Fetching the paper…
Reading the bibliography…
Product attribute value extraction is a pivotal component in Natural Language Processing (NLP) and the contemporary e-commerce industry.
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 1901
Earlier work this paper cites.
Maximum likelihood estimation of observer error-rates using the EM algorithm
Alexander Philip Dawid and Allan M Skene. 1979 · 1979
Earlier work this paper cites.
Ensemble methods in machine learning. In International workshop on multiple classifier systems . Springer, 1–15
Thomas G Dietterich. 2000 · 2000
Earlier work this paper cites.
Text mining for product attribute extraction
Rayid Ghani, Katharina Probst, Yan Liu, Marko Krema, and Andrew Fano. 2006 · 2006
Earlier work this paper cites.
Scalable attribute-value extraction from semi-structured text. In 2009 IEEE international conference on data mining workshops . IEEE, 302–307
Yuk Wah Wong, Dominic Widdows, Tom Lokovic, and Kamal Nigam. 2009 · 2009
Earlier work this paper cites.
A Framework for an Ontology-based E-commerce Product Information Retrieval System
Liyi Zhang, Mingzhu Zhu, and Wei Huang. 2009 · 2009
Earlier work this paper cites.
Bootstrapped named entity recognition for product attribute extraction. In Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing . 1557–1567
Duangmanee Putthividhya and Junling Hu. 2011 · 2011
Earlier work this paper cites.
Faceted product search powered by the semantic web
Damir Vandic, Jan-Willem Van Dam, and Flavius Frasincar. 2012 · 2012
Earlier work this paper cites.
Applied logistic regression . Vol. 398
David W Hosmer Jr, Stanley Lemeshow, and Rodney X Sturdivant. 2013 · 2013
Earlier work this paper cites.
Error rate bounds and iterative weighted majority voting for crowdsourcing
Hongwei Li and Bin Yu. 2014 · 2014
Earlier work this paper cites.
Max-margin majority voting for learning from crowds
Tian Tian and Jun Zhu. 2015 · 2015
Earlier work this paper cites.
Recognizing salient entities in shopping queries. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) . 107–111
Zornitsa Kozareva, Qi Li, Ke Zhai, and Weiwei Guo. 2016 · 2016
Earlier work this paper cites.
Attribute extraction from product titles in ecommerce
Ajinkya More. 2016 · 2016
Earlier work this paper cites.
Opentag: Open attribute value extraction from product profiles. In Proceedings of the 24th ACM SIGKDD international conference on knowledge discovery & data mining . 1049–1058
Guineng Zheng, Subhabrata Mukherjee, Xin Luna Dong, and Feifei Li. 2018 · 2018
Cited alongside, same era.
Accurate product attribute extraction on the field. In 2019 IEEE 35th International Conference on Data Engineering (ICDE) . IEEE, 1862–1873
Martin Rezk, Laura Alonso Alemany, Lasguido Nio, and Ted Zhang. 2019 · 2019
Cited alongside, same era.
Scaling up open tagging from tens to thousands: Comprehension empowered attribute value extraction from product title. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics . 5214–5223
Huimin Xu, Wenting Wang, Xinnian Mao, Xinyu Jiang, and Man Lan. 2019 · 2019
Cited alongside, same era.
Txtract: Taxonomy-aware knowledge extraction for thousands of product categories
Giannis Karamanolakis, Jun Ma, and Xin Luna Dong. 2020 · 2020
Cited alongside, same era.
Jiao Chen, Luyi Ma, Xiaohan Li, Nikhil Thakurdesai, Jianpeng Xu, Jason HD Cho, Kaushiki Nag, Evren Korpeoglu, Sushant Kumar, and Kannan Achan. 2023 · 2023
Later among the works it cites.
Palm: Scaling language modeling with pathways
Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, et al · 2023
Later among the works it cites.
Large language models are zero-shot rankers for recommender systems
Yupeng Hou, Junjie Zhang, Zihan Lin, Hongyu Lu, Ruobing Xie, Julian McAuley, and Wayne Xin Zhao. 2023 · 2023
Later among the works it cites.
LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion
Dongfu Jiang, Xiang Ren, and Bill Yuchen Lin. 2023 · 2023
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Learning to extract attribute value from product via question answering: A multi-task approach. In Proceedings of the 26th ACM SIGKDD international conference on knowledge discovery & data mining . 47–55
Qifan Wang, Li Yang, Bhargav Kanagal, Sumit Sanghai, D Sivakumar, Bin Shu, Zac Yu, and Jon Elsas. 2020 · 2020
Cited alongside, same era.
AdaTag: Multi-attribute value extraction from product profiles with adaptive decoding
Jun Yan, Nasser Zalmout, Yan Liang, Christan Grant, Xiang Ren, and Xin Luna Dong. 2021 · 2021
Cited alongside, same era.
Large language models are few-shot clinical information extractors. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing . 1998–2022
Monica Agrawal, Stefan Hegselmann, Hunter Lang, Yoon Kim, and David Sontag. 2022 · 2022
Cited alongside, same era.
Label augmented and weighted majority voting for crowdsourcing
Ziqi Chen, Liangxiao Jiang, and Chaoqun Li. 2022 · 2022
Cited alongside, same era.
Emergent abilities of large language models
Jason Wei, Yi Tay, Rishi Bommasani, Colin Raffel, Barret Zoph, Sebastian Borgeaud, Dani Yogatama, Maarten Bosma, Denny Zhou, Donald Metzler, et al · 2022
Cited alongside, same era.
MAVE: A product dataset for multi-source attribute value extraction. In Proceedings of the fifteenth ACM international conference on web search and data mining . 1256–1265
Li Yang, Qifan Wang, Zac Yu, Anand Kulkarni, Sumit Sanghai, Bin Shu, Jon Elsas, and Bhargav Kanagal. 2022 · 2022
Cited alongside, same era.
Oa-mine: open-world attribute mining for e-commerce products with weak supervision. In Proceedings of the ACM Web Conference 2022 . 3153–3161
Xinyang Zhang, Chenwei Zhang, Xian Li, Xin Luna Dong, Jingbo Shang, Christos Faloutsos, and Jiawei Han. 2022 · 2022
Cited alongside, same era.
Generative Models for Product Attribute Extraction. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track . 575–585
Ansel Blume, Nasser Zalmout, Heng Ji, and Xian Li. 2023 · 2023
Cited alongside, same era.
LLM-TAKE: Theme-Aware Keyword Extraction Using Large Language Models. In 2023 IEEE International Conference on Big Data (BigData) . IEEE, 4318–4324
Reza Yousefi Maragheh, Chenhao Fang, Charan Chand Irugu, Parth Parikh, Jason Cho, Jianpeng Xu, Saranyan Sukumar, Malay Patel, Evren Korpeoglu, Sushant Kumar, et al · 2023
Later among the works it cites.
GENEVA: Benchmarking Generalizability for Event Argument Extraction with Hundreds of Event Types and Argument Roles. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) . 3664–3686
Tanmay Parekh, I-Hung Hsu, Kuan-Hao Huang, Kai-Wei Chang, and Nanyun Peng. 2023 · 2023
Later among the works it cites.
Llama: Open and efficient foundation language models
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, et al · 2023
Later among the works it cites.
Code4struct: Code generation for few-shot event structure prediction. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) . 3640–3663
Xingyao Wang, Sha Li, and Heng Ji. 2023 · 2023
Later among the works it cites.
Mixpave: Mix-prompt tuning for few-shot product attribute value extraction. In Findings of the Association for Computational Linguistics: ACL 2023 . 9978–9991
Li Yang, Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Yu Chen, Madian Khabsa, Sinong Wang, Zenglin Xu, and Dongfang Liu. 2023 · 2023
Later among the works it cites.
Knowledge fusion of large language models
Fanqi Wan, Xinting Huang, Deng Cai, Xiaojun Quan, Wei Bi, and Shuming Shi. 2024 · 2024
Closest in time.
Henry Peng Zou, Vinay Samuel, Yue Zhou, Weizhi Zhang, Liancheng Fang, Zihe Song, Philip S. Yu, and Cornelia Caragea. 2024a · 2024
Closest in time.
EIVEN: Efficient Implicit Attribute Value Extraction using Multimodal LLM. In Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track
Henry Peng Zou, Gavin Heqing Yu, Ziwei Fan, Dan Bu, Han Liu, Peng Dai, Dongmei Jia, and Cornelia Caragea. 2024b · 2024
Closest in time.