ffflora / papers

NLP papers and notes

Papers

This repository contains some NLP papers and notes that I have read or am interested in.

1. Skip-Thought Vectors
2. character level convolutional networks for text classification
3. Efficient Estimation of Word Representations in Vector Space

Why read paper? 📃

1. Build up basic knowledge: some related works in the paper could help understand the basic skills set of the area, as well as to gain the knowledge about classic algorithms;
2. Get new ideas and directions;
3. Interview: people ask about the treads;
4. Reproduce the code: build up the coding skills.

What papers should you read?

1. Reviews: basic knowledge, key skills and algorithms, implementation method, and applications
2. Representative papers: the most popular/important papers of the area; usually could get information about these kind of papers from the Related Work from reviews or other papers, with open source codes come along;
3. State-of-the-Art: newest/most popular trends in the industry.

Paper sources

• Top Conferences: CVPR, AAAI, ICCV, etc, especially Oral
• Google Scholar
• Valse & Webinar
• Papers with Code:
• Ask the professionals