{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,8]],"date-time":"2025-10-08T22:17:43Z","timestamp":1759961863579,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":84,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,5,13]],"date-time":"2019-05-13T00:00:00Z","timestamp":1557705600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,5,13]]},"DOI":"10.1145\/3308558.3313511","type":"proceedings-article","created":{"date-parts":[[2019,5,13]],"date-time":"2019-05-13T12:17:59Z","timestamp":1557749879000},"page":"1897-1908","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["BOLT-K: Bootstrapping Ontology Learning via Transfer of Knowledge"],"prefix":"10.1145","author":[{"given":"Nikhita","family":"Vedula","sequence":"first","affiliation":[{"name":"The Ohio State University, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pranav","family":"Maneriker","sequence":"additional","affiliation":[{"name":"The Ohio State University, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Srinivasan","family":"Parthasarathy","sequence":"additional","affiliation":[{"name":"The Ohio State University, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2019,5,13]]},"reference":[{"key":"e_1_3_2_1_1_1","first-page":"1817","article-title":"A framework for learning predictive structures from multiple tasks and unlabeled data","author":"Ando Rie Kubota","year":"2005","unstructured":"Rie Kubota Ando and Tong Zhang . 2005 . A framework for learning predictive structures from multiple tasks and unlabeled data . Journal of Machine Learning Research6 , Nov (2005), 1817 - 1853 . Rie Kubota Ando and Tong Zhang. 2005. A framework for learning predictive structures from multiple tasks and unlabeled data. Journal of Machine Learning Research6, Nov (2005), 1817-1853.","journal-title":"Journal of Machine Learning Research6"},{"key":"e_1_3_2_1_2_1","first-page":"2787","article-title":"Translating embeddings for modeling multi-relational data","author":"Bordes Antoine","year":"2013","unstructured":"Antoine Bordes , Nicolas Usunier , Alberto Garcia-Duran , Jason Weston , and Oksana Yakhnenko . 2013 . Translating embeddings for modeling multi-relational data . In Advances in Neural Information Processing Systems. 2787 - 2795 . Antoine Bordes, Nicolas Usunier, Alberto Garcia-Duran, Jason Weston, and Oksana Yakhnenko. 2013. Translating embeddings for modeling multi-relational data. In Advances in Neural Information Processing Systems. 2787-2795.","journal-title":"Advances in Neural Information Processing Systems."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-31856-9_44"},{"key":"e_1_3_2_1_4_1","unstructured":"Kathi Canese and Sarah Weis. 2013. PubMed: the bibliographic database. (2013).  Kathi Canese and Sarah Weis. 2013. PubMed: the bibliographic database. (2013)."},{"key":"e_1_3_2_1_5_1","unstructured":"Ohio Supercomputer Center. 1987. Ohio Supercomputer Center. http:\/\/osc.edu\/ark:\/19495\/f5s1ph73. (1987).  Ohio Supercomputer Center. 1987. Ohio Supercomputer Center. http:\/\/osc.edu\/ark:\/19495\/f5s1ph73. (1987)."},{"key":"e_1_3_2_1_6_1","volume-title":"SMOTE: synthetic minority over-sampling technique. Journal of Artificial Intelligence Research16","author":"Chawla Nitesh V","year":"2002","unstructured":"Nitesh V Chawla , Kevin W Bowyer , Lawrence O Hall , and W Philip Kegelmeyer . 2002. SMOTE: synthetic minority over-sampling technique. Journal of Artificial Intelligence Research16 ( 2002 ), 321-357. Nitesh V Chawla, Kevin W Bowyer, Lawrence O Hall, and W Philip Kegelmeyer. 2002. SMOTE: synthetic minority over-sampling technique. Journal of Artificial Intelligence Research16 (2002), 321-357."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098017"},{"key":"e_1_3_2_1_8_1","unstructured":"Jason PC Chiu and Eric Nichols. 2015. Named entity recognition with bidirectional LSTM-CNNs. arXiv preprint arXiv:1511.08308(2015).  Jason PC Chiu and Eric Nichols. 2015. Named entity recognition with bidirectional LSTM-CNNs. arXiv preprint arXiv:1511.08308(2015)."