Based on some improvements mentioned in the description, how can DeepQA be adapted to community QA learning? As an example: Q: SentenceA. --> A: Sentence1. Sentence2. Sentence3. Sentence4. Sentence5. Would it be fine if this is modeled as Q: SentenceA. --> A: Sentence1. Sentence2. Sentence3. Sentence4. Sentence5. or better to be modeled as oversampled examples in this way:
Q: SentenceA. --> A: Sentence1. Sentence2.Q: SentenceA. --> A: Sentence2. Sentence3.Q: SentenceA. --> A: Sentence3. Sentence4.Q: SentenceA. --> A: Sentence4. Sentence5.Q: SentenceA. --> A: Sentence2. Sentence3. Sentence4....
Hi,
Based on some improvements mentioned in the description, how can DeepQA be adapted to community QA learning? As an example:
Q: SentenceA. --> A: Sentence1. Sentence2. Sentence3. Sentence4. Sentence5.
Would it be fine if this is modeled asQ: SentenceA. --> A: Sentence1. Sentence2. Sentence3. Sentence4. Sentence5.
or better to be modeled as oversampled examples in this way:Q: SentenceA. --> A: Sentence1. Sentence2.
Q: SentenceA. --> A: Sentence2. Sentence3.
Q: SentenceA. --> A: Sentence3. Sentence4.
Q: SentenceA. --> A: Sentence4. Sentence5.
Q: SentenceA. --> A: Sentence2. Sentence3. Sentence4.
...
Thanks.