Výsledky vyhledávání - "Habib, Mena Badieh"

ISIS in the Eyes of the Dutch

Autor: Hendrikse, Bas, Habib, Mena Badieh, van Keulen, Maurice, Boratto, Ludovico, Kaltebrunner, Andreas, Stilo, Giovanni

Publikováno v: Proceedings of the Workshop on Social Media for Personalization and Search (SoMePeAs 2017): co-located with 39th European Conference on Information Retrieval (ECIR 2017), 28-33
STARTPAGE=28;ENDPAGE=33;TITLE=Proceedings of the Workshop on Social Media for Personalization and Search (SoMePeAs 2017)

The presence of militant group Islamic State of Iraq and Syria (ISIS) is growing. Terrorist attacks in Europe and an incoming stream of refugees in the south of the continent are some of the reasons Europe is getting socially involved in the Middle-E

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::9e286ef7e8cca58633c5333bf5fde201
https://research.utwente.nl/en/publications/fa830eb2-7ae7-414f-a8a0-849dc9e76baf

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Detecting Hacked Twitter Accounts based on Behavioural Change

Autor: Nauta, Meike, Habib, Mena Badieh, van Keulen, Maurice, Majchrzak, Tim A., Traverso, Paolo, Krempels, Karl-Heinz, Monfort, Valérie

Publikováno v: WEBIST
Proceedings of the 13th International Conference on Web Information Systems and Technologies, 19-31
STARTPAGE=19;ENDPAGE=31;TITLE=Proceedings of the 13th International Conference on Web Information Systems and Technologies
Scopus-Elsevier
Proceedings of the 13th International Conference on Web Information Systems and Technologies (WEBIST 2017): 19-31, 2017, Porto, Portugal, 19-31
STARTPAGE=19;ENDPAGE=31;TITLE=Proceedings of the 13th International Conference on Web Information Systems and Technologies (WEBIST 2017)

Social media accounts are valuable for hackers for spreading phishing links, malware and spam. Furthermore, some people deliberately hack an acquaintance to damage his or her image. This paper describes a classification for detecting hacked Twitter a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d198035235e9266623ac0f9062f7c7d5
https://doi.org/10.5220/0006213600190031

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Hadoop for EEG Storage and Processing: A Feasibility Study

Autor: Berrada, Ghita, van Keulen, Maurice, Habib, Mena Badieh, Slezak, Dominik, Tan, Ah-Hwee, Peters, James F., Schwabe, Lars

Publikováno v: Proceedings of the International Conference on Brain Informatics and Health, BIH 2014, 218-230
STARTPAGE=218;ENDPAGE=230;TITLE=Proceedings of the International Conference on Brain Informatics and Health, BIH 2014
Proceedings of the International Conference on Brain Informatics and Health, BIH 2014, Warsaw, Poland, 8609, 218-230
Brain Informatics and Health ISBN: 9783319098906
Brain Informatics and Health

Lots of heterogeneous complex data are collected for diagnosis purposes. Such data should be shared between all caregivers and, often at least partly automatically processed, due to its complexity, for its full potential to be harnessed. This paper i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db02314144e04afb15697abe91568bff
https://doi.org/10.1007/978-3-319-09891-3_21

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Named Entity Extraction and Linking Challenge: University of Twente at #Microposts2014

Autor: Habib, Mena Badieh, van Keulen, Maurice, Zhu, Zhemin, Rowe, Matthew, Stankovic, Milan, Dadzie, Aba-Sah

Publikováno v: Proceedings of the the 4th Workshop on Making Sense of Microposts (#Microposts2014): Big things come in small packages: at the 23rd International World Wide Web Conference (WWW 2014), 64-65
STARTPAGE=64;ENDPAGE=65;TITLE=Proceedings of the the 4th Workshop on Making Sense of Microposts (#Microposts2014)

Twitter is a potentially rich source of continuously and instantly updated information. Shortness and informality of tweets are challenges for Natural Language Processing (NLP) tasks. In this paper, we present a hybrid approach for Named Entity Extra

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::9ac0c6624af8d884018e84215f019bf1
https://research.utwente.nl/en/publications/0c752ec5-258b-4145-a73f-1c12a96271b0

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Toponym Extraction and Disambiguation Enhancement Using Loops of Feedback

Autor: Habib, Mena Badieh, van Keulen, Maurice, Fred, A., Dietz, J.L.G., Liu, K., Filipe, J.

