A repo for open resources & information for people to succeed in PhD in CS & career in AI / NLP

Overview

Resources to Help Global Equality for PhDs in NLP / AI

This repo originates with a wish to promote Global Equality for people who want to do a PhD in NLP, following the idea that mentorship programs are an effective way to fight against segregation, according to The Human Networks (Jackson, 2019). Specifically, we wish people from all over the world and with all types of backgrounds can share the same source of information, so that success will be a reward to those who are determined and hardworking, regardless of external contrainsts.

One non-negligible reason for success is access to information, such as (1) knowing what a PhD in NLP is like, (2) knowing what top grad schools look for when reviewing PhD applications, (3) broadening your horizon of what is good work, (4) knowing how careers in NLP in both academia and industry are like, and many others.

Contributor: Zhijing Jin (PhD student in NLP at Max Planck Institute, co-organizer of the ACL Year-Round Mentorship Program).

You are welcome to be a collaborator, -- you can make an issue/pull request, and I can add you :).

Endorsers of this repo: Prof Rada Mihalcea (University of Michigan). Please add your name here (by a pull request) if you endorse this repo :).

Contents (Actively Updating)

Top Resources

  1. Online ACL Year-Round Mentorship Program: https://acl-mentorship.github.io (You can apply as a mentee, as a mentor, or as a volunteer. For mentees, you will be able to attend monthly zoom Q&A sessions hosted senior researchers in NLP. You will also join a global slack channel, where you can constantly post your questions, and we will collect answers from senior NLP researchers.)

Stage 1. (Non-PhD -> PhD) How to Apply to PhD?

  1. (Prof Philip [email protected]) Finding CS Ph.D. programs to apply to. [Video]

  2. (Prof Mor Harchol-Balter@CMU) Applying to Ph.D. Programs in Computer Science (2014). [Guide]

  3. (Prof Jason [email protected]) Advice for Research Students (last updated: 2021). [List of suggestions]

  4. (CS Rankings) Advice on Applying to Grad School in Computer Science. [Pointers]

  5. (Nelson Liu, [email protected]) Student Perspectives on Applying to NLP PhD Programs (2019). [Suggestions Based on Surveys]

  6. A Princeton CS Major's Guide to Applying to Graduate School. [List of suggestions]

  7. (John Hewitt, [email protected]) Undergrad to PhD, or not - advice for undergrads interested in research (2018). [Suggestions]

  8. (Kalpesh Krishna, [email protected] Amherst) Grad School Resources (2018). [Article] (This list lots of useful pointers!)

  9. (Prof Scott E. [email protected]) Quora answers on the LTI program at CMU (2017). [Article]

  10. (Albert Webson et al., [email protected] University) Resources for Underrepresented Groups, including Brown's Own Applicant Mentorship Program (2020, but we will keep updating it throughout the 2021 application season.) [List of Resources]

Specific Suggestions

  1. (Prof Nathan [email protected] University) Inside Ph.D. admissions: What readers look for in a Statement of Purpose. [Article]

Improve Your Proficiency with Tools

  1. (MIT 2020) The Missing Semester of Your CS Education (e.g., master the command-line, ssh into remote machines, use fancy features of version control systems).

Stage 2. (Doing PhD) How to Succeed in PhD?

  1. (Maxwell Forbes, [email protected]) Every PhD Is Different. [Suggestions]

  2. (Prof Mark [email protected], Prof Hanna M. [email protected] Amherst) How to be a successful PhD student (in computer science (in NLP/ML)). [Suggestions]

  3. (Andrej Karpathy) A Survival Guide to a PhD (2016). [Suggestions]

  4. (Prof Kevin [email protected]) Kevin Gimpel's Advice to PhD Students. [Suggestions]

  5. (Prof Marie [email protected] University) How to Succeed in Graduate School: A Guide for Students and Advisors (1994). [Article] [Part II]

  6. (Prof Eric [email protected]) Syllabus for Eric’s PhD students (incl. Prof's expectation for PhD students). [syllabus]

  7. (Prof H.T. [email protected]) Useful Thoughts about Research (1987). [Suggestions]

  8. (Prof Phil [email protected]) Networking on the Network: A Guide to Professional Skills for PhD Students (last updated: 2015). [Suggestions]

  9. (Prof Stephen C. [email protected]) Some Modest Advice for Graduate Students. [Article]

  10. (Prof Tao [email protected]) Graduate Student Survival/Success Guide. [Slides]

  11. (Mu [email protected]) 博士这五年 (A Chinese article about five years in PhD at CMU). [Article]

  12. (Karl Stratos) A Note to a Prospective Student. [Suggestions]

What Is Weekly Meeting with Advisors like?

