The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
The Proposition Bank: An Annotated Corpus of Semantic Roles
Open accessAbstract
The Proposition Bank project takes a practical approach to semantic representation, adding a layer of predicate-argument information, or semantic role labels, to the syntactic structures of the Penn Treebank. The resulting resource can be thought of as shallow, in that it does not represent coreference, quantification, and many other higher-order phenomena, but also broad, in that it covers every instance of every verb in the corpus and allows representative statistics to be calculated. We discuss the criteria used to define the sets of semantic roles used in the annotation process and to analyze the frequency of syntactic/semantic alternations in the corpus. We describe an automatic system for semantic role tagging trained on the corpus and discuss the effect on its performance of various types of information, including a comparison of full syntactic parsing with a flat representation and the contribution of the empty “trace” categories of the treebank.
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Building a Large Annotated Corpus of English: The Penn Treebank
Marcus, M. (1993) · doi:10.21236/ada273556 · Cited by 7,405
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Natural Language Processing (almost) from Scratch
Collobert, R., Weston, J., Bottou, L., Karlen, M., Kavukcuoglu, K., & Kuksa, P. P. (2011) · arXiv (Cornell University) · doi:10.48550/arxiv.1103.0398 · Cited by 4,962
Cheap and fast---but is it good?: evaluating non-expert annotations for natural language tasks
Snow, R., O'Connor, B., Jurafsky, D., & Ng, A. Y. (2008) · Proceedings of the Conference on Empirical Methods in Natural Language Processing - EMNLP '08 · doi:10.3115/1613715.1613751 · Cited by 1,887
Natural language processing: state of the art, current trends and challenges
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Metadata
- Authors
- Palmer, M., Gildea, D., & Kingsbury, P.
- Venue
- Computational Linguistics
- Publisher
- MIT Press
- Published
- 2005-03
- Volume
- 31
- Issue
- 1
- Pages
- 71-106
- ISSN
- 0891-2017 (ISSN-L)
- 1530-9312
- OpenAlex
- W2158847908
- Cited by
- 2,273
- References
- 1
- FWCI
- 104.43
- Type
- journal article
- Language
- en
- Open access
- bronze
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