Фактоид Сұрақ-Жауап

In this paper we report our work on a factoid question answering task that avoids named- entity recognition tool in the answer selection process. We use semantic analogical reason- ing …...

Text classification methods for tasks like factoid question answering typi- cally use manually defined string match- ing rules or bag of words representa- tions. These methods are ineffective when question …...

We present a semi-automated framework for constructing factoid question answering (QA) datasets, where an array of question character- istics are formalized, including structure com- plexity, function, commonness, answer cardi- nality, …...

AbstractFactoid question answering (QA) has recently benefited from the development of deep learning (DL) systems. Neural network models outperform traditional approaches in domains where large datasets exist, such as SQuAD …...

AbstractWhile there has been substantial progress in text comprehension through simple factoid question answering, more holistic comprehension of a discourse still presents a major challenge (Dunietz et al., 2020). Someone …...