Matches in ScholarlyData for { ?s ?p ?o. }
- 459 title "Corpus-based Semantic Relatedness for the Construction of Polish WordNet".
- authorList type List.
- authorList hasFirstItem item-1.
- authorList hasItem item-1.
- authorList hasItem item-2.
- authorList hasItem item-3.
- authorList hasItem item-4.
- authorList hasLastItem item-4.
- item-1 type ListItem.
- item-1 hasContent bartosz-broda.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent magdalena-derwojedowa.
- item-2 next item-3.
- item-2 previous item-1.
- item-3 type ListItem.
- item-3 hasContent maciej-piasecki.
- item-3 next item-4.
- item-3 previous item-2.
- item-4 type ListItem.
- item-4 hasContent stanislaw-szpakowicz.
- item-4 previous item-3.
- 46 creator hitoshi-isahara.
- 46 creator randolf-altmeyer.
- 46 creator shisanu-tongchim.
- 46 creator virach-sornlertlamvanich.
- 46 type InProceedings.
- 46 label "A Dependency Parser for Thai".
- 46 sameAs 46.
- 46 abstract "This paper presents some preliminary results of our dependency parser for Thai. It is part of an ongoing project in developing a syntactically annotated Thai corpus. The parser has been trained and tested by using the complete part of the corpus. The parser achieves 83.64% as the root accuracy, 78.54% as the dependency accuracy and 53.90% as the complete sentence accuracy. The trained parser will be used as a preprocessing step in our corpus annotation workflow in order to accelerate the corpus development.".
- 46 hasAuthorList authorList.
- 46 hasTopic Linguistics.
- 46 isPartOf proceedings.
- 46 keyword "Acquisition, Machine Learning".
- 46 keyword "Parsing Systems".
- 46 keyword "Statistical methods".
- 46 title "A Dependency Parser for Thai".
- authorList type List.
- authorList hasFirstItem item-1.
- authorList hasItem item-1.
- authorList hasItem item-2.
- authorList hasItem item-3.
- authorList hasItem item-4.
- authorList hasLastItem item-4.
- item-1 type ListItem.
- item-1 hasContent shisanu-tongchim.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent randolf-altmeyer.
- item-2 next item-3.
- item-2 previous item-1.
- item-3 type ListItem.
- item-3 hasContent virach-sornlertlamvanich.
- item-3 next item-4.
- item-3 previous item-2.
- item-4 type ListItem.
- item-4 hasContent hitoshi-isahara.
- item-4 previous item-3.
- 460 creator claire-grover.
- 460 creator xinglong-wang.
- 460 type InProceedings.
- 460 label "Learning the Species of Biomedical Named Entities from Annotated Corpora".
- 460 sameAs 460.
- 460 abstract "In biomedical articles, terms with the same surface forms are often used to refer to different entities across a number of model organisms, in which case determining the species becomes crucial to term identification systems that ground terms to specific database identifiers. This paper describes a rule-based system that extracts species indicating words , such as human or murine, which can be used to decide the species of the nearby entity terms, and a machine-learning species disambiguation system that was developed on manually species-annotated corpora. Performance of both systems were evaluated on gold-standard datasets, where the machine-learning system yielded better overall results.".
- 460 hasAuthorList authorList.
- 460 hasTopic Linguistics.
- 460 isPartOf proceedings.
- 460 keyword "Corpus (creation, annotation, etc.)".
- 460 keyword "Information Extraction, Information Retrieval".
- 460 keyword "Text mining".
- 460 title "Learning the Species of Biomedical Named Entities from Annotated Corpora".
- authorList type List.
- authorList hasFirstItem item-1.
- authorList hasItem item-1.
- authorList hasItem item-2.
- authorList hasLastItem item-2.
- item-1 type ListItem.
- item-1 hasContent xinglong-wang.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent claire-grover.
- item-2 previous item-1.
- 461 creator eva-navas.
- 461 creator ibon-saratxaga.
- 461 creator igor-odriozola.
- 461 creator iker-luengo.
- 461 creator inaki-sainz.
- 461 creator inma-hernaez.
- 461 creator jon-sanchez.
- 461 type InProceedings.
- 461 label "Text Independent Speaker Identification in Multilingual Environments".
- 461 sameAs 461.
- 461 abstract "Speaker identification and verification systems have a poor performance when model training is done in one language while the testing is done in another. This situation is not unusual in multilingual environments, where people should be able to access the system in any language he or she prefers in each moment, without noticing a performance drop. In this work we study the possibility of using features derived from prosodic parameters in order to reinforce the language robustness of these systems. First the features properties in terms of language and session variability are studied, predicting an increase in the language robustness when frame-wise intonation and energy values are combined with traditional MFCC features. The experimental results confirm that these features provide an improvement in the speaker recognition rates under language-mismatch conditions. The whole study is carried out in the Basque Country, a bilingual region in which Basque and Spanish languages co-exist.".
- 461 hasAuthorList authorList.
- 461 hasTopic Linguistics.
- 461 isPartOf proceedings.
- 461 keyword "Endangered languages".
- 461 keyword "Multilinguality".
- 461 keyword "Prosody".
- 461 title "Text Independent Speaker Identification in Multilingual Environments".