Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Mena Badieh Habib"'
Publikováno v:
GSTF Journal on Computing (JoC). 5
Text classification (TC) is the process of classifying documents into a predefined set of categories based on their content. Arabic language is highly inflectional and derivational language which makes text mining a complex task. In this paper we app
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb312d1b13d9e8c5022363e99cd6cf7c
https://doi.org/10.7603/s40601-016-0016-9
https://doi.org/10.7603/s40601-016-0016-9
Autor:
Mena Badieh Habib, Maurice van Keulen
Publikováno v:
Natural language engineering, 22(3), 423-456. Cambridge University Press
Natural Language Engineering, 22(3), 423-456. Cambridge University Press
Natural Language Engineering, 22(3), 423-456. Cambridge University Press
Twitter is a rich source of continuously and instantly updated information. Shortness and informality of tweets are challenges for Natural Language Processing tasks. In this paper, we present TwitterNEED, a hybrid approach for Named Entity Extraction
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6287bf4d84a8dcc1b04e0ab31854ec0
https://research.utwente.nl/en/publications/cf41c80f-e632-4bae-ab4a-50f6dd62bf0d
https://research.utwente.nl/en/publications/cf41c80f-e632-4bae-ab4a-50f6dd62bf0d
Publikováno v:
K-CAP
Proceedings of the 8th International Conference on Knowledge Capture (K-CAP 2015)
Proceedings of the 8th International Conference on Knowledge Capture (K-CAP 2015), New York, USA
Proceedings of the 8th International Conference on Knowledge Capture (K-CAP 2015)
Proceedings of the 8th International Conference on Knowledge Capture (K-CAP 2015), New York, USA
Relation extraction involves different types of uncertainty due to the imperfection of the extraction tools and the inherent ambiguity of unstructured text. In this paper, we discuss several ways of handling uncertainties in relation extraction from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf7f1bb96cd7d030b2dc7cbb81b73961
https://doi.org/10.1145/2815833.2816960
https://doi.org/10.1145/2815833.2816960
Publikováno v:
DEXA Workshops
Proceedings of the 5th DEXA Workshop on Information Systems for Situation Awareness and Situation Management (ISSASiM 2015), Valencia, Spain, 147-151
STARTPAGE=147;ENDPAGE=151;TITLE=Proceedings of the 5th DEXA Workshop on Information Systems for Situation Awareness and Situation Management (ISSASiM 2015), Valencia, Spain
Proceedings of the 5th DEXA Workshop on Information Systems for Situation Awareness and Situation Management (ISSASiM 2015), 147-151
STARTPAGE=147;ENDPAGE=151;TITLE=Proceedings of the 5th DEXA Workshop on Information Systems for Situation Awareness and Situation Management (ISSASiM 2015)
Proceedings of the 5th DEXA Workshop on Information Systems for Situation Awareness and Situation Management (ISSASiM 2015), Valencia, Spain, 147-151
STARTPAGE=147;ENDPAGE=151;TITLE=Proceedings of the 5th DEXA Workshop on Information Systems for Situation Awareness and Situation Management (ISSASiM 2015), Valencia, Spain
Proceedings of the 5th DEXA Workshop on Information Systems for Situation Awareness and Situation Management (ISSASiM 2015), 147-151
STARTPAGE=147;ENDPAGE=151;TITLE=Proceedings of the 5th DEXA Workshop on Information Systems for Situation Awareness and Situation Management (ISSASiM 2015)
Semantic incompatibility is a conflict that occurs in the meanings of data. In this paper, we propose an approach for data cleaning by resolving semantic incompatibility. Our approach applies a dynamic and incremental enhancement of data quality. It
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3124d18af5a61a52e2367885547bb22b
https://doi.org/10.1109/dexa.2015.45
https://doi.org/10.1109/dexa.2015.45
Autor:
Mena Badieh Habib, Maurice van Keulen
Publikováno v:
ISSUE=53;TITLE=53rd Annual Meeting of the Association for Computational Linguistics 2015
Proceedings of the System Demonstrations of The 53rd Annual Meeting of the Association for Computational Linguistics (ACL 2015), Beijing, China
ACL (System Demonstrations)
Proceedings of the System Demonstrations of The 53rd Annual Meeting of the Association for Computational Linguistics (ACL 2015), Beijing, China
ACL (System Demonstrations)
In this demo paper, we present NEED4Tweet, a Twitterbot for named entity extraction (NEE) and disambiguation (NED) for Tweets. The straightforward application of state-of-the-art extraction and disambiguation approaches on informal text widely used i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b911dbcde37e8adbd156d927a0895af
https://research.utwente.nl/en/publications/cd508709-2918-4d26-a025-c2493bbf7c6a
https://research.utwente.nl/en/publications/cd508709-2918-4d26-a025-c2493bbf7c6a
Autor:
Mena Badieh Habib, Maurice van Keulen
Publikováno v:
Uncertainty Reasoning for the Semantic Web III, 309-328
STARTPAGE=309;ENDPAGE=328;TITLE=Uncertainty Reasoning for the Semantic Web III
Uncertainty Reasoning for the Semantic Web III, 8816, 309-328
Uncertainty Reasoning for the Semantic Web III ISBN: 9783319134123
URSW (LNCS Vol.)
STARTPAGE=309;ENDPAGE=328;TITLE=Uncertainty Reasoning for the Semantic Web III
Uncertainty Reasoning for the Semantic Web III, 8816, 309-328
Uncertainty Reasoning for the Semantic Web III ISBN: 9783319134123
URSW (LNCS Vol.)
