LinkedTV with FOUR papers at #LREC2014 reflects relevance of this domain to Linked Television

The LinkedTV project is pleased to be present at the 9th edition of the Language Resources and Evaluation Conference (LREC 2014, 26-31 May, Reykjavik, Iceland) with no less than FOUR accepted papers! We warmly congratulate our LinkedTV partners and wish them the very best for their time at the conference! This reflects the cutting edge research on topics relevant to that domain which also form part of the innovative solution being created by partners for “Linked Television”, such as improving Automatic Speech Recognition (ASR), keyword detection from text and Named Entity Recognition (NER). 

  • T. Kliegr., O. Zamazal Towards Linked Hypernyms Dataset 2.0: complementing DBpedia with hypernym discovery
  • M. Stadtschnitzer, J. Schwenninger, D. Stein and J. Köhler. Exploiting the large-scale German Broadcast Corpus to boost the Fraunhofer IAIS Speech Recognition System
  • Giuseppe Rizzo, Marieke van Erp and Raphaël Troncy. Benchmarking the Extraction and Disambiguation of Named Entities on the Semantic Web
  • T. Kliegr, V. Zeman, M. Dojchinovski. Linked Hypernyms Dataset – Generation Framework and Use Cases. (In the Linguistic Linked Data Challenge)
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