Motoki Sano


2023

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PRESTO: A Multilingual Dataset for Parsing Realistic Task-Oriented Dialogs
Rahul Goel | Waleed Ammar | Aditya Gupta | Siddharth Vashishtha | Motoki Sano | Faiz Surani | Max Chang | HyunJeong Choe | David Greene | Chuan He | Rattima Nitisaroj | Anna Trukhina | Shachi Paul | Pararth Shah | Rushin Shah | Zhou Yu
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Research interest in task-oriented dialogs has increased as systems such as Google Assistant, Alexa and Siri have become ubiquitous in everyday life. However, the impact of academic research in this area has been limited by the lack of datasets that realistically capture the wide array of user pain points. To enable research on some of the more challenging aspects of parsing realistic conversations, we introduce PRESTO, a public dataset of over 550K contextual multilingual conversations between humans and virtual assistants. PRESTO contains a diverse array of challenges that occur in real-world NLU tasks such as disfluencies, code-switching, and revisions. It is the only large scale human generated conversational parsing dataset that provides structured context such as a user’s contacts and lists for each example. Our mT5 model based baselines demonstrate that the conversational phenomenon present in PRESTO are challenging to model, which is further pronounced in a low-resource setup.

2014

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Toward Future Scenario Generation: Extracting Event Causality Exploiting Semantic Relation, Context, and Association Features
Chikara Hashimoto | Kentaro Torisawa | Julien Kloetzer | Motoki Sano | István Varga | Jong-Hoon Oh | Yutaka Kidawara
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

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Million-scale Derivation of Semantic Relations from a Manually Constructed Predicate Taxonomy
Motoki Sano | Kentaro Torisawa | Julien Kloetzer | Chikara Hashimoto | István Varga | Jong-Hoon Oh
Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers

2013

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Two-Stage Method for Large-Scale Acquisition of Contradiction Pattern Pairs using Entailment
Julien Kloetzer | Stijn De Saeger | Kentaro Torisawa | Chikara Hashimoto | Jong-Hoon Oh | Motoki Sano | Kiyonori Ohtake
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing

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Aid is Out There: Looking for Help from Tweets during a Large Scale Disaster
István Varga | Motoki Sano | Kentaro Torisawa | Chikara Hashimoto | Kiyonori Ohtake | Takao Kawai | Jong-Hoon Oh | Stijn De Saeger
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

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Why-Question Answering using Intra- and Inter-Sentential Causal Relations
Jong-Hoon Oh | Kentaro Torisawa | Chikara Hashimoto | Motoki Sano | Stijn De Saeger | Kiyonori Ohtake
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)