{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T14:48:49Z","timestamp":1768315729204,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":31,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,12,12]],"date-time":"2019-12-12T00:00:00Z","timestamp":1576108800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,12,12]]},"DOI":"10.1145\/3368567.3368568","type":"proceedings-article","created":{"date-parts":[[2019,12,12]],"date-time":"2019-12-12T20:15:12Z","timestamp":1576181712000},"page":"52-55","source":"Crossref","is-referenced-by-count":5,"title":["Exploring the Ideal Depth of Neural Network when Predicting Question Deletion on Community Question Answering"],"prefix":"10.1145","author":[{"given":"Souvick","family":"Ghosh","sequence":"first","affiliation":[{"name":"SC&amp;I, Rutgers University, New Brunswick, NJ, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Satanu","family":"Ghosh","sequence":"additional","affiliation":[{"name":"Jadavpur University, Kolkata, WB, India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2019,12,12]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/1367497.1367587"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/1341531.1341557"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1037\/a0026452"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/MSR.2013.6624015"},{"key":"e_1_3_2_1_5_1","unstructured":"Jimmy Ba and Rich Caruana. 2014. Do deep nets really need to be deep?. In Advances in neural information processing systems. 2654--2662. Jimmy Ba and Rich Caruana. 2014. Do deep nets really need to be deep?. In Advances in neural information processing systems. 2654--2662."},{"key":"e_1_3_2_1_6_1","unstructured":"Nicholas J Belkin. 1980. Anomalous states of knowledge as a basis for information retrieval. Canadian journal of information science 5 1 (1980) 133--143. Nicholas J Belkin. 1980. Anomalous states of knowledge as a basis for information retrieval. Canadian journal of information science 5 1 (1980) 133--143."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1108\/eb026722"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/1526709.1526717"},{"key":"e_1_3_2_1_9_1","unstructured":"Monica Bianchini and Franco Scarselli. 2014. On the complexity of neural network classifiers: A comparison between shallow and deep architectures. IEEE transactions on neural networks and learning systems 25 8 (2014) 1553--1565. Monica Bianchini and Franco Scarselli. 2014. On the complexity of neural network classifiers: A comparison between shallow and deep architectures. IEEE transactions on neural networks and learning systems 25 8 (2014) 1553--1565."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1002\/asi.23490"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/2566486.2568036"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"e_1_3_2_1_13_1","unstructured":"Geoffrey E Hinton and Ruslan R Salakhutdinov. 2006. Reducing the dimensionality of data with neural networks. science 313 5786 (2006) 504--507. Geoffrey E Hinton and Ruslan R Salakhutdinov. 2006. Reducing the dimensionality of data with neural networks. science 313 5786 (2006) 504--507."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/2187980.2188200"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/1871437.1871678"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/2063576.2063885"},{"key":"e_1_3_2_1_17_1","unstructured":"Tomas Mikolov Kai Chen Greg Corrado and Jeffrey Dean. 2013. Efficient estimation of word representations in vector space. arXiv preprint arXiv:1301.3781 (2013). Tomas Mikolov Kai Chen Greg Corrado and Jeffrey Dean. 2013. Efficient estimation of word representations in vector space. arXiv preprint arXiv:1301.3781 (2013)."},{"key":"e_1_3_2_1_18_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_19_1","unstructured":"Guido F Montufar Razvan Pascanu Kyunghyun Cho and Yoshua Bengio. 