An information processing apparatus includes a selector and an extending unit. The selector selects a word in question training data corresponding to a topic. The extending unit extends the question training data by replacing the word selected by the selector in the question training data by a word in answer data corresponding to the topic.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. An information processing apparatus comprising: a selector that selects a word in question training data corresponding to a topic; and an extending unit that extends the question training data by replacing the word selected by the selector in the question training data by a word in answer data corresponding to the topic. 2. The information processing apparatus according to claim 1, further comprising: a generator that generates a learning model, which is used for answering a question, by performing machine learning with the use of the question training data extended by the extending unit. 3. The information processing apparatus according to claim 2, further comprising: an extracting unit that extracts answer data for a question by using the learning model generated by the generator; and a presenting unit that presents the answer data extracted by the extracting unit to a user. 4. The information processing apparatus according to claim 1, further comprising: an excluding unit that excludes an unnatural sentence from the question training data extended by the extending unit. 5. The information processing apparatus according to claim 1, further comprising: an adjusting unit that adjusts the number of items of question training data so that a difference in the number of items of question training data among topics will be equal to or smaller than a predetermined threshold. 6. An information processing method comprising: selecting a word in question training data corresponding to a topic; and extending the question training data by replacing the selected word in the question training data by a word in answer data corresponding to the topic. 7. A non-transitory computer readable medium storing a program causing a computer to execute a process, the process comprising: selecting a word in question training data corresponding to a topic; and extending the question training data by replacing the selected word in the question training data by a word in answer data corresponding to the topic.