Dan Flickinger

Also published as: D. Flickenger, Daniel Flickinger, Daniel P. Flickinger


2019

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The ERG at MRP 2019: Radically Compositional Semantic Dependencies
Stephan Oepen | Dan Flickinger
Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 Conference on Natural Language Learning

The English Resource Grammar (ERG) is a broad-coverage computational grammar of English that outputs underspecified logical-form representations of meaning in a framework dubbed English Resource Semantics (ERS). Two of the target representations in the the 2019 Shared Task on Cross-Framework Meaning Representation Parsing (MRP 2019) derive graph-based simplifications of ERS, viz. Elementary Dependency Structures (EDS) and DELPH-IN MRS Bi-Lexical Dependencies (DM). As a point of reference outside the official MRP competition, we parsed the evaluation strings using the ERG and converted the resulting meaning representations to EDS and DM. These graphs yield higher evaluation scores than the purely data-driven parsers in the actual shared task, suggesting that the general-purpose linguistic knowledge about English grammar encoded in the ERG can add value when parsing into these meaning representations.

2016

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UW-Stanford System Description for AESW 2016 Shared Task on Grammatical Error Detection
Dan Flickinger | Michael Goodman | Woodley Packard
Proceedings of the 11th Workshop on Innovative Use of NLP for Building Educational Applications

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English Resource Semantics
Dan Flickinger | Emily M. Bender | Woodley Packard
Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Tutorial Abstracts

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Towards Comparability of Linguistic Graph Banks for Semantic Parsing
Stephan Oepen | Marco Kuhlmann | Yusuke Miyao | Daniel Zeman | Silvie Cinková | Dan Flickinger | Jan Hajič | Angelina Ivanova | Zdeňka Urešová
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)

We announce a new language resource for research on semantic parsing, a large, carefully curated collection of semantic dependency graphs representing multiple linguistic traditions. This resource is called SDP~2016 and provides an update and extension to previous versions used as Semantic Dependency Parsing target representations in the 2014 and 2015 Semantic Evaluation Exercises. For a common core of English text, this third edition comprises semantic dependency graphs from four distinct frameworks, packaged in a unified abstract format and aligned at the sentence and token levels. SDP 2016 is the first general release of this resource and available for licensing from the Linguistic Data Consortium in May 2016. The data is accompanied by an open-source SDP utility toolkit and system results from previous contrastive parsing evaluations against these target representations.

2015

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SemEval 2015 Task 18: Broad-Coverage Semantic Dependency Parsing
Stephan Oepen | Marco Kuhlmann | Yusuke Miyao | Daniel Zeman | Silvie Cinková | Dan Flickinger | Jan Hajič | Zdeňka Urešová
Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015)

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Layers of Interpretation: On Grammar and Compositionality
Emily M. Bender | Dan Flickinger | Stephan Oepen | Woodley Packard | Ann Copestake
Proceedings of the 11th International Conference on Computational Semantics

2014

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SemEval 2014 Task 8: Broad-Coverage Semantic Dependency Parsing
Stephan Oepen | Marco Kuhlmann | Yusuke Miyao | Daniel Zeman | Dan Flickinger | Jan Hajič | Angelina Ivanova | Yi Zhang
Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014)

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Towards an Encyclopedia of Compositional Semantics: Documenting the Interface of the English Resource Grammar
Dan Flickinger | Emily M. Bender | Stephan Oepen
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)

We motivate and describe the design and development of an emerging encyclopedia of compositional semantics, pursuing three objectives. We first seek to compile a comprehensive catalogue of interoperable semantic analyses, i.e., a precise characterization of meaning representations for a broad range of common semantic phenomena. Second, we operationalize the discovery of semantic phenomena and their definition in terms of what we call their semantic fingerprint, a formal account of the building blocks of meaning representation involved and their configuration. Third, we ground our work in a carefully constructed semantic test suite of minimal exemplars for each phenomenon, along with a `target’ fingerprint that enables automated regression testing. We work towards these objectives by codifying and documenting the body of knowledge that has been constructed in a long-term collaborative effort, the development of the LinGO English Resource Grammar. Documentation of its semantic interface is a prerequisite to use by non-experts of the grammar and the analyses it produces, but this effort also advances our own understanding of relevant interactions among phenomena, as well as of areas for future work in the grammar.

2013

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Toward More Precision in Correction of Grammatical Errors
Dan Flickinger | Jiye Yu
Proceedings of the Seventeenth Conference on Computational Natural Language Learning: Shared Task

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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)

2012

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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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Who Did What to Whom? A Contrastive Study of Syntacto-Semantic Dependencies
Angelina Ivanova | Stephan Oepen | Lilja Øvrelid | Dan Flickinger
Proceedings of the Sixth Linguistic Annotation Workshop

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Multimodal Grammar Implementation
Katya Alahverdzhieva | Dan Flickinger | Alex Lascarides
Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

2011

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Parser Evaluation over Local and Non-Local Deep Dependencies in a Large Corpus
Emily M. Bender | Dan Flickinger | Stephan Oepen | Yi Zhang
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing

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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

2010

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WikiWoods: Syntacto-Semantic Annotation for English Wikipedia
Dan Flickinger | Stephan Oepen | Gisle Ytrestøl
Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)

WikiWoods is an ongoing initiative to provide rich syntacto-semantic annotations for English Wikipedia. We sketch an automated processing pipeline to extract relevant textual content from Wikipedia sources, segment documents into sentence-like units, parse and disambiguate using a broad-coverage precision grammar, and support the export of syntactic and semantic information in various formats. The full parsed corpus is accompanied by a subset of Wikipedia articles for which gold-standard annotations in the same format were produced manually. This subset was selected to represent a coherent domain, Wikipedia entries on the broad topic of Natural Language Processing.

2008

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Some Fine Points of Hybrid Natural Language Parsing
Peter Adolphs | Stephan Oepen | Ulrich Callmeier | Berthold Crysmann | Dan Flickinger | Bernd Kiefer
Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)

Large-scale grammar-based parsing systems nowadays increasingly rely on independently developed, more specialized components for pre-processing their input. However, different tools make conflicting assumptions about very basic properties such as tokenization. To make linguistic annotation gathered in pre-processing available to “deep” parsing, a hybrid NLP system needs to establish a coherent mapping between the two universes. Our basic assumption is that tokens are best described by attribute value matrices (AVMs) that may be arbitrarily complex. We propose a powerful resource-sensitive rewrite formalism, “chart mapping”, that allows us to mediate between the token descriptions delivered by shallow pre-processing components and the input expected by the grammar. We furthermore propose a novel way of unknown word treatment where all generic lexical entries are instantiated that are licensed by a particular token AVM. Again, chart mapping is used to give the grammar writer full control as to which items (e.g. native vs. generic lexical items) enter syntactic parsing. We discuss several further uses of the original idea and report on early experiences with the new machinery.

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Hybrid Processing for Grammar and Style Checking
Berthold Crysmann | Nuria Bertomeu | Peter Adolphs | Daniel Flickinger | Tina Klüwer
Proceedings of the 22nd International Conference on Computational Linguistics (Coling 2008)

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Coling 2008: Proceedings of the workshop on Cross-Framework and Cross-Domain Parser Evaluation
Johan Bos | Edward Briscoe | Aoife Cahill | John Carroll | Stephen Clark | Ann Copestake | Dan Flickinger | Josef van Genabith | Julia Hockenmaier | Aravind Joshi | Ronald Kaplan | Tracy Holloway King | Sandra Kuebler | Dekang Lin | Jan Tore Lønning | Christopher Manning | Yusuke Miyao | Joakim Nivre | Stephan Oepen | Kenji Sagae | Nianwen Xue | Yi Zhang
Coling 2008: Proceedings of the workshop on Cross-Framework and Cross-Domain Parser Evaluation

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Toward a Cross-Framework Parser Annotation Standard
Dan Flickinger
Coling 2008: Proceedings of the workshop on Cross-Framework and Cross-Domain Parser Evaluation

2007

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Towards hybrid quality-oriented machine translation – on linguistics and probabilities in MT
Stephan Oepen | Erik Velldal | Jan Tore Lønning | Paul Meurer | Victoria Rosén | Dan Flickinger
Proceedings of the 11th Conference on Theoretical and Methodological Issues in Machine Translation of Natural Languages: Papers

2006

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Identifying Complex Phenomena in a Corpus via a Treebank Lens
Dan Flickinger
Proceedings of the 11th Annual conference of the European Association for Machine Translation

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Multilingual Ontology Acquisition from Multiple MRDs
Eric Nichols | Francis Bond | Takaaki Tanaka | Sanae Fujita | Dan Flickinger
Proceedings of the 2nd Workshop on Ontology Learning and Population: Bridging the Gap between Text and Knowledge

2005

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SEM-I Rational MT: Enriching Deep Grammars with a Semantic Interface for Scalable Machine Translation
Dan Flickinger | Jan Tore Lønning | Helge Dyvik | Stephan Oepen | Francis Bond
Proceedings of Machine Translation Summit X: Papers

In the LOGON machine translation system where semantic transfer using Minimal Recursion Semantics is being developed in conjunction with two existing broad-coverage grammars of Norwegian and English, we motivate the use of a grammar-specific semantic interface (SEM-I) to facilitate the construction and maintenance of a scalable translation engine. The SEM-I is a theoretically grounded component of each grammar, capturing several classes of lexical regularities while also serving the crucial engineering function of supplying a reliable and complete specification of the elementary predications the grammar can realize. We make extensive use of underspecification and type hierarchies to maximize generality and precision.

