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Recent work in semantic parsing for question answering has focused on longand complicated questions, many of which would seem unnatural if asked in anormal conversation between two humans. In an effort to explore aconversational QA setting, we present a more realistic task: answeringsequences of simple but inter-related questions. We collect a dataset of 6,066question sequences that inquire about semi-structured tables from Wikipedia,with 17,553 question-answer pairs in total. Existing QA systems face two majorproblems when evaluated on our dataset: (1) handling questions that containcoreferences to previous questions or answers, and (2) matching words orphrases in a question to corresponding entries in the associated table. Weconclude by proposing strategies to handle both of these issues.

Answering Complicated Question Intents Expressed in Decomposed Question Sequences