SUC-CORE: A Balanced Corpus Annotated with Noun Phrase Coreference
نویسندگان
چکیده
منابع مشابه
SUC-CORE: A Balanced Corpus Annotated with Noun Phrase Coreference
This paper describes SUC-CORE, a subset of the Stockholm Umeå Corpus and the Swedish Treebank annotated with noun phrase coreference. While most coreference annotated corpora consist of texts of similar types within related domains, SUC-CORE consists of both informative and imaginative prose and covers a wide range of literary genres and domains. This allows for exploration of coreference acros...
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SUC-CORE is a subset of Stockholm Umeå Corpus 2.0 and Swedish Treebank, annotated with noun phrase coreference. While most coreference annotated corpora consist of texts of similar types within related domains, SUC-CORE consists of both informative and imaginative prose and covers a wide range of literary genres and domains.
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In this paper, we present a learning approach for coreference resolution of noun phrases in unrestricted text. The approach learns from a small, annotated corpus and the task includes resolving not just pronouns but rather general noun phrases. In contrast to previous work, we attempt to evaluate our approach on a common data set, the MUC-6 coreference corpus. We obtained encouraging results, i...
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This paper introduces a new, unsupervised algorithm for noun phrase coreference resolution. It differs from existing methods in that it views coreference resolution as a clustering task. In an evaluation on the MUC-6 coreference resolution corpus, the algorithm achieves an F-measure of 53.6%, placing it firmly between the worst (40%) and best (65%) systems in the MUC-6 evaluation. More importan...
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ژورنال
عنوان ژورنال: Northern European Journal of Language Technology
سال: 2013
ISSN: 2000-1533
DOI: 10.3384/nejlt.2000-1533.1332