Object name search based on user's description in extraction and validation approach
Yuko Koba, Takayuki Yumoto, Manabu Nii, Yutaka Takahashi · 2010
People often want to know the names of the objects that they can explain but don't know the names. It is, however, difficult to find such object names using conventional Web search engines. So, we propose a new method for finding the object name from the descriptions given by a user. This method consists of two phases, the extraction phase and the validation phase. In the extraction phase, candidate words are extracted by conducting a Web search using a combination of the queries generated from the user's descriptions. In the validation phrase, each candidate word is validated through a Web search using the candidate word. We rank the candidate words based on the user's description. We evaluated our algorithm by performing several tasks to find the object names from questions in Q&A sites. We also compared it with the methods using queries consisting of all the words in the description and queries consisting of user-selected and user-generated words. The precision by our algorithm was higher than the precision by the other methods.