Papers by Walter F. Tichy
Programming in Natural Language with fuSE: Synthesizing Methods from Spoken Utterances Using Deep Natural Language Understanding (2020.acl-main)
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| Challenge: | a new approach to teach new functions from natural language is needed to make intelligent systems programmable in everyday language. |
| Approach: | They propose to use natural language to teach intelligent systems new functions . fuSE synthesizes method signatures and API calls from spoken utterances . |
| Outcome: | The proposed system synthesizes 84.6% of method signatures and 79.2% of API calls correctly on unseen dataset. |