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Japanese Legal Term Correction using Random Forest

Takahiro Yamakoshi, Yasuhiro Ogawa, Takahiro Komamizu, Katsuhiko Toyama
2020 Transactions of the Japanese society for artificial intelligence  
Next, we describe a legal term correction method for Japanese statutory sentences. Our method predicts suitable legal terms using Random Forest classifiers.  ...  We propose a method that assists legislation drafters in finding inappropriate use of Japanese legal terms and their corrections from Japanese statutory sentences.  ...  keywords: Japanese legal term, legal term correction, random forest Summary We propose a method that assists legislation drafters in finding inappropriate use of Japanese legal terms and their corrections  ... 
doi:10.1527/tjsai.h-j53 fatcat:lfpaxsx3t5akjjnjljmnopcfxe

Japanese Mistakable Legal Term Correction using Infrequency-aware BERT Classifier

2020 Transactions of the Japanese society for artificial intelligence  
We propose a method to assist legislative drafters that locates inappropriate legal terms in Japanese statutory sentences and suggests corrections.  ...  Our experiments show that our classifier outperforms conventional classifiers using Random Forest or language models, and that all three training techniques improve performance.  ...  [Yamakoshi 18 ] prepared a Random Forest classifier for each legal term set T so that they use the specialized scoring function score RF T for the legal term t ∈ T .  ... 
doi:10.1527/tjsai.e-k25 fatcat:v3nt46jntvhtpdotad6cdej7q4

New Dataset for Forecasting Realized Volatility: Is the Tokyo Stock Exchange Co-Location Dataset Helpful for Expansion of the Heterogeneous Autoregressive Model in the Japanese Stock Market?

Takuo Higashide, Katsuyuki Tanaka, Takuji Kinkyo, Shigeyuki Hamori
2021 Journal of Risk and Financial Management  
This study expands the HAR model using the TSE Co-Location dataset, stock full-board dataset and market volume dataset based on the random forest method, which is a popular machine learning algorithm and  ...  To the best of our knowledge, this study is the first to use the TSE co-location dataset.  ...  based on the random forest method.  ... 
doi:10.3390/jrfm14050215 fatcat:p6gt3co3sbbvfdlngwzsdqw4pm

Translating Legal Sentence by Segmentation and Rule Selection

Bui Thanh Hung, Nguyen Le Minh, Akira Shimazu
2013 International Journal on Natural Language Computing  
We use a method which divides a English legal sentence based on its logical structure to segment the legal sentence.  ...  We obtain improvements in performance for legal translation from English to Japanese over Moses and Moses-chart systems.  ...  ., [1] used Conditional Random Fields (CRFs) to recognize the logical structure of a Japanese legal sentence.  ... 
doi:10.5121/ijnlc.2013.2403 fatcat:vsyauisg6jhc5cghpf77dwzne4

Distribution and habitat preferences of Eurasian woodcock Scolopax rusticola in S. Miguel island (Azores) during the breeding season

Ana Luísa Machado, José Carlos Brito, Vasco Medeiros, Manuel Leitão, Carla Moutinho, André Jesus, Yves Ferrand, David Gonçalves
2008 Wildlife Biology  
1 (2008) Downloaded From: https://bioone.org/journals/Wildlife-Biology on 15 Feb 2020 Terms of Use: https://bioone.org/terms-of-use  ...  © WILDLIFEBIOLOGY · 14:1 (2008) Downloaded From: https://bioone.org/journals/Wildlife-Biology on 15 Feb 2020 Terms of Use: https://bioone.org/terms-of-use © WILDLIFE BIOLOGY · 14:  ... 
doi:10.2981/0909-6396(2008)14[129:dahpoe]2.0.co;2 fatcat:qszk6whg4bhh3oajxif2wc2onq

Artificial Intelligence Models for Crime Prediction in Urban Spaces

Ana Laura Lira Cortes, Carlos Fuentes Silva
2020 Machine Learning and Applications An International Journal  
This work presents research based on evidence with neural networks for the development of predictive crime models, finding the data sets used are focused on historical crime data, crime classification,  ...  It is also observed in this review, that in the field of justice, systems based on intelligent technologies have been incorporated, to carry out activities such as legal advice, prediction and decisionmaking  ...  Random Forest 5. Logistic Regression 6. Support Vector Machine 7.  ... 
doi:10.5121/mlaij.2021.8101 fatcat:cgrea5k5nrhgfkfjdj46hfaqwe

Artificial Intelligence Models for Crime Prediction in Urban Spaces

Ana Laura Lira Cortes
2021 Zenodo  
This work presents research based on evidence with neural networks for the development of predictive crime models, finding the data sets used are focused on historical crime data, crime classification,  ...  It is also observed in this review, that in the field of justice, systems based on intelligent technologies have been incorporated, to carry out activities such as legal advice, prediction and decisionmaking  ...  Random Forest 5. Logistic Regression 6. Support Vector Machine 7.  ... 
doi:10.5281/zenodo.4672091 fatcat:ni2rqjxixvhfzi74eji22waxey

Feature based Entailment Recognition for Malayalam Language Texts

Sara Renjit, Sumam Mary Idicula
2022 International Journal of Advanced Computer Science and Applications  
A performance-based analysis using machine learning classification techniques such as Logistic Regression, Decision Tree, Support Vector Machine, Random Forest, AdaBoost, and Naive Bayes is done for the  ...  Different lexical and surface-level features are used for this binary and multiclass classification.  ...  in legal texts [14] .  ... 
doi:10.14569/ijacsa.2022.0130283 fatcat:3mugz2kpebepllwiryiyrouufm

