine-grained classes and 93.22 for the coarse-grained ones.  ...  This work was carried out under the umbrella of an internship of the first author at DFKI, which resulted in a Bachelor thesis at the University of Potsdam [24] .  ... 
doi:10.1007/978-3-030-33220-4_20 fatcat:kf4m2js6cnbcpjxvekkqgdggje

Automatic Judgment Prediction via Legal Reading Comprehension [article]

Shangbang Long, Cunchao Tu, Zhiyuan Liu, Maosong Sun
2018 arXiv   pre-print
Moreover, we propose a novel LRC model, AutoJudge, which captures the complex semantic interactions among facts, pleas, and laws. In experiments, we construct a real-world civil case dataset for LRC.  ...  Following the working protocol of human judges, LRC predicts the final judgment results based on three types of information, including fact description, plaintiffs' pleas, and law articles.  ...  , and only a small number of them contain fine-grained ones, which has limited information in themselves. (2) Unlike in criminal cases where the application of an article indicates the corresponding crime  ... 
arXiv:1809.06537v1 fatcat:pcbyndakqnehxnvqjws3vavk2u

LEVEN: A Large-Scale Chinese Legal Event Detection Dataset [article]

Feng Yao, Chaojun Xiao, Xiaozhi Wang, Zhiyuan Liu, Lei Hou, Cunchao Tu, Juanzi Li, Yun Liu, Weixing Shen, Maosong Sun
2022 arXiv   pre-print
Recognizing facts is the most fundamental step in making judgments, hence detecting events in the legal documents is important to legal case analysis tasks.  ...  Not only charge-related events, LEVEN also covers general events, which are critical for legal case understanding but neglected in existing LED datasets.  ...  Figure 1 : 1 Figure 1: An example legal document describing the fact with the annotated event triggers, the corresponding event types, the related law article, and penalties.  ... 
arXiv:2203.08556v1 fatcat:cl6y5wrub5h7rddrlz4k3lujby

Enhanced Genre Classification through Linguistically Fine-Grained POS Tags

Alex Chengyu Fang, Jing Cao
2010 Pacific Asia Conference on Language, Information and Computation  
In particular, this paper reports our research to investigate the performance of a fine-grained tag set when tested with the British component of the International Corpus of English.  ...  We propose the use of fine-grained part-of-speech (POS) tags as discriminatory attributes for automatic genre classification and report empirical results from an experiment that indicate substantial accuracy  ...  Considering data size, 10-fold cross validation was used to calculate the results. 3 Feature Sets Fine-Grained POS Tags (F-POS) We propose the use of linguistically fine-grained part-of-speech tags (  ... 
dblp:conf/paclic/FangC10 fatcat:7noouxxfajfotccl2fwhfdnfdu

A Survey on Legal Judgment Prediction: Datasets, Metrics, Models and Challenges [article]

Junyun Cui, Xiaoyu Shen, Feiping Nie, Zheng Wang, Jinglong Wang, Yulong Chen
2022 arXiv   pre-print
Legal judgment prediction (LJP) applies Natural Language Processing (NLP) techniques to predict judgment results based on fact descriptions automatically.  ...  We hope to facilitate both NLP researchers and legal professionals for further joint efforts in this problem.  ...  students(S202011560030), and in part by the Research Foundation of Xi'an University of Finance and Economics under Grant 18FCJH02.  ... 
arXiv:2204.04859v1 fatcat:gy75mpsh3ffj7b5b4tfoqfb444

Annotating Entities with Fine-Grained Types in Austrian Court Decisions [chapter]

Artem Revenko, Anna Breit, Victor Mireles, Julian Moreno-Schneider, Christian Sageder, Sotirios Karampatakis
2021 Applications and Practices in Ontology Design, Extraction, and Reasoning  
Next, a small sample of these annotations are manually inspected by domain experts to produce an initial fine-grained training data set.  ...  We investigate an approach to produce fine-grained named entity annotations of a large corpus of Austrian court decisions from a small manually annotated training data set.  ...  In particular, we address a realistic case of 1) having to cope with the choice of fine-grained types produced by domain experts and 2) small golden training data set.  ... 
doi:10.3233/ssw210041 fatcat:x7hwtkj6pzalllanqld5mcrjrm

Gov2Vec: Learning Distributed Representations of Institutions and Their Legal Text [article]

John J. Nay
2016 arXiv   pre-print
We also learn representations for more fine-grained word sources: individual Presidents and (2-year) Congresses.  ...  was implicitly learned from only text.  ...  We also learn more fine-grained institutional representations: individual Presidents and Congresses (2-year terms).  ... 
arXiv:1609.06616v2 fatcat:oqr4bib6erg7nhyjj7uldf4hty

Page 528 of The Lancet Vol. 2, Issue 3186 [page]

1884 The Lancet  
The fine distinction between qualifica- tions is rather a legal refinement than anything else.  ...  The fact that in the case of the younger brother the affection is not traceable to over-use of the muscles leads one to suspect that in the one case, if not in both cases, its origin may be spinal, and  ... 

Comprehensive Event Representations using Event Knowledge Graphs and Natural Language Processing

Tin Kuculo
2022 Companion Proceedings of the Web Conference 2022  
These event representations are then further enriched through fine-grained location extraction and contextualised through the alignment of historically relevant quotes.  ...  In the first, we address the extraction of fine-grained locations.  ...  The second view is that of fine-grained events found in text, often as sub-events in a bigger context.  ... 
doi:10.1145/3487553.3524199 fatcat:urhyhyhngnbnbpon3szxf2licu

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  
Element extraction is an important task in the legal field. However, it is difficult to predefine the element types completely due to the diversity of document types and causes of action.  ...  In view of the fact that the civil and criminal judgment documents greatly differ in the fact description, the corresponding types of questions are not the same.  ...  cases including relevant law articles, charges and prison terms.  ... 
doi:10.1007/978-3-030-32381-3_36 fatcat:jsyu36ricnggzlkddermwnqwru

Robust content creation with form-oriented user interfaces

Dirk Draheim, Christof Lutteroth, Gerald Weber
2005 Proceedings of the 6th ACM SIGCHI New Zealand chapter's international conference on Computer-human interaction making CHI natural - CHINZ '05  
In this paper we describe how content can be created in a way that ensures its integrity at all times, and how the user interface for such a content editing program can be modeled using the methodology  ...  In the case of fine-grained interaction, the submitted data needs not be consistent because it is not integrated into the general persistent data model.  ...  In the following two Sects. 4.1 and 4.2 we will discuss fine-grained and coarse-grained interaction in more detail.  ... 
doi:10.1145/1073943.1073953 dblp:conf/chinz/DraheimLW05 fatcat:yv7r7ya2ozhxljqmyzycdzlk2a

Protecting privacy while revealing data

Bernardo A. Huberman, Tad Hogg
2002 Nature Biotechnology  
There is an alternative to the familiar debate of privacy versus the public interest in access to medical data for epidemiological studies. It consists of  ...  The ability to collect and disseminate fine-grained data in the medical field has led to expressions of concern about privacy issues and to public reactions that in some cases have translated into laws  ...  Even with legal protections, citizens might anticipate that laws could change with time, as in the case of adoption rights, where today it is possible to obtain the identity of parents who gave children  ... 
doi:10.1038/nbt0402-332 pmid:11923827 fatcat:bhzgbe73kzhm7pol6vn7wfzcz4
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