Methods for Generating Drift in Text Streams

18 March 2024

Papers citing "Methods for Generating Drift in Text Streams"

9 / 9 papers shown

Title
River: machine learning for streaming data in Python Jacob Montiel Max Halford S. Mastelini Geoffrey Bolmier Raphael Sourty ... Adil Zouitine Heitor Murilo Gomes Jesse Read T. Abdessalem Albert Bifet AI4TS AI4CE 50 196 0 08 Dec 2020
TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification Francesco Barbieri Jose Camacho-Collados Leonardo Neves Luis Espinosa-Anke VLM 73 719 0 23 Oct 2020
ASSED -- A Framework for Identifying Physical Events through Adaptive Social Sensor Data Filtering Abhijit Suprem C. Pu 105 15 0 17 Sep 2019
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks Nils Reimers Iryna Gurevych 974 12,129 0 27 Aug 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.4K 94,511 0 11 Oct 2018
Diachronic word embeddings and semantic shifts: a survey Andrey Kutuzov Lilja Øvrelid Terrence Szymanski Erik Velldal AI4TS 54 302 0 09 Jun 2018
FastText.zip: Compressing text classification models Armand Joulin Edouard Grave Piotr Bojanowski Matthijs Douze Hervé Jégou Tomas Mikolov MQ 74 1,207 0 12 Dec 2016
Bag of Tricks for Efficient Text Classification Armand Joulin Edouard Grave Piotr Bojanowski Tomas Mikolov VLM 144 4,612 0 06 Jul 2016
Efficient Estimation of Word Representations in Vector Space Tomas Mikolov Kai Chen G. Corrado J. Dean 3DV 623 31,469 0 16 Jan 2013