Our QA system is constructed using methods of classical IR, enhanced with simple heuristics. It does not have natural language understanding capabilities, but employs simple pattern matching and statistics. We view QA as a three-step process: 1) retrieving a set of documents that are highly related to the topic of the question; 2) weighing sentences in this document set that are most likely to ...

The mutual experience of European architecture during the transmission phase of Romanesque (around 11th and 12th centuries) to Gothic style simultaneous with Mongol invasions and political revolution from Seljuk empire to Ilkhanids have been assumed as a turning point through Iranian and European architecture. Thus, clarifying its mutual properties is one of the controversial discussion topics ...

In this paper, a civil aviation travel question and answer (Q&A) method based on integrating knowledge graphs deep learning technology is proposed to establish highly efficient information Q&A platform quickly accurately obtain give corresponding answers passengers. the method, rule-based approach employed extract triads from acquired dataset construct graph. Then, ELECTRA-BiLSTM-CRF mo...

Machine comprehension of text is a significant problem in natural language processing today – in this project, we tackle machine reading comprehension as applied to question answering. Our goal is: given a question and a context paragraph, to extract from the paragraph the answer to the question. As an oracle, on the dataset we used, humans score over 86.8% accuracy (EM) on the test set for thi...

The aim of this research is a human-oriented spoken dialog system which provides replies to a variety of users’ utterances. The example-based response generation method searches a question and answer database (QADB) for the example question most similar to a user utterance. With this method, the system can answer a question difficult for a model to express. A QADB is constructed from question a...

Automated reading comprehension is an important problem in natural language processing. The Stanford Question Answering Dataset (SQuAD) is a convenient set of questions and crowdsourced answers to utilize for evaluation of QA systems. In this paper, we implement a version of an architecture proposed by Wang and Jiang (2016) based on match-LSTM [9], a model used for textual entailment, and answe...

introduction: considering the efficiency of active teaching methods, current study is designed to compare the effect of lecture and question-answer methods on learning outcome and satisfaction of physiology course among medical and pharmacy students. methods: in this semi-experimental study, medical and pharmacy students which have been registered in physiology course, divided randomly into two...