Update on 2022-01-04: we have also added the presentation slides, bibliographies and blogs from the Fall 2021 course. Check for them below and under "slides2021".
Update on 2021-01-10: we have added the presentations from the Fall 2020 installment of the course. Check for them under "slides2020".
As part of the Fall 2018-2021 course CPSC 677 "Advanced Natural Language Processing" at Yale, we developed, with the help of the students, a corpus of useful resources for NLP research. Bibliographies and Powerpoint Presentations for each topic are found below, in addition to several blog posts. We asked the students to also list relevant and prerequisite concepts for each topic, and these keywords are found here.
If you have any questions, would like to contribute further to this project or feel we are missing an important citation, please contact Alex Fabbri at alex[dot]fabbri[at]yale.[first three letters of education]
- NLP for Program Synthesis by Zhangir Azerbayev - BIB BLOG SLIDES
- Differential Privacy for NLP by Faiaz Rahman - BIB SLIDES
- Cross Lingual Contextual Embedding Alignment by Nick Schoelkopf - BIB SLIDES
- Long Document Summarization by Ziming Mao - BIB SLIDES
- Multi-Document Summarization by Yixin Liu - BIB SLIDES
- Adversarial Attacks for NLP by Simeng Han - BIB SLIDES
- Context Aware Machine Translation by Rina Kawamura - BIB BLOG SLIDES
- Emotion and Affect Detection from Text by Arjun Nair - BIB SLIDES
- Text Style Transfer by Sasha Lew - BIB BLOG SLIDES
- Interpretability in NLP by Matthew Burtell - BIB SLIDES
- Text to Speech by Chae Young Lee - BIB SLIDES
- Ethics in NLP by Hana Galijasevic - BIB SLIDES
- Social Commonsense Reasoning by Keen You - BIB SLIDES
- Speech Translation by Ian Neidel - BIB SLIDES
- Deep Reinforcement Learning in NLP by Zehao Dou - BIB BLOG SLIDES
- Transformers Recent Development by Brandon Henry - BIB SLIDES
- Reasoning Over Tabular Data by Yilun Zhao - BIB SLIDES
- Efficient Transformer Models by Zhiyu Liang - BIB SLIDES
- Multimodal Representation Learning: Vision and Language by Seung Yoon Lee - BIB SLIDES
- Bias and Debiasing in NLP by Bingyao Wang - BIB SLIDES
- NLP for Recommender Systems by Sumner Magruder - BIB SLIDES
- Question Answering from Tables by Eli Sage-Martinson - BIB BLOG SLIDES
- Graph Neural Networks for NLP by Pranik Chainani - BIB SLIDES
Additionally, students from the class made blog posts on the following topics:
- Nonautoregressive Machine Translation by Linyong Nan SLIDES
- AMR Parsing and Generation by Neha Verma BIB SLIDES
- Lexical and Syntactic Bertology by Pranav Krishna SLIDES
- Semantic Parsing by Aarohi Srivastava BIB SLIDES
- Survey Generation by Sally Ma BIB SLIDES
- Knowledge and Commonsense in Language Models by Vanessa Yan SLIDES
- Graph Convolution Networks by Irene Li SLIDES
- Neuro-Symbolic Systems for NLP by Murori Mutuma BIB SLIDES
- Language Grounding by Borui Wang BIB SLIDES
- Reading Comprehension and QA by Ansong Ni BIB SLIDES
- Text Summarization by Alex Fabbri SLIDES
- Deep Reinforcement Learning by Nathan Tsoi BIB SLIDES
- Cognitive Neuroscience and NLP by Sam Fereidooni SLIDES
- NLP for Robotics by Nicholas Georgiou SLIDES
- Natural Language Interfaces by Tao Yu SLIDES
- NLP for Electronic Health Records by Tony Wong BIB SLIDES
- Neuroscience and NLP by Antonio Fonseca SLIDES
- Knowledge Graph Embedding by Tianxiao Li SLIDES
Additionally, students from the class made blog posts on the following topics:
- Introduction to Prerequisite Learning in NLP - BLOG
- Capsule Networks for NLP by Will Merrill - BIB BLOG SLIDES
- Commonsense Learning by Michihiro Yasunaga - BIB SLIDES
- Dialogue Systems by Suyi Li - BIB SLIDES
- Multilingual-Word-Embeddings by Davey Proctor - BIB SLIDES
- Neural Embeddings By John Brandt - BIB SLIDES
- Temporal and Dynamic Embeddings by Yavuz Nuzumlali - BIB SLIDES
- NLP in Finance by Gaurav Pathak BIB SLIDES
- Natural Language Generation by Tianwei She - BIB SLIDES
- Knowledge Graphs by Tomoe Mizutani - BIB SLIDES
- Cross-Lingual Information Retrieval by Rui Zhang - BIB BLOG SLIDES
- Neural Information Retrieval by Danny Keller - BIB SLIDES
- Character-Level Language Modeling by Angus Fong - BIB SLIDES
- Latent Variable Models in NLP by Brian Kitano - BIB SLIDES
- Unsupervised Machine Translation By Yongjie Lin - BIB SLIDES
- Neural Computational Morphology by Garrett Bingham - BIB SLIDES
- Network Methods by Noah Amsel - BIB SLIDES
- Neural Semi-Supervised Learning by Alex Fabbri - BIB SLIDES
- Question Answering by Talley Amir - BIB SLIDES
- Attribute-Level Sentiment Analaysis by Ishita Chakraborty and Davey Proctor - BIB BLOG SLIDES
- Semantic Parsing by Bo Pang - BIB SLIDES
- Sequence2Sequence by Jack Koch - BIB SLIDES
- Seq2SQL by Tao Yu - BIB SLIDES
- Spectral Learning by Hannah Lawrence - BIB SLIDES
- Single Document Summarization by Yi Chern Tan - BIB SLIDES
- Transfer Learning by Irene Li - BIB SLIDES
Additionally, students from the class made blog posts on the following topics: