Matches in ScholarlyData for { ?s ?p ?o. }
- 552 creator louise-guthrie.
- 552 type InProceedings.
- 552 label "Authorship Attribution of E-Mail: Comparing Classifiers over a New Corpus for Evaluation".
- 552 sameAs 552.
- 552 abstract "The release of the Enron corpus provided a unique resource for studying aspects of email use, because it is largely unfiltered, and therefore presents a relatively complete collection of emails for a reasonably large number of correspondents. This paper describes a newly created subcorpus of the Enron emails which we suggest can be used to test techniqes for authorship attribution, and further shows the application of three different classification methods to this task to present baseline results. Two of the classifiers used are are standard, and have been shown to perform well in the literature, and one of the classifiers is novel and based on concurrent work that proposes a Bayesian hierarchical distribution for word counts in documents. For each of the classifiers, we present results using six text representations, including use of linguistic structures derived from a parser as well as lexical information.".
- 552 hasAuthorList authorList.
- 552 hasTopic Linguistics.
- 552 isPartOf proceedings.
- 552 keyword "Document Classification, Text categorisation".
- 552 keyword "Language modelling".
- 552 keyword "Statistical methods".
- 552 title "Authorship Attribution of E-Mail: Comparing Classifiers over a New Corpus for Evaluation".
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- item-1 hasContent ben-allison.
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- item-2 hasContent louise-guthrie.
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- 553 creator pela-arhar.
- 553 creator simon-krek.
- 553 creator vojko-gorjanc.
- 553 type InProceedings.
- 553 label "Slovene Terminology Web Portal and the TBX-Compatible Simplified DTD/schema".
- 553 sameAs 553.
- 553 abstract "The paper describes the project whose main purpose is the creation of the Slovene terminology web portal, funded by the Slovene Research Agency and the Amebis software company. It focuses on the DTD/schema used for the unification of different terminology resources in different input formats into one database available on the web. Two projects involving unification DTD/schemas were taken as the model for the resulting DTD/schema: the CONCEDE project and the TMF project. The final DTD/schema was tested on twenty different specialized dictionaries, both monolingual and bilingual, in various formats either without any existing markup or with complex XML structure. The result of the project will be an on-line terminology resource for Slovenian which will also include didactic material on terminology and free tools for uploading domain-specific text collections to be processed with NLP software, including a term extractor.".
- 553 hasAuthorList authorList.
- 553 hasTopic Linguistics.
- 553 isPartOf proceedings.
- 553 keyword "LR Infrastructures and Architectures".
- 553 keyword "LR national/international projects, organizational/policy issues".
- 553 keyword "LR web services".
- 553 title "Slovene Terminology Web Portal and the TBX-Compatible Simplified DTD/schema".
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- item-1 hasContent simon-krek.
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- item-2 hasContent vojko-gorjanc.
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- item-3 hasContent pela-arhar.
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- 554 creator ioana-vasilescu.
- 554 creator martine-adda-decker.
- 554 creator rena-nemoto.
- 554 type InProceedings.
- 554 label "Speech Errors on Frequently Observed Homophones in French: Perceptual Evaluation vs Automatic Classification".
- 554 sameAs 554.
- 554 abstract "The present contribution aims at increasing our understanding of automatic speech recognition (ASR) errors involving frequent homophone or almost homophone words by confronting them to perceptual results. The long-term aim is to improve acoustic modelling of these items to reduce automatic transcription errors. A first question of interest addressed in this paper is whether homophone words such as et (and); and est (to be), for which ASR systems rely on language model weights, can be discriminated in a perceptual transcription test with similar n-gram constraints. A second question concerns the acoustic separability of the two homophone words using appropriate acoustic and prosodic attributes. The perceptual test reveals that even though automatic and perceptual errors correlate positively, human listeners deal with local ambiguity more efficiently than the ASR system in conditions which attempt to approximate the information available for decision for a 4-gram language model. The corresponding acoustic analysis shows that the two homophone words may be distinguished thanks to some relevant acoustic and prosodic attributes. A first experiment in automatic classification of the two words using data mining techniques highlights the role of the prosodic (duration and voicing) and contextual information (pauses co-occurrence) in distinguishing the two words. Current results, even though preliminary, suggests that new levels of information, so far unexplored in pronunciations modelling for ASR, may be considered in order to efficiently factorize the word variants observed in speech and to improve the automatic speech transcription.".
- 554 hasAuthorList authorList.
- 554 hasTopic Linguistics.
- 554 isPartOf proceedings.
- 554 keyword "Acquisition, Machine Learning".
- 554 keyword "Other".
- 554 keyword "Speech recognition and understanding".
- 554 title "Speech Errors on Frequently Observed Homophones in French: Perceptual Evaluation vs Automatic Classification".
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- item-1 hasContent rena-nemoto.
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- item-2 hasContent ioana-vasilescu.
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- item-3 hasContent martine-adda-decker.
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- 556 creator advaith-siddharthan.
- 556 creator ann-copestake.
- 556 creator benjamin-waldron.
- 556 creator c-j-rupp.
- 556 creator peter-corbett.
- 556 creator peter-murray-rust.
- 556 creator simone-teufel.
- 556 type InProceedings.
- 556 label "Language Resources and Chemical Informatics".
- 556 sameAs 556.
- 556 abstract "Chemistry research papers are a primary source of information about chemistry, as in any scientific field. The presentation of the data is, predominantly, unstructured information, and so not immediately susceptible to processes developed within chemical informatics for carrying out chemistry research by information processing techniques. At one level, extracting the relevant information from research papers is a text mining task, requiring both extensive language resources and specialised knowledge of the subject domain. However, the papers also encode information about the way the research is conducted and the structure of the field itself. Applying language technology to research papers in chemistry can facilitate eScience on several different levels. The SciBorg project sets out to provide an extensive, analysed corpus of published chemistry research. This relies on the cooperation of several journal publishers to provide papers in an appropriate form. The work is carried out as a collaboration involving the Computer Laboratory, Chemistry Department and eScience Centre at Cambridge University, and is funded under the UK eScience programme.".
- 556 hasAuthorList authorList.
- 556 hasTopic Linguistics.
- 556 isPartOf proceedings.
- 556 keyword "Corpus (creation, annotation, etc.)".
- 556 keyword "Discourse".
- 556 keyword "Text mining".