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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 Data for Cyrillic Reference Parsing ... Shapiro, Igor; Saier, Tarek; Färber, Michael. - : Zenodo, 2021 BASE Show details 2 Data for Training and Evaluating Metadata Extraction Models based on 15 Thousand Cyrillic Script Publications ... Krause, Johan; Shapiro, Igor; Saier, Tarek. - : Zenodo, 2021 BASE Show details 3 Token-level Multilingual Epidemic Dataset for Event Extraction ... Mutuvi, Stephen; Boros, Emanuela; Doucet, Antoine. - : Zenodo, 2021 BASE Show details 4 Token-level Multilingual Epidemic Dataset for Event Extraction ... Mutuvi, Stephen; Boros, Emanuela; Doucet, Antoine. - : Zenodo, 2021 BASE Show details 5 Data for Training and Evaluating Metadata Extraction Models based on 15 Thousand Cyrillic Script Publications ... Krause, Johan; Shapiro, Igor; Saier, Tarek; Färber, Michael. - : Zenodo, 2021 Abstract: Description Data for training and evaluating sequence labeling models for metadata extraction based on 15,553 Cyrillic script language papers spanning 27 years and three languages. For each paper, ground truth sequence labeling output is provided in TEI format and as annotated plain text. The code used for creating and evaluating the data set can be found on GitHub. For citing , you can refer to our paper introducing the data set: @inproceedings{kssf-2021-cyrillic, title = {{Bootstrapping Multilingual Metadata Extraction: A Showcase in Cyrillic}}, author = {Krause, Johan and Shapiro, Igor and Saier, Tarek and F{\"a}rber, Michael}, booktitle = {Proceedings of the Second Workshop on Scholarly Document Processing}, year = {2021} } ... Keyword: bulgarian; cyrillic; metadata extraction; russian; scholarly data; sequence labeling; ukranian URL: https://dx.doi.org/10.5281/zenodo.4708696 https://zenodo.org/record/4708696 BASE Hide details 6 Data for Cyrillic Reference Parsing ... Shapiro, Igor; Saier, Tarek; Färber, Michael. - : Zenodo, 2021 BASE Show details 7 HTLinker: A Head-to-Tail Linker for Nested Named Entity Recognition Xiang Li; Junan Yang; Hui Liu... In: Symmetry ; Volume 13 ; Issue 9 (2021) BASE Show details 8 A Deep Neural Network-Based Model for Named Entity Recognition for Hindi Language Sharma, Richa; Agarwal, Basant; Khan, Mohammad S.... In: ETSU Faculty Works (2020) BASE Show details 9 NAT: Noise-Aware Training for Robust Neural Sequence Labeling Behnke, Sven; Namysl, Marcin; Köhler, Joachim In: Fraunhofer IAIS (2020) BASE Show details 10 Modeling a label global context for sequence tagging in recurrent neural networks ; Modélisation d'un contexte global d'étiquettes pour l'étiquetage de séquences dans les réseaux neuronaux récurrents Dinarelli, Marco; Grobol, Loïc In: Journée commune AFIA-ATALA sur le Traitement Automatique des Langues et l’Intelligence Artificielle pendant la onzième édition de la plate-forme Intelligence Artificielle (PFIA 2018) ; https://hal.archives-ouvertes.fr/hal-02002111 ; Journée commune AFIA-ATALA sur le Traitement Automatique des Langues et l’Intelligence Artificielle pendant la onzième édition de la plate-forme Intelligence Artificielle (PFIA 2018), Jul 2018, Nancy, France ; https://pfia2018.loria.fr/journee-tal/ (2018) BASE Show details 11 A Simple and Effective biLSTM Approach to Aspect-Based Sentiment Analysis in Social Media Customer Feedback Clematide, Simon In: Clematide, Simon (2018). A Simple and Effective biLSTM Approach to Aspect-Based Sentiment Analysis in Social Media Customer Feedback. In: Barbaresi, Adrien; Biber, Hanno; Neubarth, Friedrich; Osswald, Rainer. 14th Conference on Natural Language Processing - KONVENS 2018. Vienna: Verlag der Österreichischen Akademie der Wissenschaften, 29-33. (2018) BASE Show details 12 Semi-Markov models for sequence segmentation Shi, Qinfeng; Altun, Yasemin; Smola, Alexander... In: Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL 2007) ; http://www.aclweb.org/anthology-new/D/D07/D07-1.pdf (2015) BASE Show details 13 Elephant: Sequence Labeling for Word and Sentence Segmentation Evang, Kilian; Basile, Valerio; Chrupała, Grzegorz... In: EMNLP 2013 ; https://hal.archives-ouvertes.fr/hal-01344500 ; EMNLP 2013, Oct 2013, Seattle, United States (2013) BASE Show details 14 Unsupervised Large-Vocabulary Word Sense Disambiguation with Graph-based Algorithms for Sequence Data Labeling Mihalcea, Rada, 1974- In: Joint Conference on Human Language Technology / Empirical Methods in Natural Language Processing (HLT/EMNLP), 2005, Vancouver, British Columbia, Canada (2005) BASE Show details 15 Feature-Rich Information Extraction for the Technical Trend-Map Creation Risa Nishiyama; Yuta Tsuboi; Yuya Unno... In: http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings8/NTCIR/04-NTCIR8-PATMN-NishiyamaR.pdf BASE Show details

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