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Grounding Emotions in Human-Machine Conversational Systems [chapter]

Giuseppe Riccardi, Dilek Hakkani-Tür
2005 Lecture Notes in Computer Science  
In this paper we investigate the role of user emotions in human-machine goal-oriented conversations.  ...  Much of the research work has gone in determining what are the correct labels and improving emotion prediction accuracy.  ...  We would like to thank Frederic Bechet for his contributions to the annotation of the dialog database.  ... 
doi:10.1007/11590323_15 fatcat:5eagawjgrfba5g3u5fusitikyq

Intent Classification in Conversational System using Machine Learning Techniques

Monica Menda, G. Satya Keerthi
2022 International Journal of Computer Applications  
The improvement of chatbots has ended up greater famous in current days. Many conversational chatbots were created for that reason so far.  ...  Chatbots are computer programs that speak with humans in herbal language.  ...  Chatbots should be able to understand and respond to human natural language.  ... 
doi:10.5120/ijca2022921913 fatcat:hyo3pzwx7ratzojwg6tj5vbowy

Research on Oral English Dialogue Understanding Based on Deep Learning

Chan Li, Rui Tian
2022 Scientific Programming  
In task-based human-machine dialogue systems, external knowledge bases can provide the machine with valid information beyond the training data, helping the model to better perform the oral English dialogue  ...  Oral English dialogue is a crucial part of a dialogue system that enables a computer to "understand" the input language as a human does, so the performance of a dialogue system is closely related to the  ...  Conflicts of Interest e authors declared that they have no conflicts of interest regarding this work.  ... 
doi:10.1155/2022/8005321 doaj:99cfef0240e34a499e0d6cc66fdb7e32 fatcat:odqyq5eihvf4jccgp6lyb5riby

Seq2Seq and Multi-Task Learning for joint intent and content extraction for domain specific interpreters [article]

Marc Velay, Fabrice Daniel
2018 arXiv   pre-print
This study evaluates the performances of an LSTM network for detecting and extracting the intent and content of com- mands for a financial chatbot.  ...  It presents two techniques, sequence to sequence learning and Multi-Task Learning, which might improve on the previous task.  ...  We could notice an improvement of 2% for both tagging and intent detection accuracy. But this difference levels the processing of the interpreter, on known words, to human-like understanding.  ... 
arXiv:1808.00423v1 fatcat:dhxvkepsyzauvo7rmtpkqvvdpe

ASTA: Learning Analytical Semantics over Tables for Intelligent Data Analysis and Visualization [article]

Lingbo Li, Tianle Li, Xinyi He, Mengyu Zhou, Shi Han, Dongmei Zhang
2022 arXiv   pre-print
In this paper, we present the recommendation of conditional formatting for the first time, together with chart recommendation, to exemplify intelligent table analysis.  ...  Here, we design analytical semantics by separating data focus from user intent, which extract the user motivation from data and human perspective respectively.  ...  In the first step of ASTA framework, we design user intent and data focus to better understand the specific table analysis and visualization, e.g., conditional formatting and chart.  ... 
arXiv:2208.01043v2 fatcat:awi6kdpjwff2xoaq5sf2ietdoq

Empirical Evaluation of Complex System Interfaces for Power Plant Control Room Using Human Work Interaction Design Framework [chapter]

Anant Bhaskar Garg, K. K. Govil
2013 IFIP Advances in Information and Communication Technology  
The case of power plant control room is discussed and analyzed in the context of human system interactions, work and task analysis.  ...  This approach helps in reducing cognitive workload on operator which can result in reduction in errors in managing the control room of the power plant.  ...  Torkil for helpful in writing and completing the paper. Also thankful to Dr. S. J. Chopra, Chancellor, and Dr. Parag Diwan, Vice-Chancellor, UPES for their encouragement and support.  ... 
doi:10.1007/978-3-642-41145-8_8 fatcat:lcbvvq4hmfczlbznf37r2hwgxm

An Intention Understanding Algorithm Based on Multimodal Information Fusion

Shaosong Dou, Zhiquan Feng, Jinglan Tian, Xue Fan, Ya Hou, Xin Zhang, Qianchuan Zhao
2021 Scientific Programming  
. (2) A set of robot accompanying systems based on the robot is formed, which is applied in the elderly service scene.  ...  In addition, we introduce the actual distance between the users and objects and give each object a different purpose to implement intent understanding based on object-user distance.  ...  Acknowledgments is paper was supported by the Independent Innovation Team Project of Jinan City (no. 2019GXRC013).  ... 
doi:10.1155/2021/8354015 fatcat:ouuxfi7mhjaqzhklxw3anip4cu

The Case for API Communicability Evaluation: Introducing API-SI with Examples from Keras [article]

Luiz Marques Afonso, João Antonio Marcondes Dutra Bastos, Clarisse Sieckenius de Souza, Renato Fontoura de Gusmão Cerqueira
2018 arXiv   pre-print
Most of the re-search on API evaluation and design derives from user-centered, cognitive perspectives on human-computer interaction.  ...  Additionally, API-SI is packaged as an introductory semiotic tool that API designers and researchers can use to evaluate the communication of design intent and product rationale to other programmers through  ...  The above examples of Keras's communication of design intent, beliefs and values to users like Martin are inspected in the context of actions to understand and mitigate overfitting conditions in DL.  ... 
arXiv:1808.05891v1 fatcat:qadejeib5ve4fedarnm4n65xqm


