Notes:
An XML knowledgebase is a database of information that is organized and formatted using the Extensible Markup Language (XML). XML is a widely-used markup language that allows developers to define the structure and content of a document or other piece of information in a way that is both human-readable and machine-readable. This makes it an ideal format for storing and organizing large amounts of structured data, such as the information that is typically used in chatbots.
In the context of chatbots, an XML knowledgebase is a collection of information that the chatbot can use to understand and respond to user input. This might include information about the chatbot’s domain, such as common questions and answers about a particular topic, as well as information about the chatbot’s capabilities and how it can be used. By storing this information in an XML knowledgebase, the chatbot can easily access and use the information to understand and respond to user input in a natural and conversational manner.
In addition to making it easier for the chatbot to access and use the information in its knowledgebase, using an XML format also has the advantage of being easily readable and editable by both humans and machines. This makes it easier for developers to maintain and update the knowledgebase, and to add new information as needed. Overall, an XML knowledgebase is a valuable tool for chatbots, as it allows them to access and use a wide range of information to engage in more natural and human-like conversations with users.
Resources:
- alquistai.com .. a dialogue manager allowing to create variety of bots
- s-case.github.io .. automatically generate restful web services from multi-modal requirements
Wikipedia:
- RailML (Railway Markup Language)
- Resource Description Framework
References:
- A Review of Technologies for Conversational Systems (2017)
- A Survey of Design Techniques for Conversational Agents (2017)
- Automatic question generation for virtual humans (2017)
- Chatbots for troubleshooting: A survey (2017)
- Generating AIML Rules from Twitter Conversations (2017)
- Integrating CALL Systems with Chatbots as Conversational Partners (2017)
- Jungian personality in a chatbot (2017)
- Painting Pictures with Words-From Theory to System (2017)
- Advanced Applications of Natural Language Processing for Performing Information Extraction (2015)
- Sentic Computing: A Common-Sense-Based Framework for Concept-Level Sentiment Analysis (2015)
- Human-Computer Interaction (2014)
See also:
100 Best oXygen XML Videos | 100 Best VoiceXML Videos | 100 Best WordPress XML Videos | 100 Best XML Database Videos | 100 Best XSD (XML Schema Definition) Videos | Sitemap Bots (XML Variants) | XML Grammar & Dialog Systems | XML Visualization
Development of a chatbot for informing students of the schedule
AO Priadko, KP Osadcha, VS Kruhlyk, VA Rakovych – 2020 – elibrary.kdpu.edu.ua
… the contents of two textbooks into AIML and sending the files to a chatbot knowledge base … information using a high-level program that extracts them into an XML file and it … effectiveness of management and training, in the development of ontologies, Knowledge Bases (KB) and …
A Review on Implementation Issues of Rule-based Chatbot Systems
SA Thorat, V Jadhav – Available at SSRN 3567047, 2020 – papers.ssrn.com
… ALICE is situated in XML knowledge base … every one of the inquiries satisfactorily it is feasible for ALICE bots to grow their insight bases through a XML … gives guidelines to researchers working in this domain in order to enhance performance and behaviour of Chatbot system …
A Dialogue-System Using a Qur’anic Ontology
F Bendjamaa, T Nora – 2020 Second International Conference …, 2020 – ieeexplore.ieee.org
… While common standards like Voice XML are widely used in the industry, it is still difficult to design … module is responsible for choosing the words on which the system must rely to question the knowledge base … x Knowledgebase: In our case, it is a pre-existing Qur’anic ontology …
An ontology-based chatbot for crises management: use case coronavirus
K Hwerbi – arXiv preprint arXiv:2011.02340, 2020 – arxiv.org