},{"key":"e_1_3_2_1_9_1","first-page":"2493","article-title":"Natural language processing (almost) from scratch","author":"Collobert Ronan","year":"2011","unstructured":"Ronan Collobert , Jason Weston , Le\u00b4on Bottou , Michael Karlen , Koray Kavukcuoglu , and Pavel Kuksa . 2011 . Natural language processing (almost) from scratch . Journal of Machine Learning Research12 , Aug (2011), 2493 - 2537 . Ronan Collobert, Jason Weston, Le\u00b4on Bottou, Michael Karlen, Koray Kavukcuoglu, and Pavel Kuksa. 2011. Natural language processing (almost) from scratch. Journal of Machine Learning Research12, Aug (2011), 2493-2537.","journal-title":"Journal of Machine Learning Research12"},{"key":"e_1_3_2_1_10_1","volume-title":"Results of the WNUT2017 shared task on novel and emerging entity recognition. In Proceedings of the 3rd Workshop on Noisy User-generated Text. 140-147","author":"Derczynski Leon","year":"2017","unstructured":"Leon Derczynski , Eric Nichols , Marieke van Erp , and Nut Limsopatham . 2017 . Results of the WNUT2017 shared task on novel and emerging entity recognition. In Proceedings of the 3rd Workshop on Noisy User-generated Text. 140-147 . Leon Derczynski, Eric Nichols, Marieke van Erp, and Nut Limsopatham. 2017. Results of the WNUT2017 shared task on novel and emerging entity recognition. In Proceedings of the 3rd Workshop on Noisy User-generated Text. 140-147."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219938"},{"key":"e_1_3_2_1_12_1","first-page":"766","article-title":"Discriminative unsupervised feature learning with convolutional neural networks","author":"Dosovitskiy Alexey","year":"2014","unstructured":"Alexey Dosovitskiy , Jost Tobias Springenberg , Martin Riedmiller , and Thomas Brox . 2014 . Discriminative unsupervised feature learning with convolutional neural networks . In Advances in Neural Information Processing Systems. 766 - 774 . Alexey Dosovitskiy, Jost Tobias Springenberg, Martin Riedmiller, and Thomas Brox. 2014. Discriminative unsupervised feature learning with convolutional neural networks. In Advances in Neural Information Processing Systems. 766-774.","journal-title":"Advances in Neural Information Processing Systems."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"crossref","unstructured":"Marzieh Fadaee Arianna Bisazza and Christof Monz. 2017. Data augmentation for low-resource neural machine translation. arXiv preprint arXiv:1705.00440(2017).  Marzieh Fadaee Arianna Bisazza and Christof Monz. 2017. Data augmentation for low-resource neural machine translation. arXiv preprint arXiv:1705.00440(2017).","DOI":"10.18653\/v1\/P17-2090"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-49004-5_15"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"crossref","unstructured":"WordNet Fellbaum. 1998. An Electronic Lexical Database (Language Speech and Communication). (1998).  WordNet Fellbaum. 1998. An Electronic Lexical Database (Language Speech and Communication). (1998).","DOI":"10.7551\/mitpress\/7287.001.0001"},{"key":"e_1_3_2_1_16_1","unstructured":"Ruiji Fu Jiang Guo Bing Qin Wanxiang Che Haifeng Wang and Ting Liu. 2014. Learning semantic hierarchies via word embeddings. In ACL Vol 1 Long Papers.  Ruiji Fu Jiang Guo Bing Qin Wanxiang Che Haifeng Wang and Ting Liu. 2014. Learning semantic hierarchies via word embeddings. In ACL Vol 1 Long Papers."},{"key":"e_1_3_2_1_17_1","first-page":"2096","article-title":"Domain-adversarial training of neural networks","volume":"1","author":"Ganin Yaroslav","year":"2016","unstructured":"Yaroslav Ganin , Evgeniya Ustinova , Hana Ajakan , Pascal Germain , Hugo Larochelle , Fran\u00e7ois Laviolette , Mario Marchand , and Victor Lempitsky . 2016 . Domain-adversarial training of neural networks . The Journal of Machine Learning Research17 , 1 (2016), 2096 - 2030 . Yaroslav Ganin, Evgeniya Ustinova, Hana Ajakan, Pascal Germain, Hugo Larochelle, Fran\u00e7ois Laviolette, Mario Marchand, and Victor Lempitsky. 