{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:19:44Z","timestamp":1750220384069,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":24,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,8,14]],"date-time":"2021-08-14T00:00:00Z","timestamp":1628899200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-sa\/4.0\/"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,8,14]]},"DOI":"10.1145\/3447548.3467126","type":"proceedings-article","created":{"date-parts":[[2021,8,12]],"date-time":"2021-08-12T06:12:08Z","timestamp":1628748728000},"page":"3404-3413","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["VisualTextRank: Unsupervised Graph-based Content Extraction for Automating Ad Text to Image Search"],"prefix":"10.1145","author":[{"given":"Shaunak","family":"Mishra","sequence":"first","affiliation":[{"name":"Yahoo Research, New York, NY, USA"}]},{"given":"Mikhail","family":"Kuznetsov","sequence":"additional","affiliation":[{"name":"Yahoo Research, New York, NY, USA"}]},{"given":"Gaurav","family":"Srivastava","sequence":"additional","affiliation":[{"name":"Yahoo Research, San Francisco, CA, USA"}]},{"given":"Maxim","family":"Sviridenko","sequence":"additional","affiliation":[{"name":"Yahoo! Research, New York, NY, USA"}]}],"member":"320","published-online":{"date-parts":[[2021,8,14]]},"reference":[{"key":"e_1_3_2_2_1_1","unstructured":"[n.d.]. IAB categories. https:\/\/developers.mopub.com\/publishers\/ui\/iab-category-blocking\/.  [n.d.]. IAB categories. https:\/\/developers.mopub.com\/publishers\/ui\/iab-category-blocking\/."},{"key":"e_1_3_2_2_2_1","unstructured":"[n.d.]. Unsplash: Photos for everyone.  [n.d.]. Unsplash: Photos for everyone."},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3132868"},{"key":"e_1_3_2_2_4_1","volume-title":"COLING","author":"Boudin Florian","year":"2016","unstructured":"Florian Boudin . 2016 . pke: an open source python-based keyphrase extraction toolkit . In COLING 2016. Florian Boudin. 2016. pke: an open source python-based keyphrase extraction toolkit. In COLING 2016."},{"key":"e_1_3_2_2_5_1","volume-title":"Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805","author":"Devlin Jacob","year":"2018","unstructured":"Jacob Devlin , Ming-Wei Chang , Kenton Lee , and Kristina Toutanova . 2018 . Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018). Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018)."},{"key":"e_1_3_2_2_6_1","volume-title":"Simao and Joao Soares","author":"Kofi Boakye Herdade Armin Kappeler","year":"2019","unstructured":"Armin Kappeler Kofi Boakye Herdade , Simao and Joao Soares . 2019 . Image captioning: Transforming objects into words. In arXiv preprint arXiv:1906.05963. Armin Kappeler Kofi Boakye Herdade, Simao and Joao Soares. 2019. Image captioning: Transforming objects into words. In arXiv preprint arXiv:1906.05963."},{"key":"e_1_3_2_2_7_1","volume-title":"Sofie Van Landeghem, and Adriane Boyd","author":"Honnibal Matthew","year":"2020","unstructured":"Matthew Honnibal , Ines Montani , Sofie Van Landeghem, and Adriane Boyd . 2020 . spaCy: Industrial-strength Natural Language Processing in Python . Matthew Honnibal, Ines Montani, Sofie Van Landeghem, and Adriane Boyd. 2020. spaCy: Industrial-strength Natural Language Processing in Python."},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"crossref","unstructured":"Zaeem Hussain Mingda Zhang Xiaozhong Zhang Keren Ye Christopher Thomas Zuha Agha Nathan Ong and Adriana Kovashka. 2017. Automatic Understanding of Image and Video Advertisements. In CVPR.  