Named Entity Recognition (NER) plays a significant role in enhancing the performance of all types of domain specific applications in Natural Language Processing (NLP). According to …
Question generation is an important task in natural language processing that involves generating questions from a given text. This paper proposes a novel approach for dynamic …
Natural Language Processing (NLP) has been in practice for the past couple of decades, and extensive work has been done for the Western languages, particularly the English …
Question answering (QA) system in any language is an assortment of mechanisms for obtaining answers to user questions with various data compositions. Reading …
Reading comprehension involves the process of reading and understanding textual information in order to answer questions related to it. It finds practical applications in various …
Question generation (QG), the task of generating questions from text or other forms of data, a significant and challenging subject, has recently attracted more attention in natural language …
SK-QuAD is the first manually annotated dataset of questions and answers in Slovak. It consists of more than 91k factual questions and answers from various fields. Each question …
High-resource languages, such as English, have access to a plethora of datasets with various question-answer types resembling real-world reading comprehension. However …
Task-oriented dialogue systems (DS) are designed to help users perform daily activities using natural language. Task-oriented DS for English language have demonstrated …