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.
The guide to tackle with the Text Summarization

The guide to tackle with the Text Summarization

Takahiro Kubo 1.2k Dec 30, 2022
A number of methods in order to perform Natural Language Processing on live data derived from Twitter

A number of methods in order to perform Natural Language Processing on live data derived from Twitter

1 Nov 24, 2021
無料で使える中品質なテキスト読み上げソフトウェア、VOICEVOXの音声合成エンジン

VOICEVOX ENGINE VOICEVOXの音声合成エンジン。 実態は HTTP サーバーなので、リクエストを送信すればテキスト音声合成できます。 API ドキュメント VOICEVOX ソフトウェアを起動した状態で、ブラウザから

Hiroshiba 3 Jul 05, 2022
ADCS - Automatic Defect Classification System (ADCS) for SSMC

Table of Contents Table of Contents ADCS Overview Summary Operator's Guide Demo System Design System Logic Training Mode Production System Flow Folder

Tam Zher Min 2 Jun 24, 2022
Interpretable Models for NLP using PyTorch

This repo is deprecated. Please find the updated package here. https://github.com/EdGENetworks/anuvada Anuvada: Interpretable Models for NLP using PyT

Sandeep Tammu 19 Dec 17, 2022
Unsupervised Language Model Pre-training for French

FlauBERT and FLUE FlauBERT is a French BERT trained on a very large and heterogeneous French corpus. Models of different sizes are trained using the n

GETALP 212 Dec 10, 2022
[ICLR'19] Trellis Networks for Sequence Modeling

TrellisNet for Sequence Modeling This repository contains the experiments done in paper Trellis Networks for Sequence Modeling by Shaojie Bai, J. Zico

CMU Locus Lab 460 Oct 13, 2022
CJK computer science terms comparison / 中日韓電腦科學術語對照 / 日中韓のコンピュータ科学の用語対照 / 한·중·일 전산학 용어 대조

CJK computer science terms comparison This repository contains the source code of the website. You can see the website from the following link: Englis

Hong Minhee (洪 民憙) 88 Dec 23, 2022
The official repository of the ISBI 2022 KNIGHT Challenge

KNIGHT The official repository holding the data for the ISBI 2022 KNIGHT Challenge About The KNIGHT Challenge asks teams to develop models to classify

Nicholas Heller 4 Jan 22, 2022
A Lightweight NLP Data Loader for All Deep Learning Frameworks in Python

LineFlow: Framework-Agnostic NLP Data Loader in Python LineFlow is a simple text dataset loader for NLP deep learning tasks. LineFlow was designed to

TofuNLP 177 Jan 04, 2023
Faster, modernized fork of the language identification tool langid.py

py3langid py3langid is a fork of the standalone language identification tool langid.py by Marco Lui. Original license: BSD-2-Clause. Fork license: BSD

Adrien Barbaresi 12 Nov 05, 2022
An assignment from my grad-level data mining course demonstrating some experience with NLP/neural networks/Pytorch

NLP-Pytorch-Assignment An assignment from my grad-level data mining course (before I started personal projects) demonstrating some experience with NLP

David Thorne 0 Feb 06, 2022
Label data using HuggingFace's transformers and automatically get a prediction service

Label Studio for Hugging Face's Transformers Website • Docs • Twitter • Join Slack Community Transfer learning for NLP models by annotating your textu

Heartex 135 Dec 29, 2022
Python Implementation of ``Modeling the Influence of Verb Aspect on the Activation of Typical Event Locations with BERT'' (Findings of ACL: ACL 2021)

BERT-for-Surprisal Python Implementation of ``Modeling the Influence of Verb Aspect on the Activation of Typical Event Locations with BERT'' (Findings

7 Dec 05, 2022
A Fast Command Analyser based on Dict and Pydantic

Alconna Alconna 隶属于ArcletProject, 在Cesloi内有内置 Alconna 是 Cesloi-CommandAnalysis 的高级版,支持解析消息链 一般情况下请当作简易的消息链解析器/命令解析器 文档 暂时的文档 Example from arclet.alcon

19 Jan 03, 2023
iBOT: Image BERT Pre-Training with Online Tokenizer

Image BERT Pre-Training with iBOT Official PyTorch implementation and pretrained models for paper iBOT: Image BERT Pre-Training with Online Tokenizer.

Bytedance Inc. 435 Jan 06, 2023
Toward a Visual Concept Vocabulary for GAN Latent Space, ICCV 2021

Toward a Visual Concept Vocabulary for GAN Latent Space Code and data from the ICCV 2021 paper Sarah Schwettmann, Evan Hernandez, David Bau, Samuel Kl

Sarah Schwettmann 13 Dec 23, 2022
Kurumi ChatBot

KurumiChatBot Just another Telegram AI chat bot written in Python using Pyrogram. A public running instance can be found on telegram as @TokisakiChatB

Yoga Pranata 3 Jun 28, 2022
Code for the paper PermuteFormer

PermuteFormer This repo includes codes for the paper PermuteFormer: Efficient Relative Position Encoding for Long Sequences. Directory long_range_aren

Peng Chen 42 Mar 16, 2022
This is the main repository of open-sourced speech technology by Huawei Noah's Ark Lab.

Speech-Backbones This is the main repository of open-sourced speech technology by Huawei Noah's Ark Lab. Grad-TTS Official implementation of the Grad-

HUAWEI Noah's Ark Lab 295 Jan 07, 2023