Suchergebnisse - Multi-label Text Classification in Machine Learning

MasakhaNER: Named Entity Recognition for African Languages von Tajuddeen R. Gwadabe, Henok Tilaye, Ayodele Awokoya, Julia Kreutzer, Eric Peter Wairagala, Deborah Nabagereka, Tendai Marengereke, Clemencia Siro, Israel Abebe Azime, Paul Rayson, Happy Buzaaba, Tobius Saul Bateesa, Kelechi Ogueji, Salomey Osei, Dibora Gebreyohannes, Mouhamadane Mboup, Gerald Muriuki, Jesujoba O. Alabi, Perez Ogayo, Shamsuddeen Hassan Muhammad, Maurice Katusiime, Sebastian Ruder, Ignatius Ezeani, Samba Ngom, Chris Chinenye Emezue, Temilola Oloyede, Rubungo Andre Niyongabo, Tosin P. Adewumi, Derguene Mbaye, Degaga Wolde, Graham Neubig, Mofetoluwa Adeyemi, Verrah Otiende, Jade Abbott, Thierno Ibrahima Diop, Nkiruka Odu, Blessing Sibanda, Joyce Nakatumba-Nabende, Catherine Gitau, Orevaoghene Ahia, Daniel D'souza, Shruti Rijhwani, Stephen Mayhew, Bonaventure F. P. Dossou, Victor Akinode, David Ifeoluwa Adelani, Jonathan Mukiibi, Seid Muhie Yimam, Kelechi Nwaike, Emmanuel Anebi, Iroro Orife, Abdoulaye Faye, Adewale Akinfaderin, Chiamaka Chukwuneke, Aremu Anuoluwapo, Constantine Lignos, Yvonne Wambui, Abdoulaye Diallo, Davis David, Chester Palen-Michel, Samuel Oyerinde

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M-CFIS-R: Mamdani Complex Fuzzy Inference System with Rule Reduction Using Complex Fuzzy Measures in Granular Computing von Trần Mạnh Tuấn, Luong Thi Hong Lan, Shuo‐Yan Chou, Trần Thị Ngân, Lê Hoàng Sơn, Nguyễn Long Giang, Mumtaz Ali

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HMATC: Hierarchical multi-label Arabic text classification model using machine learning von Aljedani, Nawal, Alotaibi, Reem, Taileb, Mounira

“… labels for the same instance. Few studies have investigated multi-label text classification for the Arabic language …”
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Online multi-label dependency topic models for text classification von Burkhardt, Sophie, Kramer, Stefan

“… Multi-label text classification is an increasingly important field as large amounts of text data are available and extracting relevant information is important in many application contexts …”
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LAR-SiCo: recommending law articles based on multi-label text classification von Zhao, Hua, Li, Xiaoqian, Zeng, Qingtian, Zou, Zhenqi, Liang, Jinguo

“… Because an illegal advertisement may violate one or more law articles, we proposed to consider the automatic recommendation of law articles as a multi-label text classification (MLTC …”
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Creating an incident investigation framework for a complex socio-technical system: Application of multi-label text classification and Bayesian network structure learning von Karimi Dehkordi, Mohammadreza, Sattari, Fereshteh, Lefsrud, Lianne

“… •To prevent the manual analysis of a large number of incident reports, replete with textual content, multi-label text classification is used to classify the reports …”
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Multi-label text mining to identify reasons for appointments to drive population health analytics at a primary care setting von Abu Lekham, Laith, Wang, Yong, Hey, Ellen, Khasawneh, Mohammad T.