… ALICE uses AIML (Artificial Intelligence Mark-up Language), an XML- like language designed to create … The ALICE knowledge base is made up of question and answer modules, called categories, and … We first introduce three chatbot designs like in [2] and [42], which are: rule …
A framework for building closed-domain chat dialogue systems
M Nakano, K Komatani – Knowledge-Based Systems, 2020 – Elsevier
… Closed-domain chatbot. Dialogue system development framework. Non-task-oriented dialogue system … Section 2 mentions previous work related to closed-domain chatbots … It won first prize at the dialogue system live competition held in Nov., 2018 [9]. The system built by …
On Dialogue Systems Based on Deep Learning
Y Fan, X Luo, P Lin – International Journal of Computer and …, 2020 – publications.waset.org
… Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF … Mem2seq: Effectively incorporating knowledge bases into end-to-end task-oriented dialog systems … Improving knowledge-aware dialogue generation via knowledge base question answering …
A Survey of Response Generation of Dialogue Systems
Y Fan, X Luo, P Lin – International Journal of Computer and …, 2020 – publications.waset.org
… Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF … Mem2seq: Effectively incorporating knowledge bases into end-to-end task-oriented dialog systems … Improving knowledge-aware dialogue generation via knowledge base question answering …
Review of State-of-the-Art Design Techniques for Chatbots
R Agarwal, M Wadhwa – SN Computer Science, 2020 – Springer
… It is used for dialog modeling between a chatbot and human where the stimulus–response methodology is … It is easy to implement as it is closely related to XML (eXtensible Markup Language) and the … The knowledge-base unit or commonly called dialogue is defined by category …
Enhancing Customer Service Using Chatbot Application Through Artificial Intelligence
M Prabu, T Sai Tarun… – Journal of …, 2020 – ingentaconnect.com
… In our project we are using AIML, which is an XML based language and can be used for interaction between chatbots and humans … Knowledge Base Reasoning Component System Output … Here’s how a chatbot enhances customer experiences …
Virtual Medical Prediction using Artificial Intelligence (AI)
RT Rohini, S Rangaswamy – Language, 2020 – 67.209.122.217
… field or area and or on a peculiar issue and output is Predefined knowledge base assist to … Language) based on Extensible Markup Language (XML) to create AI applications [1]. It retrieves keywords … The Medical chatbot functions rely on NLP in which it assist users to ask about …
Bershca: bringing chatbot into hotel industry in Indonesia
D Gunawan, FP Putri, H Meidia – Telkomnika, 2020 – core.ac.uk
… Using the standard of XML, AIML becomes a language that defines a service in the field of artificial intelligence [18-20] … Figure 1. Design of chatbot system … is developed by using Google Flutter as the front-end application, while the back-end and the knowledge base are created …
Semi-automatic Knowledge Base Expansion for Question Answering
A Maisto, G Martorelli, A Paone, S Pelosi – International Conference on …, 2020 – Springer
… A KB predisposed for Question Answering can contain either typical structured data (html; json, xml, rdf) or semi … 3.2 Automatic Expansion of Knowledge Base … In this work we presented a methodology for the creation and the expansion of Lexical Knowledge Bases for the …
Text Messaging-Based Medical Diagnosis Using Natural Language Processing and Fuzzy Logic
NAI Omoregbe, IO Ndaman, S Misra… – Journal of Healthcare …, 2020 – hindawi.com
The use of natural language processing (NLP) methods and their application to developing conversational systems for health diagnosis increases patients’ access to medical knowledge. In this study, a chatbot service was developed for the Covenant University Doctor (CUDoctor …
APPLICATION OF AI-BASED FACILITATOR IN THE LEARNING AND TEACHING ENVIRONMENT
A Sarker – irjmets.com
… 2019. [10] J. Clark and S. DeRose, “XML Path Language (XPath),” W3C Recomm … [15] N. Hatwar, A. Patil, and D. Gondane, “AI based chatbot,” Int. J. Emerg … Basic Sci. ISSN, 2016. [16] O. De Pietro, M. De Rose, and G. Frontera, “Automatic update of AIML knowledge base in e …