2016. Domain-adversarial training of neural networks. The Journal of Machine Learning Research17, 1 (2016), 2096-2030.","journal-title":"The Journal of Machine Learning Research17"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2013.6638947"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/2872427.2883037"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"e_1_3_2_1_21_1","unstructured":"Zhiting Hu Zichao Yang Xiaodan Liang Ruslan Salakhutdinov and Eric P Xing. 2017. Toward controlled generation of text. arXiv preprint arXiv:1703.00955(2017).  Zhiting Hu Zichao Yang Xiaodan Liang Ruslan Salakhutdinov and Eric P Xing. 2017. Toward controlled generation of text. arXiv preprint arXiv:1703.00955(2017)."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"crossref","unstructured":"Mohit Iyyer John Wieting Kevin Gimpel and Luke Zettlemoyer. 2018. Adversarial example generation with syntactically controlled paraphrase networks. arXiv preprint arXiv:1804.06059(2018).  Mohit Iyyer John Wieting Kevin Gimpel and Luke Zettlemoyer. 2018. Adversarial example generation with syntactically controlled paraphrase networks. arXiv preprint arXiv:1804.06059(2018).","DOI":"10.18653\/v1\/N18-1170"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P15-1067"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W17-3529"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"crossref","unstructured":"A. Karpathy and L. Fei-Fei. 2015. Deep visual-semantic alignments for generating image descriptions. In IEEE CVPR.  A. Karpathy and L. Fei-Fei. 2015. Deep visual-semantic alignments for generating image descriptions. In IEEE CVPR.","DOI":"10.1109\/CVPR.2015.7298932"},{"key":"e_1_3_2_1_26_1","volume-title":"GENIA corpus: a semantically annotated corpus for bio-textmining. Bioinformatics19, suppl_1","author":"Kim J-D","year":"2003","unstructured":"J-D Kim , Tomoko Ohta , Yuka Tateisi , and Jun'ichi Tsujii . 2003. GENIA corpus: a semantically annotated corpus for bio-textmining. Bioinformatics19, suppl_1 ( 2003 ), i180-i182. J-D Kim, Tomoko Ohta, Yuka Tateisi, and Jun'ichi Tsujii. 2003. GENIA corpus: a semantically annotated corpus for bio-textmining. Bioinformatics19, suppl_1 (2003), i180-i182."},{"key":"e_1_3_2_1_27_1","volume-title":"Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980(2014).","author":"Kingma Diederik P","year":"2014","unstructured":"Diederik P Kingma and Jimmy Ba . 2014 . Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980(2014). Diederik P Kingma and Jimmy Ba. 2014. Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980(2014)."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.5555\/2886521.2886636"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/DEEC.2005.17"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"crossref","unstructured":"Omer Levy Minjoon Seo Eunsol Choi and Luke Zettlemoyer. 2017. Zero-shot relation extraction via reading comprehension. arXiv preprint arXiv:1706.04115(2017).  Omer Levy Minjoon Seo Eunsol Choi and Luke Zettlemoyer. 2017. Zero-shot relation extraction via reading comprehension. arXiv preprint arXiv:1706.04115(2017).","DOI":"10.18653\/v1\/K17-1034"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.5555\/2886521.2886624"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-1200"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2008.17"},{"key":"e_1_3_2_1_34_1","first-page":"136","article-title":"Unsupervised domain adaptation with residual transfer networks","author":"Long Mingsheng","year":"2016","unstructured":"Mingsheng Long , Han Zhu , Jianmin Wang , and Michael I Jordan . 2016 . Unsupervised domain adaptation with residual transfer networks . In Advances in Neural Information Processing Systems. 136 - 144 . Mingsheng Long, Han Zhu, Jianmin Wang, and Michael I Jordan. 2016. Unsupervised domain adaptation with residual transfer networks. In Advances in Neural Information Processing Systems. 136-144.","journal-title":"Advances in Neural Information Processing Systems."