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An Approach Based on Multilevel Convolution for Sentence-Level Element Extraction of Legal Text
2021
Wireless Communications and Mobile Computing
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In this paper, we propose a sentence-level model of legal text element extraction based on the structure of multilabel text classification. ...
To our best knowledge, it is one of the first attempts to apply a multilabel classification algorithm for element extraction of legal text. ...
The difference between legal text on the Chinese legal text and the general multilabel
and general text lies in the uncertainty of the number of text classification task
characters ...
doi:10.1155/2021/1043872
fatcat:tvqftw2d25dfxf6vt6v3sfsjf4
LegaLMFiT: Efficient Short Legal Text Classification with LSTM Language Model Pre-Training
[article]
2021
arXiv
pre-print
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performance on short legal text classification tasks. ...
Our findings, focusing on English language legal text, show that lightweight LSTM-based Language Models are able to capture enough information from a small legal text pretraining corpus and achieve excellent ...
Text Classification Tasks: We evaluate the model on four downstream legal text classification tasks. ...
arXiv:2109.00993v3
fatcat:qecs7jrpobacpp765pu3lh6h4e
Few-shot and Zero-shot Approaches to Legal Text Classification: A Case Study in the Financial Sector
2021
Zenodo
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The application of predictive coding techniques to legal texts has the potential to greatly reduce the cost of legal review of documents, however, there is such a wide array of legal tasks and continuously ...
we investigate few-shot and zero-shot approaches that require substantially less training data and introduce a triplet architecture, which for promissory statements produces performance close to that of ...
systems for legal texts.
of models. ...
doi:10.5281/zenodo.5772042
fatcat:sgkfcnqtmjainnvs3fyoqi4z2m
A Methodology based on Commonsense Knowledge and Ontologies for the Automatic Classification of Legal Cases
2014
Proceedings of the 4th International Conference on Web Intelligence, Mining and Semantics (WIMS14) - WIMS '14
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We describe a methodology for the automatic classification of legal cases expressed in natural language, which relies on existing legal ontologies and a commonsense knowledge base. ...
This methodology is founded on a process consisting of three phases: an enrichment of a given legal ontology by associating its terms with topics retrieved from the Wikipedia knowledge base; an extraction ...
Acknowledgments This work has been partially supported by the eJRM ("electronic Justice Relationship Management") project, co-funded by the Italian Ministry of Instruction and Research (ref.: PON01 01286 ...
doi:10.1145/2611040.2611048
dblp:conf/wims/CapuanoMST14
fatcat:zippuc6w7zco5o4xxgg2ftsnne
The Language of Legal and Illegal Activity on the Darknet
2019
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
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This paper tackles this gap and performs an in-depth investigation of the characteristics of legal and illegal text in the Darknet, comparing it to a clear net website with similar content as a control ...
The non-indexed parts of the Internet (the Darknet) have become a haven for both legal and illegal anonymous activity. ...
We thank Wesam Al Nabki, Eduardo Fidalgo, Enrique Alegre, and Ivan de Paz for sharing their dataset of Onion sites with us. ...
doi:10.18653/v1/p19-1419
dblp:conf/acl/ChoshenEHSA19
fatcat:bfcry3cvo5fd7pya4wmtpm45ay
Accounting for Sentence Position and Legal Domain Sentence Embedding in Learning to Classify Case Sentences
[chapter]
2021
Frontiers in Artificial Intelligence and Applications
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We also compare the legal domain specific sentence embedding with other general purpose sentence embeddings to gauge the effect of legal domain knowledge, captured during pre-training, on text classification ...
We deployed the models on both summaries and full-text decisions. We found that the sentence position information is especially useful for full-text sentence classification. ...
, on text classification. ...
doi:10.3233/faia210314
fatcat:b573ndi7x5hj3icyrouas4s2au
Comparing the Performance of NLP Toolkits and Evaluation measures in Legal Tech
[article]
2021
arXiv
pre-print
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Results show that XLNet Model performs better on our Sequence Classification task of Legal Opinions Classification, whereas BERT produces better results on the NER task. ...
Classification task. ...
gained by adding Legal vocabulary along with the additional pretraining on Legal text. ...
arXiv:2103.11792v1
fatcat:iivdeljmvzbwpnoxz4ycm7f7li
Probit Regressive Tversky Indexed Rocchio Convolutive Deep Neural Learning for Legal Document Data Analytics
2021
International Journal of Intelligent Systems and Applications in Engineering
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Legal documents data analytics is a very significant process in the field of computational law. ...
