---
title: 'Research Journal'
disqus: hackmd
---

Research Journal
===
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## Table of Contents

[TOC]

## Principle
1. What have I done/read?
2. Problems encountered and solutions tried
3. What is my plan for the coming week?
## November //unorganized
### Week4

### Week3

### Week2
1. Transformer
### Week1
1. FLAT
## October //unorganized
### Week4
1. Word2vector/tf-idf
### Week3
1. Microsoft presidio
### Week2
1. stanford ner tagging
### Week1
1. n-gram/spacy

## September

### Week4
1. Paper read:
-- [Data Augmentation using Machine Translation for Fake News Detection in the Urdu Language](https://drive.google.com/file/d/1924Yb-BBqvvW2HvegSDcb4eeOZUUtCaE/view?usp=sharing)
- [Slides](https://docs.google.com/presentation/d/1lWOdyJIA86JIrCoAPMf4j3Z2O9VZr28uMPLHGIzz96I/edit?usp=sharing)

2. Problem:
-- Struggled with coming up a plan after the paper list has been read. My recent idea is to read some papers about the state-of-the-art techinique/methodology in the field of NLP.(Berts, conformer, GPT_3 and more)
3. Plans:
-- Keep reading the paper from the paper list created in the misinformation study group.
---
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Feature: Guess the word

  # The first example has two steps
  Scenario: Maker starts a game
    When the Maker starts a game
    Then the Maker waits for a Breaker to join

  # The second example has three steps
  Scenario: Breaker joins a game
    Given the Maker has started a game with the word "silky"
    When the Breaker joins the Maker's game
    Then the Breaker must guess a word with 5 characters

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> I choose a lazy person to do a hard job. Because a lazy person will find an easy way to do it. [name=Bill Gates]

> Read more about Gherkin here: [hi](https://docs.cucumber.io/gherkin/reference/)
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### Week 3
1. [Towards Measuring Adversarial Twitter Interactions against Candidates in the US Midterm Elections](https://drive.google.com/file/d/1s0wS3pPDb0wjsI2OfYUmiK_w8F76JuzM/view?usp=sharing)
- [Slides](https://docs.google.com/presentation/d/1oiIcyNjl5MQlblmLgv5q0ARKLIwsoMk_e-Hc3FisJlc/edit?usp=sharing)
---
### Week 2
1. [L. Cui and D. Lee. Coaid- Covid-19 healthcare misinformation dataset. arXiv, 2020](https://drive.google.com/file/d/1MwZTsQBslXYgEJfDbIpkFii8dTyY88FO/view?usp=sharing)
- [Slides](https://docs.google.com/presentation/d/1hEwpeaFrWSbOHThRTpWyFiJ-uepAKgjFmVUZIMPflLo/edit?usp=sharing)
---
### Week 1
1. [Updates in Human-AI Teams: Understanding and Addressing the Performance/Compatibility Tradeoff](https://drive.google.com/file/d/1HXbPl2qOmzgX7C9E5FbQJ9c20-BEewO2/view?usp=sharing)
- [Slides](https://docs.google.com/presentation/d/1np2cQMRY-LbFyWHeo6jOTmnrIfkUUSpMw7tVVc6oW5Q/edit?usp=sharing)
---
Project Timeline
---

gantt
    title Misinformation Study
    axisFormat  %Y-%m
    section Paper study
    Paper list Reading           :a1, 2021-08-01, 90d
    Create another list(NLP)    :after a1  , 100d
    

## Appendix and FAQ

:::info
**Please leave any advice!** Thanks for your help!
:::

###### tags: `Research` `Documentation` `Journal`