},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1197\/jamia.M2051"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783314"},{"key":"e_1_3_2_1_37_1","unstructured":"Xuezhe Ma and Eduard Hovy. 2016. End-to-end sequence labeling via bi-directional lstm-cnns-crf. arXiv preprint arXiv:1603.01354(2016).  Xuezhe Ma and Eduard Hovy. 2016. End-to-end sequence labeling via bi-directional lstm-cnns-crf. arXiv preprint arXiv:1603.01354(2016)."},{"key":"e_1_3_2_1_38_1","first-page":"2579","article-title":"Visualizing data using t-SNE","author":"van der Maaten Laurens","year":"2008","unstructured":"Laurens van der Maaten and Geoffrey Hinton . 2008 . Visualizing data using t-SNE . Journal of machine learning research9 , Nov (2008), 2579 - 2605 . Laurens van der Maaten and Geoffrey Hinton. 2008. Visualizing data using t-SNE. Journal of machine learning research9, Nov (2008), 2579-2605.","journal-title":"Journal of machine learning research9"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P14-5010"},{"key":"e_1_3_2_1_40_1","volume-title":"Gene ontology based transfer learning for protein subcellular localization. BMC bioinformatics12, 1","author":"Mei Suyu","year":"2011","unstructured":"Suyu Mei , Wang Fei , and Shuigeng Zhou . 2011. Gene ontology based transfer learning for protein subcellular localization. BMC bioinformatics12, 1 ( 2011 ), 44. Suyu Mei, Wang Fei, and Shuigeng Zhou. 2011. Gene ontology based transfer learning for protein subcellular localization. BMC bioinformatics12, 1 (2011), 44."},{"key":"e_1_3_2_1_41_1","unstructured":"Tomas Mikolov Ilya Sutskever Kai Chen Greg S Corrado and Jeff Dean. 2013. Distributed representations of words and phrases and their compositionality. In Advances in neural information processing systems. 3111-3119.   Tomas Mikolov Ilya Sutskever Kai Chen Greg S Corrado and Jeff Dean. 2013. Distributed representations of words and phrases and their compositionality. In Advances in neural information processing systems. 3111-3119."},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.5555\/1690219.1690287"},{"key":"e_1_3_2_1_43_1","volume-title":"Proceedings of the 5th International Symposium on Languages in Biology and Medicine","author":"Moen SPFGH","year":"2013","unstructured":"SPFGH Moen and Tapio Salakoski2 Sophia Ananiadou . 2013 . Distributional semantics resources for biomedical text processing . In Proceedings of the 5th International Symposium on Languages in Biology and Medicine , Tokyo, Japan. 39-43. SPFGH Moen and Tapio Salakoski2 Sophia Ananiadou. 2013. Distributional semantics resources for biomedical text processing. In Proceedings of the 5th International Symposium on Languages in Biology and Medicine, Tokyo, Japan. 39-43."},{"key":"e_1_3_2_1_44_1","first-page":"190","article-title":"The national center for biomedical ontology","volume":"2","author":"Musen Mark A","year":"2011","unstructured":"Mark A Musen , Natalya F Noy , Nigam H Shah , Patricia L Whetzel , Christopher G Chute , Margaret-Anne Story , Barry Smith , and NCBO team. 2011 . The national center for biomedical ontology . Journal of the American Medical Informatics Association19 , 2 (2011), 190 - 195 . Mark A Musen, Natalya F Noy, Nigam H Shah, Patricia L Whetzel, Christopher G Chute, Margaret-Anne Story, Barry Smith, and NCBO team. 2011. The national center for biomedical ontology. Journal of the American Medical Informatics Association19, 2(2011), 190-195.","journal-title":"Journal of the American Medical Informatics Association19"},{"key":"e_1_3_2_1_45_1","volume-title":"IJCAI: International Joint Conference on Artificial Intelligence.","author":"Navigli Roberto","year":"2011","unstructured":"Roberto Navigli , Paola Velardi , and Stefano Faralli . 2011 . A graph-based algorithm for inducing lexical taxonomies from scratch . In IJCAI: International Joint Conference on Artificial Intelligence. Roberto Navigli, Paola Velardi, and Stefano Faralli. 2011. A graph-based algorithm for inducing lexical taxonomies from scratch. In IJCAI: International Joint Conference on Artificial Intelligence."},{"key":"e_1_3_2_1_46_1","volume-title":"A measure of betweenness centrality based on random walks. Social networks","author":"Newman Mark EJ","year":"2005","unstructured":"Mark EJ Newman . 