hat extracts semantic (語義的) information from the pixels of photos in Web pages. This information is used to enrich the description of the HTML page used by search engines for document retrieval. The researchers tested their approach using more than 600 search queries (查詢)on a database of 50 million Web pages. They selected the text-retrieval search engine with the best performance and modified it to make use of the additional semantic information extracted by their method from the pictures of the Web pages. They found that this proced a 30 percent improvement in precision over the original search engine purely based on text.
23. Paragraph 1 ____
24. Paragraph 2 ____
25. Paragraph 3 ____
26. Paragraph 4 ____
A. Function of the new system
B. Improvement in document retrieval
C. Publication of the new dis買粉絲very
D. Problems of the existing search engines
E. Popularity of the new system
F. Artificial intelligence software created
27. The new system does document retrieval by ____.
28. The new system is expected to improve precision in ____.
29. When performing document retrieval the existing search engines ignore __ __
30. The new system was found more effective in document search than the ____
A. using photos
B. description of the HTML page
C. current popular search engines
D. document search
E. information in images
F. machine vision systems
參考答案:第3部分:概括大意與完成句子(第23—30題,每題1分,共8分)
23-26. F A D B
27-30.A D E C