Philip John Gorinski

According to our database, Philip John Gorinski authored at least 13 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

αVIL: Learning to Leverage Auxiliary Tasks for Multitask Learning.

Rafael Kourdis, Gabriel Gordon-Hall, Philip John Gorinski

CoRR, 2024

2023

The Regular Expression Inference Challenge.

Mojtaba Valizadeh, Philip John Gorinski, Ignacio Iacobacci, Martin Berger

CoRR, 2023

Graph Attention with Hierarchies for Multi-hop Question Answering.

Yunjie He, Philip John Gorinski, Ieva Staliunaite, Pontus Stenetorp

CoRR, 2023

Automatic Unit Test Data Generation and Actor-Critic Reinforcement Learning for Code Synthesis.

Philip John Gorinski, Matthieu Zimmer, Gerasimos Lampouras, Derrick-Goh-Xin Deik, Ignacio Iacobacci

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Relational Graph Convolutional Neural Networks for Multihop Reasoning: A Comparative Study.

Ieva Staliunaite, Philip John Gorinski, Ignacio Iacobacci

CoRR, 2022

Structured Q-learning For Antibody Design.

Alexander I. Cowen-Rivers, Philip John Gorinski, Aivar Sootla, Asif Khan, Furui Liu, Jun Wang, Jan Peters, Haitham Bou-Ammar

CoRR, 2022

2021

Improving Commonsense Causal Reasoning by Adversarial Training and Data Augmentation.

Ieva Staliunaite, Philip John Gorinski, Ignacio Iacobacci

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Show Us the Way: Learning to Manage Dialog from Demonstrations.

Gabriel Gordon-Hall, Philip John Gorinski, Gerasimos Lampouras, Ignacio Iacobacci

CoRR, 2020

Improving End-to-End Speech-to-Intent Classification with Reptile.

Yusheng Tian, Philip John Gorinski

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Learning Dialog Policies from Weak Demonstrations.

Gabriel Gordon-Hall, Philip John Gorinski, Shay B. Cohen

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Named Entity Recognition for Electronic Health Records: A Comparison of Rule-based and Machine Learning Approaches.

Philip John Gorinski, Honghan Wu, Claire Grover, Richard Tobin, Conn Talbot, Heather Whalley, Cathie Sudlow, William Whiteley, Beatrice Alex

CoRR, 2019

2018

What's This Movie About? A Joint Neural Network Architecture for Movie Content Analysis.

Philip John Gorinski, Mirella Lapata

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

2015

Movie Script Summarization as Graph-based Scene Extraction.

Philip John Gorinski, Mirella Lapata

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015