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Open Source Machine Translation with DELPH-IN
Francis Bond | Stephan Oepen | Melanie Siegel | Ann Copestake | Dan Flickinger
Workshop on open-source machine translation

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Dimensions of Deep Grammar Validation
Dan Flickinger
Proceedings of the Australasian Language Technology Workshop 2005

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Holistic regression testing for high-quality MT: some methodological and technological reflections
Stephan Oepen | Helge Dyvik | Dan Flickinger | Jan Tore Lønning | Paul Meurer | Victoria Rosén
Proceedings of the 10th EAMT Conference: Practical applications of machine translation

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Rapid Prototyping of Scalable Grammars: Towards Modularity in Extensions to a Language-Independent Core
Emily M. Bender | Dan Flickinger
Companion Volume to the Proceedings of Conference including Posters/Demos and tutorial abstracts

2004

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Som å kapp-ete med trollet? – Towards MRS-based Norwegian-English machine translation
Stephan Oepen | Helge Dyvik | Jan Tore Lønning | Erik Velldal | Dorothee Beerman | John Carroll | Dan Flickinger | Lars Hellan | Janne Bondi Johannessen | Paul Meurer | Torbjørn Nordgård | Victoria Rosén
Proceedings of the 10th Conference on Theoretical and Methodological Issues in Machine Translation of Natural Languages

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A Lexicon Module for a Grammar Development Environment
Ann Copestake | Fabre Lambeau | Benjamin Waldron | Francis Bond | Dan Flickinger | Stephan Oepen
Proceedings of the Fourth International Conference on Language Resources and Evaluation (LREC’04)

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Road-testing the English Resource Grammar Over the British National Corpus
Timothy Baldwin | Emily M. Bender | Dan Flickinger | Ara Kim | Stephan Oepen
Proceedings of the Fourth International Conference on Language Resources and Evaluation (LREC’04)

2002

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Multiword expressions: linguistic precision and reusability
Ann Copestake | Fabre Lambeau | Aline Villavicencio | Francis Bond | Timothy Baldwin | Ivan A. Sag | Dan Flickinger
Proceedings of the Third International Conference on Language Resources and Evaluation (LREC’02)

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The LinGO Redwoods Treebank: Motivation and Preliminary Applications
Stephan Oepen | Kristina Toutanova | Stuart Shieber | Christopher Manning | Dan Flickinger | Thorsten Brants
COLING 2002: The 17th International Conference on Computational Linguistics: Project Notes

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The Grammar Matrix: An Open-Source Starter-Kit for the Rapid Development of Cross-linguistically Consistent Broad-Coverage Precision Grammars
Emily M. Bender | Dan Flickinger | Stephan Oepen
COLING-02: Grammar Engineering and Evaluation

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Parallel Distributed Grammar Engineering for Practical Applications
Stephan Oepen | Emily M. Bender | Uli Callmeier | Dan Flickinger | Melanie Siegel
COLING-02: Grammar Engineering and Evaluation

2001

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Using an Open-Source Unification-Based System for CL/NLP Teaching
Anne Copestake | John Carroll | Dan Flickinger | Robert Malouf | Stephan Oepen
Proceedings of the ACL 2001 Workshop on Sharing Tools and Resources

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An Algebra for Semantic Construction in Constraint-based Grammars
Ann Copestake | Alex Lascarides | Dan Flickinger
Proceedings of the 39th Annual Meeting of the Association for Computational Linguistics

2000

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An Open Source Grammar Development Environment and Broad-coverage English Grammar Using HPSG
Ann Copestake | Dan Flickinger
Proceedings of the Second International Conference on Language Resources and Evaluation (LREC’00)

1995

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Translation using Minimal Recursion Semantics
Ann Copestake | Dan Flickinger | Rob Malouf | Susanne Riehemann | Ivan Sag
Proceedings of the Sixth Conference on Theoretical and Methodological Issues in Machine Translation of Natural Languages

1992

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Inheritance and Complementation: a Case Study of Easy Adjectives and Related Nouns
Dan Flickinger | John Nerbonne
Computational Linguistics, Volume 18, Number 3, September 1992, Special Issue on Inheritance: II

1991

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A Procedure for Quantitatively Comparing the Syntactic Coverage of English Grammars
E. Black | S. Abney | D. Flickenger | C. Gdaniec | R. Grishman | P. Harrison | D. Hindle | R. Ingria | F. Jelinek | J. Klavans | M. Liberman | M. Marcus | S. Roukos | B. Santorini | T. Strzalkowski
Speech and Natural Language: Proceedings of a Workshop Held at Pacific Grove, California, February 19-22, 1991

1985

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Structure-Sharing in Lexical Representation
Daniel Flickinger | Carl Pollard | Thomas Wasow
23rd Annual Meeting of the Association for Computational Linguistics

1984

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Panel on Natural Language and Databases
Daniel P. Flickinger
10th International Conference on Computational Linguistics and 22nd Annual Meeting of the Association for Computational Linguistics

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