Search Results for author: Joongwon Kim

Found 4 papers, 1 papers with code

TaskWeb: Selecting Better Source Tasks for Multi-task NLP

no code implementations22 May 2023 Joongwon Kim, Akari Asai, Gabriel Ilharco, Hannaneh Hajishirzi

TaskShop uses TaskWeb to estimate the benefit of using a source task for learning a new target, and to choose a subset of helpful training tasks for multi-task learning.

Multi-Task Learning

Induce, Edit, Retrieve:Language Grounded Multimodal Schema for Instructional Video Retrieval

no code implementations17 Nov 2021 Yue Yang, Joongwon Kim, Artemis Panagopoulou, Mark Yatskar, Chris Callison-Burch

Schemata are structured representations of complex tasks that can aid artificial intelligence by allowing models to break down complex tasks into intermediate steps.

Retrieval Video Retrieval

BiSECT: Learning to Split and Rephrase Sentences with Bitexts

1 code implementation EMNLP 2021 Joongwon Kim, Mounica Maddela, Reno Kriz, Wei Xu, Chris Callison-Burch

We categorize examples in our corpus, and use these categories in a novel model that allows us to target specific regions of the input sentence to be split and edited.

Machine Translation Split and Rephrase +1

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