[HTML][HTML] Chatbots: History, technology, and applications
E Adamopoulou, L Moussiades - Machine Learning with applications, 2020 - Elsevier
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 …
Systems or simply chatbots. It aims to organize critical information that is a necessary …
Software-based dialogue systems: survey, taxonomy, and challenges
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 …
undergoing intense study through dedicated scientific and industrial research. The latest …
Dynamic knowledge graph alignment
Abstract Knowledge graph (KG for short) alignment aims at building a complete KG by
linking the shared entities across complementary KGs. Existing approaches assume that …
linking the shared entities across complementary KGs. Existing approaches assume that …
Human-aided bots
P Kucherbaev, A Bozzon… - IEEE Internet Computing, 2018 - ieeexplore.ieee.org
A chatbot is an example of a text-based conversational agent. While natural language
understanding and machine learning techniques have advanced rapidly, current fully …
understanding and machine learning techniques have advanced rapidly, current fully …
[HTML][HTML] Towards explanatory interactive image captioning using top-down and bottom-up features, beam search and re-ranking
Image captioning is a challenging multimodal task. Significant improvements could be
obtained by deep learning. Yet, captions generated by humans are still considered better …
obtained by deep learning. Yet, captions generated by humans are still considered better …
[PDF][PDF] Conversational agents in software engineering: Survey, taxonomy and challenges
Authors' addresses: Quim Motger, jmotger@ essi. upc. edu; Xavier Franch, franch@ essi.
upc. edu, Department of Service and Information System Engineering (ESSI), Universitat …
upc. edu, Department of Service and Information System Engineering (ESSI), Universitat …
A General Model for Aggregating Annotations Across Simple, Complex, and Multi-Object Annotation Tasks
Human annotations are vital to supervised learning, yet annotators often disagree on the
correct label, especially as annotation tasks increase in complexity. A common strategy to …
correct label, especially as annotation tasks increase in complexity. A common strategy to …
An accurate unsupervised method for joint entity alignment and dangling entity detection
Knowledge graph integration typically suffers from the widely existing dangling entities that
cannot find alignment cross knowledge graphs (KGs). The dangling entity set is unavailable …
cannot find alignment cross knowledge graphs (KGs). The dangling entity set is unavailable …
[PDF][PDF] Question answering systems: a systematic literature review
SS Alanazi, N Elfadil, M Jarajreh… - International Journal of …, 2021 - researchgate.net
Question answering systems (QAS) are developed to answer questions presented in natural
language by extracting the answer. The development of QAS is aimed at making the Web …
language by extracting the answer. The development of QAS is aimed at making the Web …
Effective crowdsourced generation of training data for chatbots natural language understanding
R Bapat, P Kucherbaev, A Bozzon - … , ICWE 2018, Cáceres, Spain, June 5 …, 2018 - Springer
Chatbots are text-based conversational agents. Natural Language Understanding (NLU)
models are used to extract meaning and intention from user messages sent to chatbots. The …
models are used to extract meaning and intention from user messages sent to chatbots. The …