Extractive Headline Generation Based on Learning to Rank for Community Question Answering (C18-1)
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| Challenge: | Community question answering (CQA) forums do not always have appropriate headlines because of user-generated content. |
| Approach: | They propose an extractive headline generation method that extracts the most informative substring from each question as its headline. |
| Outcome: | The proposed method outperforms baselines including a prefix-based method . it uses the prefix of a question as its headline to create the most informative substring . |
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