2005. A measure of betweenness centrality based on random walks. Social networks ( 2005 ). Mark EJ Newman. 2005. A measure of betweenness centrality based on random walks. Social networks (2005)."},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.5555\/3016100.3016172"},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"crossref","unstructured":"Nanyun Peng and Mark Dredze. 2016. Improving named entity recognition for chinese social media with word segmentation representation learning. arXiv preprint arXiv:1603.00786(2016).  Nanyun Peng and Mark Dredze. 2016. Improving named entity recognition for chinese social media with word segmentation representation learning. arXiv preprint arXiv:1603.00786(2016).","DOI":"10.18653\/v1\/P16-2025"},{"key":"e_1_3_2_1_49_1","unstructured":"Nanyun Peng Hoifung Poon Chris Quirk Kristina Toutanova and Wen-tau Yih. 2017. Cross-sentence n-ary relation extraction with graph lstms. arXiv preprint arXiv:1708.03743(2017).  Nanyun Peng Hoifung Poon Chris Quirk Kristina Toutanova and Wen-tau Yih. 2017. Cross-sentence n-ary relation extraction with graph lstms. arXiv preprint arXiv:1708.03743(2017)."},{"key":"e_1_3_2_1_50_1","volume-title":"International Conference on Electronic Commerce and Web Technologies. Springer, 73-86","author":"Petrovski Petar","year":"2016","unstructured":"Petar Petrovski , Anna Primpeli , Robert Meusel , and Christian Bizer . 2016 . The WDC gold standards for product feature extraction and product matching . In International Conference on Electronic Commerce and Web Technologies. Springer, 73-86 . Petar Petrovski, Anna Primpeli, Robert Meusel, and Christian Bizer. 2016. The WDC gold standards for product feature extraction and product matching. In International Conference on Electronic Commerce and Web Technologies. Springer, 73-86."},{"key":"e_1_3_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.1145\/3041021.3055133"},{"key":"e_1_3_2_1_52_1","first-page":"3239","article-title":"Learning to Compose Domain-Specific Transformations for Data Augmentation","author":"Ratner Alexander J","year":"2017","unstructured":"Alexander J Ratner , Henry Ehrenberg , Zeshan Hussain , Jared Dunnmon , and Christopher Re\u00b4 . 2017 . Learning to Compose Domain-Specific Transformations for Data Augmentation . In Advances in Neural Information Processing Systems. 3239 - 3249 . Alexander J Ratner, Henry Ehrenberg, Zeshan Hussain, Jared Dunnmon, and Christopher Re\u00b4. 2017. Learning to Compose Domain-Specific Transformations for Data Augmentation. In Advances in Neural Information Processing Systems. 3239-3249.","journal-title":"Advances in Neural Information Processing Systems."},{"key":"e_1_3_2_1_53_1","doi-asserted-by":"publisher","DOI":"10.5555\/1889788.1889799"},{"key":"e_1_3_2_1_54_1","first-page":"257","volume-title":"Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers)","volume":"2","author":"Saito Itsumi","year":"2017","unstructured":"Itsumi Saito , Jun Suzuki , Kyosuke Nishida , Kugatsu Sadamitsu , Satoshi Kobashikawa , Ryo Masumura , Yuji Matsumoto , and Junji Tomita . 2017 . Improving Neural Text Normalization with Data Augmentation at Character-and Morphological Levels . In Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers) , Vol. 2 . 257 - 262 . Itsumi Saito, Jun Suzuki, Kyosuke Nishida, Kugatsu Sadamitsu, Satoshi Kobashikawa, Ryo Masumura, Yuji Matsumoto, and Junji Tomita. 2017. Improving Neural Text Normalization with Data Augmentation at Character-and Morphological Levels. In Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers), Vol. 2. 257-262."},{"key":"e_1_3_2_1_55_1","first-page":"1163","article-title":"Regularization with stochastic transformations and perturbations for deep semi-supervised learning","author":"Sajjadi Mehdi","year":"2016","unstructured":"Mehdi Sajjadi , Mehran Javanmardi , and Tolga Tasdizen . 2016 . Regularization with stochastic transformations and perturbations for deep semi-supervised learning . In Advances in Neural Information Processing Systems. 