“… In this research, a novel multi-label text mining model is developed to analyze and categorize the reasons for medical appointments at a primary medical center serving a rural population …”
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Ensemble-based Methods for Multi-label Classification on Biomedical Question-Answer Data von Abdillah, Abid Famasya, Putra, Cornelius Bagus Purnama, Apriantoni, Apriantoni, Juanita, Safitri, Purwitasari, Diana

“… : We used the ensemble method with heterogeneous deep learning and machine learning for multi-label extended text classification …”
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Extreme Multi-Label Text Classification for Less-Represented Languages and Low-Resource Environments: Advances and Lessons Learned von Ivačič, Nikola, Škrlj, Blaž, Koloski, Boshko, Pollak, Senja, Lavrač, Nada, Purver, Matthew

“… This paper examines a retrieval-based approach to multi-label text classification (MLC) for a media monitoring dataset, with a particular focus on less-represented languages, such as Slovene …”
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Margin attribute reductions for multi-label classification von Fan, Xiaodong, Chen, Xiangyue, Wang, Changzhong, Wang, Yang, Zhang, Ying

“… Multi-label classification is a typical supervised machine learning problem and widely applied in text classification and image recognition …”
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Multi-Keyword Classification: A Case Study in Finnish Social Sciences Data Archive von Skenderi, Erjon, Huhtamäki, Jukka, Stefanidis, Kostas

“… Manual labelling is an expensive process and prone to human error. Various multi-label text classification machine learning approaches have been proposed to resolve this problem …”
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A New Hybrid Based on Long Short-Term Memory Network with Spotted Hyena Optimization Algorithm for Multi-Label Text Classification von Khataei Maragheh, Hamed, Gharehchopogh, Farhad Soleimanian, Majidzadeh, Kambiz, Sangar, Amin Babazadeh

“… ). The purpose of the MLTC is to assign multiple labels to each document. Traditional text classification methods, such as machine learning usually involve data scattering and failure to discover relationships between data …”
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BOOMER — An algorithm for learning gradient boosted multi-label classification rules von Rapp, Michael

“… – an algorithm for learning gradient boosted multi-label classification rules – that can flexibly be adjusted to different use cases and requirements …”
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Multi-label Classification for Clinical Text with Feature-level Attention von Pan, Disheng, Zheng, Xizi, Liu, Weijie, Li, Mengya, Ma, Meng, Zhou, Ying, Yang, Li, Wang, Ping

“… To diagnose diseases, clinical researchers use a machine-learning algorithm to do multi-label clinical text classification …”
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Multi-label Text Document Classification using Fuzzy Rough Set based on Robust Nearest Neighbor Method von Behera, Bichitranada, Kumaravelan, G, Mixymol, V K

“… Multi-label text document classification is more challenging than multi-class classification because it requires simultaneously assigning many class labels to unlabeled text documents rather than just one …”
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Movie genre classification using binary relevance, label powerset, and machine learning classifiers von Kumar, Sanjay, Kumar, Nikhil, Dev, Aditya, Naorem, Siraz

“… Multi-label text classification (MLTC) is a technique to categorize texts into more than a single category and used extensively in various real-life problems …”
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Evaluation multi label feature selection for text classification using weighted borda count approach von Miri, Mohsen, Dowlatshahi, Mohammad Bagher, Hashemi, Amin

“… Due to the existence of text data, multi-label (ML) text classification is an essential task in machine learning …”
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Designing multi-label classifiers that maximize F measures: State of the art von Pillai, Ignazio, Fumera, Giorgio, Roli, Fabio

“… Multi-label classification problems usually occur in tasks related to information retrieval, like text and image annotation, and are receiving increasing attention from the machine learning …”
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A novel reasoning mechanism for multi-label text classification von Wang, Ran, Ridley, Robert, Su, Xi’ao, Qu, Weiguang, Dai, Xinyu

“… •A novel reasoning-based algorithm named ML-Reasoner for multi-label text classification is proposed …”
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Label prompt for multi-label text classification von Song, Rui, Liu, Zelong, Chen, Xingbing, An, Haining, Zhang, Zhiqi, Wang, Xiaoguang, Xu, Hao

“… In this paper, we propose a Label Prompt Multi-label Text Classification model (LP-MTC), which is inspired by the idea of prompt learning of pre-trained language model …”
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