Papers by Joel Grus

2 papers
Reasoning about Actions and State Changes by Injecting Commonsense Knowledge (D18-1)

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Challenge: Recent work has shown impressive progress in comprehending procedural text, but their predictions can be inconsistent or highly improbable.
Approach: They propose to incorporate global constraints and bias reading with corpora-based preferences to improve the predicted effects of actions in a paragraph.
Outcome: The proposed model significantly outperforms earlier models on a benchmark dataset for procedural text comprehension (+8% relative gain) it avoids nonsensical predictions that earlier models make, and it is more robust than previous models.
Writing Code for NLP Research (D18-3)

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Challenge: upcoming workshop on open source software for NLP aims to share best practices for writing code for Nl research . participants will learn how to write research code that facilitates good science and easy experimentation .
Approach: this tutorial aims to share best practices for writing code for NLP research . participants will learn how to write research code that facilitates good science and easy debugging .
Outcome: the workshop on open source software for NLP aims to share best practices for writing code for Nl research . participants will learn how to write research code that facilitates good science and easy experimentation .

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