Improved Deep Learning Baselines for Ubuntu Corpus Dialogs

13 Oct 2015Rudolf KadlecMartin SchmidJan Kleindienst

This paper presents results of our experiments for the next utterance ranking on the Ubuntu Dialog Corpus -- the largest publicly available multi-turn dialog corpus. First, we use an in-house implementation of previously reported models to do an independent evaluation using the same data... (read more)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Conversational Response Selection Ubuntu Dialogue (v1, Ranking) Dual-BiLSTM [email protected] 0.630 # 13
[email protected] 0.780 # 12
[email protected] 0.944 # 12
[email protected] 0.895 # 11

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