1163 - 1171 . Mehdi Sajjadi, Mehran Javanmardi, and Tolga Tasdizen. 2016. Regularization with stochastic transformations and perturbations for deep semi-supervised learning. In Advances in Neural Information Processing Systems. 1163-1171.","journal-title":"Advances in Neural Information Processing Systems."},{"key":"e_1_3_2_1_56_1","volume-title":"Proceedings of the 31st International Conference on Machine Learning (ICML-14)","author":"Santos Cicero D","year":"2014","unstructured":"Cicero D Santos and Bianca Zadrozny . 2014 . Learning character-level representations for part-of-speech tagging . In Proceedings of the 31st International Conference on Machine Learning (ICML-14) . 1818-1826. Cicero D Santos and Bianca Zadrozny. 2014. Learning character-level representations for part-of-speech tagging. In Proceedings of the 31st International Conference on Machine Learning (ICML-14). 1818-1826."},{"key":"e_1_3_2_1_57_1","unstructured":"Cicero Nogueira dos Santos Bing Xiang and Bowen Zhou. 2015. Classifying relations by ranking with convolutional neural networks. arXiv preprint arXiv:1504.06580(2015).  Cicero Nogueira dos Santos Bing Xiang and Bowen Zhou. 2015. Classifying relations by ranking with convolutional neural networks. arXiv preprint arXiv:1504.06580(2015)."},{"key":"e_1_3_2_1_58_1","doi-asserted-by":"crossref","unstructured":"Xiaoyu Shen Hui Su Yanran Li Wenjie Li Shuzi Niu Yang Zhao Akiko Aizawa and Guoping Long. 2017. A conditional variational framework for dialog generation. arXiv preprint arXiv:1705.00316(2017).  Xiaoyu Shen Hui Su Yanran Li Wenjie Li Shuzi Niu Yang Zhao Akiko Aizawa and Guoping Long. 2017. A conditional variational framework for dialog generation. arXiv preprint arXiv:1705.00316(2017).","DOI":"10.18653\/v1\/P17-2080"},{"key":"e_1_3_2_1_59_1","volume-title":"The OBO Foundry: coordinated evolution of ontologies to support biomedical data integration. Nature biotechnology25, 11","author":"Smith Barry","year":"2007","unstructured":"Barry Smith , Michael Ashburner , Cornelius Rosse , Jonathan Bard , William Bug , Werner Ceusters , Louis J Goldberg , Karen Eilbeck , Amelia Ireland , Christopher J Mungall , and others. 2007. The OBO Foundry: coordinated evolution of ontologies to support biomedical data integration. Nature biotechnology25, 11 ( 2007 ), 1251. Barry Smith, Michael Ashburner, Cornelius Rosse, Jonathan Bard, William Bug, Werner Ceusters, Louis J Goldberg, Karen Eilbeck, Amelia Ireland, Christopher J Mungall, and others. 2007. The OBO Foundry: coordinated evolution of ontologies to support biomedical data integration. Nature biotechnology25, 11 (2007), 1251."},{"key":"e_1_3_2_1_60_1","first-page":"1929","article-title":"Dropout: a simple way to prevent neural networks from overfitting","volume":"1","author":"Srivastava Nitish","year":"2014","unstructured":"Nitish Srivastava , Geoffrey Hinton , Alex Krizhevsky , Ilya Sutskever , and Ruslan Salakhutdinov . 2014 . Dropout: a simple way to prevent neural networks from overfitting . The Journal of Machine Learning Research15 , 1 (2014), 1929 - 1958 . Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov. 2014. Dropout: a simple way to prevent neural networks from overfitting. The Journal of Machine Learning Research15, 1 (2014), 1929-1958.","journal-title":"The Journal of Machine Learning Research15"},{"key":"e_1_3_2_1_61_1","volume-title":"International Conference on Machine Learning. 2071-2080","author":"Trouillon The\u00b4o","year":"2016","unstructured":"The\u00b4o Trouillon , Johannes Welbl , Sebastian Riedel , E&Acute;ric Gaussier, and Guillaume Bouchard . 2016 . Complex embeddings for simple link prediction . In International Conference on Machine Learning. 2071-2080 . The\u00b4o Trouillon, Johannes Welbl, Sebastian Riedel, E&Acute;ric Gaussier, and Guillaume Bouchard. 2016. Complex embeddings for simple link prediction. In International Conference on Machine Learning. 2071-2080."