Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Abstract   Working with corpus construction becomes an interesting alternative to different applications of natural language processing, such as, question-ansring, machine translation, information retrieval, etc. Similarly, with the heterogeneous data and the user demands for the accurate information, many studies have accentuated the need of the b to highlight the corpus construction. As ll as, Arabic doesn’t have an equivalent number of linguistic corpuses as compared to other languages like English. ,  focus on building our corpus of Arab questions-texts.  present a method for recovering text passages. This method is based on a real automatic interrogation of Google, in order to generate passages of texts and ansr the factual questions. The first part of this paper describes the formal details about this method; the second part presents some experiments and results that validate our method.
['Wided Bakari', 'Patrice Bellot', 'Mahmoud Neji']
I am writing a research paper on a idea AQA-WebCorp: Web-based Factual Questions for Arabic☆
[{"from": "human", "value": "I am writing a research paper on a idea AQA-WebCorp: Web-based Factual Questions for Arabic\u2606"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Abstract   Working with corpus construction becomes an interesting alternative to different applications of natural language processing, such as, question-ansring, machine translation, information retrieval, etc. Similarly, with the heterogeneous data and the user demands for the accurate information, many studies have accentuated the need of the b to highlight the corpus construction. As ll as, Arabic doesn\u2019t have an equivalent number of linguistic corpuses as compared to other languages like English. ,  focus on building our corpus of Arab questions-texts.  present a method for recovering text passages. This method is based on a real automatic interrogation of Google, in order to generate passages of texts and ansr the factual questions. The first part of this paper describes the formal details about this method; the second part presents some experiments and results that validate our method."}]