| 2019 | EMNLP | Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset. | Bill Byrne, Karthik Krishnamoorthi, Chinnadhurai Sankar, Arvind Neelakantan, Ben Goodrich, Daniel Duckworth, Semih Yavuz, Amit Dubey, Kyu-Young Kim, Andy Cedilnik |
| 2017 | EACL | Chains of Reasoning over Entities, Relations, and Text using Recurrent Neural Networks. | Rajarshi Das, Arvind Neelakantan, David Belanger, Andrew McCallum |
| 2017 | EACL | Generalizing to Unseen Entities and Entity Pairs with Row-less Universal Schema. | Patrick Verga, Arvind Neelakantan, Andrew McCallum |
| 2017 | ICLR | Learning a Natural Language Interface with Neural Programmer. | Arvind Neelakantan, Quoc V. Le, Martn Abadi, Andrew McCallum, Dario Amodei |
| 2015 | ACL | Compositional Vector Space Models for Knowledge Base Completion. | Arvind Neelakantan, Benjamin Roth, Andrew McCallum |
| 2015 | NAACL | Inferring Missing Entity Type Instances for Knowledge Base Completion: New Dataset and Methods. | Arvind Neelakantan, Ming-Wei Chang |
| 2014 | EACL | Learning Dictionaries for Named Entity Recognition using Minimal Supervision. | Arvind Neelakantan, Michael Collins |
| 2014 | EMNLP | Efficient Non-parametric Estimation of Multiple Embeddings per Word in Vector Space. | Arvind Neelakantan, Jeevan Shankar, Alexandre Passos, Andrew McCallum |