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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 15 of 15 1 A dataset for open event extraction in English Nguyen, K.-H.; Tannier, X.; Ferret, Olivier... In: 10th International Conference on Language Resources and Evaluation, LREC 2016 ; https://hal-cea.archives-ouvertes.fr/cea-01843179 ; 10th International Conference on Language Resources and Evaluation, LREC 2016, May 2016, Portoroz, Slovenia. pp.1939-1943 (2016) BASE Show details 2 Religious Beliefs on Social Media: Large Dataset of Tumblr Posts and Bloggers Consisting of Religion Based Tags ... Agarwal, Swati. - : Mendeley, 2016 BASE Show details 3 SemEval-2016 Task 13: Taxonomy Extraction Evaluation (TExEval-2) Bordea, Georgeta; Lefever, Els; Buitelaar, Paul. - : Insight Centre for Data Analytics, 2016 BASE Show details 4 Exploratory relation extraction in large multilingual data ... : Explorative Relationsextraktion in mehrsprachigen Massendaten ... Akbik, Alan. - : Technische Universität Berlin, 2016 BASE Show details 5 Arabic Light Stemmer For Better Search Accuracy ... Khedr, Sahar; Sayed, Dina; Hanafy, Ayman. - : Zenodo, 2016 BASE Show details 6 Arabic Light Stemmer For Better Search Accuracy ... Khedr, Sahar; Sayed, Dina; Hanafy, Ayman. - : Zenodo, 2016 Abstract: Arabic is one of the most ancient and critical languages in the world. It has over than 250 million Arabic native speakers and more than twenty countries having Arabic as one of its official languages. In the past decade, we have witnessed a rapid evolution in smart devices, social network and technology sector which led to the need to provide tools and libraries that properly tackle the Arabic language in different domains. Stemming is one of the most crucial linguistic fundamentals. It is used in many applications especially in information extraction and text mining fields. The motivation behind this work is to enhance the Arabic light stemmer to serve the data mining industry and leverage it in an open source community. The presented implementation works on enhancing the Arabic light stemmer by utilizing and enhancing an algorithm that provides an extension for a new set of rules and patterns accompanied by adjusted procedure. This study has proven a significant enhancement for better search accuracy with ... : {"references": ["Tinsley, Teresa, and Kathryn Board. \"Languages for the future: Which languages the UK needs most and why.\" British Council (2013).", "http://www.internetworldstats.com/stats7.htm.(accessed August 1, 2016)", "http://fortune.com/2015/07/14/ibm-watson-home-middle-east/ (accessed August 1, 2016)", "Larkey, Leah S., Lisa Ballesteros, and Margaret E. Connell. \"Improving stemming for Arabic information retrieval: light stemming and co-occurrence analysis.\" Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval. ACM,", "El-Beltagy, Samhaa R., and Ahmed Rafea. \"An accuracy-enhanced light stemmer for arabic text.\" ACM Transactions on Speech and Language Processing (TSLP) 7.2 (2011): 2.", "Ding, Wei, and Gary Marchionini. \"A study on video browsing strategies.\" (1998).", "Porter, Martin F. \"An algorithm for suffix stripping.\" Program 14.3 (1980): 130-137.", "Larkey, Leah S., Lisa Ballesteros, and Margaret E. Connell. \"Light ... Keyword: Arabic data mining; Arabic Information extraction; Arabic Light stemmer; Arabic stemmer. URL: https://zenodo.org/record/1127217 https://dx.doi.org/10.5281/zenodo.1127217 BASE Hide details 7 A Relationship Extraction Method From Literary Fiction Considering Korean Linguistic Features ... Ahn, Hee-Jeong; Kee-Won Kim; Kim, Seung-Hoon. - : Zenodo, 2016 BASE Show details 8 A Relationship Extraction Method From Literary Fiction Considering Korean Linguistic Features ... Ahn, Hee-Jeong; Kee-Won Kim; Kim, Seung-Hoon. - : Zenodo, 2016 BASE Show details 9 Loay & Safa Dataset ... Sami, Safa. - : Mendeley, 2016 BASE Show details 10 Investigating Techniques for Low Resource Conversational Speech Recognition Laurent, Antoine; Fraga-Silva,Thiago; Lamel,Lori. - 2016 BASE Show details 11 Study of Large Data Resources for Multilingual Training and System Porting (Pub Version, Open Access) Grezl, Frantisek; Egorova,Ekaterina; Karafiat,Martin. - 2016 BASE Show details 12 Microbial Phenomics Information Extractor (MicroPIE): A natural language processing tool for the automated acquisition of prokaryotic phenotypic characters from text sources Mao, Jin; Moore, Lisa R., Ph.D.; Blank, Carrine E.... In: Faculty Publications (2016) BASE Show details 13 Coronary artery analysis: Computerâ assisted selection of bestâ quality segments in multipleâ phase coronary CT angiography Zhou, Chuan; Chan, Heang‐ping; Hadjiiski, Lubomir M.. - : American Association of Physicists in Medicine, 2016. : Wiley Periodicals, Inc., 2016 BASE Show details 14 Distantly Supervised Web Relation Extraction for Knowledge Base Population Augenstein, I; Maynard, D; Ciravegna, F In: Semantic Web Journal , 7 (4) pp. 335-349. (2016) (2016) BASE Show details 15 Extraction d'associations lexicales fortes dans les commentaires Nouasria, Abderraouf. - 2016 BASE Show details

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