{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:24:12Z","timestamp":1750220652235,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":18,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,3,22]],"date-time":"2021-03-22T00:00:00Z","timestamp":1616371200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,3,22]]},"DOI":"10.1145\/3412841.3441957","type":"proceedings-article","created":{"date-parts":[[2021,4,23]],"date-time":"2021-04-23T05:09:42Z","timestamp":1619154582000},"page":"821-827","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["Explaining a neural attention model for aspect-based sentiment classification using diagnostic classification"],"prefix":"10.1145","author":[{"given":"Lisa","family":"Meijer","sequence":"first","affiliation":[{"name":"Delft University of Technology, Delft, the Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Flavius","family":"Frasincar","sequence":"additional","affiliation":[{"name":"Erasmus University Rotterdam, Rotterdam, the Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maria Mihaela","family":"Tru\u015fc\u0103","sequence":"additional","affiliation":[{"name":"Bucharest Univ. of Economic Studies, Bucharest, Romania"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2021,4,22]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Fine-grained Analysis of Sentence Embeddings Using Auxiliary Prediction Tasks. In 5th International Conference on Learning Representations (ICLR","author":"Adi Yossi","year":"2017","unstructured":"Yossi Adi, Einat Kermany, Yonatan Belinkov, Ofer Lavi, and Yoav Goldberg. 2017. Fine-grained Analysis of Sentence Embeddings Using Auxiliary Prediction Tasks. In 5th International Conference on Learning Representations (ICLR 2017)."},{"key":"e_1_3_2_1_2_1","volume-title":"55th Annual Meeting of the Association for Computational Linguistics (ACL","author":"Belinkov Yonatan","year":"2017","unstructured":"Yonatan Belinkov, Nadir Durrani, Fahim Dalvi, Hassan Sajjad, and James R. Glass. 2017. What do Neural Machine Translation Models Learn about Morphology?. In 55th Annual Meeting of the Association for Computational Linguistics (ACL 2017). ACL, 861--872."},{"volume-title":"Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit","author":"Bird Steven","key":"e_1_3_2_1_3_1","unstructured":"Steven Bird, Ewan Klein, and Edward Loper. 2009. Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit. O'Reilly Media."},{"key":"e_1_3_2_1_4_1","volume-title":"9th International Conference on Neural Information Processing Systems 9 (NIPS","author":"Hochreiter Sepp","year":"1996","unstructured":"Sepp Hochreiter and J\u00fcrgen Schmidhuber. 1996. LSTM can Solve Hard Long Time Lag Problems. In 9th International Conference on Neural Information Processing Systems 9 (NIPS 1996). MIT Press, 473--479."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.5555\/3241691.3241713"},{"key":"e_1_3_2_1_6_1","volume-title":"Do Language Models Understand Anything? On the Ability of LSTMs to Understand Negative Polarity Items. arXiv preprint arXiv:1808.10627","author":"Jumelet Jaap","year":"2018","unstructured":"Jaap Jumelet and Dieuwke Hupkes. 2018. Do Language Models Understand Anything? On the Ability of LSTMs to Understand Negative Polarity Items. arXiv preprint arXiv:1808.10627 (2018)."},{"volume-title":"Sentiment analysis: Mining opinions, sentiments, and emotions","author":"Liu Bing","key":"e_1_3_2_1_7_1","unstructured":"Bing Liu. 2015. Sentiment analysis: Mining opinions, sentiments, and emotions. Cambridge University Press."},{"key":"e_1_3_2_1_8_1","volume-title":"Content Attention Model for Aspect Based Sentiment Analysis. In 2018 World Wide Web Conference on World Wide Web (WWW","author":"Liu Qiao","year":"2018","unstructured":"Qiao Liu, Haibin Zhang, Yifu Zeng, Ziqi Huang, and Zufeng Wu. 2018. Content Attention Model for Aspect Based Sentiment Analysis. In 2018 World Wide Web Conference on World Wide Web (WWW 2018). ACM, 1023--1032."