Knowledge-grounded chatbot based on dual wasserstein generative adversarial networks with effective attention mechanisms
S Kim, OW Kwon, H Kim – Applied Sciences, 2020 – mdpi.com
… There have been various studies on knowledge-grounded chatbots (ie, chatbot models that actively acquire … associated with the entities in the previous utterances by looking up a knowledge base [15] … First, they require considerable time to build new external knowledge bases …
Chatbot Designing Information Service for New Student Registration Based on AIML and Machine Learning
Y Wijaya, F Zoromi – JAIA-Journal of Artificial Intelligence and …, 2020 – jurnal.sar.ac.id
… stands for The Artificial Intelligent Mark up Language which is a derivative of Extensible Mark up Language (XML) [7]. AIML … User Admin No Test Case Status 1 Fill out the knowledge base form … User Prospective students No Test Case Status 1 Ask questions to chatbot Success …
Technical Aspects of Developing Chatbots for Medical Applications: Scoping Review
Z Safi, A Abd-Alrazaq, M Khalifa, M Househ – Journal of Medical Internet …, 2020 – jmir.org
… Most studies kept a medical knowledge base to be used by the chatbot for different purposes throughout … 11 studies [10-15,32,33,46,48,50], or Extensible Markup Language (XML) variants, such … chatbot, 2 of the studies used a rule-based approach, where the chatbot is operated …
Open World Chatbot using Neural Networks in Green Cloud Environment
SK Philip, H Poonawala, R Anita – jgenng.com
… The engine used an XML based mark-up language to generate appropriate responses … Knowledge Base for the chatbot is made of categories from which it can exploit; by means … K, “Implementation of an inquisitive chatbot for database supported knowledge bases”, s?dhan?,vol …
Pedagogical Agents as Virtual Tutors
HRO Aguirre – Virtual Reality Designs, 2020 – books.google.com
… Pedagogical Agents as Virtual Tutors 133 • AIML: An XML-based language for developing chatbots, AIML … questions/answers of the user that are not anticipated in the knowledge base of the … A model of personal history enriches the social background of a chatbot and pretends …
The design and implementation of Language Learning Chatbot with XAI using Ontology and Transfer Learning
N Shi, Q Zeng, R Lee – arXiv preprint arXiv:2009.13984, 2020 – arxiv.org
… Information system is the basis to build a knowledgebase, from websites to search engines, then to … Ontology could be seen as a visualization of knowledge base or the update of search … protégé supports various of ontology languages such as RDF, RDFs, OWL, XML, UML, etc …
Forecasting artificial intelligence on online customer assistance: Evidence from chatbot patents analysis
E Pantano, G Pizzi – Journal of Retailing and Consumer Services, 2020 – Elsevier
… The main goal of this research is to provide a comprehensive understanding of the actual progresses in artificial intelligence, with emphasis on chatbots as emerging forms of customer assistance in online retailing. Drawing upon an analysis of the chatbot patents in the past 20 …
Memory-Based Deep Neural Attention (mDNA) for Cognitive Multi-Turn Response Retrieval in Task-Oriented Chatbots
J Chen, O Agbodike, L Wang – Applied Sciences, 2020 – mdpi.com
… select information-rich responses [1,2] that align within the scope of a predefined knowledge base … It has driven recent scholarly works on retrieval chatbots [1,8,11,12] to adopt … Recent novel retrieval chatbot models based on the transformer-attention architecture [1,8,11] have …
Tilly–A Tamil Learning Chatbot for Non-Native Tamil Speakers
M Goonatilleke, MWG Jayampath, B Hettige – 4 th SLAAI-International …, 2020 – slaai.lk
… In 1998 the program was written in Java and used an XML Schema called AIML (Artificial … The response is formed using a set of reassembly rules that reside in the knowledge base … com/learn/chatbot/why- are-chatbots-important/ [23] Zem?ík, Tomáš, A Brief History of Chatbots …
An overview of machine learning in chatbots
P Suta, X Lan, B Wu, P Mongkolnam… – Int J Mech Engineer …, 2020 – ijmerr.com
… Intelligence Markup Language (AIML) is a form of eXtensible Markup Language (XML), aimed to … It is why industries are moving towards a modern chatbot which uses AI technology … trained using data from their past conversations and update its knowledge base autonomously to …
