Rebecca Dridan


2014

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Simple Negation Scope Resolution through Deep Parsing: A Semantic Solution to a Semantic Problem
Woodley Packard | Emily M. Bender | Jonathon Read | Stephan Oepen | Rebecca Dridan
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

2013

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Simple and Accountable Segmentation of Marked-up Text
Jonathon Read | Rebecca Dridan | Stephan Oepen
Proceedings of the 19th Nordic Conference of Computational Linguistics (NODALIDA 2013)

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On Different Approaches to Syntactic Analysis Into Bi-Lexical Dependencies. An Empirical Comparison of Direct, PCFG-Based, and HPSG-Based Parsers
Angelina Ivanova | Stephan Oepen | Rebecca Dridan | Dan Flickinger | Lilja Øvrelid
Proceedings of the 13th International Conference on Parsing Technologies (IWPT 2013)

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Document Parsing: Towards Realistic Syntactic Analysis
Rebecca Dridan | Stephan Oepen
Proceedings of the 13th International Conference on Parsing Technologies (IWPT 2013)

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Ubertagging: Joint Segmentation and Supertagging for English
Rebecca Dridan
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing

2012

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Tokenization: Returning to a Long Solved Problem — A Survey, Contrastive Experiment, Recommendations, and Toolkit —
Rebecca Dridan | Stephan Oepen
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

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The WeSearch Corpus, Treebank, and Treecache – A Comprehensive Sample of User-Generated Content
Jonathon Read | Dan Flickinger | Rebecca Dridan | Stephan Oepen | Lilja Øvrelid
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)

We present the WeSearch Data Collection (WDC)―a freely redistributable, partly annotated, comprehensive sample of User-Generated Content. The WDC contains data extracted from a range of genres of varying formality (user forums, product review sites, blogs and Wikipedia) and covers two different domains (NLP and Linux). In this article, we describe the data selection and extraction process, with a focus on the extraction of linguistic content from different sources. We present the format of syntacto-semantic annotations found in this resource and present initial parsing results for these data, as well as some reflections following a first round of treebanking.

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Sentence Boundary Detection: A Long Solved Problem?
Jonathon Read | Rebecca Dridan | Stephan Oepen | Lars Jørgen Solberg
Proceedings of COLING 2012: Posters

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The Effects of Semantic Annotations on Precision Parse Ranking
Andrew MacKinlay | Rebecca Dridan | Diana McCarthy | Timothy Baldwin
*SEM 2012: The First Joint Conference on Lexical and Computational Semantics – Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation (SemEval 2012)

2011

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Treeblazing: Using External Treebanks to Filter Parse Forests for Parse Selection and Treebanking
Andrew MacKinlay | Rebecca Dridan | Dan Flickinger | Stephan Oepen | Timothy Baldwin
Proceedings of 5th International Joint Conference on Natural Language Processing

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Parser Evaluation Using Elementary Dependency Matching
Rebecca Dridan | Stephan Oepen
Proceedings of the 12th International Conference on Parsing Technologies

2010

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Unsupervised Parse Selection for HPSG
Rebecca Dridan | Timothy Baldwin
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing

2008

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Enhancing Performance of Lexicalised Grammars
Rebecca Dridan | Valia Kordoni | Jeremy Nicholson
Proceedings of ACL-08: HLT

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Evaluating and Extending the Coverage of HPSG Grammars: A Case Study for German
Jeremy Nicholson | Valia Kordoni | Yi Zhang | Timothy Baldwin | Rebecca Dridan
Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)

In this work, we examine and attempt to extend the coverage of a German HPSG grammar. We use the grammar to parse a corpus of newspaper text and evaluate the proportion of sentences which have a correct attested parse, and analyse the cause of errors in terms of lexical or constructional gaps which prevent parsing. Then, using a maximum entropy model, we evaluate prediction of lexical types in the HPSG type hierarchy for unseen lexemes. By automatically adding entries to the lexicon, we observe that we can increase coverage without substantially decreasing precision.

2006

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Sentence Comparison Using Robust Minimal Recursion Semantics and an Ontology
Rebecca Dridan | Francis Bond
Proceedings of the Workshop on Linguistic Distances