Answering questions through question answering (QA) system in natural language is highly acknowledged. Since 1960s, Artificial Intelligence (AI) supporting system is widely combined with QA. Different research work is spreading out for developing more efficient, time and space moderated way. QA can be done in three different ways: with the help of database, pattern matching and regular expression (RE). Database QA system depends on the availability of information in the database. Pattern matching needs mounding of patterns. RE can perform the task with the help of some RE patterns only. Our concern is doing QA on a specific domain Bangladesh Railway, using RE generation. Pattern matching with RE makes it easier to find a few needed strings from a big sentence or a set of strings. Answering in natural language after knowing its question pattern and mapping with accurate answer with the help of RE make our system efficient one.
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Domain Specific Factoid Question Answering by Regular Expression Generation
OpenAlex · Topic Modeling · 2020
Abstract
Answering questions through question answering (QA) system in natural language is highly acknowledged. Since 1960s, Artificial Intelligence (AI) supporting system is widely combined with QA. Different research work is spreading out for developing more efficient, time and space moderated way. QA can be done in three different ways: with the help of database, pattern matching and regular expression (RE). Database QA system depends on the availability of information in the database. Pattern matching needs mounding of patterns. RE can perform the task with the help of some RE patterns only. Our concern is doing QA on a specific domain Bangladesh Railway, using RE generation. Pattern matching with RE makes it easier to find a few needed strings from a big sentence or a set of strings. Answering in natural language after knowing its question pattern and mapping with accurate answer with the help of RE make our system efficient one.