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The surprising vulnerability of automatic content scoring systems to adversarial input ...
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Measuring feature diversity in Native Language Identification
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Is getting the right answer just about choosing the right words? The role of syntactically-informed features in short answer scoring ...
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ETS Corpus of Non-Native Written English ; Educational Testing Service Corpus of Non-Native Written English
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LFG without C-structures
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In: Cetinoglu, Ozlem, Foster, Jennifer orcid:0000-0002-7789-4853 , Nivre, Joakim, Hogan, Deirdre, Cahill, Aoife orcid:0000-0002-3519-7726 and van Genabith, Josef orcid:0000-0003-1322-7944 (2010) LFG without C-structures. In: the 9th International Workshop on Treebanks and Linguistic Theories, 3 - 4 Dec. 2010, Tartu Estonia. (2010)
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Wide-coverage deep statistical parsing using automatic dependency structure annotation
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In: Cahill, Aoife orcid:0000-0002-3519-7726 , Burke, Michael, O'Donovan, Ruth, Riezler, Stefan, van Genabith, Josef orcid:0000-0003-1322-7944 and Way, Andy orcid:0000-0001-5736-5930 (2008) Wide-coverage deep statistical parsing using automatic dependency structure annotation. Computational Linguistics, 34 (1). pp. 81-124. (2008)
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Exploiting multi-word units in history-based probabilistic generation
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In: Hogan, Deirdre, Cafferkey, Conor, Cahill, Aoife orcid:0000-0002-3519-7726 and van Genabith, Josef (2007) Exploiting multi-word units in history-based probabilistic generation. In: EMNLP-CoNLL 2007 - Joint Meeting of the Conference on Empirical Methods in Natural Language Processing and the Conference on Computational Natural Language Learning, 28-30 June 2007, Prague, Czech Republic. (2007)
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Robust PCFG-based generation using automatically acquired LFG approximations
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In: Cahill, Aoife orcid:0000-0002-3519-7726 and van Genabith, Josef (2006) Robust PCFG-based generation using automatically acquired LFG approximations. In: COLING/ACL 2006 - 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, 17-21 July 2006, Sydney, Australia. (2006)
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Adapting and developing linguistic resources for question answering
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Judge, John. - : Dublin City University. School of Computing, 2006
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In: Judge, John (2006) Adapting and developing linguistic resources for question answering. PhD thesis, Dublin City University. (2006)
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Abstract:
As information retrieval becomes more focussed, so too must the techniques involved in the retrieval process. More precise responses to queries require more precise linguistic analysis of both the queries and the factual documents from which the information is being retrieved. In this thesis, I present research into using existing linguistic tools to analyse questions. These tools, as supplied, often underperform on question analysis. I present my work on adapting these tools, and creating new resources for use in developing new tools tailored to question analysis. My work has shown that in order to adapt the treebank- and f-structure annotation algorithmbased wide coverage LFG parsing resources of Cahill et al. (2004) to analyse questions from the ATIS corpus, only the c-structure parser needs to be retrained, the annotation algorithm remains unchanged. The retrained c-structure parser needs only a small amount of appropriate training data added to its training corpus to gain a significant improvement in both c-structure parsing and f-structure annotation. Given the improvements made with a relatively small amount of question data, I developed QuestionBank, a question treebank, to determine what further gains can be made using a larger amount of question data. My question treebank is a corpus of 4000 parse annotated questions. The questions were taken from a number of sources and the question treebank was “bootstrapped” in an incremental parsing, hand correction and retraining approach from raw data using existing probabilistic parsing resources. Experiments with QuestionBank show that it is an effective resource for training parsers to analyse questions with an improvement of over 10% on the baseline parsing results. In further experiments I show that a parser retrained with QuestionBank can also parse newspaper text (Penn-II Treebank Section 23) with state-of-the-art accuracy. Long distance dependencies (LDDs) are a vital part of question analysis in determining semantic roles and question focus. I have designed and implemented a novel method to recover WH-traces and coindexed antecedents in c-structure trees from parser output which uses the f-structure LDD resolution method of Cahill et al (2004) to resolve the dependencies and then “reverse engineers” the corresponding syntactic components in the c-structure tree.
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Keyword:
Computational linguistics; Computer software; Information retrieval; Question analysis
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URL: http://doras.dcu.ie/17937/
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QuestionBank: creating a corpus of parse-annotated questions
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In: Judge, John, Cahill, Aoife orcid:0000-0002-3519-7726 and van Genabith, Josef (2006) QuestionBank: creating a corpus of parse-annotated questions. In: COLING/ACL 2006 - 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, 17-21 July 2006, Sydney, Australia. (2006)
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Large-scale induction and evaluation of lexical resources from the Penn-II and Penn-III treebanks
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In: O'Donovan, Ruth, Burke, Michael, Cahill, Aoife orcid:0000-0002-3519-7726 , van Genabith, Josef and Way, Andy orcid:0000-0001-5736-5930 (2005) Large-scale induction and evaluation of lexical resources from the Penn-II and Penn-III treebanks. Computational Linguistics, 31 (3). pp. 328-365. ISSN 1530-9312 (2005)
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Evaluating automatically acquired f-structures against PropBank
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In: Burke, Michael, Cahill, Aoife orcid:0000-0002-3519-7726 , van Genabith, Josef and Way, Andy orcid:0000-0001-5736-5930 (2005) Evaluating automatically acquired f-structures against PropBank. In: LFG05 - 10th International Lexical Functional Grammar Conference, 18-20 July 2005, Bergen, Norway. ISBN 1098-6782 (2005)
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