Matches in ScholarlyData for { ?s ?p ?o. }
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- item-3 hasContent yi-zhang.
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- item-4 hasContent timothy-baldwin.
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- item-5 hasContent rebecca-dridan.
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- 795 creator malvina-nissim.
- 795 creator sara-perboni.
- 795 type InProceedings.
- 795 label "The Italian Particle ne : Corpus Construction and Analysis".
- 795 sameAs 795.
- 795 abstract "The Italian particle ne exhibits interesting anaphoric properties that have not been yet explored in depth from a corpus and computational linguistic perspective. We provide: (i) an overview of the phenomenon; (ii) a set of annotation schemes for marking up occurrences of ne ; (iii) the description of a corpus annotated for this phenomenon ; (iv) a first assessment of the resolution task. We show that the schemes we developed are reliable, and that the actual distribution of partitive and non-partitive uses of ne is inversely proportional to the amount of attention that the two different uses have received in the linguistic literature. As an assessment of the complexity of the resolution task, we find that a recency-based baseline yields an accuracy of less than 30% on both development and test data.".
- 795 hasAuthorList authorList.
- 795 hasTopic Linguistics.
- 795 isPartOf proceedings.
- 795 keyword "Anaphora, Coreference".
- 795 keyword "Corpus (creation, annotation, etc.)".
- 795 keyword "Discourse".
- 795 title "The Italian Particle ne : Corpus Construction and Analysis".
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- item-1 hasContent malvina-nissim.
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- item-2 hasContent sara-perboni.
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- 796 creator christopher-chute.
- 796 creator guergana-savova.
- 796 creator philip-ogren.
- 796 type InProceedings.
- 796 label "Constructing Evaluation Corpora for Automated Clinical Named Entity Recognition".
- 796 sameAs 796.
- 796 abstract "We report on the construction of a gold-standard dataset consisting of annotated clinical notes suitable for evaluating our biomedical named entity recognition system. The dataset is the result of consensus between four human annotators and contains 1,556 annotations on 160 clinical notes using 658 unique concept codes from SNOMED-CT corresponding to human disorders. Inter-annotator agreement was calculated on annotations from 100 of the documents for span (90.9%), concept code (81.7%), context (84.8%), and status (86.0%) agreement. Complete agreement for span, concept code, context, and status was 74.6%. We found that creating a consensus set based on annotations from two independently-created annotation sets can reduce inter-annotator disagreement by 32.3%. We found little benefit to pre-annotating the corpus with a third-party named entity recognizer.".
- 796 hasAuthorList authorList.
- 796 hasTopic Linguistics.
- 796 isPartOf proceedings.
- 796 keyword "Corpus (creation, annotation, etc.)".
- 796 keyword "Named Entity recognition".
- 796 keyword "Ontologies".
- 796 title "Constructing Evaluation Corpora for Automated Clinical Named Entity Recognition".
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- item-1 hasContent philip-ogren.
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- item-2 hasContent guergana-savova.
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- item-3 hasContent christopher-chute.
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- 797 creator david-hardcastle.
- 797 creator donia-scott.
- 797 type InProceedings.
- 797 label "Can we Evaluate the Quality of Generated Text?".
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- 797 abstract "Evaluating the output of NLG systems is notoriously difficult, and performing assessments of text quality even more so. A range of automated and subject-based approaches to the evaluation of text quality have been taken, including comparison with a putative gold standard text, analysis of specific linguistic features of the output, expert review and task-based evaluation. In this paper we present the results of a variety of such approaches in the context of a case study application. We discuss the problems encountered in the implementation of each approach in the context of the literature, and propose that a test based on the Turing test for machine intelligence offers a way forward in the evaluation of the subjective notion of text quality.".
- 797 hasAuthorList authorList.
- 797 hasTopic Linguistics.
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- 797 keyword "Evaluation methodologies".
- 797 keyword "Generation".
- 797 keyword "Other".
- 797 title "Can we Evaluate the Quality of Generated Text?".
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- item-1 hasContent david-hardcastle.
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- item-2 hasContent donia-scott.
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- 798 creator mats-rooth.
- 798 creator tejaswini-deoskar.
- 798 type InProceedings.
- 798 label "Induction of Treebank-Aligned Lexical Resources".
- 798 sameAs 798.
- 798 abstract "We describe the induction of lexical resources from unannotated corpora that are aligned with treebank grammars, providing a systematic correspondence between features in the lexical resource and a treebank syntactic resource. We first describe a methodology based on parsing technology for augmenting a treebank database with linguistic features. A PCFG containing these features is created from the augmented treebank. We then use a procedure based on the inside-outside algorithm to learn lexical resources aligned with the treebank PCFG from large unannotated corpora. The method has been applied in creating a feature-annotated English treebank based on the Penn Treebank. The unsupervised estimation procedure gives a substantial error reduction (up to 31.6%) on the task of learning the subcategorization preference of novel verbs that are not present in the annotated training sample.".
- 798 hasAuthorList authorList.
- 798 hasTopic Linguistics.
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