TY - GEN
T1 - Empirical Comparison of Semantic Similarity Measures for Technical Question Answering
AU - Boukhatem, Nabil Moncef
AU - Buscaldi, Davide
AU - Liberti, Leo
N1 - Publisher Copyright:
© 2022, Springer Nature Switzerland AG.
PY - 2022/1/1
Y1 - 2022/1/1
N2 - We consider the task of looking for the answer to a given user question by means of identifying the most relevant document in a technical knowledge base. We briefly introduce the NLP fields related to this task, then discuss what we think are the most promising methods to accomplish the task. The main aim of the paper is to benchmark the chosen methods on two different knowledge bases (one proprietary, one public). Every document in each KB consists of a title and a text describing a solution to a technical problem. Our tests point out that the best method for the task at hand is the use of Sentence Transformers, a deep learning based method using pre-trained language models.
AB - We consider the task of looking for the answer to a given user question by means of identifying the most relevant document in a technical knowledge base. We briefly introduce the NLP fields related to this task, then discuss what we think are the most promising methods to accomplish the task. The main aim of the paper is to benchmark the chosen methods on two different knowledge bases (one proprietary, one public). Every document in each KB consists of a title and a text describing a solution to a technical problem. Our tests point out that the best method for the task at hand is the use of Sentence Transformers, a deep learning based method using pre-trained language models.
U2 - 10.1007/978-3-031-15743-1_16
DO - 10.1007/978-3-031-15743-1_16
M3 - Conference contribution
AN - SCOPUS:85138011747
SN - 9783031157424
T3 - Communications in Computer and Information Science
SP - 167
EP - 177
BT - New Trends in Database and Information Systems - ADBIS 2022 Short Papers, Doctoral Consortium and Workshops
A2 - Chiusano, Silvia
A2 - Cerquitelli, Tania
A2 - Wrembel, Robert
A2 - Nørvåg, Kjetil
A2 - Catania, Barbara
A2 - Vargas-Solar, Genoveva
A2 - Zumpano, Ester
PB - Springer Science and Business Media Deutschland GmbH
T2 - 3rd Workshop on Intelligent Data - From Data to Knowledge, DOING 2022, 1st Workshop on Knowledge Graphs Analysis on a Large Scale, K-GALS 2022, 4th Workshop on Modern Approaches in Data Engineering and Information System Design, MADEISD 2022, 2nd Workshop on Advanced Data Systems Management, Engineering, and Analytics, MegaData 2022, 2nd Workshop on Semantic Web and Ontology Design for Cultural Heritage, SWODCH 2022 and Doctoral Consortium which accompanied 26th European Conference on Advances in Databases and Information Systems, ADBIS 2022
Y2 - 5 September 2022 through 8 September 2022
ER -