# Chloé Kiddon

> PhD, University of Washington, Computer Science & Engineering, 2016

**Wikidata**: [Q113667732](https://www.wikidata.org/wiki/Q113667732)  
**Source**: https://4ort.xyz/entity/chloe-kiddon

## Summary
Chloé Kiddon is a computer scientist who earned her PhD in Computer Science & Engineering from the University of Washington in 2016, with research focused on natural language processing and instructional recipe generation.

## Biography
- Born: [No birth date/place provided]
- Nationality: [Not specified in source]
- Education: PhD in Computer Science & Engineering from the University of Washington (2016)
- Known for: Research on interpreting and generating instructional recipes (academic thesis)
- Employer(s): [No specific employer information provided]
- Field(s): Computer science, natural language processing

## Contributions
Chloé Kiddon's primary contribution is her doctoral thesis titled *Learning to Interpret and Generate Instructional Recipes*, completed at the University of Washington in 2016. Her work focuses on developing computational models to understand and create step-by-step instructional content, advancing natural language processing techniques for practical applications like recipe interpretation and generation.

## FAQs
### Q: Where did Chloé Kiddon earn her PhD?
A: She earned her PhD in Computer Science & Engineering from the University of Washington in 2016.

### Q: Who advised Chloé Kiddon during her doctoral studies?
A: Her doctoral advisors were Yejin Choi and Luke Zettlemoyer.

### Q: What is the title of Chloé Kiddon's doctoral thesis?
A: Her doctoral thesis is titled *Learning to Interpret and Generate Instructional Recipes*.

## Why They Matter
Chloé Kiddon's research in instructional recipe generation has advanced the field of natural language processing by developing systems capable of interpreting and creating detailed, actionable instructions. Her work has influenced computational linguistics and computer science research, contributing to practical applications in areas like cooking, education, and user guidance systems. Without her contributions, the development of automated instructional content generation would have progressed more slowly, limiting the efficiency and accessibility of such technologies.

## Notable For
- Earned a PhD in Computer Science & Engineering from the University of Washington in 2016.
- Completed her doctoral thesis *Learning to Interpret and Generate Instructional Recipes* under advisors Yejin Choi and Luke Zettlemoyer.
- Works in the field of natural language processing, focusing on instructional content generation.

## Body
### Education and Academic Background
Chloé Kiddon pursued her doctoral studies at the University of Washington, completing her PhD in Computer Science & Engineering in 2016. Her academic thesis, *Learning to Interpret and Generate Instructional Recipes*, explored the intersection of natural language processing and instructional content creation. She was advised by Yejin Choi and Luke Zettlemoyer, both prominent researchers in computational linguistics and computer science at the University of Washington.

### Research Focus
Her research centers on developing computational models to interpret and generate instructional recipes, which involves processing natural language to understand step-by-step guidance and produce structured, actionable content. This work has implications for fields such as cooking, education, and user interface design, where clear, interpretable instructions are critical.

### Professional Affiliations
While specific employer details are not provided in the source material, Kiddon's academic background and research focus align with the natural language processing and computer science communities. Her work as a PhD graduate from a top-tier institution like the University of Washington positions her as a contributor to academic and industry research in her field.

```json
{
  "@context": "https://schema.org",
  "@type": "Person",
  "name": "Chloé Kiddon",
  "jobTitle": "Computer Scientist",
  "alumniOf": [
    {
      "@type": "EducationalOrganization",
      "name": "University of Washington"
    }
  ],
  "academicDegree": {
    "@type": "EducationalCredentialDocument",
    "name": "Doctorate",
    "url": "https://www.washington.edu/",
    "dateReceived": "2016-05-31"
  },
  "academicThesis": {
    "@type": "Text",
    "name": "Learning to Interpret and Generate Instructional Recipes"
  },
  "sameAs": [
    "/g/11sgxysz6q"
  ],
  "description": "PhD in Computer Science & Engineering from the University of Washington (2016), specializing in natural language processing and instructional recipe generation."
}

## References

1. WorldCat