Human annotated dialogues dataset for natural conversational agents
E Merdivan, D Singh, S Hanke, J Kropf, A Holzinger… – Applied Sciences, 2020 – mdpi.com
… A dialogue system requires a large amount of data to learn meaningful features and response … a certain level of abstraction due to natural language and human knowledge base; in other … groups [16]: task-oriented systems and non-task oriented systems (also known as chatbots) …
Natural language processing (NLP) in Artificial Intelligence (AI): a functional linguistic perspective
K Panesar – 2020 – bradscholars.brad.ac.uk
… Intelligence Markup Language) that is based on XML (Weizenbaum, 1966). It could … is a more refined “intelligent” version of a Chatbot, where the NL input must be … integrated knowledge base (KB) which may take the form of ontologies for recognition …
Conversational AI: Dialogue Systems, Conversational Agents, and Chatbots
M McTear – Synthesis Lectures on Human Language …, 2020 – morganclaypool.com
… Linked Lexical Knowledge Bases: Foundations and Applications Iryna Gurevych, Judith Eckle-Kohler, and … with the emergence of digital personal assistants, smart speak- ers, and chatbots … for example, Dialogue System, Voice User Interface, Conversational Agent, and Chatbot …
“Talking” Triples to Museum Chatbots
S Varitimiadis, K Kotis, D Spiliotopoulos… – … Conference on Human …, 2020 – Springer
… the basic principles of the Semantic Web and the construction of Knowledge Bases (KBs … queries, export the developed ontologies in several formats such as RDF/XML, RDF/OWL … use case scenario to manually create the Cretan MuBot evaluation knowledge base (schema and …
Features of New Design Principles for Mobile Applications UI/UX for Smartphones
MMA Lashin, WM Helmy – mjaf.journals.ekb.eg
… A mobile medical app should build on a robust medical knowledge base, ensuring an evidence-based … The applications can communicate using JSON instead of the XML language … 2.12. Chatbot UI design Chatbots interaction is used in dialog systems for customer service or …
A Chatbot For Interacting with SDMX Databases
G Thiry, I Manolescu, L Liberti – lix.polytechnique.fr
… Second, XML is the syntax favored also by Web ser- vice technologies such as SOAP [15] (for message exchange) and WSDL … A Chatbot For Interacting with SDMX Databases … The general framework for this kind of chatbots is to use the user’s inputs to fill a set of frames (origin …
Chatbots: history, technology, and a case analysis
B Jay – 2020 – soar.suny.edu
… Markup Language (AIML), a derivative of Extensible Markup Language (XML) (Kim, Cha, & Kim, 2019) … Reading from a backend knowledge base … Jay 25 The first step in creating a corpus based chatbot is to enable specific APIs on the Google …
DREAM technical report for the Alexa Prize 2019
Y Kuratov, I Yusupov, D Baymurzina… – Alexa Prize …, 2020 – personeltest.ru
… of DREAM socialbot is a hybrid system that combines rule-based, deep learning, and knowledge base driven components … In spite of the ubiquity of simple chatbots, the development of engaging conversational agents remains to be … Towards a human-like open-domain chatbot …
Conversational agents in health care: Scoping review and conceptual analysis
LT Car, DA Dhinagaran, BM Kyaw… – Journal of medical …, 2020 – qa-jmir.jmir.org
Background: Conversational agents, also known as chatbots, are computer programs designed to simulate human text or verbal conversations. They are increasingly used in a range of fields, including health care. By enabling better accessibility, personalization, and efficiency …
DisBot: a portuguese disaster support dynamic knowledge chatbot
J Boné, JC Ferreira, R Ribeiro, G Cadete – Applied Sciences, 2020 – mdpi.com
… as generating a new response based on the knowledge that is in the Dynamic Knowledge Base (DKB … 2. One of the main tools used in building our disaster support chatbot was RASA … and voice-based assistants that allows for a higher level of abstraction when creating chatbots …
An Automatic Question Answering Method for Small-Scale Corpus
Y Shao, G Xu, M Xu, L Dong – Journal of Physics: Conference …, 2020 – iopscience.iop.org
