TASK DEFINITION: In this task, you will be presented with a context from an academic paper and you have to write an answerable question based on the context. Your questions can be extractive, abstractive, or yes-no questions.
PROBLEM: We compared our multi-turn emotionally engaging dialog model (denoted as MEED) with two baselines—the vanilla sequence-to-sequence model (denoted as S2S) and HRAN.

SOLUTION: What two baseline models are used?

PROBLEM: The neural machine translation was trained using Nematus. For the NMT system as well as for the PreMT system, we used the default configuration.

SOLUTION: Which NMT architecture do they use?

PROBLEM: We operationalized the question by submitting the chosen test data to the same vendor-based transcription pipeline that is used at Microsoft for production data (for model training and internal evaluation purposes), and then comparing the results to ASR system output under the NIST scoring protocol. 

SOLUTION:
what standard speech transcription pipeline was used?