Topic: sense2vec Goto Github
Some thing interesting about sense2vec
Some thing interesting about sense2vec
sense2vec,qlamda: txt2ques generation model
User: archishmansengupta
sense2vec,What have Spacy's sense2vec 2019 word vectors learned from Reddit?
User: chanind
Home Page: https://chanind.github.io/reddit-words/
sense2vec,Neural Sense Embeddings, replicating "SENSEMBED: Learning Sense Embeddings for Word and Relational Similarity", Iacobacci, Pilehvar and Navigli, 2015
User: emanuelegiona
sense2vec,🦆 Contextually-keyed word vectors
Organization: explosion
Home Page: https://explosion.ai/blog/sense2vec-reloaded
sense2vec,A simple web application for searching Word2Vec embeddings derived from approximately 2,000 law reports published by the The Incorporated Council of Law Reporting for England & Wales (https://www.iclr.co.uk).
User: iclrandd
Home Page: https://research.iclr.co.uk
sense2vec,Generate MCQ questions from context
User: karthick47v2
sense2vec,Easy to use and understand multiple-choice question generation algorithm using T5 Transformers.
User: kristiyanvachev
sense2vec,🦜 Containerized HTTP API for industrial-strength NLP via spaCy and sense2vec
User: neelkamath
Home Page: https://hub.docker.com/r/neelkamath/spacy-server
sense2vec,This is a much more in-depth project of text classification using SpaCy, where Amazon food reviews dataset was used
User: nikjohn7
sense2vec,An end-to-end solution on how MCQs can be generated using T5 transformer model, word embeddings and decoding strategies
User: pedroandreou
sense2vec,Chapter 5: Embeddings
User: springernlp
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