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- item-1 hasContent julia-trushkina.
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- 129 creator dimitrios-kokkinakis.
- 129 type InProceedings.
- 129 label "MeSH©: from a Controlled Vocabulary to a Processable Resource".
- 129 sameAs 129.
- 129 abstract "Large repositories of life science data in the form of domain-specific literature and large specialised textual collections increase on a daily basis to a level beyond the human mind can grasp and interpret. As the volume of data continues to increase, substantial support from new information technologies and computational techniques grounded in the mining paradigm is becoming apparent. These emerging technologies play a critical role in aiding research productivity, and they provide the means for reducing the workload for information access and decision support and for speeding up and enhancing the knowledge discovery process. In order to accomplish these higher level goals a fundamental and unavoidable starting point is the identification and mapping of terminology from unstructured data to biomedical knowledge sources and concept hierarchies. This paper provides a description of the work regarding terminology recognition using the Swedish MeSH© thesaurus and its corresponding English source. The various transformation and refinement steps applied to the original database tables into a fully-fledged processing-oriented annotating resource are explained. Particular attention has been given to a number of these steps in order to automatically map the extensive variability of lexical terms to structured MeSH© nodes. Issues on annotation and coverage are also discussed.".
- 129 hasAuthorList authorList.
- 129 hasTopic Linguistics.
- 129 isPartOf proceedings.
- 129 keyword "Controlled languages".
- 129 keyword "Lexicon, lexical database".
- 129 keyword "Ontologies".
- 129 title "MeSH©: from a Controlled Vocabulary to a Processable Resource".
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- item-1 hasContent dimitrios-kokkinakis.
- 13 creator dawn-knight.
- 13 creator paul-tennent.
- 13 type InProceedings.
- 13 label "Introducing DRS (The Digital Replay System): a Tool for the Future of Corpus Linguistic Research and Analysis".
- 13 sameAs 13.
- 13 abstract "This paper outlines the new resource technologies, products and applications that have been constructed during the development of a multi-modal (MM hereafter) corpus tool on the DReSS project (Understanding New Forms of the Digital Record for e-Social Science), based at the University of Nottingham, England. The paper provides a brief outline of the DRS (Digital Replay System, the software tool at the heart of the corpus), highlighting its facility to display synchronised video, audio and textual data and, most relevantly, a concordance tool capable of interrogating data constructed from textual transcriptions anchored to video or audio, and from coded annotations of specific features of gesture-in-talk. This is complemented by a real-time demonstration of the DRS interface in-use as part of the LREC 2008 conference. This will serve to show the manner in which a system such as the DRS can be used to facilitate the assembly, storage and analysis of multi modal corpora, supporting both qualitative and quantitative approaches to the analysis of collected data.".
- 13 hasAuthorList authorList.
- 13 hasTopic Linguistics.
- 13 isPartOf proceedings.
- 13 keyword "Corpus (creation, annotation, etc.)".
- 13 keyword "Multimedia annotation and processing".
- 13 keyword "Tools, systems, applications".
- 13 title "Introducing DRS (The Digital Replay System): a Tool for the Future of Corpus Linguistic Research and Analysis".
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- item-1 hasContent dawn-knight.
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- 130 creator yves-bestgen.
- 130 type InProceedings.
- 130 label "Building Affective Lexicons from Specific Corpora for Automatic Sentiment Analysis".
- 130 sameAs 130.
- 130 abstract "Automatic sentiment analysis in texts has attracted considerable attention in recent years. Most of the approaches developed to classify texts or sentences as positive or negative rest on a very specific kind of language resource: emotional lexicons. To build these resources, several automatic techniques have been proposed. Some of them are based on dictionaries while others use corpora. One of the main advantages of the corpora techniques is that they can build lexicons that are tailored for a specific application simply by using a specific corpus. Currently, only anecdotal observations and data from other areas of language processing plead in favour of the utility of specific corpora. This research aims to test this hypothesis. An experiment based on 702 sentences evaluated by judges shows that automatic techniques developed for estimating the valence from relatively small corpora are more efficient if the corpora used contain texts similar to the one that must be evaluated.".
- 130 hasAuthorList authorList.
- 130 hasTopic Linguistics.
- 130 isPartOf proceedings.
- 130 keyword "Emotions".
- 130 keyword "Lexicon, lexical database".
- 130 keyword "Text mining".
- 130 title "Building Affective Lexicons from Specific Corpora for Automatic Sentiment Analysis".
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- item-1 hasContent yves-bestgen.
- 132 creator eric-sanders.
- 132 creator henk-van-den-heuvel.
- 132 creator rob-van-son.
- 132 creator wieneke-wesseling.
- 132 type InProceedings.
- 132 label "The IFADV Corpus: a Free Dialog Video Corpus".
- 132 sameAs 132.
- 132 abstract "Research into spoken language has become more visual over the years. Both fundamental and applied research have progressively included gestures, gaze, and facial expression. Corpora of multi-modal conversational speech are rare and frequently difficult to use due to privacy and copyright restrictions. A freely available annotated corpus is presented, gratis and libre, of high quality video recordings of face-to-face conversational speech. Annotations include orthography, POS tags, and automatically generated phonemes transcriptions and word boundaries. In addition, labeling of both simple conversational function and gaze direction has been a performed. Within the bounds of the law, everything has been done to remove copyright and use restrictions. Annotations have been processed to RDBMS tables that allow SQL queries and direct connections to statistical software. From our experiences we would like to advocate the formulation of best practises for both legal handling and database storage of recordings and annotations.".
- 132 hasAuthorList authorList.
- 132 hasTopic Linguistics.
- 132 isPartOf proceedings.
- 132 keyword "Corpus (creation, annotation, etc.)".
- 132 keyword "Dialogue & Natural Interactivity".
- 132 keyword "Speech resource/database".
- 132 title "The IFADV Corpus: a Free Dialog Video Corpus".
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- item-1 hasContent rob-van-son.
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