Matches in ScholarlyData for { ?s ?p ?o. }
- 644 keyword "Acquisition, Machine Learning".
- 644 keyword "Cognitive methods".
- 644 keyword "Other".
- 644 title "Learning properties of Noun Phrases: from data to functions".
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- item-1 hasContent valeria-quochi.
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- item-2 hasContent basilio-calderone.
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- 645 creator christian-girardi.
- 645 creator emanuele-pianta.
- 645 creator roberto-zanoli.
- 645 type InProceedings.
- 645 label "The TextPro Tool Suite".
- 645 sameAs 645.
- 645 abstract "We present TextPro, a suite of modular Natural Language Processing (NLP) tools for analysis of Italian and English texts. The suite has been designed so as to integrate and reuse state of the art NLP components developed by researchers at FBK. The current version of the tool suite provides functions ranging from tokenization to chunking and Named Entity Recognition (NER). The system s architecture is organized as a pipeline of processors wherein each stage accepts data from an initial input or from an output of a previous stage, executes a specific task, and sends the resulting data to the next stage, or to the output of the pipeline. TextPro performed the best on the task of Italian NER and Italian PoS Tagging at EVALITA 2007. When tested on a number of other standard English benchmarks, TextPro confirms that it performs as state of the art system. Distributions for Linux, Solaris and Windows are available, for both research and commercial purposes. A web-service version of the system is under development.".
- 645 hasAuthorList authorList.
- 645 hasTopic Linguistics.
- 645 isPartOf proceedings.
- 645 keyword "Information Extraction, Information Retrieval".
- 645 keyword "Tagging".
- 645 keyword "Tools, systems, applications".
- 645 title "The TextPro Tool Suite".
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- item-1 hasContent emanuele-pianta.
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- 647 creator chris-wolf.
- 647 creator keith-j-miller.
- 647 creator mark-arehart.
- 647 type InProceedings.
- 647 label "Adjudicator Agreement and System Rankings for Person Name Search".
- 647 sameAs 647.
- 647 abstract "We have analyzed system rankings for person name search algorithms using a data set for which several versions of ground truth were developed by employing different means of resolving adjudicator conflicts. Thirteen algorithms were ranked by F-score, using bootstrap resampling for significance testing, on a dataset containing 70,000 romanized names from various cultures. We found some disagreement among the four adjudicators, with kappa ranging from 0.57 to 0.78. Truth sets based on a single adjudicator, and on the intersection or union of positive adjudications produced sizeable variability in scoring sensitivity - and to a lesser degree rank order - compared to the consensus truth set. However, results on truth sets constructed by randomly choosing an adjudicator for each item were highly consistent with the consensus. The implication is that an evaluation where one adjudicator has judged each item is nearly as good as a more expensive and labor-intensive one where multiple adjudicators have judged each item and conflicts are resolved through voting.".
- 647 hasAuthorList authorList.
- 647 hasTopic Linguistics.
- 647 isPartOf proceedings.
- 647 keyword "Corpus (creation, annotation, etc.)".
- 647 keyword "Evaluation methodologies".
- 647 keyword "Information Extraction, Information Retrieval".
- 647 title "Adjudicator Agreement and System Rankings for Person Name Search".
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- item-1 hasContent mark-arehart.
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- 648 creator chris-reed.
- 648 creator glenn-rowe.
- 648 creator marie-francine-moens.
- 648 creator raquel-mochales-palau.
- 648 type InProceedings.
- 648 label "Language Resources for Studying Argument".
- 648 sameAs 648.
- 648 abstract "This paper describes the development of a written corpus of argumentative reasoning. Arguments in the corpus have been analysed using state of the art techniques from argumentation theory and have been marked up using an open, reusable markup language. A number of the key challenges enountered during the process are explored, and preliminary observations about features such as inter-coder reliability and corpus statistics are discussed. In addition, several examples are offered of how this kind of language resource can be used in linguistic, computational and philosophical research, and in particular, how the corpus has been used to initiate a programme investigating the automatic detection of argumentative structure.".
- 648 hasAuthorList authorList.
- 648 hasTopic Linguistics.
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- 648 keyword "Acquisition, Machine Learning".
- 648 keyword "Corpus (creation, annotation, etc.)".
- 648 keyword "Tools, systems, applications".
- 648 title "Language Resources for Studying Argument".
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- item-1 hasContent chris-reed.
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