Ryan Georgi


2021

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Proceedings of the Fifth Workshop on Widening Natural Language Processing
Erika Varis | Ryan Georgi | Alicia Tsai | Antonios Anastasopoulos | Kyathi Chandu | Xanda Schofield | Surangika Ranathunga | Haley Lepp | Tirthankar Ghosal
Proceedings of the Fifth Workshop on Widening Natural Language Processing

2020

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Proceedings of the The Fourth Widening Natural Language Processing Workshop
Rossana Cunha | Samira Shaikh | Erika Varis | Ryan Georgi | Alicia Tsai | Antonios Anastasopoulos | Khyathi Raghavi Chandu
Proceedings of the The Fourth Widening Natural Language Processing Workshop

2018

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PDF-to-Text Reanalysis for Linguistic Data Mining
Michael Wayne Goodman | Ryan Georgi | Fei Xia
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)

2016

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A Web-framework for ODIN Annotation
Ryan Georgi | Michael Wayne Goodman | Fei Xia
Proceedings of ACL-2016 System Demonstrations

2015

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Enriching Interlinear Text using Automatically Constructed Annotators
Ryan Georgi | Fei Xia | William Lewis
Proceedings of the 9th SIGHUM Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities (LaTeCH)

2013

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Enhanced and Portable Dependency Projection Algorithms Using Interlinear Glossed Text
Ryan Georgi | Fei Xia | William D. Lewis
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

2012

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Measuring the Divergence of Dependency Structures Cross-Linguistically to Improve Syntactic Projection Algorithms
Ryan Georgi | Fei Xia | William Lewis
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)

Syntactic parses can provide valuable information for many NLP tasks, such as machine translation, semantic analysis, etc. However, most of the world's languages do not have large amounts of syntactically annotated corpora available for building parsers. Syntactic projection techniques attempt to address this issue by using parallel corpora between resource-poor and resource-rich languages, bootstrapping the resource-poor language with the syntactic analysis of the resource-rich language. In this paper, we investigate the possibility of using small, parallel, annotated corpora to automatically detect divergent structural patterns between two languages. These patterns can then be used to improve structural projection algorithms, allowing for better performing NLP tools for resource-poor languages, in particular those that may not have large amounts of annotated data necessary for traditional, fully-supervised methods. While this detection process is not exhaustive, we demonstrate that important instances of divergence are picked up with minimal prior knowledge of a given language pair.

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Improving Dependency Parsing with Interlinear Glossed Text and Syntactic Projection
Ryan Georgi | Fei Xia | William Lewis
Proceedings of COLING 2012: Posters

2010

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Comparing Language Similarity across Genetic and Typologically-Based Groupings
Ryan Georgi | Fei Xia | William Lewis
Proceedings of the 23rd International Conference on Computational Linguistics (Coling 2010)