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Modeling Multi-party Web-Based Business Collaborations [chapter]

Lai Xu, Sjaak Brinkkemper
2005 Lecture Notes in Computer Science  
Finally we provide process semantics for modeling multi-party Web-based collaborations.  ...  There is however still very limited research activity on modeling multi-party Web-based business collaboration underlying semantics.  ...  For example, based on the collaboration structure model in Figure 3 , an insurant phones a call center for a claim.  ... 
doi:10.1007/11575863_108 fatcat:srnjjaadwfeb7gtymqm37luffy

A survey on attention mechanisms for medical applications: are we moving towards better algorithms? [article]

Tiago Gonçalves, Isabel Rio-Torto, Luís F. Teixeira, Jaime S. Cardoso
2022 arXiv   pre-print
Naturally, the use of attention-based algorithms for medical applications occurred smoothly.  ...  The increasing popularity of attention mechanisms in deep learning algorithms for computer vision and natural language processing made these models attractive to other research domains.  ...  Filipavicius et al. [2020] studied the use of Transformer-based language models for protein classification using long sequences.  ... 
arXiv:2204.12406v1 fatcat:lwz3hvd44bfqnhf7n57ejehidu

A Unified Conversational Assistant Framework for Business Process Automation [article]

Yara Rizk, Abhishek Bhandwalder, Scott Boag, Tathagata Chakraborti, Vatche Isahagian, Yasaman Khazaeni, Falk Pollock, Merve Unuvar
2020 arXiv   pre-print
Two use cases on a travel preapproval business process and a loan application business process are adopted to qualitatively analyze the proposed framework based on four criteria: performance, coding overhead  ...  This will provide business users a natural language interface to interact with, monitor and control autonomous agents.  ...  In this work, we claim that a proactive multi-agent conversational framework can be that one stop shop that resolves many of these challenges.  ... 
arXiv:2001.03543v1 fatcat:2utd7c33oze4ve3mvsnfdhjmuq

A Multi-Modal Approach to Digital Document Stream Segmentation for Title Insurance Domain

Abhijit Guha, Abdulrahman Alahmadi, Debabrata Samanta, Mohammad Zubair Khan, Ahmed H. Alahmadi
2022 IEEE Access  
It's a common requirement of a TI company's Automated Document Management Systems (ADMS), where business operations are automated using RPA and the goal is to extract information from digital documents  ...  Encoder Representations from Transformers (Legal-BERT base ) model through transfer learning respectively.  ...  TABLE 7 . 7 Result of the proposed model experiment with the multi-modal features combining textual feature using Legal-BERT base and image feature using VGG16.  ... 
doi:10.1109/access.2022.3144185 fatcat:udilkrbx4rbf7ij5bnfeuzff6q

Deep Learning Based Text Classification: A Comprehensive Review [article]

Shervin Minaee, Nal Kalchbrenner, Erik Cambria, Narjes Nikzad, Meysam Chenaghlu, Jianfeng Gao
2021 arXiv   pre-print
We also provide a summary of more than 40 popular datasets widely used for text classification.  ...  language inference.  ...  [40] studied the impact of word embedding and proposed to use weighted word embeddings via a multi-channel CNN model. Zhang et al.  ... 
arXiv:2004.03705v3 fatcat:al5hstylsbhfpldvokuvlpomam

Applications of Fuzzy Technology in Business Intelligence

Andreas Meyer, Hans-Jürgen Zimmermann
2011 International Journal of Computers Communications & Control  
Two versions of fuzzy technology will be used: Fuzzy Knowledge based systems and fuzzy clustering.  ...  The reasons for that are manifold: Real applications are normally not single-method-applications but rather complex combinations of different techniques, which are not suited for a publication in a journal  ...  They can use it to solve their problems better than by a purely dichotomous modeling language.  ... 
doi:10.15837/ijccc.2011.3.2128 fatcat:akq2qjkhoja6fithdkilhq35pa

Communicative commitments: Model checking and complexity analysis

Jamal Bentahar, Mohamed El-Menshawy, Hongyang Qu, Rachida Dssouli
2012 Knowledge-Based Systems  
We fully implemented the proposed algorithms on top of MCMAS, a model checker for the verification of multi-agent systems, and provide in this paper simulation results of an industrial case study.  ...  We present axioms of commitments and their fulfillment and provide the associated BDD-based model checking algorithms.  ...  Orna Kupferman for her highly helpful explanations, suggestions, and comments regarding the complexity of model checking for concurrent programs.  ... 
doi:10.1016/j.knosys.2012.04.010 fatcat:mfsolpq74za5fgbqksr643jsuu

