scholar.google.com › citations
Aug 4, 2017 · In this paper, an ontology and semantic grammar enabled QA method is presented, experimental results show that this method has higher accuracy ...
Problem statement: Question Answering (QA) system is taking an important role in current search engine optimization concept. Natural language processing ...
Restricted domain question answering (QA) system is a hotspot in the natural language processing area. Correct understanding of the users' intentions.
Restricted domain question answering (QA) system is a hotspot in the natural language processing area. Correct understanding of the users＇ intentions is ...
The question answering system using the constraint of the present invention includes a processor and a memory in which at least one instruction executed ...
In this paper, we present a technique that uses semantic constraints to improve a reformulation-based question answering system. The objective of the ...
People also search for
Sep 20, 2023 · This paper proposes a grammar-based semantic parser for knowledge-based question answering. The grammars are specialized with fine-grained ...
People also ask
What are the types of question answering systems?
What is rule based question answering system for reading comprehension tests?
For example, KBQG can improve factoid-based question answering (QA) systems by either dual training of. QA and QG or by data augmentation for training corpora.
[PDF] A Semantic Approach for Question Analysis - Dat Quoc Nguyen
datquocnguyen.github.io › resources
The goal of question answering systems is to give answers to the user's questions instead of ranked lists of related documents as used by most current search.
A knowledge-based question-answering system (KB-QA) is one that answers natural language questions with information stored in a large-scale knowledge base (KB).
Missing: Grammar | Show results with:Grammar