comprehensive language resources and tools for ... - CESAR project

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Büro des FachverbandesUnser Fachverbandsbüro steht Ihnen jederzeitgerne für Ihre Anliegen zur Verfügung.Sie erreichen uns unter:Tel. +43 / 1 / 712 26 01 - 0Fax +43 / 1 / 713 03 09office@holzindustrie.atwww.holzindustrie.atGeschäftsführungDr. Claudius KollmannDW 17Dragana Seyfried-MilosevicDW 14office@holzindustrie.atStv. GeschäftsführungPlatte, SkiWirtschaftsbetrieb (BGA)Dr. Alexander SchmiedDW 16ChefsekretariatPlatte, SkiSusanne NemetzDW 27office@platte.atBauArbeitsrechtMag. Dieter LechnerDW 12ChefsekretariatPlatte, SkiRechnungswesenEva-Maria KrieglDW 25office@parkett.co.atMöbelHolzpackmittelTechnisches RegelwerkMag. Dolunay YeritDW 21PrintmedienPetra BrandlDW 24office@moebel.atSägeÖffentlichkeitsarbeitVeranstaltungenMag. Christian RebernigDW 20Mag. Margot SchatzlDW 31BonitätsservicePrintmedienWirtschaftsbetrieb (BGA)DI (FH) Rainer HandlDW 18Sabine LitschauerDW 22office@saege.atBonitätsserviceTechnikUmweltNina StankaDW 33Nicole MüllerDW 32bonitaet@holzindustrie.atVerwaltungMichael GrameiserDW 2634
BulgarianCroatianHungarianPolishSerbianSlovakOverall averageResults for language toolsCESAR Language Technology(Tools, Technologies, Applications)1. Tokenization. Morphology (tokenization. POS tagging.morphological analysis/generation)4.000 3.571 4.000 4.571 4.286 3.000 3.9052. Parsing (shallow or deep syntactic analysis) 3.000 1.571 3.571 3.571 2.429 0.000 2.3573. Sentence Semantics (WSD. argument structure. semantic roles) 2.429 1.143 1.571 2.143 0.000 0.000 1.2144. Text Semantics (coreference resolution. context. pragmatics.inference)1.429 0.000 1.286 1.000 0.000 0.000 0.6195. Advanced Discourse Processing (text structure. coherence.rhetorical structure/RST. argumentative zoning. argumentation. 0.000 0.000 0.000 0.571 0.000 0.000 0.095text patterns. text types etc.)6. Information Retrieval (text indexing. multimedia IR. crosslingual IR) 2.000 2.286 0.857 3.286 2.429 2.286 2.1907. Information Extraction (named entity recognition. event/relationextraction. opinion/sentiment recognition. text mining/analytics)2.286 2.429 5.571 2.571 2.143 1.714 2.7868. Language Generation (sentence generation. report generation.text generation)1.429 1.286 0.000 1.143 0.000 0.000 0.6439. Summarization. Question Answering. advanced InformationAccess Technologies1.857 0.286 0.000 1.286 0.714 1.714 0.97610. Machine Translation 2.286 0.714 4.857 3.286 0.714 1.857 2.28611. Speech Recognition 2.000 2.571 2.714 2.714 1.143 2.286 2.23812. Speech Synthesis 2.000 3.571 3.714 4.143 3.286 3.000 3.28613. Dialogue Management (dialogue capabilities and user modelling) 0.000 1.286 0.000 1.000 0.000 0.000 0.381below 1.000 in average; below 2.000 in average; equals 0.000 in cells35
Page 1 and 2: CESAR: Comprehensive LanguageResour
Page 3 and 4: META-NET & CESARhttp://www.cesar-pr
Page 5 and 6: Who is CESAR?Participantno.Particip
Page 7 and 8: Project objectivesprovide a descrip
Page 9: Where to find CESARwww.meta-net.euh
Page 12 and 13: www.meta-net.orghttp://www.cesar-pr
Page 14 and 15: http://www.cesar-project.net 14
Page 20 and 21: CESAR First Batch of ResourcesStati
Page 22 and 23: CESAR Third Batch of ResourcesStati
Page 24 and 25: ‘In other words -1st and 2nd batc
Page 26 and 27: Polish resourcesin the 2nd BatchIPI
Page 28 and 29: Proposed Polish resourcesin the 3rd
Page 30 and 31: Gaps and Challenges** Presented at
Page 32 and 33: BulgarianCroatianHungarianPolishSer
Page 36 and 37: Results for language toolshttp://ww
Page 38 and 39: Discussionpreliminary investigation
Page 40: Thank you for your attention.http:/

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