Natural Language Processing
Lead Research Organisation:
Imperial College London
Department Name: Computing
Abstract
Exploring reasoning capabilities in digital assistants, aptly titled, Reasoning in Digital Assistants. In this project I research the addition of reasoning capabilities
in the context of digital assistants in order to answer questions beyond basic information retrieval
in the context of digital assistants in order to answer questions beyond basic information retrieval
Organisations
Studentship Projects
| Project Reference | Relationship | Related To | Start | End | Student Name |
|---|---|---|---|---|---|
| EP/N509486/1 | 01/10/2016 | 31/03/2022 | |||
| 1981060 | Studentship | EP/N509486/1 | 01/10/2017 | 31/03/2021 | Nuri Cingillioglu |
| Description | We have discovered that state-of-the-art deep learning techniques are able to learn how to perform logical reasoning. Formal reasoning consists of manipulation of symbols such as names Alice, Bob and relations between them mother, parent. Our approach started with no background knowledge and only through seeing examples of deductive reasoning, the neural network approach was able to learn multi-step inference. |
| Exploitation Route | There is an active interest in creating deep learning systems that have foundations in formal reasoning such as logic. Thus, we have seen interest from private companies to collaborate with applications ranging from data-efficient reinforcement learning and query answering in noisy natural language sources. |
| Sectors | Digital/Communication/Information Technologies (including Software) |
| Description | We have approached by colleagues in DeepMind with the interest of incorporate and further researching the subject matter. |
| First Year Of Impact | 2019 |
| Sector | Digital/Communication/Information Technologies (including Software) |