Academic literature on the topic 'Verification and admission of claim'
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Journal articles on the topic "Verification and admission of claim":
Emeka, Anichebe Gregory. "Verification and Processing of Academic Certificates Using Web Services." PERSPEKTIF 13, no. 1 (January 30, 2024): 311–18. http://dx.doi.org/10.31289/perspektif.v13i1.10658.
Santoso, Budi, Julita Hendrartini, Bambang Udji Djoko Rianto, and Laksono Trisnantoro. "SYSTEM FOR DETECTION OF NATIONAL HEALTHCARE INSURANCE FRAUD BASED ON COMPUTER APPLICATION." Public Health of Indonesia 4, no. 2 (June 21, 2018): 46–56. http://dx.doi.org/10.36685/phi.v4i2.199.
Kapidžić-Duraković, Suada, Maida Zonić-Imamović, and Ahmet Mulaosmanović. "Family participation in determination of FIM and Barthel indices." Bosnian Journal of Basic Medical Sciences 6, no. 2 (May 20, 2008): 51–54. http://dx.doi.org/10.17305/bjbms.2006.3172.
Warren, David K., Katelin B. Nickel, Anna E. Wallace, Daniel Mines, Victoria J. Fraser, and Margaret A. Olsen. "Can Additional Information Be Obtained from Claims Data to Support Surgical Site Infection Diagnosis Codes?" Infection Control & Hospital Epidemiology 35, S3 (October 2014): S124—S132. http://dx.doi.org/10.1086/677830.
Heltiani, Nofri, Lolli Nababan, Lolli Nababan, and Liza Putri. "Completeness of Delivery and Accuracy of Delivery Diagnosis Code On The Smooth Verification of BPJS Claims in Hospital." Greenation International Journal of Tourism and Management 1, no. 3 (September 12, 2023): 276–85. http://dx.doi.org/10.38035/gijtm.v1i3.98.
Zeng, Xia, and Arkaitz Zubiaga. "Aggregating pairwise semantic differences for few-shot claim verification." PeerJ Computer Science 8 (October 25, 2022): e1137. http://dx.doi.org/10.7717/peerj-cs.1137.
Chen, Jiangjie, Qiaoben Bao, Changzhi Sun, Xinbo Zhang, Jiaze Chen, Hao Zhou, Yanghua Xiao, and Lei Li. "LOREN: Logic-Regularized Reasoning for Interpretable Fact Verification." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 10 (June 28, 2022): 10482–91. http://dx.doi.org/10.1609/aaai.v36i10.21291.
Hanisah, Hanisah, Asmaripa Ainy, and Iwan Stia Budi. "A Position Analysis of BPJS Claims Administration Officers and Verifiers (Case Study: Jambi Province Regional Mental Hospital)." Preventia : The Indonesian Journal of Public Health 8, no. 2 (December 30, 2023): 39. http://dx.doi.org/10.17977/um044v8i22023p39-46.
Wu, Lianwei, Yuan Rao, Ling Sun, and Wangbo He. "Evidence Inference Networks for Interpretable Claim Verification." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 16 (May 18, 2021): 14058–66. http://dx.doi.org/10.1609/aaai.v35i16.17655.
Erlanson, Albin, and Andreas Kleiner. "Costly verification in collective decisions." Theoretical Economics 15, no. 3 (2020): 923–54. http://dx.doi.org/10.3982/te3101.
Dissertations / Theses on the topic "Verification and admission of claim":
Karamolegkou, Antonia. "Argument Mining: Claim Annotation, Identification, Verification." Thesis, Uppsala universitet, Institutionen för lingvistik och filologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-448855.
Ligan, Mahoutin. "La déclaration de créances et le nouveau droit des entreprises en difficulté : Approche comparative Droit français/Droit OHADA." Electronic Thesis or Diss., Toulon, 2020. http://www.theses.fr/2020TOUL0136.