Zaeem Hussain Mingda Zhang Xiaozhong Zhang Keren Ye Christopher Thomas Zuha Agha Nathan Ong and Adriana Kovashka. 2017. Automatic Understanding of Image and Video Advertisements. In CVPR.","DOI":"10.1109\/CVPR.2017.123"},{"key":"e_1_3_2_2_9_1","volume-title":"Biased TextRank: Unsupervised Graph-Based Content Extraction (COLING","author":"Kazemi Ashkan","year":"2020","unstructured":"Ashkan Kazemi , Ver\u00f3nica P\u00e9rez-Rosas , and Rada Mihalcea . [n.d.]. Biased TextRank: Unsupervised Graph-Based Content Extraction (COLING 2020 ). Ashkan Kazemi, Ver\u00f3nica P\u00e9rez-Rosas, and Rada Mihalcea. [n.d.]. Biased TextRank: Unsupervised Graph-Based Content Extraction (COLING 2020)."},{"key":"e_1_3_2_2_10_1","volume-title":"OpenImages: A public dataset for large-scale multi-label and multi-class image classification. Dataset available from https:\/\/github.com\/openimages","author":"Krasin Ivan","year":"2017","unstructured":"Ivan Krasin , Tom Duerig , Neil Alldrin , Vittorio Ferrari , Sami Abu-El-Haija , Alina Kuznetsova , Hassan Rom , Jasper Uijlings , Stefan Popov , Andreas Veit , Serge Belongie , Victor Gomes , Abhinav Gupta , Chen Sun , Gal Chechik , David Cai , Zheyun Feng , Dhyanesh Narayanan , and Kevin Murphy . 2017. OpenImages: A public dataset for large-scale multi-label and multi-class image classification. Dataset available from https:\/\/github.com\/openimages ( 2017 ). Ivan Krasin, Tom Duerig, Neil Alldrin, Vittorio Ferrari, Sami Abu-El-Haija, Alina Kuznetsova, Hassan Rom, Jasper Uijlings, Stefan Popov, Andreas Veit, Serge Belongie, Victor Gomes, Abhinav Gupta, Chen Sun, Gal Chechik, David Cai, Zheyun Feng, Dhyanesh Narayanan, and Kevin Murphy. 2017. OpenImages: A public dataset for large-scale multi-label and multi-class image classification. Dataset available from https:\/\/github.com\/openimages (2017)."},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"crossref","unstructured":"Liunian Harold Li Mark Yatskar Da Yin Cho-Jui Hsieh and Kai-Wei Chang. 2020. What Does BERT with Vision Look At?. In ACL (short).  Liunian Harold Li Mark Yatskar Da Yin Cho-Jui Hsieh and Kai-Wei Chang. 2020. What Does BERT with Vision Look At?. In ACL (short).","DOI":"10.18653\/v1\/2020.acl-main.469"},{"key":"e_1_3_2_2_12_1","volume-title":"ECCV","author":"Chunyuan Li Pengchuan Zhang Xi Yin","year":"2020","unstructured":"Xi Yin Chunyuan Li Pengchuan Zhang Xiaowei Hu Lei Zhang Lijuan Wang et al Li, Xiujun. 2020. Oscar: Object-semantics aligned pre-training for vision-language tasks . In ECCV 2020 . Xi Yin Chunyuan Li Pengchuan Zhang Xiaowei Hu Lei Zhang Lijuan Wang et al Li, Xiujun. 2020. Oscar: Object-semantics aligned pre-training for vision-language tasks. In ECCV 2020."},{"key":"e_1_3_2_2_13_1","volume-title":"ECCV","author":"Serge Belongie James Hays Michael Maire","year":"2014","unstructured":"Michael Maire Serge Belongie James Hays Pietro Perona Deva Ramanan Piotr Doll\u00e1r Lin, Tsung-Yi and C. Lawrence Zitnick . 2014. Microsoft coco: Common objects in context . In ECCV 2014 . Michael Maire Serge Belongie James Hays Pietro Perona Deva Ramanan Piotr Doll\u00e1r Lin, Tsung-Yi and C. Lawrence Zitnick. 2014. Microsoft coco: Common objects in context. In ECCV 2014."},{"key":"e_1_3_2_2_14_1","volume-title":"EMNLP","author":"Mihalcea Rada","year":"2004","unstructured":"Rada Mihalcea and Paul Tarau . [n.d.]. TextRank : Bringing Order into Text . In EMNLP 2004 . Rada Mihalcea and Paul Tarau. [n.d.]. TextRank: Bringing Order into Text. In EMNLP 2004."},{"key":"e_1_3_2_2_15_1","unstructured":"Tomas Mikolov Ilya Sutskever Kai Chen Greg Corrado and Jeffrey Dean. 2013. Distributed Representations of Words and Phrases and Their Compositionality (NIPS'13).  