reddit-nlp-research-problemsDiscussion on important NLP research problems in academia and industry. Use when exploring current challenges in natural language processing, low-resource language models, or conversational AI research directions.
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What are the most important problems in this space in academia and industry?
I'm not an NLP rese...
What are the most important problems in this space in academia and industry?
I'm not an NLP researcher, but someone who has worked in industry in adjacent fields. I will give two examples of problems that seem important at a practical level that I've come across:
* NLP and speech models for low-resource languages. Many people would like to use LLMs for various purposes (asking questions about crops, creating health or education-applications) but cannot do so because models do not perform well for their regional language. It seems important to gather data, train models, and build applications that enable native speakers of these languages to benefit from the technology.
* Improving "conversational AI" systems in terms of latency, naturalness, handling different types of interruptions and filler words, etc. I don't know how this subreddit feels about this topic, but it is a huge focus in industry.
That being said, the examples I gave are very much shaped by experience, and I do not
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