The declaration of claim is a compulsory procedure reserved for all creditors of a debtor who is the subject of collective proceedings. It has a mainly financial purpose and its objective is to ascertain the debtor's liabilities, and therefore to measure his indebtedness on the day of the opening judgment. This is justified by the fact that the new law on companies in difficulty, unlike the old bankruptcy, introduces a submission to the rigorous rules of collective discipline for all the creditors of the failing company. It goes without saying that the declaration of claims is of considerable benefit to the debtor in that it allows the court to assess (after the verification and admission of claims) the possible solutions for rescuing the failing company through the weight of its liabilities. Similarly, it makes it possible to maintain a certain equality between the company's creditors, who will ensure that their rights are recognised in order to safeguard their chance of participating in the collective procedure of their debtor. Its legal basis is specified by Articles L. 622-24 et seq. of the French Commercial Code and 78 et seq. of the Uniform Act Organising Collective Proceedings (AUPC).Thus, from the publication of the opening judgment, all creditors whose claims arose prior to the opening judgment and subsequent creditors excluded from the preferential treatment of Article L. 662-17 of the French Commercial Code, with the exception of employees, shall send a declaration of their claims to the judicial representative within two (2) months. Where the creditor has been relieved of foreclosure in accordance with Article L. 622-26 of the French Commercial Code, the time limits only run from the notification of this decision; they are then reduced by half. The time limit for filing a claim runs from the notification of this warning. Traditionally, a claim declaration was treated as a legal claim. Thus, until the Ordinance of 12 March 2014, a special written mandate was required for the validity of a declaration made by a person other than the debtor. Similarly, the agent then had to be able to provide proof of the mandate received until the day the judge ruled. In the new law on companies in difficulty, the declaration of claim is perceived as a simple conservatory act, insofar as it is, in certain respects, more akin to a formal notice or an administrative formality. We owe this reconsideration of the nature of the declaration of claim to the French order of 12 March 2014.This is to be welcomed insofar as this development contributes to improving the preservation of creditors' rights. Despite the close relationship between French and OHADA legislation, it must be noted that the OHADA legislator has not taken advantage of its recent reform of 10 September 2015 to simplify the procedure for declaring claims as was done in 2014 in France. While such a failure can be justified by the youth of the legislation in force in the OHADA zone, it is appropriate for the OHADA legislator to consider a change in this area. In our opinion, this could encourage the debtor to provide the bodies of the procedure with a complete list of his creditors and thus enable the latter to benefit from the same chances of being paid
Saeed, Mohammed. "Employing Transformers and Humans for Textual-Claim Verification." Electronic Thesis or Diss., Sorbonne université, 2022. https://theses.hal.science/tel-03922010.
Throughout the last years, there has been a surge in false news spreading across the public. Despite efforts made in alleviating "fake news", there remains a lot of ordeals when trying to build automated fact-checking systems, including the four we discuss in this thesis. First, it is not clear how to bridge the gap between input textual claims, which are to be verified, and structured data that is to be used for claim verification. We take a step in this direction by introducing Scrutinizer, a data-driven fact-checking system that translates textual claims to SQL queries, with the aid of a human-machine interaction component. Second, we enhance reasoning capabilities of pre-trained language models (PLMs) by introducing RuleBert, a PLM that is fine-tuned on data coming from logical rules. Third, PLMs store vast information; a key resource in fact-checking applications. Still, it is not clear how to efficiently access them. Several works try to address this limitation by searching for optimal prompts or relying on external data, but they do not put emphasis on the expected type of the output. For this, we propose Type Embeddings (TEs), additional input embeddings that encode the desired output type when querying PLMs. We discuss how to compute a TE, and provide several methods for analysis. We then show a boost in performance for the LAMA dataset and promising results for text detoxification. Finally, we analyze the BirdWatch program, a community-driven approach to fact-checking tweets. All in all, the work in this thesis aims at a better understanding of how machines and humans could aid in reinforcing and scaling manual fact-checking
Books on the topic "Verification and admission of claim":
Andrichenko, Lyudmila, Elena Gorenskaya, Aleksandr Emel'yanov, Aleksey Efremov, Sergey Zyryanov, Pavel Kabytov, Nikolay Kazancev, et al. Permissive activity in the mechanism of public administration. ru: INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1963277.