… This article uses XML language to store the dialog system intent recognition template, as … [4] Wang H and Li B 2018 Research progress of chatbot system Computer … 2018 LSTM based question answering for large scale knowledge base Acta Scientiarum Naturalium Universitatis …
Improving Access to Justice with Legal Chatbots
M Queudot, É Charton, MJ Meurs – Stats, 2020 – mdpi.com
… dialog system chatbot; information retrieval; natural language processing; question answering system; dialog system … In practice, we develop Information Retrieval (IR)-based chatbots in two different … First, we introduce in Section 2 recent developments in chatbot technology in …
From Traditional to Intelligent Academic Advising: A Systematic Literature Review of e-Academic Advising
A Assiri, AL Abdullah, H Brdesee – pdfs.semanticscholar.org
… as suggesting a course or a major for the students based on the data and knowledgebase … Authors in [32] proposed XML user-based Collaborative Filtering (CF) system … The system splits into database as a backend, AdvisorBot as a front agent, Knowledge Base, and Cognitive …
Reply Using Past Replies—A Deep Learning-Based E-Mail Client
Y Feng, MA Naeem, F Mirza, A Tahir – Electronics, 2020 – mdpi.com
… but are also suited for short-text prediction scenarios, such as Chatbots used in … task to collect or process enough training datasets to construct a classifier knowledge base … successfully introduced from the field of machine translation into the Chatbot dialogue system [26], we …
Designing and Implementing Adaptive Bot Model to Consult Ethiopian Published Laws Using Ensemble Architecture with Rules Integrated
H Asimare – 2020 – ir.bdu.edu.et
… as AIML files that are a subordinate of Extensible Markup Language (XML). ALICE is developed … chatbots) … Based on “Donna Interactive Chat-bot acting as a Personal Assistant” the conversational bots can be used as virtual assistance …
A Bichannel Transformer with Context Encoding for Document-Driven Conversation Generation in Social Media
Y Cai, M Zuo, Q Zhang, H Xiong, K Li – Complexity, 2020 – hindawi.com
Along with the development of social media on the internet, dialogue systems are becoming more and more intelligent to meet users’ needs for communication, emotion, and social intercourse. Previous studies usually use sequence-to-sequence learning with recurrent neural networks …
Knowledge Grounded Pre-Trained Model For Dialogue Response Generation
Y Wang, W Rong, J Zhang, Y Ouyang… – … Joint Conference on …, 2020 – ieeexplore.ieee.org
… I. INTRODUCTION Generating appropriate answers to arbitrary questions in an automated dialogue system is a … We use D = 1×1, …, xml, R = 1y1, …, ynl, and K = 1s1, …, sll to represent … We crawl Ubuntu manual pages to build the knowledge database, which contains 76k Ubuntu …
A Question Answering System For Interacting with SDMX Databases
G Thiry, I Manolescu, L Liberti – The 6 Natural Language Interfaces for the …, 2020 – hal.inria.fr
… 1 XML being the main standard, it is however useful to note that SDMX is also compatible … 1800 lines of code; it is available online at https://github.com/guillaume-thiry/OECD- Chatbot … 8 Related work Chatbots have become ubiquitous tools for human-computer interaction [11] …
Chatbots: History, technology, and applications
E Adamopoulou, L Moussiades – Machine Learning with Applications, 2020 – Elsevier
… Abstract. This literature review presents the History, Technology, and Applications of Natural Dialog Systems or simply chatbots. It aims to organize critical information that is a necessary background for further research activity in the field of chatbots …
Hierarchical transformer network for utterance-level emotion recognition
Q Li, C Wu, Z Wang, K Zheng – Applied Sciences, 2020 – mdpi.com
… Due to its rich representation and fast computation, it has been applied to many NLP tasks, eg, response matching in dialog systems [20] and language modeling [21] … Zhong et al. [6] proposed a knowledge enriched transformer (KET) with external knowledge bases, but this …
Conversation to Automation in Banking Through Chatbot Using Artificial Machine Intelligence Language
SF Suhel, VK Shukla, S Vyas… – 2020 8th International …, 2020 – ieeexplore.ieee.org