AN EFFECTIVE MACHINE LEARNING MODEL FOR CUSTOMER ATTRITION PREDICTIONIN MOTOR INSURANCE USING GWO-KELM ALGORITHM

Deepthi Das, Raju Ramakrishna Gondkar
2021 Information Technology in Industry  
Due to the incessant upgradation done in the insurance policies, the retention process of customers plays a significant role for the concern.  ...  The prediction of customers' churn is a challenging task in different industrial sectors, in which the motor insurance industry is one of the well-known industries.  ...  The main challenges in the customer churn prediction systems are: i) All the data were leveraged based on the retention values.  ... 
doi:10.17762/itii.v9i1.105 fatcat:6oyrztjcevhjhgu56ai2ah3rb4

Multitask Recalibrated Aggregation Network for Medical Code Prediction [article]

Wei Sun and Shaoxiong Ji and Erik Cambria and Pekka Marttinen
2021 arXiv   pre-print
Medical coding translates professionally written medical reports into standardized codes, which is an essential part of medical information systems and health insurance reimbursement.  ...  Experiments with a real-world MIMIC-III dataset show significantly improved predictive performance.  ...  For example, major insurance companies use standard medical codes in their insurance claim business [4] .  ... 
arXiv:2104.00952v3 fatcat:yu2jcjqp3jeazdbily44j7fuq4

Analysis on the Utility and Implementation Path of Copyright Insurance Based on Blockchain

Yiding Li
2021 Open Journal of Social Sciences  
insurance platform module to realize the automatic claim settlement function of insurance from the system.  ...  By virtue of its compensation function and system advantages, copyright insurance can have a positive effect on online copyright.  ...  The mathematical algorithm of equity; a smart contract is a contract that uses computer language instead of legal language to record terms.  ... 
doi:10.4236/jss.2021.97039 fatcat:v3se5kxpibadbct4v6x7gc6fwq

DeepHealth: Review and challenges of artificial intelligence in health informatics [article]

Gloria Hyunjung Kwak, Pan Hui
2020 arXiv   pre-print
Artificial intelligence has provided us with an exploration of a whole new research era.  ...  Despite its notable advantages, there are some key challenges on data (high dimensionality, heterogeneity, time dependency, sparsity, irregularity, lack of label, bias) and model (reliability, interpretability  ...  DeepDive based system made the best labeling entities to encode domain knowledge and sequence-structure into a probabilistic graphical model.  ... 
arXiv:1909.00384v2 fatcat:sy7pm2c2uvdd3pal2russn4xri

A Comparison of Deep Learning Methods for ICD Coding of Clinical Records

Elias Moons, Aditya Khanna, Abbas Akkasi, Marie-Francine Moens
2020 Applied Sciences  
The evaluation leads to a discussion of the advantages and disadvantages of the models.  ...  In this survey, we discuss the task of automatically classifying medical documents into the taxonomy of the International Classification of Diseases (ICD), by the use of deep neural networks.  ...  Similar to that model, they are based on a CNN architecture with a label attention mechanism that considers ICD coding as a multi-task binary classification problem.  ... 
doi:10.3390/app10155262 fatcat:oonzdpnitfdrzbuoh6fgwhrkma

SmartHS: An AI Platform for Improving Government Service Provision

Yongqing Zheng, Han Yu, Lizhen Cui, Chunyan Miao, Cyril Leung, Qiang Yang
2018 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
Previous attempts to address this challenge following a toolbox e-government system model in China were not effective.  ...  In this paper, we report on a successful experience in improving government service provision in the domain of social insurance in Shandong Province, China.  ...  Figure 3 : 3 Figure 3: An example scenario of a social insurance benefits claim under the existing Chinese e-government system model.  ... 
doi:10.1609/aaai.v32i1.11382 fatcat:jfq4kizjh5fwzf7luqo4jdikoy

Multimodal Interfaces: A Survey of Principles, Models and Frameworks [chapter]

Bruno Dumas, Denis Lalanne, Sharon Oviatt
2009 Lecture Notes in Computer Science  
, modeling languages, frameworks, etc.  ...  The grand challenge of multimodal interface creation is to build reliable processing systems able to analyze and understand multiple communication means in real-time.  ...  The second part lists a number of languages used for multimodal recognizer output and multimodal synthesizer input representations, and modeling languages used to configure multimodal systems.  ... 
doi:10.1007/978-3-642-00437-7_1 fatcat:2kpxjb4kqfcupkrxeexlvwi3su

Scene Text Detection and Recognition: The Deep Learning Era [article]

Shangbang Long, Xin He, Cong Yao
2020 arXiv   pre-print
We expect that this review paper would serve as a reference book for researchers in this field.  ...  Further, they use a coordinate map as a second input to enforce spatialawareness.  ...  ., 2015) with an encoder-decoder based text recognition model and make up their text spotting system.  ... 
arXiv:1811.04256v5 fatcat:vhtpriukobcu7cwikh6me2wuwm
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