中英文的文字蘊涵與閱讀測驗的初步探索 (An Exploration of Textual Entailment and Reading Comprehension for Chinese and English) [In Chinese]

Research on text entailment studies the logical relationships between statements. We employed linguistic information at the lexical, syntactic, and semantic levels to build heuristics and machine-learning based models for algorithmic judgment of text entailment relationships. Methods proposed in this paper achieved relatively very good performances in the RITE task for both traditional and simplified Chinese entailment problems in NTCIR-10. We extended our work and attempted to automatically answer questions in reading comprehension tests in Chinese and English used in elementary and middle schools. To make the automatic answering more feasible, we manually selected statements which were relevant to the test items before we ran the text entailment component. Experimental results indicated that it was then possible to find the answers better than 50% of the time for one out of four multiple-choice items.