2014. On the number of linear regions of deep neural networks. In Advances in neural information processing systems. 2924--2932. Guido F Montufar Razvan Pascanu Kyunghyun Cho and Yoshua Bengio. 2014. On the number of linear regions of deep neural networks. In Advances in neural information processing systems. 2924--2932."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3020165.3022145"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"crossref","unstructured":"Sujith Ravi Bo Pang Vibhor Rastogi and Ravi Kumar. 2014. Great Question! Question Quality in Community Q&A.. In ICWSM. Sujith Ravi Bo Pang Vibhor Rastogi and Ravi Kumar. 2014. Great Question! Question Quality in Community Q&A.. In ICWSM.","DOI":"10.1609\/icwsm.v8i1.14529"},{"key":"e_1_3_2_1_22_1","unstructured":"Adriana Romero Nicolas Ballas Samira Ebrahimi Kahou Antoine Chassang Carlo Gatta and Yoshua Bengio. 2014. Fitnets: Hints for thin deep nets. arXiv preprint arXiv:1412.6550 (2014). Adriana Romero Nicolas Ballas Samira Ebrahimi Kahou Antoine Chassang Carlo Gatta and Yoshua Bengio. 2014. Fitnets: Hints for thin deep nets. arXiv preprint arXiv:1412.6550 (2014)."},{"key":"e_1_3_2_1_23_1","unstructured":"Karen Simonyan and Andrew Zisserman. 2014. Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 (2014). Karen Simonyan and Andrew Zisserman. 2014. Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 (2014)."},{"key":"e_1_3_2_1_24_1","unstructured":"Rupesh K Srivastava Klaus Greff and J\u00fcrgen Schmidhuber. 2015. Training very deep networks. In Advances in neural information processing systems. 2377--2385. Rupesh K Srivastava Klaus Greff and J\u00fcrgen Schmidhuber. 2015. Training very deep networks. In Advances in neural information processing systems. 2377--2385."},{"key":"e_1_3_2_1_25_1","unstructured":"Shizhao Sun Wei Chen Liwei Wang Xiaoguang Liu and Tie-Yan Liu. 2016. On the Depth of Deep Neural Networks: A Theoretical View.. In AAAI. 2066--2072. Shizhao Sun Wei Chen Liwei Wang Xiaoguang Liu and Tie-Yan Liu. 2016. On the Depth of Deep Neural Networks: A Theoretical View.. In AAAI. 2066--2072."},{"key":"e_1_3_2_1_26_1","unstructured":"Christian Szegedy Scott Reed Dumitru Erhan Dragomir Anguelov and Sergey Ioffe. 2014. Scalable high-quality object detection. arXiv preprint arXiv:1412.1441 (2014). Christian Szegedy Scott Reed Dumitru Erhan Dragomir Anguelov and Sergey Ioffe. 2014. Scalable high-quality object detection. arXiv preprint arXiv:1412.1441 (2014)."},{"key":"e_1_3_2_1_27_1","unstructured":"Matus Telgarsky. 2016. Benefits of depth in neural networks. arXiv preprint arXiv:1602.04485 (2016). Matus Telgarsky. 2016. Benefits of depth in neural networks. arXiv preprint arXiv:1602.04485 (2016)."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/2488388.2488506"},{"key":"e_1_3_2_1_29_1","volume-title":"Neural Networks: Tricks of the Trade","author":"Weston Jason"},{"key":"e_1_3_2_1_30_1","unstructured":"Sergey Zagoruyko and Nikos Komodakis. 2016. Wide residual networks. arXiv preprint arXiv:1605.07146 (2016). Sergey Zagoruyko and Nikos Komodakis. 2016. Wide residual networks. arXiv preprint arXiv:1605.07146 (2016)."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/2187980.2188201"}],"event":{"name":"FIRE '19: Forum for Information Retrieval Evaluation","location":"Kolkata India","acronym":"FIRE '19"},"container-title":["Proceedings of the 11th Forum for Information Retrieval Evaluation"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3368567.3368568","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3368567.3368568","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:01:26Z","timestamp":1750197686000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3368567.3368568"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,12,12]]},"references-count":31,"alternative-id":["10.1145\/3368567.3368568","10.1145\/3368567"],"URL":"https:\/\/doi.org\/10.1145\/3368567.3368568","relation":{},"subject":[],"published":{"date-parts":[[2019,12,12]]}}}