The experimental evaluation is carried out using different performance metrics such as accuracy, precision, recall, F-measure and computational time with respect to the number of legal documents collected ...
The association tasks performed by the dataset are a classification. The dataset characteristics are text. ...
doi:10.18201/ijisae.2021.238
fatcat:3hrxkr2tivh2tkx4ihughhmyoy
Multi-granular Legal Topic Classification on Greek Legislation
[article]
2021
arXiv
pre-print
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In this work, we study the task of classifying legal texts written in the Greek language. ...
To the best of our knowledge, this is the first time the task of Greek legal text classification is considered in an open research project, while also Greek is a language with very limited NLP resources ...
This work is also partly funded by the Innovation Fund Denmark (IFD) 17 under File No. 0175-00011A. ...
arXiv:2109.15298v1
fatcat:if3aiggauvcm5h7uh3h6sckfte
The Unreasonable Effectiveness of the Baseline: Discussing SVMs in Legal Text Classification
[chapter]
2021
Frontiers in Artificial Intelligence and Applications
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Recently, the focus for most legal text classification tasks has shifted towards large pre-trained deep learning models such as BERT. ...
We also highlight that error reduction obtained by using specialised BERT-based models over baselines is noticeably smaller in the legal domain when compared to general language tasks. ...
A common application of legal NLP is text classification. ...
doi:10.3233/faia210317
fatcat:344knwujxzeqtkyuzg2wohagsi
A Framework for Explainable Text Classification in Legal Document Review
[article]
2019
arXiv
pre-print
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When deployed with defined and explainable results, text classification can drastically enhance overall quality and speed of the review process by reducing the review time. ...
Recently, parties on both sides of the 'legal aisle' are accepting the use of machine learning techniques like text classification to cull massive volumes of data and to identify responsive documents for ...
Predictive coding is an application of text classification used to identify documents that fall within the scope of a legal matter. ...
arXiv:1912.09501v1
fatcat:v7kjpw5ylnerpldjpkb3vmtfie
The Language of Legal and Illegal Activity on the Darknet
[article]
2019
arXiv
pre-print
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2019 pre-print arXiv:1905.05543v1 fatcat:ikc42lah4nc33it3twnzmeq4hm
This paper tackles this gap and performs an in-depth investigation of the characteristics of legal and illegal text in the Darknet, comparing it to a clear net website with similar content as a control ...
The non-indexed parts of the Internet (the Darknet) have become a haven for both legal and illegal anonymous activity. ...
Conclusion In this paper we identified several distinguishing factors between legal and illegal texts, taking a variety of approaches, predictive (text classification), application-based (named entity ...
arXiv:1905.05543v2
fatcat:ysxevbc6rreirlfm5jeigjohi4
Text Mining of Supreme Administrative Court Jurisdictions
[chapter]
2008
Studies in Classification, Data Analysis, and Knowledge Organization
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The automated textual analysis of law corpora is highly valuable because of its impact on a company's legal options and the raw amount of available jurisdiction. ...
The findings are compared to results obtained by law experts. ...
Of course, ideally information such as senate size would be provided as metadata by the legal information system, perhaps even determined automatically by text mining methods for "most" documents (with ...
doi:10.1007/978-3-540-78246-9_67
fatcat:bllpmo3ibnaz5brf5ugbimlfji
Building a Production-Ready Multi-Label Classifier for Legal Documents with Digital-Twin-Distiller
2022
Applied Sciences
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This is a multi-label classification problem, where each relatively long text can fit into more than one legal category. ...
Categorization of legal documents by their subject matter can significantly increase the discoverability of digitalized court decisions. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/app12031470
fatcat:2gji5p3pfrhsvelv6mpdohkjea
Application of Image Segmentation Algorithm Based on Partial Differential Equation in Legal Case Text Classification
2021
Advances in Mathematical Physics
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The software architecture of image segmentation algorithm text classification system is proposed by using computer technology and three-layer architecture model, which can improve the classification ability ...
and quality of the legal case text classification are improved. ...
Text classification is a process of text classification by using computer technology, which mainly includes two classification methods based on statistics and rules. ...
doi:10.1155/2021/4062200
fatcat:3taga4lphnhwxetohptzi3xvci
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