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Scope and Challenges in Conversational AI using Transformer Models

Arighna Chakraborty, Asoke Nath
2021 International Journal of Scientific Research in Computer Science Engineering and Information Technology  
The authors have given a comparison between the various models discussed in terms of efficiency/accuracy and also discussed the scope and challenges in Transformer models.  ...  and finally, the Transformer networks, the latest in NLP and conversational AI.  ...  Transformer Models Most sequence generation models have an encoderdecoder structure (as in sequence to sequence model).  ... 
doi:10.32628/cseit217696 fatcat:2fau4up5tzc3xgeo6gw25tjgni


Serhii Didukh, Odessa National Academy of Food Technologies
2020 Economic scope  
The article is devoted to the study of the peculiarities of the external environment of agri-food holdings and identifying the preconditions for transforming the business model in the direction of inclusiveness  ...  The preconditions for the transformation of the business model of agricultural holdings in the direction of inclusiveness are highlighted: social, globalization, institutional, competitive, resource, land  ... 
doi:10.32782/2224-6282/162-12 fatcat:s6ccd65i5ncwpkdkqy33e2hx3a


Lina Shenderivska, National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Olga Guk, Hanna Mokhonko, National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"
2022 Economic scope  
The development of business models of publishing houses during the war and the Covid-19 pandemic is studied in accordance with the periodization method.  ...  First of all, the business models of leading publishing houses are analyzed.  ... 
doi:10.32782/2224-6282/179-12 fatcat:bxeyc2qwpzfrrfqsrsz6ymcure

PREparedness, REsponse and SySTemic transformation (PRE-RE-SyST): a model for disability-inclusive pandemic responses and systemic disparities reduction derived from a scoping review and thematic analysis

Tiago S. Jesus, Sureshkumar Kamalakannan, Sutanuka Bhattacharjya, Yelena Bogdanova, Juan Carlos Arango-Lasprilla, Jacob Bentley, Michel D. Landry, Christina Papadimitriou, Refugee Empowerment Task Force and International Networking Group of the American Congress of Rehabilitation Medicine
2021 International Journal for Equity in Health  
in pandemic crises, and beyond.  ...  This paper aims to present the PREparedness, RESponse and SySTemic transformation (PRE-RE-SyST): a model for a disability-inclusive pandemic responses and systematic disparities reduction.  ...  Methods A scoping review and thematic analysis were used to build the PRE-RE-SyST model, i.e. the themes and subthemes of the analysis provided the components for the PRE-RE-SyST model.  ... 
doi:10.1186/s12939-021-01526-y pmid:34521433 pmcid:PMC8438560 fatcat:n265bh6pwbhxfeimyajonxfn5a

Agile Validation of Higher Order Transformations Using F-Alloy

Loic Gammaitoni, Pierre Kelsen, Qin Ma
2016 2016 10th International Symposium on Theoretical Aspects of Software Engineering (TASE)  
Model transformations play a key role in model driven software engineering approaches. Validation of model transformations is crucial for the quality assurance of software systems to be constructed.  ...  In previous work, we proposed a sub-language of Alloy, called F-Alloy, that is tailored for model transformation specifications.  ...  Model Transformations in Alloy Alloy modules can also be exploited to specify model transformations [4] , [5] .  ... 
doi:10.1109/tase.2016.21 dblp:conf/tase/GammaitoniK016 fatcat:6q3xgdkofjewbeg5g36t2lylum

Automatic re-coding of reference code into structured and analyzable SoC models

Pramod Chandraiah, Rainer Domer
2008 2008 Asia and South Pacific Design Automation Conference  
Our automatic transformations, combined with interactive application of the designer's knowledge and experience, enable faster creation of structural hierarchy in C models and hence result in significant  ...  In this paper, we provide automatic C code transformations to encapsulate functions and insert structural hierarchy to create well-structured and analyzable SoC models.  ...  ACKNOWLEDGMENTS The authors thank the members of the System-on-Chip Environment group in the Center for Embedded Computer Systems at UC Irvine for providing the SCE tool-set for our experiments.  ... 
doi:10.1109/aspdac.2008.4483991 dblp:conf/aspdac/ChandraiahD08 fatcat:nfm5xyrzq5fh3bxmxlhtl3uqay

Automated Verification of Model Transformations in the Automotive Industry [chapter]

Gehan M. K. Selim, Fabian Büttner, James R. Cordy, Juergen Dingel, Shige Wang
2013 Lecture Notes in Computer Science  
In this study, we investigate using automated verification for such industrial transformations.  ...  We previously demonstrated how transformations can be used to migrate GM legacy models to AUTOSAR models.  ...  The maximum scope sufficient to show bugs in a transformation is transformation-dependent.  ... 
doi:10.1007/978-3-642-41533-3_42 fatcat:jasjgay6gjfo5hqgjyoixozfbu


