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- 213 creator adam-przepiorkowski.
- 213 creator lukasz-degorski.
- 213 creator michal-marcinczuk.
- 213 type InProceedings.
- 213 label "Definition Extraction Using a Sequential Combination of Baseline Grammars and Machine Learning Classifiers".
- 213 sameAs 213.
- 213 abstract "The paper deals with the task of definition extraction from a small and noisy corpus of instructive texts. Three approaches are presented: Partial Parsing, Machine Learning and a sequential combination of both. We show that applying ML methods with the support of a trivial grammar gives results better than a relatively complicated partial grammar, and much better than pure ML approach.".
- 213 hasAuthorList authorList.
- 213 hasTopic Linguistics.
- 213 isPartOf proceedings.
- 213 keyword "Acquisition, Machine Learning".
- 213 keyword "Information Extraction, Information Retrieval".
- 213 keyword "Other".
- 213 title "Definition Extraction Using a Sequential Combination of Baseline Grammars and Machine Learning Classifiers".
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- item-1 hasContent lukasz-degorski.
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- 214 creator monthika-boriboon.
- 214 creator prachya-boonkwan.
- 214 creator suchinder-singh.
- 214 creator taneth-ruangrajitpakorn.
- 214 creator thepchai-supnithi.
- 214 type InProceedings.
- 214 label "OpenCCG Workbench and Visualization Tool".
- 214 sameAs 214.
- 214 abstract "Combinatorial Category Grammar is (CCG) a lexicalized grammar formalism which is expressed by syntactic category, a logical form representation. There are difficulties in representing CCG without any visualization tools. This paper presents a design framework of OpenCCG workbench and visualization tool which enables linguists to develop CCG based lexicons more easily. Our research is aimed to resolve these gaps by developing a user-friendly tool. OpenCCG Workbench, an open source web-based environment, was developed to enable multiple users to visually create and update grammars for using with the OpenCCG library. It was designed to streamline and speed-up the lexicon building process, and to free the linguists from writing XML files which is both cumbersome and error-prone. The system consists of three sub-systems: grammar management system, grammar validator system, and concordance retrieval system. In this paper we will mainly discuss the most important parts, grammar management and validation systems, which are directly related to a CCG lexicon construction. We support users in three levels; Expert linguists who play a role as lexical entry designer, normal linguists who adds or edits lexicons, and guests who requires an acquisition to the lexicon into their applications.".
- 214 hasAuthorList authorList.
- 214 hasTopic Linguistics.
- 214 isPartOf proceedings.
- 214 keyword "Authoring tools, proofing".
- 214 keyword "Tools, systems, applications".
- 214 title "OpenCCG Workbench and Visualization Tool".
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- item-1 hasContent thepchai-supnithi.
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- 215 creator antonio-pareja-lora.
- 215 creator christian-chiarcos.
- 215 creator ekaterina-buyko.
- 215 type InProceedings.
- 215 label "Ontology-Based Interface Specifications for a NLP Pipeline Architecture".
- 215 sameAs 215.
- 215 abstract "The high level of heterogeneity between linguistic annotations usually complicates the interoperability of processing modules within an NLP pipeline. In this paper, a framework for the interoperation of NLP components, based on a data-driven architecture, is presented. Here, ontologies of linguistic annotation are employed to provide a conceptual basis for the tagset-neutral processing of linguistic annotations. The framework proposed here is based on a set of structured OWL ontologies: a reference ontology, a set of annotation models which formalize different annotation schemes, and a declarative linking between these, specified separately. This modular architecture is particularly scalable and flexible as it allows for the integration of different reference ontologies of linguistic annotations in order to overcome the absence of a consensus for an ontology of linguistic terminology. Our proposal originates from three lines of research from different fields: research on annotation type systems in UIMA; the ontological architecture OLiA, originally developed for sustainable documentation and annotation-independent corpus browsing, and the ontologies of the OntoTag model, targeted towards the processing of linguistic annotations in Semantic Web applications. We describe how UIMA annotations can be backed up by ontological specifications of annotation schemes as in the OLiA model, and how these are linked to the OntoTag ontologies, which allow for further ontological processing.".
- 215 hasAuthorList authorList.
- 215 hasTopic Linguistics.
- 215 isPartOf proceedings.
- 215 keyword "Corpus (creation, annotation, etc.)".
- 215 keyword "LR Infrastructures and Architectures".
- 215 keyword "Ontologies".
- 215 title "Ontology-Based Interface Specifications for a NLP Pipeline Architecture".
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- item-1 hasContent ekaterina-buyko.
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