Dennis, Faber, and Vermunt Niels. 12 National Report for the Netherlands. Oxford University Press, 2016. http://dx.doi.org/10.1093/law/9780198727293.003.0012.
Kathleen, van der Linde, and Calitz Juanitta. 15 National Report for South Africa. Oxford University Press, 2016. http://dx.doi.org/10.1093/law/9780198727293.003.0015.
Tomáš, Richter. 7 National Report for the Czech Republic. Oxford University Press, 2016. http://dx.doi.org/10.1093/law/9780198727293.003.0007.
Soogeun, Oh, and Kim Kyungjin. 16 National Report for the Republic of Korea (South Korea). Oxford University Press, 2016. http://dx.doi.org/10.1093/law/9780198727293.003.0016.
Christoph G, Paulus, and Berberich Matthias. 10 National Report for Germany. Oxford University Press, 2016. http://dx.doi.org/10.1093/law/9780198727293.003.0010.
Wang, Weiguo. 6 National Report for the People’s Republic of China. Oxford University Press, 2016. http://dx.doi.org/10.1093/law/9780198727293.003.0006.
Christopher, Symes. 1 National Report for Australia. Oxford University Press, 2016. http://dx.doi.org/10.1093/law/9780198727293.003.0001.
Alexander, Trukhtanov. 14 National Report for the Russian Federation. Oxford University Press, 2016. http://dx.doi.org/10.1093/law/9780198727293.003.0014.
Ignacio, Tirado. 17 National Report for Spain. Oxford University Press, 2016. http://dx.doi.org/10.1093/law/9780198727293.003.0017.
Book chapters on the topic "Verification and admission of claim":
Soleimani, Amir, Christof Monz, and Marcel Worring. "BERT for Evidence Retrieval and Claim Verification." In Lecture Notes in Computer Science, 359–66. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45442-5_45.
Mongiovì, Misael, and Aldo Gangemi. "Graph-based Retrieval for Claim Verification over Cross-document Evidence." In Complex Networks & Their Applications X, 486–95. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-93413-2_41.
Pillai, Babu, Zhé Hóu, Kamanashis Biswas, and Vallipuram Muthukkumarasamy. "Formal Verification of the Burn-to-Claim Blockchain Interoperable Protocol." In Formal Methods and Software Engineering, 249–54. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-7584-6_15.
McLaughlin, Mark, and Paul Malone. "A Practical Approach to Identity on Digital Ecosystems Using Claim Verification and Trust." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 161–77. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14859-0_13.
Beyer, Dirk, and Jan Strejček. "Case Study on Verification-Witness Validators: Where We Are and Where We Go." In Static Analysis, 160–74. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-22308-2_8.
Das, Tanaya, Subhasish Mohapatra, and Abhishek Roy. "Insurance Policy Claim Verification Model of Unnatural Death Cases – An Artificial Intelligence Based Approach." In Advances in Intelligent Systems and Computing, 441–48. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73603-3_41.
Zhang, Zhiwei, Jiyi Li, and Fumiyo Fukumoto. "An Efficient Approach for Improving the Recall of Rough Abstract Retrieval in Scientific Claim Verification." In Artificial Neural Networks and Machine Learning – ICANN 2023, 63–74. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-44198-1_6.
"ADMISSION OF PART OF CLAIM FOR A SPECIFIED AMOUNT OF MONEY." In Civil Procedure, 170–77. Routledge-Cavendish, 2001. http://dx.doi.org/10.4324/9781843142133-42.
Andrews, Neil. "Default Judgments." In English Civil Procedure, 493–504. Oxford University PressOxford, 2003. http://dx.doi.org/10.1093/oso/9780199244256.003.0019.
Leshy, John D. "Admitting New States and Acquiring New Territory." In Our Common Ground, 31–40. Yale University Press, 2022. http://dx.doi.org/10.12987/yale/9780300235784.003.0004.