Publikováno v: Knowledge Discovery, Knowledge Engineering and Knowledge Management: 4th International Joint Conference, IC3K 2012, Barcelona, Spain, October 4-7, 2012, Revised Selected Papers, 113-129
STARTPAGE=113;ENDPAGE=129;TITLE=Knowledge Discovery, Knowledge Engineering and Knowledge Management: 4th International Joint Conference, IC3K 2012, Barcelona, Spain, October 4-7, 2012, Revised Selected Papers
Communications in Computer and Information Science ISBN: 9783642541049
IC3K
Knowledge Discovery, Knowledge Engineering and Knowledge Management, 415, 113-129

Toponym extraction and disambiguation have received much attention in recent years. Typical fields addressing these topics are information retrieval, natural language processing, and semantic web. This paper addresses two problems with toponym extrac

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6e917952f6c540d43e3813f429a8b21
https://doi.org/10.1007/978-3-642-54105-6_8

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Unsupervised improvement of named entity extraction in short informal context using disambiguation clues

Autor: Habib, Mena Badieh, van Keulen, Maurice

Publikováno v: Workshop on Semantic Web and Information Extraction, SWAIE 2012, 1-10
STARTPAGE=1;ENDPAGE=10;TITLE=Workshop on Semantic Web and Information Extraction, SWAIE 2012

Short context messages (like tweets and SMS’s) are a potentially rich source of continuously and instantly updated information. Shortness and informality of such messages are challenges for Natural Language Processing tasks. Most efforts done in th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::6a35df1ac965ded5e20534de33ee816a
https://research.utwente.nl/en/publications/acfdff88-958a-42a1-a076-9c001fe0c695

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Improving Toponym Disambiguation by Iteratively Enhancing Certainty of Extraction

Autor: Habib, Mena Badieh, van Keulen, Maurice

Publikováno v: Proceedings of the 4th International Conference on Knowledge Discovery and Information Retrieval, KDIR 2012, 399-410
STARTPAGE=399;ENDPAGE=410;TITLE=Proceedings of the 4th International Conference on Knowledge Discovery and Information Retrieval, KDIR 2012

Named entity extraction (NEE) and disambiguation (NED) have received much attention in recent years. Typical fields addressing these topics are information retrieval, natural language processing, and semantic web. This paper addresses two problems wi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::0b928b3c86467571f9d101a6410d75c4
https://research.utwente.nl/en/publications/4c7b346d-fc5d-448c-a0e9-39bb0ecf247e

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Named Entity Extraction and Disambiguation from an Uncertainty Perspective

Autor: Habib, Mena Badieh, van Keulen, Maurice

Publikováno v: Proceedings of the Dutch Belgian Database Day, DBDBD 2011

Named entity extraction and disambiguation have received much attention in recent years. Typical fields addressing these topics are information retrieval, natural language processing, and semantic web. This work addresses two problems with named enti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::16a77bcfca29d588558c3087cb7fb212
https://research.utwente.nl/en/publications/0f32c1f2-61b0-44d5-a55a-12d04df3e0c8

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Improving Named Entity Disambiguation by Iteratively Enhancing Certainty of Extraction

Autor: Habib, Mena Badieh, van Keulen, Maurice

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::4dead3e793c68353a9e784d1b15d087f
https://research.utwente.nl/en/publications/improving-named-entity-disambiguation-by-iteratively-enhancing-certainty-of-extraction(e606e3dd-09d9-4171-9e80-0a314be2ff1e).html

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Handling uncertainty in information extraction

Autor: van Keulen, Maurice, Habib, Mena Badieh, Bobillo, Fernando, Carvalho, Rommel, da Costa, Paulo C.G.

Publikováno v: URSW 2011: Proceedings of the 7th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2011), 109-112
STARTPAGE=109;ENDPAGE=112;TITLE=URSW 2011

This position paper proposes an interactive approach for developing information extractors based on the ontology definition process with knowledge about possible (in)correctness of annotations. We discuss the problem of managing and manipulating prob

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::acb01c53dca657506f74526c75a4ad17
https://research.utwente.nl/en/publications/eb8e26d5-f0dd-408a-a947-a66cc5ee66d5

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