Fred Hohman, Andrew Head, Rich Caruana, Robert DeLine, Steven M. Drucker
2019 Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems - CHI '19  
Participants also asked to use Gamut in their work, highlighting its potential to help data scientists understand their own data.  ...  Through an iterative design process with expert machine learning researchers and practitioners, we designed a visual analytics system, Gamut, to explore how interactive interfaces could better support  ...  We also thank the data scientists at Microsoft who participated in our interviews and studies. This work was supported by a NASA Space Technology Research Fellowship.  ... 
doi:10.1145/3290605.3300809 dblp:conf/chi/HohmanHCDD19 fatcat:smlhdzdh3jfzlgneznpnbytzty

What Would You Ask the Machine Learning Model? Identification of User Needs for Model Explanations Based on Human-Model Conversations [article]

Michał Kuźba, Przemysław Biecek
2020 arXiv   pre-print
In this experiment, we developed a chatbot called dr_ant to talk about machine learning model trained to predict survival odds on Titanic.  ...  Recently we see a rising number of methods in the field of eXplainable Artificial Intelligence.  ...  Introduction Machine Learning models are widely adopted in all areas of human life.  ... 
arXiv:2002.05674v3 fatcat:3ewsvzv3fzg6dgvmihydkrxrhq

The Perception of Entrepreneurship Managers and Impact on the Leadership Style in the United States With the Modern Natural Language Processing Analysis

2021 Journal of Management Policy and Practice  
The result that texts mining improves model performance in predicting the best perceptions leadership strategies targeted at increasing understanding of the emotional intelligence to influence employee's  ...  The perception of entrepreneurship managers plays crucial roles in the leadership style all managers.  ...  In summary, the results showed that text mining improves model performance in predicting the best perceptions leadership strategies targeted at increasing understanding of the emotional intelligence to  ... 
doi:10.33423/jmpp.v22i2.4459 fatcat:sdqgptoedrhf3olwccmlghnknu

Investigation on the impact of human-automation interaction in maritime operations

Kayvan Pazouki, Neil Forbes, Rosemary A. Norman, Michael D. Woodward
2018 Ocean Engineering  
This has led to the identification of opportunities to improve human-machine interaction.  ...  The research presented in this paper aims to improve understanding in this important area of study for the maritime industry.  ...  As 80% of accidents in high risk industries can be attributed to human error (O'Connor et al., 2008) , there is a clear benefit to understanding the human-machine interaction.  ... 
doi:10.1016/j.oceaneng.2018.01.103 fatcat:re66qzuf3jffpnfral4s7qjdea

Multimodal Fusion Algorithm and Reinforcement Learning-Based Dialog System in Human-Machine Interaction

Hanif Fakhrurroja, Institut Teknologi Bandung, School of Electrical Engineering and Informatics, Indonesia, Carmadi Machbub, Ary Setijadi Prihatmanto, Ayu Purwarianti, Institut Teknologi Bandung, School of Electrical Engineering and Informatics, Indonesia, Institut Teknologi Bandung, School of Electrical Engineering and Informatics, Indonesia, Institut Teknologi Bandung, School of Electrical Engineering and Informatics, Indonesia
2020 International Journal on Electrical Engineering and Informatics  
Other problems include activating the system using various modalities, right multimodal fusion methods, machine understanding of human intentions, and methods for developing knowledge.  ...  This study developed a method of human-machine interaction system.  ...  Intent Classification for Dialogue Module (Intent Search) This module involves machine understanding of human speech to fulfil intent.  ... 
doi:10.15676/ijeei.2020.12.4.19 fatcat:tun3mqo3a5cn7d5sui7bdd2o6y

Website Content Analyzer SEO Tool

Khushboo Sonawane
2015 International Journal on Recent and Innovation Trends in Computing and Communication  
Search Engine Optimization is making your website easy for both users and search engine robots to understand.  ...  It not only works for some specific task but shows the overall analysis of the website pages and also presents it in the complete and pending percentage format.  ...  Understanding many of the basics pertaining to machine learning can help SEO's get a grasp of how some of the algorithmic updates work.  ... 
doi:10.17762/ijritcc2321-8169.150157 fatcat:gi6iuhaki5bjvavj3yzuqbj33m


Archana Dehankar, Shyamal Kirpan, Abhayraj Jha, Gitesh Thosare, Adarsh Bhaisare, Sumit Mankar
2022 International journal of computer science and mobile computing  
AI is running as a messenger on Facebook, taking input in the form of text and voice and responding in the form of text and voice.  ...  A chatbot is a programme that uses Artificial Intelligence to provide human conversation (AI). Chatbots are intended to serve as VIRTUAL ASSISTANTS (VA).  ...  Because the degree of similarity with both answers to questions is unknown, human intervention is essential in this case. 3) Dialog flow intercepts entities, and indeed the model understands when those  ... 
doi:10.47760/ijcsmc.2022.v11i05.006 fatcat:gp7yq5ac5vbwnm7fdjau2au4gu
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