Social media content represents a large portion of all textual content appearing on the Internet. These streams of user generated content (UGC) provide an opportunity and challenge for media analysts to analyze huge amount of new data and use them to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c19a8c32801a761f88661a492570b11e
https://cris.maastrichtuniversity.nl/en/publications/ca87e66d-5863-4eae-85db-f1470c171c73
https://cris.maastrichtuniversity.nl/en/publications/ca87e66d-5863-4eae-85db-f1470c171c73
Publikováno v:
Proceedings of the Third Workshop on Semantic Web and Information Extraction (SWAIE 2014), 9-16
STARTPAGE=9;ENDPAGE=16;TITLE=Proceedings of the Third Workshop on Semantic Web and Information Extraction (SWAIE 2014)
Proceedings of the Third Workshop on Semantic Web and Information Extraction (SWAIE 2014), Dublin, Ireland, W14-62, 9-16
SWAIE@COLING
STARTPAGE=9;ENDPAGE=16;TITLE=Proceedings of the Third Workshop on Semantic Web and Information Extraction (SWAIE 2014)
Proceedings of the Third Workshop on Semantic Web and Information Extraction (SWAIE 2014), Dublin, Ireland, W14-62, 9-16
SWAIE@COLING
The rapid growth in IT in the last two decades has led to a growth in the amount of information available online. A new style for sharing information is social media. Social media is a continuously instantly updated source of information. In this pos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a14b9c1ca0999f38677414166f17a138
https://research.utwente.nl/en/publications/49665d8d-6556-49b0-b265-87762e92aedf
https://research.utwente.nl/en/publications/49665d8d-6556-49b0-b265-87762e92aedf
Autor:
Mena Badieh Habib
Social media content represents a large portion of all textual content appearing on the Internet. These streams of user generated content (UGC) provide an opportunity and challenge for media analysts to analyze huge amount of new data and use them to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bce6710108863d15df026538922f51c1
https://cris.maastrichtuniversity.nl/en/publications/78075a29-1b03-4f8c-a180-282314b5788f
https://cris.maastrichtuniversity.nl/en/publications/78075a29-1b03-4f8c-a180-282314b5788f
Publikováno v:
Proceedings of the Sixth International Workshop on Exploiting Semantic Annotations in Information Retrieval, ESAIR 2013, 37-40
STARTPAGE=37;ENDPAGE=40;TITLE=Proceedings of the Sixth International Workshop on Exploiting Semantic Annotations in Information Retrieval, ESAIR 2013
Proceedings of the Sixth International Workshop on Exploiting Semantic Annotations in Information Retrieval, ESAIR 2013, San Francisco, USA, 37-40
STARTPAGE=37;ENDPAGE=40;TITLE=Proceedings of the Sixth International Workshop on Exploiting Semantic Annotations in Information Retrieval, ESAIR 2013, San Francisco, USA
ESAIR
STARTPAGE=37;ENDPAGE=40;TITLE=Proceedings of the Sixth International Workshop on Exploiting Semantic Annotations in Information Retrieval, ESAIR 2013
Proceedings of the Sixth International Workshop on Exploiting Semantic Annotations in Information Retrieval, ESAIR 2013, San Francisco, USA, 37-40
STARTPAGE=37;ENDPAGE=40;TITLE=Proceedings of the Sixth International Workshop on Exploiting Semantic Annotations in Information Retrieval, ESAIR 2013, San Francisco, USA
ESAIR
Named entity extraction (NEE) and disambiguation (NED) are two areas of research that are well covered in literature. Typical fields addressing these topics are information retrieval, natural language processing, and semantic web. Although these topi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::78aaff067fad524fa9162385b0800ee5
https://research.utwente.nl/en/publications/b87b5d38-28b7-45e7-b0bd-7c282fd47800
https://research.utwente.nl/en/publications/b87b5d38-28b7-45e7-b0bd-7c282fd47800
Autor:
Mena Badieh Habib, M. van Keulen
Publikováno v:
KDIR/KMIS
Proceedings of the 5th International Conference on Knowledge Discovery and Information Retrieval, KDIR 2013, Vilamoura, Portugal, 267-276
STARTPAGE=267;ENDPAGE=276;TITLE=Proceedings of the 5th International Conference on Knowledge Discovery and Information Retrieval, KDIR 2013, Vilamoura, Portugal
Proceedings of the 5th International Conference on Knowledge Discovery and Information Retrieval, KDIR 2013
Scopus-Elsevier
Proceedings of the 5th International Conference on Knowledge Discovery and Information Retrieval, KDIR 2013, Vilamoura, Portugal, 267-276
STARTPAGE=267;ENDPAGE=276;TITLE=Proceedings of the 5th International Conference on Knowledge Discovery and Information Retrieval, KDIR 2013, Vilamoura, Portugal
Proceedings of the 5th International Conference on Knowledge Discovery and Information Retrieval, KDIR 2013
Scopus-Elsevier
Social media is a rich source of information. To make use of this information, it is sometimes required to extract and disambiguate named entities. In this paper we focus on named entity disambiguation (NED) in twitter messages. NED in tweets is chal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1a7cac2cf3537823e56fe8f0810296c
https://doi.org/10.5220/0004536302670276
https://doi.org/10.5220/0004536302670276