Karl Pichotta


2019

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Benchmarking Hierarchical Script Knowledge
Yonatan Bisk | Jan Buys | Karl Pichotta | Yejin Choi
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)

Understanding procedural language requires reasoning about both hierarchical and temporal relations between events. For example, “boiling pasta” is a sub-event of “making a pasta dish”, typically happens before “draining pasta,” and requires the use of omitted tools (e.g. a strainer, sink...). While people are able to choose when and how to use abstract versus concrete instructions, the NLP community lacks corpora and tasks for evaluating if our models can do the same. In this paper, we introduce KidsCook, a parallel script corpus, as well as a cloze task which matches video captions with missing procedural details. Experimental results show that state-of-the-art models struggle at this task, which requires inducing functional commonsense knowledge not explicitly stated in text.

2016

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Using Sentence-Level LSTM Language Models for Script Inference
Karl Pichotta | Raymond J. Mooney
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

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Statistical Script Learning with Recurrent Neural Networks
Karl Pichotta | Raymond Mooney
Proceedings of the Workshop on Uphill Battles in Language Processing: Scaling Early Achievements to Robust Methods

2014

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Statistical Script Learning with Multi-Argument Events
Karl Pichotta | Raymond Mooney
Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics

2013

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Identifying Phrasal Verbs Using Many Bilingual Corpora
Karl Pichotta | John DeNero
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing