Academic Journal

Software-Based Dialogue Systems: Survey, Taxonomy, and Challenges

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Software-Based Dialogue Systems: Survey, Taxonomy, and Challenges
Συγγραφείς: Motger de la Encarnación, Joaquim, Franch Gutiérrez, Javier, Marco Gómez, Jordi
Συνεισφορές: Universitat Politècnica de Catalunya. Doctorat en Computació, Universitat Politècnica de Catalunya. Departament d'Enginyeria de Serveis i Sistemes d'Informació, Universitat Politècnica de Catalunya. Departament de Ciències de la Computació, Universitat Politècnica de Catalunya. inSSIDE - integrated Software, Service, Information and Data Engineering
Πηγή: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Publication Status: Preprint
Στοιχεία εκδότη: Association for Computing Machinery (ACM), 2022.
Έτος έκδοσης: 2022
Θεματικοί όροι: FOS: Computer and information sciences, Computer Science - Computation and Language, Systematic literature review, 02 engineering and technology, User interfaces (Computer systems), Interacció persona-ordinador, Interfícies d'usuari (Informàtica), Software Engineering (cs.SE), Computer Science - Software Engineering, Chatbots, Natural language processing (Computer science), 0202 electrical engineering, electronic engineering, information engineering, Human computer interaction, Tractament del llenguatge natural (Informàtica), Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Llenguatge natural, Conversational agents, Informàtica::Intel·ligència artificial::Llenguatge natural [Àrees temàtiques de la UPC], Computation and Language (cs.CL)
Περιγραφή: The use of natural language interfaces in the field of human-computer interaction (HCI) is undergoing intense study through dedicated scientific and industrial research. The latest contributions in the field, including deep learning approaches like recurrent neural networks (RNNs), the potential of context-aware strategies and user-centred design approaches, have brought back the attention of the community to software-based dialogue systems, generally known as conversational agents or chatbots. Nonetheless, and given the novelty of the field, a generic, context-independent overview of the current state of research on conversational agents covering all research perspectives involved is missing. Motivated by this context, this article reports a survey of the current state of research of conversational agents through a systematic literature review of secondary studies. The conducted research is designed to develop an exhaustive perspective through a clear presentation of the aggregated knowledge published by recent literature within a variety of domains, research focuses and contexts. As a result, this research proposes a holistic taxonomy of the different dimensions involved in the conversational agents’ field, which is expected to help researchers and to lay the groundwork for future research in the field of natural language interfaces.
Τύπος εγγράφου: Article
Περιγραφή αρχείου: application/pdf
Γλώσσα: English
ISSN: 1557-7341
0360-0300
DOI: 10.1145/3527450
DOI: 10.48550/arxiv.2106.10901
DOI: 10.13039/501100011033
Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2106.10901
Rights: arXiv Non-Exclusive Distribution
URL: https://www.acm.org/publications/policies/copyright_policy#Background
Αριθμός Καταχώρησης: edsair.doi.dedup.....bf95d621259b75d2344e71908564ddbf
Βάση Δεδομένων: OpenAIRE
Περιγραφή
ISSN:15577341
03600300
DOI:10.1145/3527450