Reproducibility, Replicability and Beyond: Assessing Production Readiness of Aspect Based Sentiment Analysis in the Wild
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-72240-1_7
Reference33 articles.
1. Breck, E., Cai, S., Nielsen, E., Salib, M., Sculley, D.: The ML test score: a rubric for ml production readiness and technical debt reduction. In: 2017 IEEE International Conference on Big Data (Big Data), pp. 1123–1132 (2017). https://doi.org/10.1109/BigData.2017.8258038
2. Chen, P., Sun, Z., Bing, L., Yang, W.: Recurrent attention network on memory for aspect sentiment analysis. In: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, Copenhagen, Denmark, pp. 452–461. Association for Computational Linguistics, September 2017. https://doi.org/10.18653/v1/D17-1047
3. Cheng, J., Zhao, S., Zhang, J., King, I., Zhang, X., Wang, H.: Aspect-level sentiment classification with heat (hierarchical attention) network. In: Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, pp. 97–106. Association for Computing Machinery, New York (2017). https://doi.org/10.1145/3132847.3133037
4. Dacrema, M.F., Cremonesi, P., Jannach, D.: Are we really making much progress? A worrying analysis of recent neural recommendation approaches. In: Proceedings of the 13th ACM Conference on Recommender Systems, RecSys 2019, pp. 101–109. Association for Computing Machinery, New York (2019). https://doi.org/10.1145/3298689.3347058
5. Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), Minneapolis, Minnesota, pp. 4171–4186. Association for Computational Linguistics, June 2019. https://doi.org/10.18653/v1/N19-1423
Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Comparative Analysis of Deep Natural Networks and Large Language Models for Aspect-Based Sentiment Analysis;IEEE Access;2024
2. Optimized aspect and self-attention aware LSTM for target-based semantic analysis (OAS-LSTM-TSA);Data Technologies and Applications;2023-12-29
3. Dual-Channel Edge-Featured Graph Attention Networks for Aspect-Based Sentiment Analysis;Electronics;2023-01-26
4. On the Current State of Reproducibility and Reporting of Uncertainty for Aspect-Based Sentiment Analysis;Machine Learning and Knowledge Discovery in Databases;2023
5. Aspect-based Sentiment Analysis with Dependency Relation Graph Convolutional Network;2022 International Conference on Asian Language Processing (IALP);2022-10-27
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3