  1. (Prof Jason [email protected]) What do PhD students talk about in their once-a-week meetings with their advisers during their first year? (2015). [Article]

  2. (Brown University) Guide to Meetings with Your Advisor. [Suggestions]

Practical Guides

  1. (Prof Srinivasan [email protected]) How to Read a Paper (2007). [Suggestions]

  2. (Prof Jason [email protected]) How to Read a Technical Paper (2009). [Suggestions]

  3. (Prof Jason [email protected]) How to write a paper? (2010). [Suggestions]

Memoir-Like Narratives

  1. (Prof Philip [email protected]) The Ph.D. Grind: A Ph.D. Student Memoir (last updated: 2015). [Video] (For the book, you have to dig deeply, and then you will find the book.)

  2. (Prof Tianqi [email protected]) 陈天奇:机器学习科研的十年 (2019) (A Chinese article about ten years of research in ML). [Article]

  3. (Jean Yang) What My PhD Was Like. [Article]

How to Excel Your Research

  1. The most important step: (Prof Jason [email protected]) How to Find Research Problems (1997). [Suggestions]

Grad School Fellowships

  1. (List compiled by CMU) Graduate Fellowship Opportunities [link]
  2. CYD Fellowship for Grad Students in Switzerland [link]

Other Books

  1. The craft of Research by Wayne Booth, Greg Colomb and Joseph Williams.

  2. How to write a better thesis by Paul Gruba and David Evans

  3. Helping Doctoral Students to write by Barbara Kamler and Pat Thomson

  4. The unwritten rules of PhD research by Marian Petre and Gordon Rugg

Stage 3. (After PhD -> Industry) How is life as an industry researcher?

  1. (Mu [email protected]) 工作五年反思 (A Chinese article about reflections on the five years working in industry). [Article]

Stage 4. (Being a Prof) How to get an academic position? And how to be a good prof?

  1. (Prof Jason [email protected]) How to write an academic research statement (when applying for a faculty job) (2017). [Article]

  2. (Prof Jason [email protected]) How to Give a Talk (2015). [Suggestions]

  3. (Prof Jason [email protected]) Teaching Philosophy. [Article]

Stage 5. (Whole Career Path) How to live out a life career as an NLP research?

  1. (Prof Charles [email protected] University, Prof Qiang [email protected])Crafting Your Research Future: A Guide to Successful Master's and Ph.D. Degrees in Science & Engineering. [Book]

Further Readings: Technical Materials to Improve Your NLP Research Skills

  1. (Prof Jason [email protected]) Technical Tutorials, Notes, and Suggested Reading (last updated: 2018) [Reading list]

Contributions

All types of contributions to this resource list is welcome. Feel free to open a Pull Request.

Contact: Zhijing Jin, PhD in NLP at Max Planck Institute for Intelligent Systems, working on NLP & Causality.

How to Cite This Repo

@misc{resources2021jin,
  author = {Zhijing Jin},
  title = {Resources to Help Global Equality for PhDs in NLP},
  year = {2021},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/zhijing-jin/nlp-phd-global-equality}}
}
Owner
PhD in NLP & Causality. Affiliated with Max Planck Institute, Germany & ETH & UMich. Supervised by Bernhard Schoelkopf, Rada Mihalcea, and Mrinmaya Sachan.
Python library for Serbian Natural language processing (NLP)

SrbAI - Python biblioteka za procesiranje srpskog jezika SrbAI je projekat prikupljanja algoritama i modela za procesiranje srpskog jezika u jedinstve

Serbian AI Society 3 Nov 22, 2022
Задания КЕГЭ по информатике 2021 на Python

КЕГЭ 2021 на Python В этом репозитории мои решения типовых заданий КЕГЭ по информатике в 2021 году, БЕСПЛАТНО! Задания Взяты с https://inf-ege.sdamgia

8 Oct 13, 2022
Download videos from YouTube/Twitch/Twitter right in the Windows Explorer, without installing any shady shareware apps

youtube-dl and ffmpeg Windows Explorer Integration Download videos from YouTube/Twitch/Twitter and more (any platform that is supported by youtube-dl)

Wolfgang 226 Dec 30, 2022
source code for paper: WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach.