Conference papers on the topic "Verification and admission of claim":
Yang, Fan, Eduard Dragut, and Arjun Mukherjee. "Claim Verification under Positive Unlabeled Learning." In 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). IEEE, 2020. http://dx.doi.org/10.1109/asonam49781.2020.9381336.
Pan, Liangming, Wenhu Chen, Wenhan Xiong, Min-Yen Kan, and William Yang Wang. "Zero-shot Fact Verification by Claim Generation." In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers). Stroudsburg, PA, USA: Association for Computational Linguistics, 2021. http://dx.doi.org/10.18653/v1/2021.acl-short.61.
Gurrapu, Sai, Lifu Huang, and Feras A. Batarseh. "ExClaim: Explainable Neural Claim Verification Using Rationalization." In 2022 IEEE 29th Annual Software Technology Conference (STC). IEEE, 2022. http://dx.doi.org/10.1109/stc55697.2022.00012.
Hatua, Amartya, Arjun Mukherjee, and Rakesh M. Verma. "Claim Verification using a Multi-GAN based Model." In International Conference Recent Advances in Natural Language Processing. INCOMA Ltd. Shoumen, BULGARIA, 2021. http://dx.doi.org/10.26615/978-954-452-072-4_056.
Wadden, David, Kyle Lo, Bailey Kuehl, Arman Cohan, Iz Beltagy, Lucy Lu Wang, and Hannaneh Hajishirzi. "SciFact-Open: Towards open-domain scientific claim verification." In Findings of the Association for Computational Linguistics: EMNLP 2022. Stroudsburg, PA, USA: Association for Computational Linguistics, 2022. http://dx.doi.org/10.18653/v1/2022.findings-emnlp.347.
Khouja, Jude. "Stance Prediction and Claim Verification: An Arabic Perspective." In Proceedings of the Third Workshop on Fact Extraction and VERification (FEVER). Stroudsburg, PA, USA: Association for Computational Linguistics, 2020. http://dx.doi.org/10.18653/v1/2020.fever-1.2.
Calvo Figueras, Blanca, Montse Oller, and Rodrigo Agerri. "A Semantics-Aware Approach to Automated Claim Verification." In Proceedings of the Fifth Fact Extraction and VERification Workshop (FEVER). Stroudsburg, PA, USA: Association for Computational Linguistics, 2022. http://dx.doi.org/10.18653/v1/2022.fever-1.5.
Wu, Lianwei, Yuan Rao, Yuqian Lan, Ling Sun, and Zhaoyin Qi. "Unified Dual-view Cognitive Model for Interpretable Claim Verification." In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). Stroudsburg, PA, USA: Association for Computational Linguistics, 2021. http://dx.doi.org/10.18653/v1/2021.acl-long.5.
Hanselowski, Andreas, Hao Zhang, Zile Li, Daniil Sorokin, Benjamin Schiller, Claudia Schulz, and Iryna Gurevych. "UKP-Athene: Multi-Sentence Textual Entailment for Claim Verification." In Proceedings of the First Workshop on Fact Extraction and VERification (FEVER). Stroudsburg, PA, USA: Association for Computational Linguistics, 2018. http://dx.doi.org/10.18653/v1/w18-5516.
Padia, Ankur, Francis Ferraro, and Tim Finin. "Team UMBC-FEVER : Claim verification using Semantic Lexical Resources." In Proceedings of the First Workshop on Fact Extraction and VERification (FEVER). Stroudsburg, PA, USA: Association for Computational Linguistics, 2018. http://dx.doi.org/10.18653/v1/w18-5527.
Reports on the topic "Verification and admission of claim":
Harman. PR-364-11706-R01 Testing In-Situ Coriolis Meter Verification Technology Detecting Corrosion and Erosion. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), November 2015. http://dx.doi.org/10.55274/r0010855.
Smirnov, Serhii. Медіастандарти та фактчекінг в контексті психологічних бар’єрів, глибинних переконань та традицій. Ivan Franko National University of Lviv, March 2023. http://dx.doi.org/10.30970/vjo.2023.52-53.11726.