| Challenge: | a tutorial will explore the intersection of programming and natural language to make this goal a reality . |
| Approach: | This tutorial will focus on machine learning models of programs and natural language . it will discuss similarities and differences between programming and natural languages . |
| Outcome: | This tutorial will discuss the intersection of programming and natural language . it will cover automatic explanation of programs in natural language and automatic generation of programs from natural language specifications . |
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| Challenge: | Language models have shown impressive abilities in a range of natural language processing tasks. |
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A Survey on Natural Language Processing for Programming (2024.lrec-main)
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| Challenge: | Natural language processing for programming is a field of NLP and software engineering . it is used to assist programming, and is increasingly prevalent for its effectiveness in improving productivity. |
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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. |
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| Challenge: | This tutorial will cover how to conduct human-in-the-loop usability evaluations to ensure that models are capable of interacting with humans. |
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Natural Language Annotations for Reasoning about Program Semantics (2023.findings-emnlp)
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Event-Centric Natural Language Processing (2021.acl-tutorials)
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| Challenge: | This tutorial will provide an introduction to various methods for automating the extraction, conceptualization and prediction of events and their relations. |
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| Challenge: | In this tutorial, we will outline the various types of commonsense knowledge and discuss techniques to gather and represent commonsence knowledge. |
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