Dataset Groups Activity Stream NLSC NLSC uses two pre-trained models, one uses 19.7B words from 700 dimensions trained on English tweets, and the other uses 1.7B words from 700 dimensions trained on Wikipedia entries. BibTex: @dataset{Oscar_J_Romero_and_Ankit_Dangi_and_Sushma_A_Akoju_2024, abstract = {NLSC uses two pre-trained models, one uses 19.7B words from 700 dimensions trained on English tweets, and the other uses 1.7B words from 700 dimensions trained on Wikipedia entries.}, author = {Oscar J. Romero and Ankit Dangi and Sushma A. Akoju}, doi = {10.57702/mjq3041z}, institution = {No Organization}, keyword = {'named entity recognition', 'sentence embeddings', 'service composition'}, month = {dec}, publisher = {TIB}, title = {NLSC}, url = {https://service.tib.eu/ldmservice/dataset/nlsc}, year = {2024} }