… Nevertheless, chatbots knowledge base is hand-coded in their brain … AIML is a subset of the mark- up language (XML) or the mark-up language of artificial … 2018 [28] D Zone ,Jibu Abraham,”The Significance of chatbots”,[online] https://dzone.com/articles/significance-of-chatbot …
Impact of Mobile Interactions With AI on Writing Performance
HS Kim, Y Cha, NY Kim – ??????, 2020 – dbpia.co.kr
… words, the rules of artificial intelligence are written in a language derived from XML, and this … In ad- dition, it is limited to its hand-coded knowledge base, and this is an obstacle in … Andy (left) and Replika (right), as demon- strated in Figure 1. These two chatbot applications were …
DBOS: A Dialog-Based Object Query System for Hospital Nurses
ETH Chu, ZZ Huang – Sensors, 2020 – mdpi.com
… In summary, the accuracy of rule-based NLP methods highly depends on the scale and completeness of the rule knowledge base … Similarly, R. Singh et al. [15] proposed an automated customer service chatbot that can respond to users’ queries …
Natural language understanding in argumentative dialogue systems
PR Shigehalli – 2020 – oparu.uni-ulm.de
… In addition to VPAs, DS also find extensive applications in chatbots … Hence the chat bot responses would become unreliable for a strategic user arguments like challenging previous arguments … the user arguments to the data in the database which is the knowledge base of a …
NATURAL LANGUAGE PROCESSING IN ARTIFICIAL INTELLIGENCE: A FUNCTIONAL LINGUISTIC PERSPECTIVE
K Panesar – The Age of Artificial Intelligence: An Exploration, 2020 – books.google.com
… language called AIML (Artificial Intelligence Markup Language) that is based on XML (Weizenbaum, 1966 … a dialogue system is a more refined “intelligent” version of a Chatbot, where the … thus requiring a robust complex framework, with an integrated knowledge base (KB) which …
The B-Subtle framework: tailoring subtitles to your needs
M Ventura, J Veiga, L Coheur, S Gama – Language Resources and …, 2020 – Springer
… 2018), creation of knowledge-bases (Tandon et al … 2. It can be seen that it is possible to track the biggest file (file “5054369.xml.gz”) and the file with the maximum number of interactions (file “156558.xml.gz … IRIS: a chat-oriented dialogue system based on the vector space model …
Smart Sampark-An approach towards building a responsive system for Kisan Call Center
P Ajawan, P Desai, V Desai – 2020 IEEE Bangalore …, 2020 – ieeexplore.ieee.org
… are the applications that do not provide chatbot facility where as Agriapp, Krishify are applications that provide chatbot facility, but … with knowledge base and respond with the accurate results … LUCENE index of a corpus of documents given in XML format is the information source …
Tools and Methodology for Converting Natural Language into RDF Representations
O Loia, E Kamateri, PD Vasileiadis – academia.edu
… since all the LOD resources include several mentions of the same entity in the knowledge base … output can be frame-based knowledge in the form of RDF triples or XML, including the word … from natural language text and link them to Linked Open Data knowledge bases, which is …
State of the art and open challenges in natural language interfaces to data
F ?zcan, A Quamar, J Sen, C Lei… – Proceedings of the 2020 …, 2020 – dl.acm.org
… Today’s chatbot platforms (eg, Google Dialogflow, Face- book Wit.ai, Microsoft Bot Framework, IBM Watson Assis- tant, etc.) allow users to interact … Expanding Query Answers on Medical Knowledge Bases … NaLIX: An Interac- tive Natural Language Interface for Querying XML …
Statistical natural language processing methods for intelligent process automation
A Moiseeva – 2020 – edoc.ub.uni-muenchen.de
… Figure 13 A downtrend candidate (negative slope); Topic: XML … of the central applications of NLP within the IPA domain – are conversational interfaces (eg, chatbots) that are … In a conventional chat- bot system, a user provides input in a natural language, the bot then processes …
Semantic Web Empowered E-Tourism
K Angele, D Fensel, E Huaman, E Kärle… – Handbook of e …, 2020 – Springer