Tomas Mikolov Ilya Sutskever Kai Chen Greg Corrado and Jeffrey Dean. 2013. Distributed Representations of Words and Phrases and Their Compositionality (NIPS'13)."},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3298689.3347022"},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3412720"},{"key":"e_1_3_2_2_18_1","volume-title":"Siyuan and Alan Yuille","author":"Chen Qiao Liang-Chieh","year":"2020","unstructured":"Liang-Chieh Chen Qiao , Siyuan and Alan Yuille . 2020 . Detectors : Detecting objects with recursive feature pyramid and switchable atrous convolution. In arXiv preprint arXiv:2006.02334. Liang-Chieh Chen Qiao, Siyuan and Alan Yuille. 2020. Detectors: Detecting objects with recursive feature pyramid and switchable atrous convolution. In arXiv preprint arXiv:2006.02334."},{"key":"e_1_3_2_2_19_1","volume-title":"Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks (EMNLP","author":"Reimers Nils","year":"2020","unstructured":"Nils Reimers and Iryna Gurevych . [n.d.]. Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks (EMNLP 2020 ). Nils Reimers and Iryna Gurevych. [n.d.]. Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks (EMNLP 2020)."},{"key":"e_1_3_2_2_20_1","volume-title":"NIPS","author":"Ren Shaoqing","year":"2015","unstructured":"Shaoqing Ren , Kaiming He , Ross Girshick , and Jian Sun . 2015 . Faster r-cnn: Towards real-time object detection with region proposal networks . In NIPS 2015. Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun. 2015. Faster r-cnn: Towards real-time object detection with region proposal networks. In NIPS 2015."},{"key":"e_1_3_2_2_21_1","volume-title":"Piyush and Radu Soricut","author":"Sebastian Goodman Sharma Nan Ding","year":"2018","unstructured":"Nan Ding Sebastian Goodman Sharma , Piyush and Radu Soricut . 2018 . Conceptual captions: A cleaned, hypernymed, image alt-text dataset for automatic image captioning. In ACL. Nan Ding Sebastian Goodman Sharma, Piyush and Radu Soricut. 2018. Conceptual captions: A cleaned, hypernymed, image alt-text dataset for automatic image captioning. In ACL."},{"key":"e_1_3_2_2_22_1","first-page":"868","article-title":"ADVISE","volume":"2018","author":"Ye Keren","year":"2018","unstructured":"Keren Ye and Adriana Kovashka . 2018 . ADVISE : Symbolism and External Knowledge for Decoding Advertisements. In ECCV 2018. 868 -- 886 . Keren Ye and Adriana Kovashka. 2018. ADVISE: Symbolism and External Knowledge for Decoding Advertisements. In ECCV 2018. 868--886.","journal-title":"Symbolism and External Knowledge for Decoding Advertisements. In ECCV"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330753"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380001"}],"event":{"name":"KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"],"location":"Virtual Event Singapore","acronym":"KDD '21"},"container-title":["Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3447548.3467126","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3447548.3467126","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:18:27Z","timestamp":1750191507000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3447548.3467126"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8,14]]},"references-count":24,"alternative-id":["10.1145\/3447548.3467126","10.1145\/3447548"],"URL":"https:\/\/doi.org\/10.1145\/3447548.3467126","relation":{},"subject":[],"published":{"date-parts":[[2021,8,14]]},"assertion":[{"value":"2021-08-14","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}