WhiteningBERT Source code and data for paper WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach. Preparation git clone https://github.com

49 Dec 17, 2022
Training RNNs as Fast as CNNs

News SRU++, a new SRU variant, is released. [tech report] [blog] The experimental code and SRU++ implementation are available on the dev branch which

Tao Lei 14 Dec 12, 2022
PyWorld3 is a Python implementation of the World3 model

The World3 model revisited in Python Install & Hello World3 How to tune your own simulation Licence How to cite PyWorld3 with Bibtex References & ackn

Charles Vanwynsberghe 248 Dec 14, 2022
A framework for evaluating Knowledge Graph Embedding Models in a fine-grained manner.

A framework for evaluating Knowledge Graph Embedding Models in a fine-grained manner.

NEC Laboratories Europe 13 Sep 08, 2022
Natural Language Processing with transformers

we want to create a repo to illustrate usage of transformers in chinese

Datawhale 763 Dec 27, 2022
Code release for NeX: Real-time View Synthesis with Neural Basis Expansion

NeX: Real-time View Synthesis with Neural Basis Expansion Project Page | Video | Paper | COLAB | Shiny Dataset We present NeX, a new approach to novel

537 Jan 05, 2023
Spokestack is a library that allows a user to easily incorporate a voice interface into any Python application with a focus on embedded systems.

Welcome to Spokestack Python! This library is intended for developing voice interfaces in Python. This can include anything from Raspberry Pi applicat

Spokestack 133 Sep 20, 2022
Beautiful visualizations of how language differs among document types.

Scattertext 0.1.0.0 A tool for finding distinguishing terms in corpora and displaying them in an interactive HTML scatter plot. Points corresponding t

Jason S. Kessler 2k Dec 27, 2022
End-2-end speech synthesis with recurrent neural networks

Introduction New: Interactive demo using Google Colaboratory can be found here TTS-Cube is an end-2-end speech synthesis system that provides a full p

Tiberiu Boros 214 Dec 07, 2022
In this Notebook I've build some machine-learning and deep-learning to classify corona virus tweets, in both multi class classification and binary classification.

Hello, This Notebook Contains Example of Corona Virus Tweets Multi Class Classification. - Classes is: Extremely Positive, Positive, Extremely Negativ

Khaled Tofailieh 3 Dec 06, 2022
Blender addon - Scrub timeline from viewport with a shortcut

Viewport scrub timeline Move in the timeline directly in viewport and snap to nearest keyframe Note : This standalone feature will be added in the nat

Samuel Bernou 40 Nov 07, 2022
A Telegram bot to add notes to Flomo.

flomo bot 使用 Telegram 机器人发送笔记到你的 Flomo. 你需要有一台可访问 Telegram 的服务器。 Steps @BotFather 新建机器人,获取 token Flomo 官网获取 API,链接 https://flomoapp.com/mine?source=in

Zhen 44 Dec 30, 2022
Facilitating the design, comparison and sharing of deep text matching models.

MatchZoo Facilitating the design, comparison and sharing of deep text matching models. MatchZoo 是一个通用的文本匹配工具包,它旨在方便大家快速的实现、比较、以及分享最新的深度文本匹配模型。 🔥 News

Neural Text Matching Community 3.7k Jan 02, 2023
Data loaders and abstractions for text and NLP

torchtext This repository consists of: torchtext.data: Generic data loaders, abstractions, and iterators for text (including vocabulary and word vecto

3.2k Dec 30, 2022
Japanese NLP Library

Japanese NLP Library Back to Home Contents 1 Requirements 1.1 Links 1.2 Install 1.3 History 2 Libraries and Modules 2.1 Tokenize jTokenize.py 2.2 Cabo

Pulkit Kathuria 144 Dec 27, 2022
NLP-Project - Used an API to scrape 2000 reddit posts, then used NLP analysis and created a classification model to mixed succcess

Project 3: Web APIs & NLP Problem Statement How do r/Libertarian and r/Neoliberal differ on Biden post-inaguration? The goal of the project is to see

Adam Muhammad Klesc 2 Mar 29, 2022
Unet-TTS: Improving Unseen Speaker and Style Transfer in One-shot Voice Cloning

Unet-TTS: Improving Unseen Speaker and Style Transfer in One-shot Voice Cloning English | 中文 ❗ Now we provide inferencing code and pre-training models

164 Jan 02, 2023