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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 BASE Show 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 Abstract: This study investigates the behavior of a feature extraction neural network model trained on a large amount of single language data (source language) on a set of under-resourced target languages. The coverage of the source language acoustic space was changed in two ways: (1) by changing the amount of training data and (2) by altering the level of detail of acoustic units (by changing the triphone clustering). We observe the effect of these changes on the performance on target language in two scenarios: (1) the source-language NNs were used directly, (2) NNs were first ported to target language. The results show that increasing coverage as well as level of detail on the source language improves the target language system performance in both scenarios. For the first one, both source language characteristic have about the same effect. For the second scenario, the amount of data in source language is more important than the level of detail. The possibility to include large data into multilingual training set was also investigated. Our experiments point out possible risk of over-weighting the NNs towards the source language with large data. This degrades the performance on part of the target languages, compared to the setting where the amounts of data per language are balanced. ; Procedia Computer Science , 81 (2016), 01 Jan 0001, 01 Jan 0001, 5th Workshop on Spoken Language Technology for Under-resourced Languages, SLTU 2016, 9-12 May 2016, Yogyakarta, Indonesia This is an open access article under the CC BY-NC-ND license Keyword: feature extraction; Fisher database; IARPA Collection; large data; multilingual training; Stacked Bottle-Neck URL: http://www.dtic.mil/docs/citations/AD1040150 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=AD1040150 BASE Hide 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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