---
title: "Who cites Labeled LDA: A supervised topic — 86 citing papers"
description: "86 papers of the Elamur Research library cite «Labeled LDA: A supervised topic model for credit attribution in multi-labeled corpora», found in…"
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---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Labeled LDA: A supervised topic model for credit…](https://md.research.elamur.ai/free/en/papers/ramage-2009-labeled-lda-supervised-topic-model/) / cited by

# Who cites «Labeled LDA: A supervised topic model for credit attribution in multi-labeled corpora»

86 papers of our library cite it (of the 141,840 whose bibliographies we read) · 4 with a page here, the most cited first · [← back to «Labeled LDA: A supervised topic model for credit attribution in multi-labeled corpora»](https://md.research.elamur.ai/free/en/papers/ramage-2009-labeled-lda-supervised-topic-model/)

1. **[Named Entity Recognition in Tweets: An Experimental Study](https://md.research.elamur.ai/free/en/papers/ritter-2011-named-entity-recognition-tweets-experimental/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Alan Ritter, Sam Clark, Mausam, et al.*2011 · 1,456 citations*
2. **[Neural Discourse Structure for Text Categorization](https://md.research.elamur.ai/free/en/papers/ji-2017-neural-discourse-structure-text-categorization/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yangfeng Ji, Noah A. Smith*2017 · 180 citations*
3. **[Automatic Detection and Language Identification of Multilingual Documents](https://md.research.elamur.ai/free/en/papers/lui-2014-automatic-detection-language-identification-multilingual/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Marco Lui, Jey Han Lau, Timothy Baldwin*2014 · 157 citations*
4. **[‘Who would have thought of that!': A Hierarchical Topic Model for Extraction of Sarcasm-prevalent Topics and Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/joshi-2016-who-would-have-thought-that/) [Workshop on Extra-Propositional Aspects of Meaning in Computational Linguistics](https://md.research.elamur.ai/free/en/venues/workshop-on-extra-propositional-aspects-of-meaning-in-computational-linguistics/)**Aditya Joshi, Prayas Jain, Pushpak Bhattacharyya, et al.*2016 · 5 citations*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/ramage-2009-labeled-lda-supervised-topic-model/) — Labeled LDA: A supervised topic model for credit attribution in multi-labeled corpora