Awesome-NLP-Research (ANLP)

Overview

Awesome-NLP-Research (ANLP)

(Update on 2020-01-10: we have also added the presentations from the Fall 2020 installment of the course. Check for them under "slides2020".)

As part of the Fall 2018 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 alexander[dot]fabbri[at]yale.[first three letters of education]

Overview of papers presented in class

  • 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:

  • DARTS - BLOG
  • OpenAI Transformer - BLOG
Owner
Language, Information, and Learning at Yale
Language, Information, and Learning at Yale
The official code for “DocTr: Document Image Transformer for Geometric Unwarping and Illumination Correction”, ACM MM, Oral Paper, 2021.

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GAP-text2SQL: Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training

GAP-text2SQL: Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training Code and model from our AAAI 2021 paper

Amazon Web Services - Labs 83 Jan 09, 2023
Official PyTorch Implementation of paper "NeLF: Neural Light-transport Field for Single Portrait View Synthesis and Relighting", EGSR 2021.

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Mkdocs + material + cool stuff

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prompt2slip This library is testing the ethics of language models by using natural adversarial texts. This tool allows for short and simple code and v

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CoSENT 比Sentence-BERT更有效的句向量方案

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Zhengxi Liu (刘正曦) 134 Dec 16, 2022
Modeling cumulative cases of Covid-19 in the US during the Covid 19 Delta wave using Bayesian methods.

Introduction The goal of this analysis is to find a model that fits the observed cumulative cases of COVID-19 in the US, starting in Mid-July 2021 and

Alexander Keeney 1 Jan 05, 2022
MMDA - multimodal document analysis

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AI2 75 Jan 04, 2023
使用Mask LM预训练任务来预训练Bert模型。训练垂直领域语料的模型表征,提升下游任务的表现。

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Desmond Ng 24 Dec 10, 2022
Partially offline multi-language translator built upon Huggingface transformers.

Translate Command-line interface to translation pipelines, powered by Huggingface transformers. This tool can download translation models, and then us

Richard Jarry 8 Oct 25, 2022
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Pushkar Patel 50 Mar 22, 2022
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A framework for evaluating Knowledge Graph Embedding Models in a fine-grained manner.

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NEC Laboratories Europe 13 Sep 08, 2022
NLP and Text Generation Experiments in TensorFlow 2.x / 1.x

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