TY - GEN
T1 - Question Classification in a Question Answering System on Cooking
AU - Manna, Riyanka
AU - Das, Dipankar
AU - Gelbukh, Alexander
N1 - Publisher Copyright:
© 2020, Springer Nature Switzerland AG.
PY - 2020
Y1 - 2020
N2 - Question Answering is a very actively developing filed of Natural Language Processing. In this field, the most active research work is currently going on with relation to the Question Classification module of a Question Answering System. It plays a very important role in determining the expectations of the user. The aim of question classification is to identify the type of questions and based on question type the expected answer will be extracted from the data. In the past years, question classification was done by using only rule-based approach. This approach was too specific for the users and it was difficult to achieve the purpose. In this paper, we will classify the cooking questions into different classes; the overall system is able to identify the new question type that will able to give a perfect answer of the question by using machine learning approach.
AB - Question Answering is a very actively developing filed of Natural Language Processing. In this field, the most active research work is currently going on with relation to the Question Classification module of a Question Answering System. It plays a very important role in determining the expectations of the user. The aim of question classification is to identify the type of questions and based on question type the expected answer will be extracted from the data. In the past years, question classification was done by using only rule-based approach. This approach was too specific for the users and it was difficult to achieve the purpose. In this paper, we will classify the cooking questions into different classes; the overall system is able to identify the new question type that will able to give a perfect answer of the question by using machine learning approach.
UR - http://www.scopus.com/inward/record.url?scp=85092902946&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-60887-3_10
DO - 10.1007/978-3-030-60887-3_10
M3 - Contribución a la conferencia
AN - SCOPUS:85092902946
SN - 9783030608866
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 103
EP - 108
BT - Advances in Computational Intelligence - 19th Mexican International Conference on Artificial Intelligence, MICAI 2020, Proceedings
A2 - Martínez-Villaseñor, Lourdes
A2 - Ponce, Hiram
A2 - Herrera-Alcántara, Oscar
A2 - Castro-Espinoza, Félix A.
PB - Springer Science and Business Media Deutschland GmbH
T2 - 19th Mexican International Conference on Artificial Intelligence, MICAI 2020
Y2 - 12 October 2020 through 17 October 2020
ER -