no code implementations • EMNLP 2020 • Bodhisattwa Prasad Majumder, Shuyang Li, Jianmo Ni, Julian McAuley
In this work, we perform the first large-scale analysis of discourse in media dialog and its impact on generative modeling of dialog turns, with a focus on interrogative patterns and use of external knowledge.
no code implementations • 5 May 2022 • Diego Antognini, Shuyang Li, Boi Faltings, Julian McAuley
Prior studies have used pre-trained language models, or relied on small paired recipe data (e. g., a recipe paired with a similar one that satisfies a dietary constraint).
1 code implementation • Findings (NAACL) 2022 • Shuyang Li, Mukund Sridhar, Chandana Satya Prakash, Jin Cao, Wael Hamza, Julian McAuley
Understanding human language often necessitates understanding entities and their place in a taxonomy of knowledge -- their types.
no code implementations • 9 Dec 2021 • Shuyang Li, Bodhisattwa Prasad Majumder, Julian McAuley
Conversational recommender systems offer the promise of interactive, engaging ways for users to find items they enjoy.
1 code implementation • 17 May 2021 • Shuyang Li, Yufei Li, Jianmo Ni, Julian McAuley
The large population of home cooks with dietary restrictions is under-served by existing cooking resources and recipe generation models.
no code implementations • EACL 2021 • Shuyang Li, Jin Cao, Mukund Sridhar, Henghui Zhu, Shang-Wen Li, Wael Hamza, Julian McAuley
Dialog State Tracking (DST), an integral part of modern dialog systems, aims to track user preferences and constraints (slots) in task-oriented dialogs.
3 code implementations • 16 May 2020 • Huanru Henry Mao, Shuyang Li, Julian McAuley, Garrison Cottrell
Speech recognition (ASR) and speaker diarization (SD) models have traditionally been trained separately to produce rich conversation transcripts with speaker labels.
no code implementations • 7 Apr 2020 • Bodhisattwa Prasad Majumder, Shuyang Li, Jianmo Ni, Julian McAuley
Compared to existing large-scale proxies for conversational data, language models trained on our dataset exhibit better zero-shot out-of-domain performance on existing spoken dialog datasets, demonstrating its usefulness in modeling real-world conversations.
1 code implementation • IJCNLP 2019 • Bodhisattwa Prasad Majumder, Shuyang Li, Jianmo Ni, Julian McAuley
Existing approaches to recipe generation are unable to create recipes for users with culinary preferences but incomplete knowledge of ingredients in specific dishes.
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