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Search platform for open-source debate evidence.

Home Page: https://logos-debate.netlify.app/

TypeScript 81.66% SCSS 16.05% JavaScript 2.28%

logos-web's Introduction

Hi there, I'm Tyler ๐Ÿ‘‹

About Me

  • ๐ŸŽ“ Pursuing a master's in computer science at Dartmouth College, researching large language and generative audio models. Graduated last year with a bachelor's degree in computer science.
  • ๐Ÿ’ผ Software Engineer at CivicBell, where I lead a team to create impactful civic engagement solutions.
  • ๐ŸŒฑ Iโ€™m currently diving deep into generative AI, exploring the intersections of machine learning, creativity, and human-computer interaction.
  • ๐Ÿš€ Previous experience includes software engineering internships at AWS (the DynamoDB Streams team) and Canopy, an SF-based startup. I also work part-time as a freelancer, where I've built sites for organizations like TroutRoutes and the Dartmouth IDEA Lab.

My Tech Stack

Languages

Python TypeScript JavaScript HTML5 CSS3 SQL Java Rust

Frameworks & Libraries

React React Native Express.js Node.js Flask Ruby on Rails Jest PyTorch TensorFlow

Tools & Platforms

AWS Google Cloud Docker PostgreSQL MongoDB Git CUDA

Let's Connect!

Always open to new challenges and collaborations!

logos-web's People

Contributors

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Stargazers

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logos-web's Issues

Research opportunity - Argument mining

Hey! Also reached out via email, but wanted to ping here for extra visibility.

logos-web and ai-card-cutting are absolutely awesome projects!

Today, we released a semantic search engine over the DebateSum dataset (with some improvements) over at vault.arguflow.ai - it's fully open source - and are now looking to make a publication about it and the OpenDebateEvidence dataset.

The current plan is to submit to ARGMIN which is a workshop at EMNLP (2nd highest ranked NLP conference on google scholar).

Would you be willing to meet and talk about it? - arguflow.ai/meet

Use array types for highlights and emphasis

Great project! I wish I had something similar when I was debating.

In types.ts, it looks like you're using 1-tuples of 3-tuples to model rich text annotations:

emphasis: [[number, number, number]],

But from inspecting the API response, it looks like the intent is to model highlights as an array of 3-tuples:
image

I believe the current types conflate syntax for tuples and arrays:

  • T[] or Array<T> denotes an array of T
  • [T] denotes a 1-tuple with member T (see TypeScript docs on Arrays)

In this case, it may be more appropriate to model these types as arrays of 3-tuples:

export type Card = {
  โ€ฆ
  body: string[],
  emphasis: [number, number, number][], // or Array<[number, number, number]>
  highlights: [number, number, number][],
  underlines: [number, number, number][],
  cite_emphasis?: [number, number][],
  โ€ฆ
}

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