Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: At the NTCIR-6 CLQA (Cross-Language Question Ansring) task,  participated in the Chinese-Chinese (C-C) and English-Chinese (E-C) QA (Question Ansring) subtasks. Without employing question type classification,  proposed a new resource, Wikipedia, to assist in extracting and ranking Question-Focused terms.  regarded the titles of Wikipedia articles as a multilingual noun-phrase corpus which is useful in QA systems. Experimental results shod that better performance was achieved for questions with type PERSON or LOCATION. Besides,  used an online MT (Machine Translation) system to deal with question translation in our CLQA task.
['Yi-Che Chan', 'Kuan-Hsi Chen', 'Wen-Hsiang Lu']
I am writing a research paper on a idea Extracting and Ranking Question-Focused Terms Using the Titles of Wikipedia Articles
[{"from": "human", "value": "I am writing a research paper on a idea Extracting and Ranking Question-Focused Terms Using the Titles of Wikipedia Articles"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: At the NTCIR-6 CLQA (Cross-Language Question Ansring) task,  participated in the Chinese-Chinese (C-C) and English-Chinese (E-C) QA (Question Ansring) subtasks. Without employing question type classification,  proposed a new resource, Wikipedia, to assist in extracting and ranking Question-Focused terms.  regarded the titles of Wikipedia articles as a multilingual noun-phrase corpus which is useful in QA systems. Experimental results shod that better performance was achieved for questions with type PERSON or LOCATION. Besides,  used an online MT (Machine Translation) system to deal with question translation in our CLQA task."}]