},{"volume-title":"Proceedings of the Conference on Empirical Methods in Natural Language Processing.","year":"2016","key":"e_1_3_2_1_62_1","unstructured":"Luu Tuan, Yi Tay, Siu Hui, and See Ng. 2016 . Learning Term Embeddings for Taxonomic Relation Identification Using Dynamic Weighting Neural Network . In Proceedings of the Conference on Empirical Methods in Natural Language Processing. Luu Tuan, Yi Tay, Siu Hui, and See Ng. 2016. Learning Term Embeddings for Taxonomic Relation Identification Using Dynamic Weighting Neural Network. In Proceedings of the Conference on Empirical Methods in Natural Language Processing."},{"key":"e_1_3_2_1_63_1","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3210000"},{"key":"e_1_3_2_1_64_1","doi-asserted-by":"publisher","DOI":"10.1145\/3079452.3079465"},{"key":"e_1_3_2_1_65_1","volume-title":"Proceedings of ACM SKGKDD WISDOM(2016)","author":"Vedula Nikhita","year":"2016","unstructured":"Nikhita Vedula , Srinivasan Parthasarathy , and Valerie L Shalin . 2016 . Predicting trust relations among users in a social network. On the roles of influence, cohesion and valence . Proceedings of ACM SKGKDD WISDOM(2016) . Nikhita Vedula, Srinivasan Parthasarathy, and Valerie L Shalin. 2016. Predicting trust relations among users in a social network. On the roles of influence, cohesion and valence. Proceedings of ACM SKGKDD WISDOM(2016)."},{"key":"e_1_3_2_1_66_1","doi-asserted-by":"publisher","DOI":"10.1145\/3091478.3091494"},{"key":"e_1_3_2_1_67_1","volume-title":"Multimodal Content Analysis for Effective Advertisements on YouTube. In 2017 IEEE International Conference on Data Mining (ICDM). IEEE, 1123-1128","author":"Vedula Nikhita","year":"2017","unstructured":"Nikhita Vedula , Wei Sun , Hyunhwan Lee , Harsh Gupta , Mitsunori Ogihara , Joseph Johnson , Gang Ren , and Srinivasan Parthasarathy . 2017 . Multimodal Content Analysis for Effective Advertisements on YouTube. In 2017 IEEE International Conference on Data Mining (ICDM). IEEE, 1123-1128 . Nikhita Vedula, Wei Sun, Hyunhwan Lee, Harsh Gupta, Mitsunori Ogihara, Joseph Johnson, Gang Ren, and Srinivasan Parthasarathy. 2017. Multimodal Content Analysis for Effective Advertisements on YouTube. In 2017 IEEE International Conference on Data Mining (ICDM). IEEE, 1123-1128."},{"key":"e_1_3_2_1_68_1","volume-title":"Ontolearn reloaded: A graph-based algorithm for taxonomy induction. Computational Linguistics39, 3","author":"Velardi Paola","year":"2013","unstructured":"Paola Velardi , Stefano Faralli , and Roberto Navigli . 2013. Ontolearn reloaded: A graph-based algorithm for taxonomy induction. Computational Linguistics39, 3 ( 2013 ), 665-707. Paola Velardi, Stefano Faralli, and Roberto Navigli. 2013. Ontolearn reloaded: A graph-based algorithm for taxonomy induction. Computational Linguistics39, 3 (2013), 665-707."},{"key":"e_1_3_2_1_69_1","doi-asserted-by":"publisher","DOI":"10.1145\/2020408.2020567"},{"key":"e_1_3_2_1_70_1","doi-asserted-by":"publisher","DOI":"10.5555\/2893873.2894046"},{"key":"e_1_3_2_1_71_1","doi-asserted-by":"crossref","unstructured":"John Wieting Jonathan Mallinson and Kevin Gimpel. 2017. Learning paraphrastic sentence embeddings from back-translated bitext. arXiv preprint arXiv:1706.01847(2017).  John Wieting Jonathan Mallinson and Kevin Gimpel. 2017. Learning paraphrastic sentence embeddings from back-translated bitext. arXiv preprint arXiv:1706.01847(2017).","DOI":"10.18653\/v1\/D17-1026"},{"key":"e_1_3_2_1_72_1","doi-asserted-by":"publisher","DOI":"10.5555\/3016100.3016273"},{"key":"e_1_3_2_1_73_1","unstructured":"Bishan Yang Wen-tau Yih Xiaodong He Jianfeng Gao and Li Deng. 2014. Embedding entities and relations for learning and inference in knowledge bases. arXiv preprint arXiv:1412.6575(2014).  Bishan Yang Wen-tau Yih Xiaodong He Jianfeng Gao and Li Deng. 2014. Embedding entities and relations for learning and inference in knowledge bases. arXiv preprint arXiv:1412.6575(2014)."},{"key":"e_1_3_2_1_74_1","unstructured":"Zhilin Yang Ruslan Salakhutdinov and William W Cohen. 