Changes between Version 1 and Version 2 of en/PhdCalls


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Timestamp:
Apr 1, 2016, 3:49:40 PM (6 years ago)
Author:
Ales Horak
Comment:

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  • en/PhdCalls

    v1 v2  
    11=  =
    22= PhD positions in NLP Centre =
    3 The NLP Centre offers long term positions in research and developmnet projects for students of Masters or Doctoral programs who are planning post gradual studies. These positions are paid with scholarships or as part-time job and significantly increases the standard doctoral scholarship.
     3The NLP Centre offers longer term (1-3 years) positions in research and development projects for students of Doctoral programs or Master programs who are planning post gradual studies. These positions are financed via scholarships or as part-time jobs and can significantly increase the standard doctoral scholarship at FI MU.
    44
    55== !TextMiner project ==
    6 Advisor:[https://is.muni.cz/auth/osoba/1648 doc. Aleš Horák][[BR]]Period: 2016-201[[BR]]Provider: Ministry of the Interior of the Czech Republic[[BR]]1-2 positions
     6Advisor:[https://is.muni.cz/auth/person/1648 doc. Aleš Horák][[BR]]
     7Period: 2016-2019 [[BR]]
     8Provider: Ministry of the Interior of the Czech Republic [[BR]]
     91-2 positions
    710
    8 The new three-year long project concentrates on entities and relations extraction from large texts. The aim of the project is to create tools for natural language processing which will allow to extract information about entities (name of person, place or organization, time, email or telephone number) and relations between these entities and mine information based on author's style (author's education and sex, origin of the text – if the text is a machine translation). All the characteristics of text mentioned above will be acquired by text analysis with use of tools of language analysis, machine learning techniques and stylometry.
     11The new three-years long project concentrates on named entity and relation extraction from large texts. The aim of the project is to create tools for natural language processing which will allow to extract information about entities (personal name, location or organization, time, email or telephone number) and relations between these entities and to mine information based on author's style (author's education and sex, origin of the text – if the text is a machine translation). All the text characteristics mentioned above will be acquired by text analysis with use of tools of language analysis, machine learning techniques and stylometry.
    912
    1013== OCR Miner project ==
    11 Advisor: [https://is.muni.cz/auth/osoba/1648 doc. Aleš Horák]Period: 2016-2018 [[BR]]Provider: Konica Minolta [[BR]]1 position
     14Advisor: [https://is.muni.cz/auth/person/1648 doc. Aleš Horák [[BR]]
     15Period: 2016-2018 [[BR]]
     16Provider: Konica Minolta [[BR]]
     171 position
    1218
    13 New cooperation with Faculty of Informatic's industrial partner Konica Minolta. The aim of the project is proposal and implementation of algorithms for information extraction from scanned documents.
     19New cooperation with Faculty industrial partner Konica Minolta. The aim of the project is a design and implementation of algorithms for information extraction from scanned documents.
    1420
    1521== DEB LDI procect ==
    16 Advisor: [https://is.muni.cz/auth/osoba/1648 doc. Aleš Horák], [https://is.muni.cz/auth/osoba/60380 dr. Adam Rambousek][[BR]]Period: 2016-2017[[BR]]Provider: Ministry of Education of the Czech Republic[[BR]]1 position
     22Advisor: [https://is.muni.cz/auth/person/1648 doc. Aleš Horák], [https://is.muni.cz/auth/osoba/60380 dr. Adam Rambousek][[BR]]
     23Period: 2016-2017 [[BR]]
     24Provider: Ministry of Education of the Czech Republic[[BR]]
     251 position
    1726
    18 Part of the ​European Network of e-lexicography project. Developing of tools for editing and connecting dictionaries (Linded Data).
     27Project connected with the ​European Network of e-lexicography. Development of tools for editing and connecting dictionaries (Linked Data).
    1928
    2029== DIACRAN II ==
    21 Advisor: [https://is.muni.cz/auth/osoba/3692 doc. Pavel Rychlý][[BR]]Period: 2016-2019[[BR]]Provider:  [http://www.lexicalcomputing.com Lexical Computing][[BR]]1 position
     30Advisor: [https://is.muni.cz/auth/person/3692 doc. Pavel Rychlý][[BR]]
     31Period: 2016-2019 [[BR]]
     32Provider:  [http://www.lexicalcomputing.com Lexical Computing][[BR]]
     331 position
    2234
    23 The DIACRAN II project follows the previous research project DIACRAN in which automatic methods for  detecting trends on word layer in language development over time were developed. The aim of the project is to further develop these methods for the meaning of words defined in context by their use in real texts meaning automaticly detect systematic changes of words context indicating change (loss/gain) of the meaning.
     35The DIACRAN II project follows the previous research project DIACRAN in which automatic methods for  detecting trends on word layer in language development over time were developed. The aim of the project is to further develop these methods to derive the meaning of words defined in by the context of their use in real texts meaning and automatically detect systematic changes of words contexts that indicate a change (loss/gain) of the word meaning.