… In complementary fashion, Google has developed its Google Knowledge Graph, a knowledge base already containing … The current hype is focused around chatbots and Intelligent Personal Assistants, which are … RDF-NTriples, RDF-Turtle, RDF-XML,RDF-JSON,JSON-LD, others …
Developing Amaia: A Conversational Agent for Helping Portuguese Entrepreneurs—An Extensive Exploration of Question-Matching Approaches for Portuguese
J Santos, L Duarte, J Ferreira, A Alves, HG Oliveira – Information, 2020 – mdpi.com
… This option would also allow us to focus on two components of the work, independently: (i) the “Knowledge Base” (KB), which would contain all the questions that the agent would be able to … Dialogue systems typically exploit large collections of text, often including conversations …
A survey on learning-based approaches for modeling and classification of human-machine dialog systems
F Cui, Q Cui, Y Song – IEEE transactions on neural networks …, 2020 – ieeexplore.ieee.org
… Artificial linguistic internet computer entity (Alice), the recent template-based dialog system, is written in an AI markup language (AIML) [16], which is an XML language that can create rules … And the data set is mainly used as the external knowledge base of the dialog system …
Natural language processing In chatbot development: how does a chatbot process language?
A Heikkilä – 2020 – jyx.jyu.fi
… Knowledge base can function as “what the dialogue system knows … yet, there has also a demand found for emotional support and companionship using chatbots (Zamora, 2017 … thesis lies in the gap between question answering system as well as a functional chatbot, de- pending …
Developing Emotion-Aware Human–Robot Dialogues for Domain-Specific and Goal-Oriented Tasks
JY Huang, WP Lee, CC Chen, BW Dong – Robotics, 2020 – mdpi.com
… Essentially, the dialogue system includes a knowledge base (ie, dataset … In contrast to the open-domain conversation performed by the general purpose chatbots, the domain-specific dialogue presented here aims to provide knowledge services of a certain domain (eg …
Modeling artificial agents’ actions in context–a deontic cognitive event ontology
M Vacura – Applied Ontology, 2020 – content.iospress.com
… have their drawbacks, they excel when used as highly flexible knowledge representation techniques and tools for extracting meaning from large amounts of unstructured web content, doing so through the use of standards with high interoperability, such as XML, RDF, and OWL …
Named entity recognition and relation detection for biomedical information extraction
N Perera, M Dehmer, F Emmert-Streib – Frontiers in Cell and …, 2020 – frontiersin.org
The number of scientific publications in the literature is steadily growing, containing our knowledge in the biomedical, health, and clinical sciences. Since there is currently no automatic archiving of the obtained results, much of this information remains buried in textual details not …
Domain-Agnostic Context-Aware Assistant Framework for Task-Based Environment
S Tiwari – 2020 – repository.asu.edu
… 27 5.9 Transcript Showing Use of Knowledge Base … Due to this, most of the smart assistants and chatbots are developed from scratch and thus end up providing different interfaces to the user … OWL is built on RDF and uses RDF’s XML-based syntax. 7 Page 16. Chapter 3 …
Learning Semantic Patterns for Question Generation
HP Rodrigues – 2020 – hlt.inesc-id.pt
… A.1 Part of the xml specification for the instance “news-common:2143” from the Edinburgh corpus training set – Hackett and Rossignol did not know each other and Hackett had no … create questions to assess their students, and the creation of a knowledge base for a chatbot …
Knowledge Graphs
D Fensel, U ?im?ek, K Angele, E Huaman, E Kärle… – 2020 – Springer
… We explain how inference can be used to define views on such a graph, making it a useful resource for open and service-oriented dialog systems. The proof of the pudding is in the eating … 83 3.4 Open and Service-Oriented Dialog Systems …
A comprehensive review on feature set used for anaphora resolution
K Lata, P Singh, K Dutta – Artificial Intelligence Review, 2020 – Springer
In linguistics, the Anaphora Resolution (AR) is the method of identifying the antecedent for anaphora. In simple terms, this is the problem that helps to s.
