Natural Language Processing (NLP) is a fascinating field that bridges the gap between human language and computer understanding. With a plethora of research papers and blogs available, it can sometimes be overwhelming to know where to start. This blog serves as a beacon in the vast ocean of knowledge, guiding you through the essential resources available in the realm of NLP.

How to Read a Paper?

Reading academic papers can be quite different from reading novels or casual blog posts. Here are some handy resources to get you started on your journey to mastering academic literature:

• How to read an academic article
• Advice on reading academic papers
• How to read and understand a scientific paper
• Should I Read Papers?
• The Refreshingly Rewarding Realm of Research Papers

List of Research Papers

Machine Translation

• Sequence to Sequence Learning with Neural Networks – LSTM-based approach for sequence problems.
• Learning Phase Representations using RNN Encoder-Decoder for Statistical Machine Translation
• Attention Model (Neural Machine Translation By Jointly Learning to Align and Translate) – Modified version of attention model architecture.
• Understanding Back-Translation at Scale
• MUSE: Parallel Multi-Scale Attention for Sequence to Sequence Learning

Language Models

• Scalable Hierarchical Distributed Language Model
• Bag of Tricks for Efficient Text Classification – fastText by Facebook AI Research.

Word Embeddings

• Distributed Representations of Sentences and Documents by Tomas Mikolov.
• Distributed Representations of Words and Phrases and their Compositionality – Word2Vec representation.

Image to Text

• Neural Image Caption Generation with Visual Attention

Transformers

• Attention Is All You Need
• BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

List of Blogs

Machine Translation

• Google Machine Translation Blog
• Email AutoReply and Auto Suggestion

Image to Text

• Image Captioning Using Keras

Transformers

• The Illustrated Transformer
• The Illustrated BERT
• A Visual Guide to Using BERT for the First Time

Troubleshooting

When navigating the sea of knowledge in NLP, you may encounter some challenges. Here are some tips to make your journey smoother:

• If a link doesn’t work, reload the page or try again later.
• To understand dense academic language, look up terminology used in the paper or blog.
• For deeper insights, consider reading related papers or blogs to grasp the context better.
• Don’t hesitate to discuss papers with peers or in online communities to gain different perspectives.

For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.