},{"key":"e_1_3_2_1_9_1","volume-title":"The Stanford CoreNLP Natural Language Processing Toolkit. In 52nd Annual Meeting of the Association for Computational Linguistics (ACL 2014)","author":"Manning Christopher D.","year":"2014","unstructured":"Christopher D. Manning, Mihai Surdeanu, John Bauer, Jenny Finkel, Prismatic Inc, Steven J. Bethard, and David Mcclosky. 2014. The Stanford CoreNLP Natural Language Processing Toolkit. In 52nd Annual Meeting of the Association for Computational Linguistics (ACL 2014): System Demonstrations. ACL, 55--60."},{"key":"e_1_3_2_1_10_1","volume-title":"GloVe: Global Vectors for Word Representation. In 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP","author":"Pennington Jeffrey","year":"2014","unstructured":"Jeffrey Pennington, Richard Socher, and Christopher D. Manning. 2014. GloVe: Global Vectors for Word Representation. In 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP 2014). ACL, 1532--1543."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S16-1002"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2015.2485209"},{"key":"e_1_3_2_1_13_1","volume-title":"Ontology-Driven Sentiment Analysis of Product and Service Aspects. In 15th Extended Semantic Web Conference (ESWC 2018)","volume":"10843","author":"Schouten Kim","year":"2018","unstructured":"Kim Schouten and Flavius Frasincar. 2018. Ontology-Driven Sentiment Analysis of Product and Service Aspects. In 15th Extended Semantic Web Conference (ESWC 2018) (LNCS), Vol. 10843. Springer, 608--623."},{"key":"e_1_3_2_1_14_1","volume-title":"Lstmvis: A Tool for Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks","author":"Strobelt Hendrik","year":"2018","unstructured":"Hendrik Strobelt, Sebastian Gehrmann, Hanspeter Pfiste, and Alexander Rush. 2018. Lstmvis: A Tool for Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks. IEEE Transactions on Visualization and Computer Graphic 24(1) (2018), 667--676."},{"key":"e_1_3_2_1_15_1","volume-title":"Effective LSTMs for Target-Dependent Sentiment Classification. In 26th International Conference on Computational Linguistics (COLING","author":"Tang Duyu","year":"2016","unstructured":"Duyu Tang, Bing Qin, Xiaocheng Feng, and Ting Liu. 2016. Effective LSTMs for Target-Dependent Sentiment Classification. In 26th International Conference on Computational Linguistics (COLING 2016). ACL, 3298--3307."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-57959-7"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-21348-0_24"},{"key":"e_1_3_2_1_18_1","volume-title":"Left-Center-Right Separated Neural Network for Aspect-based Sentiment Analysis with Rotatory Attention. arXiv preprint arXiv:1802.00892","author":"Zheng Shiliang","year":"2018","unstructured":"Shiliang Zheng and Rui Xia. 2018. Left-Center-Right Separated Neural Network for Aspect-based Sentiment Analysis with Rotatory Attention. arXiv preprint arXiv:1802.00892 (2018)."}],"event":{"name":"SAC '21: The 36th ACM\/SIGAPP Symposium on Applied Computing","sponsor":["SIGAPP ACM Special Interest Group on Applied Computing"],"location":"Virtual Event Republic of Korea","acronym":"SAC '21"},"container-title":["Proceedings of the 36th Annual ACM Symposium on Applied Computing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3412841.3441957","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3412841.3441957","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:02:24Z","timestamp":1750197744000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3412841.3441957"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,3,22]]},"references-count":18,"alternative-id":["10.1145\/3412841.3441957","10.1145\/3412841"],"URL":"https:\/\/doi.org\/10.1145\/3412841.3441957","relation":{},"subject":[],"published":{"date-parts":[[2021,3,22]]},"assertion":[{"value":"2021-04-22","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}