A CONTEMPORARY SURVEY ON INTELLIGENT HUMAN-ROBOT INTERFACES FOCUSED ON NATURAL LANGUAGE PROCESSING
I Giachos, D Piromalis, M Papoutsidakis, S Kaminaris… – 2020 – researchgate.net
… a moving robot on a campus (Chen et al., 2019 ), an Augmented Robotic Dialog System, which is … convert speech into written text, but it needs a well-defined grammar XML files that … in the right context and thus an approach is proposed that exploits knowledge bases that contain …
Institute of Communications Engineering Staff
M Bossert, R Fischer, W Minker, UC Fiebig… – Sensors, 2020 – uni-ulm.de
… and assessing end-user acceptability of a voice-based chatbot to support … workshop Proceedings of the 11th International Workshop on Spoken Dialog System Technology, Madrid … Proceedings of the 10th International Workshop on Spoken Dialog Systems Technology (IWSDS …
Study and Creation of Datasets for Comparative Questions Classification
S Stahlhacke – inf.uni-hamburg.de
… see Figure 1.2) to provide an overview of information and to directly answer questions [6]. The knowledge panels are based on Google’s large-scale knowledge base (KB), covering … Ideally, the system should work similar to a chatbot or a spoken-dialogue system (eg Amazon …
A Survey on Machine Reading Comprehension—Tasks, Evaluation Metrics and Benchmark Datasets
C Zeng, S Li, Q Li, J Hu, J Hu – Applied Sciences, 2020 – mdpi.com
… Deep Neural Attention (mDNA) for Cognitive Multi-Turn Response Retrieval in Task-Oriented Chatbots … could be widely applied in many NLP systems such as search engines and dialogue systems … ask it questions such as “How large is the pacific?”, the Bing chatbot will directly …
Towards Socially Interactive Agents: Learning Generative Models of Social Interactions Via Crowdsourcing
D Feng – 2020 – search.proquest.com
Page 1. 8/31/20 Page 2. Page 3. Towards Socially Interactive Agents: Learning Generative Models of Social Interactions via Crowdsourcing A Dissertation Presented by Dan Feng to Khoury College of Computer Sciences in partial fulfillment of the requirements for the degree of …
Intelligent Decision Support Systems-A Journey to Smarter Healthcare
S Belciug, F Gorunescu – 2020 – Springer
Page 1. Intelligent Systems Reference Library 157 Smaranda Belciug Florin Gorunescu Intelligent Decision Support Systems–A Journey to Smarter Healthcare Page 2. Intelligent Systems Reference Library Volume 157 Series Editors …
Brain-inspired Search Engine Assistant based on Knowledge Graph
X Zhao, H Chen, Z Xing, C Miao – arXiv preprint arXiv:2012.13529, 2020 – arxiv.org
… with lower mean square error (MSE). We also implement a prototype of DeveloperBot and customize it by loading a knowledge graph of the software engineering domain into its knowledge base. The results of the user study …
Learning Icelandic in Virtual Reykjavik: Simulating real-life conversations with embodied conversational agents using multimodal clarification requests
B Bédi – 2020 – opinvisindi.is
Page 1. Learning Icelandic in Virtual Reykjavik: Simulating real-life conversations with embodied conversational agents using multimodal clarification requests Branislav Bédi Ritgerð lögð fram til doktorsprófs 2020 Page 2. Learning Icelandic in Virtual Reykjavik …