---
title: "Who cites Backoff Model Training using — 8 citing papers"
description: "8 papers of the Elamur Research library cite «Backoff Model Training using Partially Observed Data: Application to Dialog Act Tagging»…"
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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/) / [Backoff Model Training using Partially Observed…](https://md.research.elamur.ai/free/en/papers/ji-2006-backoff-model-training-partially-observed/) / cited by

# Who cites «Backoff Model Training using Partially Observed Data: Application to Dialog Act Tagging»

8 papers of our library cite it (of the 149,439 whose bibliographies we read) · 4 with a page here, the most cited first · [← back to «Backoff Model Training using Partially Observed Data: Application to Dialog Act Tagging»](https://md.research.elamur.ai/free/en/papers/ji-2006-backoff-model-training-partially-observed/)

1. **[Dialogue Act Classification in Domain-Independent Conversations Using a Deep Recurrent Neural Network](https://md.research.elamur.ai/free/en/papers/khanpour-2016-dialogue-act-classification-domain-independent/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Hamed Khanpour, Nishitha Guntakandla, Rodney Nielsen*2016 · 134 citations*
2. **[Neural-based Context Representation Learning for Dialog Act Classification](https://md.research.elamur.ai/free/en/papers/ortega-2017-neural-based-context-representation-learning/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Daniel Ortega, Ngoc Thang Vu*2017 · 51 citations*
3. **[Automatic Extraction of Cue Phrases for Cross-Corpus Dialogue Act Classification](https://md.research.elamur.ai/free/en/papers/webb-2010-automatic-extraction-cue-phrases-cross/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Nick Webb, Michael Ferguson*2010 · 26 citations*
4. **[Lexico-acoustic Neural-based Models for Dialog Act Classification](https://md.research.elamur.ai/free/en/papers/ortega-2018-lexico-acoustic-neural-based-models/) [IEEE International Conference on Acoustics Speech and Signal Processing](https://md.research.elamur.ai/free/en/venues/ieee-international-conference-on-acoustics-speech-and-signal-processing/)**Daniel Ortega, Ngoc Thang Vu*2018 · 21 citations*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/ji-2006-backoff-model-training-partially-observed/) — Backoff Model Training using Partially Observed Data: Application to Dialog Act Tagging