Title:
Question Answering, Event Knowledge, and other NLP Stuff: Forays into Reuse, Decomposition, and Control in Neural NLP Models
Question Answering, Event Knowledge, and other NLP Stuff: Forays into Reuse, Decomposition, and Control in Neural NLP Models
| dc.contributor.author | Balasubramanian, Niranjan | |
| dc.contributor.corporatename | Georgia Institute of Technology. Machine Learning | en_US |
| dc.contributor.corporatename | Stony Brook University. Dept. of Computer Science | en_US |
| dc.date.accessioned | 2020-01-22T17:36:13Z | |
| dc.date.available | 2020-01-22T17:36:13Z | |
| dc.date.issued | 2020-01-15 | |
| dc.description | Presented on January 15, 2020 at 12:15 p.m. in the Marcus Nanotechnology Building, Room 1116. | en_US |
| dc.description | Niranjan Balasubramanian is an Assistant Professor in the Computer Science department at Stony Brook University, where he heads the Language Understanding and Reasoning lab (LUNR). | en_US |
| dc.description | Runtime: 57:29 minutes | en_US |
| dc.description.abstract | In this three-part talk, I will present some of our recent efforts that aim to control and adapt neural models to work more effectively in target applications. The first part will focus on how to repurpose a pre-trained neural entailment model for multi-hop QA, and decomposing large QA models to run effectively on mobile devices. In the second part, I will present methods for learning structured latent spaces for better control in modeling and generating event sequences. In the third part, I will talk briefly about modeling target-side syntax for machine translation. | en_US |
| dc.format.extent | 57:29 minutes | |
| dc.identifier.uri | http://hdl.handle.net/1853/62387 | |
| dc.language.iso | en_US | en_US |
| dc.relation.ispartofseries | Machine Learning @ Georgia Tech (ML@GT) Seminar Series | |
| dc.subject | Natural language processing (NLP) | en_US |
| dc.subject | Neural models | en_US |
| dc.subject | Question answering | en_US |
| dc.title | Question Answering, Event Knowledge, and other NLP Stuff: Forays into Reuse, Decomposition, and Control in Neural NLP Models | en_US |
| dc.type | Moving Image | |
| dc.type.genre | Lecture | |
| dspace.entity.type | Publication | |
| local.contributor.corporatename | Machine Learning Center | |
| local.contributor.corporatename | College of Computing | |
| local.relation.ispartofseries | ML@GT Seminar Series | |
| relation.isOrgUnitOfPublication | 46450b94-7ae8-4849-a910-5ae38611c691 | |
| relation.isOrgUnitOfPublication | c8892b3c-8db6-4b7b-a33a-1b67f7db2021 | |
| relation.isSeriesOfPublication | 9fb2e77c-08ff-46d7-b903-747cf7406244 |
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