#textclassification 搜尋結果
#textclassification #deeperlearning #languagemodels #naturallanguageprocessing #semantics Integrating Graph-Based Representations with Deep Contextual Models for Text Classification Sumit Mamtani, New York University, USA youtube.com/watch?v=NrYbT5…
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Integrating Graph-Based Representations with Deep Contextual Models...
Learn how to classify text with anote.ai by uploading your file, customizing it, adding a taxonomy, and annotating reviews. #textclassification #machinelearning
Day 39 of my AI journey! Learned & practiced text classification for NLP. Also honed n8n workflow automation skills & explored AI business ideas. Pushing forward! #AI #NLP #TextClassification #n8n #StartupJourney
🔥 Read our Highly Cited Paper 📚Research on Public Service Request Text Classification Based on BERT-BiLSTM-CNN #FeatureFusion 🔗mdpi.com/2076-3417/14/1… 👨🔬by Yunpeng Xiong et al. 🏫Hainan Normal University #textclassification #ensemblelearning
🔥 Read our Highly Cited Paper 📚 Improving the Accuracy and Effectiveness of #TextClassification Based on the Integration of the #BertModel and a #RecurrentNeuralNetwork (RNN_Bert_Based) 🔗 mdpi.com/2076-3417/14/1… 👨🔬 Chanthol Eang and Seungjae Lee 🏫 @sunmoonpr
Experiments show PEFT, especially Prefix‑tuning and UniPELT, outperform FFT in low‑resource text tasks and remain strong in AL setups, boosted further by TAPT. - hackernoon.com/who-learns-fas… #textclassification #activelearning(al)
hackernoon.com
Who Learns Faster With Less Data? Adapters Beat Full Fine‑Tuning | HackerNoon
Experiments show PEFT, especially Prefix‑tuning and UniPELT, outperform FFT in low‑resource text tasks and remain strong in AL setups, boosted further by TAPT.
This paper studies active learning with parameter‑efficient fine‑tuning (adapters), showing AL+PEFT improves PLMs in low‑resource text classification. - hackernoon.com/teaching-big-m… #textclassification #activelearning(al)
🔥 Read our Highly Cited Paper 📚 Enhancing Imbalanced #Sentiment Analysis: A #GPT-3-Based Sentence-by-Sentence Generation Approach 🔗 mdpi.com/2076-3417/14/2… 👨🔬 by Mrs. Cici Suhaeni and Prof. Hwan-Seung Yong 🏫 Ewha Womans University #textclassification #textgeneration #LLM
🚀 Introducing GLiClass‑V3 – a leap forward in zero-shot classification! Matches or beats cross-encoder accuracy, while being up to 50× faster. Real-time inference is now possible on edge hardware. huggingface.co/collections/kn… #TextClassification #NLP #ZeroShot #GLiClass
Providing an efficient #distilBERT-based #textclassification model for Apprentice Online Job Advertisements (AOJAs) and Regular #OJAs: “Ausklasser - a classifier for German apprenticeship advertisements“ by Kai Krüger. ACSIS Vol. 37 p.165–172; tinyurl.com/y7k8adwz
New #SpecialIssue "Advances in Data Mining for Complex Systems", edited by Prof. Dr. Lei Li, Dr. Natalia Vanetik and Dr. Shlomo Greenberg. Deadline is 31 May 2026. Submissions are welcome until deadline! mdpi.com/journal/inform… #textclassification @ComSciMath_Mdpi
#nlp #textclassification #lime #semantics #naturallanguageprocessing #linguistics Evaluating Clinical BERT for Multiclass Pathology Report Classification with Interpretability youtube.com/watch?v=GkDOgj…
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Evaluating Clinical BERT for Multiclass Pathology Report Classifica...
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