Search Results for author: Jacob Anderson

Found 3 papers, 1 papers with code

Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks

7 code implementations • 16 Apr 2022 • Yizhong Wang, Swaroop Mishra, Pegah Alipoormolabashi, Yeganeh Kordi, Amirreza Mirzaei, Anjana Arunkumar, Arjun Ashok, Arut Selvan Dhanasekaran, Atharva Naik, David Stap, Eshaan Pathak, Giannis Karamanolakis, Haizhi Gary Lai, Ishan Purohit, Ishani Mondal, Jacob Anderson, Kirby Kuznia, Krima Doshi, Maitreya Patel, Kuntal Kumar Pal, Mehrad Moradshahi, Mihir Parmar, Mirali Purohit, Neeraj Varshney, Phani Rohitha Kaza, Pulkit Verma, Ravsehaj Singh Puri, Rushang Karia, Shailaja Keyur Sampat, Savan Doshi, Siddhartha Mishra, Sujan Reddy, Sumanta Patro, Tanay Dixit, Xudong Shen, Chitta Baral, Yejin Choi, Noah A. Smith, Hannaneh Hajishirzi, Daniel Khashabi

This large and diverse collection of tasks enables rigorous benchmarking of cross-task generalization under instructions -- training models to follow instructions on a subset of tasks and evaluating them on the remaining unseen ones.

Benchmarking Instruction Following

895

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Sentim at SemEval-2019 Task 3: Convolutional Neural Networks For Sentiment in Conversations

no code implementations • SEMEVAL 2019 • Jacob Anderson

In this work convolutional neural networks were used in order to determine the sentiment in a conversational setting.

Clustering

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Fully Convolutional Networks for Text Classification

no code implementations • 14 Feb 2019 • Jacob Anderson

In this work I propose a new way of using fully convolutional networks for classification while allowing for input of any size.

General Classification text-classification +1

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