Nethmi Tharushika·Jul 15The 2010s: How NLP Learned to Think in VectorsIf you had to pick one idea that defined natural language processing in the 2010s, it wouldn’t be a single model , it would be a shift in…
Feliks VP Samosir·May 24Dari Hitungan ke Prediksi: Bagaimana Mesin Belajar Memahami Hubungan AntarkataIni adalah bagian kedua dari seri catatan belajar saya atas video perkuliahan dari CS224N (Stanford University) dan CMU 11–737 (Carnegie…
Lekshana Priya Ravi·Apr 20How Machines Learned Meaning: Distributed Language RepresentationHow vectors, context, and neural models reshaped language processing — from Word2Vec to BERT and beyond.
Mohammedsafa·Apr 12Do Static Word Embeddings Really Fail on Polysemy?We usually say static embeddings fail on polysemy. And in one important sense, they do. But that may not be the whole story.
Emurugayathri·Apr 2CBOW, Skip-Gram, Negative Sampling, GloVe and FastText: From local context to global meaningIn the last blog, we learned about word embeddings and why they work better than one-hot encoding, Bag of Words, and TF-IDF. Instead of…
Muhammadahmad·Mar 25Building a Hybrid Semantic Retrieval System from Scratch Using PyTorch and GloVeIntroduction
Kelly·Mar 6Lost Gloves of BostonWe were tasked with collecting data for a week then asked to create a poster of the data and artistic expressions of the data on the…A response icon1A response icon1
Skiglovesusa·Feb 17How to Wash Ski Gloves Without Ruining the WaterproofingThere is a specific, cringeworthy moment every skier knows: you pull your gloves out of your gear bag on a cold January morning, slide your…
