Matches in ScholarlyData for { ?s ?p ?o. }
- item-3 hasContent sophia-ananiadou.
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- 516 creator barry-haddow.
- 516 creator beatrice-alex.
- 516 type InProceedings.
- 516 label "Exploiting Multiply Annotated Corpora in Biomedical Information Extraction Tasks".
- 516 sameAs 516.
- 516 abstract "This paper discusses the problem of utilising multiply annotated data in training biomedical information extraction systems. Two corpora, annotated with entities and relations, and containing a number of multiply annotated documents, are used to train named entity recognition and relation extraction systems. Several methods of automatically combining the multiple annotations to produce a single annotation are compared, but none produces better results than simply picking one of the annotated versions at random. It is also shown that adding extra singly annotated documents produces faster performance gains than adding extra multiply annotated documents.".
- 516 hasAuthorList authorList.
- 516 hasTopic Linguistics.
- 516 isPartOf proceedings.
- 516 keyword "Corpus (creation, annotation, etc.)".
- 516 keyword "Information Extraction, Information Retrieval".
- 516 keyword "Named Entity recognition".
- 516 title "Exploiting Multiply Annotated Corpora in Biomedical Information Extraction Tasks".
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- item-1 hasContent barry-haddow.
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- 518 creator andriela-raeaebis.
- 518 creator krista-strandson.
- 518 creator mare-koit.
- 518 creator olga-gerassimenko.
- 518 creator riina-kasterpalu.
- 518 creator tiit-hennoste.
- 518 type InProceedings.
- 518 label "From Human Communication to Intelligent User Interfaces: Corpora of Spoken Estonian".
- 518 sameAs 518.
- 518 abstract "We argue for the necessity of studying human-human spoken conversations of various kinds in order to create user interfaces to databases. An efficient user interface benefits from a well-organized corpus that can be used for investigating the strategies people use in conversations in order to be efficient and to handle the spoken communication problems. For modeling the natural behaviour and testing the model we need a dialogue corpus where the roles of participants are close to the roles of the dialogue system and its user. For that reason, we collect and investigate the Corpus of the Spoken Estonian and the Estonian Dialogue Corpus as the sources for human-human interaction investigation. The transcription conventions and annotation typology of spoken human-human dialogues in Estonian are introduced. For creating a user interface the corpus of one institutional conversation type is insufficient, since we need to know what phenomena are inherent for the spoken language in general, what means are used only in certain types of the conversations and what are the differences.".
- 518 hasAuthorList authorList.
- 518 hasTopic Linguistics.
- 518 isPartOf proceedings.
- 518 keyword "Cognitive methods".
- 518 keyword "Corpus (creation, annotation, etc.)".
- 518 keyword "Dialogue & Natural Interactivity".
- 518 title "From Human Communication to Intelligent User Interfaces: Corpora of Spoken Estonian".
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- item-1 hasContent tiit-hennoste.
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- item-2 hasContent olga-gerassimenko.
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- item-3 hasContent riina-kasterpalu.
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- item-4 hasContent mare-koit.
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- item-5 hasContent andriela-raeaebis.
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- item-6 hasContent krista-strandson.
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- 519 creator atsushi-fujii.
- 519 type InProceedings.
- 519 label "Producing an Encyclopedic Dictionary using Patent Documents".
- 519 sameAs 519.
- 519 abstract "Although the World Wide Web has late become an important source to consult for the meaning of words, a number of technical terms related to high technology are not found on the Web. This paper describes a method to produce an encyclopedic dictionary for high-tech terms from patent information. We used a collection of unexamined patent applications published by the Japanese Patent Office as a source corpus. Given this collection, we extracted terms as headword candidates and retrieved applications including those headwords. Then, we extracted paragraph-style descriptions and categorized them into technical domains. We also extracted related terms for each headword. We have produced a dictionary including approximately 400,000 Japanese terms as headwords. We have also implemented an interface with which users can explore our dictionary by reading text descriptions and viewing a related-term graph.".
- 519 hasAuthorList authorList.
- 519 hasTopic Linguistics.
- 519 isPartOf proceedings.
- 519 keyword "Corpus (creation, annotation, etc.)".
- 519 keyword "Information Extraction, Information Retrieval".
- 519 keyword "Question Answering".
- 519 title "Producing an Encyclopedic Dictionary using Patent Documents".
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- item-1 hasContent atsushi-fujii.
- 52 creator jens-nilsson.
- 52 creator joakim-nivre.
- 52 type InProceedings.
- 52 label "MaltEval: an Evaluation and Visualization Tool for Dependency Parsing".
- 52 sameAs 52.
- 52 abstract "This paper presents a freely available evaluation tool for dependency parsing: MaltEval (http://w3.msi.vxu.se/users/jni/malteval). It is flexible and extensible, and provides functionality for both quantitative evaluation and visualization of dependency structure. The quantitative evaluation is compatible with other standard evaluation software for dependency structure which does not produce visualization of dependency structure, and can output more details as well as new types of evaluation metrics. In addition, MaltEval has generic support for confusion matrices. It can also produce statistical significance tests when more than one parsed file is specified. The visualization module also has the ability to highlight discrepancies between the gold-standard files and the parsed files, and it comes with an easy to use GUI functionality to search in the dependency structure of the input files.".
- 52 hasAuthorList authorList.
- 52 hasTopic Linguistics.