---
title: "Who cites Transductive Inference for Text — 87 citing papers"
description: "87 papers of the Elamur Research library cite «Transductive Inference for Text Classification using Support Vector Machines», found in their…"
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---
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# Who cites «Transductive Inference for Text Classification using Support Vector Machines»

87 papers of our library cite it (of the 149,439 whose bibliographies we read) · 9 with a page here, the most cited first · [← back to «Transductive Inference for Text Classification using Support Vector Machines»](https://md.research.elamur.ai/free/en/papers/joachims-1999-transductive-inference-text-classification-svm/)

1. [**Semi-Supervised Classification with Graph Convolutional Networks arXiv:1609.02907**Thomas N. Kipf, Max Welling*2016 · 9,023 citations*](https://md.research.elamur.ai/free/en/papers/kipf-2016-semi-supervised-classification-graph-convolutional/)
2. **[Machine Learning in Automated Text Categorization](https://md.research.elamur.ai/free/en/papers/sebastiani-2002-machine-learning-automated-text-categorization/) [ACM Computing Surveys](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/)**Fabrizio Sebastiani*2002 · 8,154 citations*
3. [**Natural Language Processing (almost) from Scratch arXiv:1103.0398**Ronan Collobert, Jason Weston, Leon Bottou, et al.*2011 · 6,163 citations*](https://md.research.elamur.ai/free/en/papers/collobert-2011-natural-language-processing-almost-scratch/)
4. [**RCV1: A New Benchmark Collection for Text Categorization Research JMLR 5**David D. Lewis, Yiming Yang, Tony G. Rose, et al.*2004 · 2,762 citations*](https://md.research.elamur.ai/free/en/papers/lewis-2004-rcv1-benchmark-collection-text-categorization/)
5. **[Co-Training for Cross-Lingual Sentiment Classification](https://md.research.elamur.ai/free/en/papers/wan-2009-co-training-cross-lingual-sentiment/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaojun Wan*2009 · 595 citations*
6. [**HDLTex: Hierarchical Deep Learning for Text Classification ICMLA 2017**Kamran Kowsari, Donald E. Brown, Mojtaba Heidarysafa, et al.*2017 · 532 citations*](https://md.research.elamur.ai/free/en/papers/kowsari-2017-hdltex-hierarchical-deep-learning-text/)
7. [**Adversarial Training Methods for Semi-Supervised Text Classification arXiv:1605.07725**Takeru Miyato, Andrew M. Dai, Ian Goodfellow*2016 · 433 citations*](https://md.research.elamur.ai/free/en/papers/miyato-2016-adversarial-training-methods-semi-supervised/)
8. [**Towards Scalable Speech Act Recognition in Twitter: Tackling Insufficient Training Data Proceedings of the Workshop on Semantic Analysis in Social Media**Renxian Zhang, Dehong Gao, Wenjie Li*2012 · 23 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2012-scalable-speech-act-recognition-twitter/)
9. **[Lexicon Acquisition for Dialectal Arabic Using Transductive Learning](https://md.research.elamur.ai/free/en/papers/duh-2006-lexicon-acquisition-dialectal-arabic-transductive/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Kevin Duh, Katrin Kirchhoff*2006 · 20 citations*

78 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/joachims-1999-transductive-inference-text-classification-svm/) — Transductive Inference for Text Classification using Support Vector Machines