37 citations · 122 across the 29 of their papers we have counts for
7 papers · 1 filter
Bipartite-play Dialogue Collection for Practical Automatic Evaluation of Dialogue Systems
Shiki Sato, Yosuke Kishinami, Hiroaki Sugiyama +3
Automation of dialogue system evaluation is a driving force for the efficient development of dialogue systems. This paper introduces the bipartite-play method, a dialogue collectio…
Domain Adaptation of Machine Translation with Crowdworkers
Makoto Morishita, Jun Suzuki, Masaaki Nagata
Although a machine translation model trained with a large in-domain parallel corpus achieves remarkable results, it still works poorly when no in-domain data are available. This si…
Target-Guided Open-Domain Conversation Planning
Yosuke Kishinami, Reina Akama, Shiki Sato +3
Prior studies addressing target-oriented conversational tasks lack a crucial notion that has been intensively studied in the context of goal-oriented artificial intelligence agents…
N-best Response-based Analysis of Contradiction-awareness in Neural Response Generation Models
Shiki Sato, Reina Akama, Hiroki Ouchi +3
Avoiding the generation of responses that contradict the preceding context is a significant challenge in dialogue response generation. One feasible method is post-processing, such…
B2T Connection: Serving Stability and Performance in Deep Transformers
Sho Takase, Shun Kiyono, Sosuke Kobayashi +1
From the perspective of the layer normalization (LN) positions, the architectures of Transformers can be categorized into two types: Post-LN and Pre-LN. Recent Transformers tend to…
Diverse Lottery Tickets Boost Ensemble from a Single Pretrained Model
Sosuke Kobayashi, Shun Kiyono, Jun Suzuki +1
Ensembling is a popular method used to improve performance as a last resort. However, ensembling multiple models finetuned from a single pretrained model has been not very effectiv…