---
title: "Who cites A Maximum Entropy Model for Prepositional Phrase…"
description: "74 papers of the Elamur Research library cite «A Maximum Entropy Model for Prepositional Phrase Attachment», found in their bibliographies; the most…"
canonical: "https://research.elamur.ai/free/en/papers/ratnaparkhi-1994-maximum-entropy-model-prepositional-phrase/cited-by/"
---
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# Who cites «A Maximum Entropy Model for Prepositional Phrase Attachment»

74 papers of our library cite it (of the 140,884 whose bibliographies we read) · 14 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/ratnaparkhi-1994-maximum-entropy-model-prepositional-phrase/)

1. [**A Maximum Entropy Model for Part-Of-Speech Tagging**Adwait Ratnaparkhi*1996 · 1,554 citations*](https://md.research.elamur.ai/free/en/papers/ratnaparkhi-1996-maximum-entropy-model-part-speech/)
2. [**Experiments with a Higher-Order Projective Dependency Parser**Xavier Carreras*2007 · 358 citations*](https://md.research.elamur.ai/free/en/papers/carreras-2007-experiments-higher-order-projective-dependency/)
3. [**An Unsupervised Approach to Prepositional Phrase Attachment using Contextually Similar Words**Patrick Pantel, Dekang Lin*2000 · 103 citations*](https://md.research.elamur.ai/free/en/papers/pantel-2000-unsupervised-approach-prepositional-phrase-attachment/)
4. [**The Notion of Argument in Prepositional Phrase Attachment**Paola Merlo, Eva Esteve Ferrer*2006 · 75 citations*](https://md.research.elamur.ai/free/en/papers/merlo-2006-notion-argument-prepositional-phrase-attachment/)
5. [**Generalizing Case Frames Using a Thesaurus and the MDL Principle**Hang Li, Naoki Abe*1998 · 53 citations*](https://md.research.elamur.ai/free/en/papers/li-1998-generalizing-case-frames-thesaurus-mdl/)
6. [**Exploring Compositional Architectures and Word Vector Representations for Prepositional Phrase Attachment**Yonatan Belinkov, Tao Lei, Regina Barzilay, et al.*2014 · 45 citations*](https://md.research.elamur.ai/free/en/papers/belinkov-2014-exploring-compositional-architectures-word-vector/)
7. [**Ontology-Aware Token Embeddings for Prepositional Phrase Attachment**Pradeep Dasigi, Waleed Ammar, Chris Dyer, et al.*2017 · 35 citations*](https://md.research.elamur.ai/free/en/papers/dasigi-2017-ontology-aware-token-embeddings-prepositional/)
8. [**Prepositional Phrase Attachment without Oracles**Michaela Atterer, Hinrich Schütze*2007 · 28 citations*](https://md.research.elamur.ai/free/en/papers/atterer-2007-squibs-prepositional-phrase-attachment-without/)
9. [**Towards Semi-Automated Annotation for Prepositional Phrase Attachment**Sara Rosenthal, William Lipovsky, Kathleen McKeown, et al.*2010 · 10 citations*](https://md.research.elamur.ai/free/en/papers/rosenthal-2010-semi-automated-annotation-prepositional-phrase/)
10. [**How Bad is the Problem of PP-Attachment? A Comparison of English, German and Swedish**Martin Volk*2006 · 9 citations*](https://md.research.elamur.ai/free/en/papers/volk-2006-how-bad-is-problem-pp/)
11. [**Prepositional Phrase Attachment Problem Revisited: How VERBNET Can Help**Daniel Bailey, Yuliya Lierler, Benjamin Susman*2015 · 7 citations*](https://md.research.elamur.ai/free/en/papers/bailey-2015-prepositional-phrase-attachment-problem-revisited/)
12. [**Resolving Prepositional Phrase Attachment Ambiguities with Contextualized Word Embeddings**Adwait Ratnaparkhi, Atul Kumar*2021 · 1 citation*](https://md.research.elamur.ai/free/en/papers/ratnaparkhi-2021-resolving-prepositional-phrase-attachment-ambiguities/)
13. [**Prepositional Phrase Attachment over Word Embedding Products**Pranava Swaroop Madhyastha, Xavier Carreras, Ariadna Quattoni*2017 · 1 citation*](https://md.research.elamur.ai/free/en/papers/madhyastha-2017-prepositional-phrase-attachment-over-word/)
14. [**A Labelled Corpus for Prepositional Phrase Attachment**Brian Mitchell, Robert Gaizauskas*2004*](https://md.research.elamur.ai/free/en/papers/mitchell-2004-labelled-corpus-prepositional-phrase-attachment/)

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

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