A Survey on Chat-Bot system for Agriculture Domain

作者: Prashant Y. Niranjan , Vijay S. Rajpurohit , Rasika Malgi

DOI: 10.1109/ICAIT47043.2019.8987429

关键词:

摘要: Chat-Bot system is a part of natural language processing, where it requires to be trained as per the human language, so that can satisfy needs user. Agriculture domain leading source countries growth. At present farmers are not much aware about recent technologies and practices being used in agriculture field. Extraction meaningful answer by machine learning techniques problem, has been studied many experts well advanced introduced. These applied extract accurate answer. We call this an Question Answering System, farmer query understands responds given query. In paper, we have reviewed extracting precise for question mainly focusing on techniques. made suggestions provided comparative analysis.

参考文章(4)
Asma Ben Abacha, Pierre Zweigenbaum, MEANS: A medical question-answering system combining NLP techniques and semantic Web technologies Information Processing & Management. ,vol. 51, pp. 570- 594 ,(2015) , 10.1016/J.IPM.2015.04.006
Sharvari Gaikwad, Rohan Asodekar, Sunny Gadia, Vahida Z. Attar, AGRI-QAS question-answering system for agriculture domain advances in computing and communications. pp. 1474- 1478 ,(2015) , 10.1109/ICACCI.2015.7275820
Garima Nanda, Mohit Dua, Krishma Singla, A Hindi Question Answering System using Machine Learning approach international conference on computational techniques in information and communication technologies. pp. 311- 314 ,(2016) , 10.1109/ICCTICT.2016.7514599
Hasangi Kahaduwa, Dilshan Pathirana, Pathum Liyana Arachchi, Vishma Dias, Surangika Ranathunga, Upali Kohomban, Question Answering system for the travel domain moratuwa engineering research conference. pp. 449- 454 ,(2017) , 10.1109/MERCON.2017.7980526