Mapping major land cover types and retrieving the age of secondary forests in the Brazilian Amazon by combining single-date optical and radar remote sensing data

João M.B. Carreiras, Joshua Jones, Richard M. Lucas, Yosio E. Shimabukuro
2017 Remote Sensing of Environment  
A machine learning algorithm (random forests) was used in combination with ALOS PALSAR backscatter intensity at HH and HV polarizations and Landsat 5 TM surface reflectance in the visible, near-infrared  ...  On average, unbiased ASF estimates can be obtained using the method proposed here (Wilcoxon test, p-value N 0.05).  ...  We are also deeply acknowledged to the valuable comments from two anonymous reviewers who led us to improve the analysis presented here.  ... 
doi:10.1016/j.rse.2017.03.016 fatcat:hacb46brjnbkfakdr23t7br5du

A Systematic Review of Machine Learning Algorithms in Cyberbullying Detection: Future Directions and Challenges

Muhammad Arif
2021 Journal of Information Security and Cybercrimes Research  
Detecting cyberbullying using machine learning and natural language processing algorithms is getting the attention of researchers.  ...  Various ensemble classifiers, including random forest, bagging, boosting, and logistic regression, are used. Random forest performed best with AUC equals to 0.983. Agarwal et al.  ...  Different base classifiers can be used in the random forest classifier [108, 109] . Random forest classifier is successfully applied in many practical applications [110] [111] [112] .  ... 
doi:10.26735/gbtv9013 fatcat:jttkjrbsqndytlmr4yqoik23j4

Total Historical Land-Use Change in Eastern Bolivia: Who, Where, When, and How Much?

Timothy J. Killeen, Anna Guerra, Miki Calzada, Lisette Correa, Veronica Calderon, Liliana Soria, Belem Quezada, Marc K. Steininger
2008 Ecology and Society  
ranching groups, and the forest products sector.  ...  We included all landcover types located below the natural montane tree line (~3000 m), including forest, savanna, scrubland, seasonal wetland, second-growth forest, pasture, and cropland.  ...  Coca has been legally Fig. 5. Land-use intensity for six social and economic groups as determined from a random sample of video images captured during a validation flight.  ... 
doi:10.5751/es-02453-130136 fatcat:a4ac7goxnbegvbtkah7wijgcme

Not avian but mammalian scavengers efficiently consume carcasses under heavy snowfall conditions: a case from northern Japan

Hiroto Enari, Haruka S. Enari
2021 Mammalian Biology  
We measured the visits of scavengers using camera traps between 2010 and 2020. The total scavenger richness observed was relatively low (only 12 species) compared to warmer biomes.  ...  We also thank Marcus Clauss and the anonymous reviewers for providing useful suggestions to improve our manuscript. All research reported in this paper adhered strictly to the current laws of Japan.  ...  For carcasses of wild origin, we used roadkill or legally culled animals. We placed each carcass on the mosaic forests, described above, during midwinter with heavy snowfall from 2010 to 2020.  ... 
doi:10.1007/s42991-020-00097-9 fatcat:ktbht2szmjd57ag6trasm4y7ya

A Mechanistic Approach to Evaluation of Umbrella Species as Conservation Surrogates

KENICHI OZAKI, MASAHIRO ISONO, TAKAYUKI KAWAHARA, SHIGEO IIDA, TAKUMA KUDO, KENJI FUKUYAMA
2006 Conservation Biology  
We surveyed the species diversity of birds, butterflies, carabids, and forest-floor plants in forest sites across an area (1600 km 2 ) in which we delineated large breeding home ranges of Northern Goshawk  ...  Although species with large area requirements are sometimes used as umbrella species, their general utility as conservation tools is uncertain.  ...  Sakai for permission and assistance in analyzing the land-use map. Funding was provided by a grant from the Japan Ministry of the Environment.  ... 
doi:10.1111/j.1523-1739.2006.00444.x pmid:17002768 fatcat:ghgcqvtq6bdkjdxoqkgywklk6y

Modeling the Spatial Distribution of Soil Heavy Metals Using Random Forest Model—A Case Study of Nairobi and Thirirka Rivers' Confluence

Evans Omondi, Mark Boitt
2020 Journal of Geographic Information System  
The model was generated using the Random Forest package in R. Using R 2 to assess the prediction accuracy, the Random Forest model generated satisfactory results for all the elements.  ...  The Random Forest model performed satisfactorily.  ...  The image classification was done using the Random Forest package in R version 3.6.1 software.  ... 
doi:10.4236/jgis.2020.126035 fatcat:2fhuureqvjci5gfn6sdeksvcje

A Machine-Based Prediction Model of ADHD Using CPT Data

Ortal Slobodin, Inbal Yahav, Itai Berger
2020 Frontiers in Human Neuroscience  
We used the MOXO-CPT version that included visual and auditory stimuli distractors.  ...  Results showed that the ML proposed model performed better and had a higher accuracy than the benchmark approach that used clinical data only.  ...  Table 2 presents the random forest feature importance. In the current study, we used the accuracy-based importance as a measure of variable importance in the random forest.  ... 
doi:10.3389/fnhum.2020.560021 pmid:33093829 pmcid:PMC7528635 fatcat:fjd3ygdi25gwjkzx3i7k2mcl2y
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