2017. Transfer learning for sequence tagging with hierarchical recurrent networks. arXiv preprint arXiv:1703.06345(2017).  Zhilin Yang Ruslan Salakhutdinov and William W Cohen. 2017. Transfer learning for sequence tagging with hierarchical recurrent networks. arXiv preprint arXiv:1703.06345(2017)."},{"key":"e_1_3_2_1_75_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N16-1174"},{"key":"e_1_3_2_1_76_1","volume-title":"Proceedings of the Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 140-150","author":"Yu Jianxing","year":"2011","unstructured":"Jianxing Yu , Zheng-Jun Zha , Meng Wang , Kai Wang , and Tat-Seng Chua . 2011 . Domain-assisted product aspect hierarchy generation: towards hierarchical organization of unstructured consumer reviews . In Proceedings of the Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 140-150 . Jianxing Yu, Zheng-Jun Zha, Meng Wang, Kai Wang, and Tat-Seng Chua. 2011. Domain-assisted product aspect hierarchy generation: towards hierarchical organization of unstructured consumer reviews. In Proceedings of the Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 140-150."},{"key":"e_1_3_2_1_77_1","unstructured":"Zheng Yu Haixun Wang Xuemin Lin and Min Wang. 2015. Learning Term Embeddings for Hypernymy Identification.. In IJCAI.   Zheng Yu Haixun Wang Xuemin Lin and Min Wang. 2015. Learning Term Embeddings for Hypernymy Identification.. In IJCAI."},{"key":"e_1_3_2_1_78_1","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2017.8258168"},{"key":"e_1_3_2_1_79_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1203"},{"key":"e_1_3_2_1_80_1","unstructured":"Wenyuan Zeng Yankai Lin Zhiyuan Liu and Maosong Sun. 2016. Incorporating relation paths in neural relation extraction. arXiv preprint arXiv:1609.07479(2016).  Wenyuan Zeng Yankai Lin Zhiyuan Liu and Maosong Sun. 2016. Incorporating relation paths in neural relation extraction. arXiv preprint arXiv:1609.07479(2016)."},{"key":"e_1_3_2_1_81_1","unstructured":"Jing Zhang Wanqing Li and Philip Ogunbona. 2017. Transfer learning for cross-dataset recognition: a survey. arXiv preprint arXiv:1705.04396(2017).  Jing Zhang Wanqing Li and Philip Ogunbona. 2017. Transfer learning for cross-dataset recognition: a survey. arXiv preprint arXiv:1705.04396(2017)."},{"key":"e_1_3_2_1_82_1","unstructured":"Xiang Zhang and Yann LeCun. 2015. Text understanding from scratch. arXiv preprint arXiv:1502.01710(2015).  Xiang Zhang and Yann LeCun. 2015. Text understanding from scratch. arXiv preprint arXiv:1502.01710(2015)."},{"key":"e_1_3_2_1_83_1","first-page":"649","article-title":"Character-level convolutional networks for text classification","author":"Zhang Xiang","year":"2015","unstructured":"Xiang Zhang , Junbo Zhao , and Yann LeCun . 2015 . Character-level convolutional networks for text classification . In Advances in Neural Information Processing Systems. 649 - 657 . Xiang Zhang, Junbo Zhao, and Yann LeCun. 2015. Character-level convolutional networks for text classification. In Advances in Neural Information Processing Systems. 649-657.","journal-title":"Advances in Neural Information Processing Systems."},{"key":"e_1_3_2_1_84_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-2034"}],"event":{"name":"WWW '19: The Web Conference","sponsor":["IW3C2 International World Wide Web Conference Committee"],"location":"San Francisco CA USA","acronym":"WWW '19"},"container-title":["The World Wide Web Conference"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3308558.3313511","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3308558.3313511","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:53:19Z","timestamp":1750204399000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3308558.3313511"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,5,13]]},"references-count":84,"alternative-id":["10.1145\/3308558.3313511","10.1145\/3308558"],"URL":"https:\/\/doi.org\/10.1145\/3308558.3313511","relation":{},"subject":[],"published":{"date-parts":[[2019,5,13]]},"assertion":[{"value":"2019-05-13","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}