Manish Bhide, Manoj K. Agarwal, Amir Bar-Or, Sriram Padmanabhan, Srinivas K. Mittapalli, Girish Venkatachaliah
2009 Proceedings of the VLDB Endowment  
In this paper, we describe a robust and comprehensive framework for performing Extract-Transform-Load (ETL) of XML.  ...  This includes (i) full computational model and engine capabilities to perform these operations in an ETL flow, (ii) an approach to pushing down XML operations into a database engine capable of supporting  ...  COMPUTATION MODEL A computational model is used to express ETL processes that move and transform data from sources to targets.  ... 
doi:10.14778/1687553.1687559 fatcat:sfatps75bvbileseucuac4kfki

D-Former: A U-shaped Dilated Transformer for 3D Medical Image Segmentation [article]

Yixuan Wu, Kuanlun Liao, Jintai Chen, Jinhong Wang, Danny Z. Chen, Honghao Gao, Jian Wu
2022 arXiv   pre-print
In this paper, we propose a new method called Dilated Transformer, which conducts self-attention for pair-wise patch relations captured alternately in local and global scopes.  ...  Experiments on the Synapse and ACDC datasets show that our D-Former model, trained from scratch, outperforms various competitive CNN-based or Transformer-based segmentation models at a low computational  ...  Local Scope Multi-head Self-Attention (LS-MSA) A vanilla Transformer conducts self-attention in a global scope in order to capture pair-wise relationships between patches, leading to quadratic complexity  ... 
arXiv:2201.00462v2 fatcat:qewt25275bbzzongwb3jztqtwu

A Comparison of LSTM and BERT for Small Corpus [article]

Aysu Ezen-Can
2020 arXiv   pre-print
Transformers have made a significant improvement in creating new state-of-the-art results for many NLP tasks including but not limited to text classification, text generation, and sequence labeling.  ...  In this paper we focus on a real-life scenario that scientists in academia and industry face frequently: given a small dataset, can we use a large pre-trained model like BERT and get better results than  ...  Interestingly, the simplest LSTM model performed the best in terms of both overall accuracy (both in-scope and out-of-scope accuracy) and in-scope accuracy (removing the out-of-scope utterances to calculate  ... 
arXiv:2009.05451v1 fatcat:jw4wuy2zzvcazhwyyfbwecl5am

Systemic computation: A model of interacting systems with natural characteristics

Peter J. Bentley
2007 International Journal of Parallel, Emergent and Distributed Systems  
of biology not found in conventional architectures.  ...  To address these issues a new computer model and architecture with natural characteristics is presented.  ...  scope of systems. • Computation is transformation. 10 This article has taken these concepts and developed a model of computation around them, using a graphical notation (in a similar manner to bigraphs  ... 
doi:10.1080/17445760601042803 fatcat:ul6tbdhdybdlhekv7xwutq5nkm

Are Pretrained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection [article]

Jianguo Zhang, Kazuma Hashimoto, Yao Wan, Zhiwei Liu, Ye Liu, Caiming Xiong, Philip S. Yu
2022 arXiv   pre-print
Pre-trained Transformer-based models were reported to be robust in intent classification.  ...  In this work, we first point out the importance of in-domain out-of-scope detection in few-shot intent recognition tasks and then illustrate the vulnerability of pre-trained Transformer-based models against  ...  We can see that the model is extremely likely to confuse ID-OOS intents with particular in-scope intents.  ... 
arXiv:2106.04564v3 fatcat:5rjyxfm6tfaghcxijntdtu7jji

Verification of Graph-based Model Transformations Using Alloy

Xiaoliang Wang, Fabian Büttner, Yngve Lamo
2014 Electronic Communications of the EASST  
Model transformations are fundamental in model driven development. Thus, verification of model transformations is indispensable to ensure the quality and the reliability of transformation results.  ...  In this paper we focus on graph-based model transformation systems using the double-pushout (DPO) approach and study their correctness w.r.t. conformance.  ...  Model Transformation System In this section, we will show how to specify a model transformation system in DPF.  ... 
doi:10.14279/tuj.eceasst.67.943 dblp:journals/eceasst/WangBL14 fatcat:c6ywevzhyjdffjo7j5sncuqvfq

Scalable Verification of Model Transformations

Xiaoliang Wang, Adrian Rutle, Yngve Lamo
2014 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems  
Model transformations are crucial in model driven engineering (MDE). Automatic execution of model transformations improves software development productivity.  ...  In a previous work we presented a verification approach of graph-based model transformation systems based on relational logic.  ...  Changes in the Encoding Procedure A direct model transformation is the application of one model transformation rule.  ... 
dblp:conf/models/WangRL14 fatcat:xc3chqvqcncdhilmcnqjhjh764

Corruption Markets: An Analytical Framework for Assessing Anti-Corruption Campaigns

Varvara M. Vasileva, Anton N. Vorobyev
2014 Social Science Research Network  
A new conceptual model of corruption market evolution is introduced in the article. Transformations of corruption markets depend on several factors.  ...  Type of corruption market encompasses 3 dimensions: quality of institutions, scope of regulations and degree of regulations.  ...  Another ideal reform is the one resulting in booming expansion of the quality of institutions, the degree and the scope of regulation. This ideal type transforms model B to model H.  ... 
doi:10.2139/ssrn.2537348 fatcat:t3qej55ldrgmrfulqjn6pruhpa
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