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Product descriptions on e-commerce websites often suffer from missing important aspects.
The measurement of observer agreement for categorical data
J Richard Landis and Gary G Koch. 1977 · 1977
Earlier work this paper cites.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
Earlier work this paper cites.
Normalized cuts and image segmentation
Jianbo Shi and Jitendra Malik. 2000 · 2000
Earlier work this paper cites.
Bleu: a Method for Automatic Evaluation of Machine Translation. In Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics . 311–318
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
Earlier work this paper cites.
METEOR: An Automatic Metric for MT Evaluation with Improved Correlation with Human Judgments. In Proceedings of the ACL Workshop on Intrinsic and Extrinsic Evaluation Measures for Machine Translation and/or Summarization . 65–72
Satanjeev Banerjee and Alon Lavie. 2005 · 2005
Earlier work this paper cites.
Free-Marginal Multirater Kappa (multirater K [free]): An Alternative to Fleiss’ Fixed-Marginal Multirater Kappa
Justus J Randolph. 2005 · 2005
Earlier work this paper cites.
Distributed Representations of Words and Phrases and their Compositionality. In Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013, Lake Tahoe, Nevada, United States , Christopher J. C. Burges, Léon Bottou, Zoubin Ghahramani, and Kilian Q. Weinberger (Eds.). 3111–3119
Tomás Mikolov, Ilya Sutskever, Kai Chen, Gregory S. Corrado, and Jeffrey Dean. 2013 · 2013
Earlier work this paper cites.
Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) . 1724–1734
Kyunghyun Cho, Bart van Merriënboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014 · 2014
Earlier work this paper cites.
Convolutional Neural Networks for Sentence Classification. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) . 1746–1751
Yoon Kim. 2014 · 2014
Earlier work this paper cites.
GloVe: Global Vectors for Word Representation. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) . 1532–1543
Jeffrey Pennington, Richard Socher, and Christopher Manning. 2014 · 2014
Earlier work this paper cites.
Towards natural clarification questions in dialogue systems. In AISB symposium on questions, discourse and dialogue , Vol. 20
Svetlana Stoyanchev, Alex Liu, and Julia Hirschberg. 2014 · 2014
Earlier work this paper cites.
Effective Approaches to Attention-based Neural Machine Translation. In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing . 1412–1421
Thang Luong, Hieu Pham, and Christopher D. Manning. 2015 · 2015
Earlier work this paper cites.
Image-Based Recommendations on Styles and Substitutes. In Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, Santiago, Chile, August 9-13, 2015 , Ricardo Baeza-Yates, Mounia Lalmas, Alistair Moffat, and Berthier A. Ribeiro-Neto (Eds.). 43–52
Julian J. McAuley, Christopher Targett, Qinfeng Shi, and Anton van den Hengel. 2015 · 2015
Earlier work this paper cites.
Addressing Complex and Subjective Product-Related Queries with Customer Reviews. In Proceedings of the 25th International Conference on World Wide Web, WWW 2016, Montreal, Canada, April 11 - 15, 2016 , Jacqueline Bourdeau, Jim Hendler, Roger Nkambou, Ian Horrocks, and Ben Y. Zhao (Eds.). 625–635
Julian J. McAuley and Alex Yang. 2016 · 2016
Cited alongside, same era.
SQuAD: 100,000+ Questions for Machine Comprehension of Text. In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing . 2383–2392
Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang. 2016 · 2016
Cited alongside, same era.
Creativity: Generating Diverse Questions Using Variational Autoencoders. In 2017 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, Honolulu, HI, USA, July 21-26, 2017 . 5415–5424
Unnat Jain, Ziyu Zhang, and Alexander G. Schwing. 2017 · 2017
Cited alongside, same era.
Challenges and Innovations in Building a Product Knowledge Graph. In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2018, London, UK, August 19-23, 2018 , Yike Guo and Faisal Farooq (Eds.). 2869
Asking Clarifying Questions in Open-Domain Information-Seeking Conversations. In Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2019, Paris, France, July 21-25, 2019 , Benjamin Piwowarski, Max Chevalier, Éric Gaussier, Yoelle Maarek, Jian-Yun Nie, and Falk Scholer (Eds.). 475–484
Mohammad Aliannejadi, Hamed Zamani, Fabio Crestani, and W. Bruce Croft. 2019 · 2019
Later among the works it cites.
Controlling the Specificity of Clarification Question Generation. In Proceedings of the 2019 Workshop on Widening NLP . 53–56
Yang Trista Cao, Sudha Rao, and Hal Daumé III. 2019 · 2019
Later among the works it cites.
Comparison of Diverse Decoding Methods from Conditional Language Models. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics . 3752–3762
Daphne Ippolito, Reno Kriz, João Sedoc, Maria Kustikova, and Chris Callison-Burch. 2019 · 2019
Later among the works it cites.
Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019
Later among the works it cites.
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Xin Luna Dong. 2018 · 2018
Cited alongside, same era.
Hierarchical Neural Story Generation. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) . 889–898
Angela Fan, Mike Lewis, and Yann Dauphin. 2018 · 2018
Cited alongside, same era.
Aspect-based Question Generation
Wenpeng Hu, Bing Liu, Jinwen Ma, Dongyan Zhao, and Rui Yan. 2018 · 2018
Cited alongside, same era.
Automatic Generation of Text Descriptive Comments for Code Blocks. In Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, (AAAI-18), New Orleans, Louisiana, USA, February 2-7, 2018 . 5229–5236
Yuding Liang and Kenny Qili Zhu. 2018 · 2018
Cited alongside, same era.
Learning to Ask Good Questions: Ranking Clarification Questions using Neural Expected Value of Perfect Information. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) . 2737–2746
Sudha Rao and Hal Daumé III. 2018 · 2018
Cited alongside, same era.
Leveraging Context Information for Natural Question Generation. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers) . 569–574
Linfeng Song, Zhiguo Wang, Wael Hamza, Yue Zhang, and Daniel Gildea. 2018 · 2018
Cited alongside, same era.
Neural Models for Key Phrase Extraction and Question Generation. In Proceedings of the Workshop on Machine Reading for Question Answering . 78–88
Sandeep Subramanian, Tong Wang, Xingdi Yuan, Saizheng Zhang, Adam Trischler, and Yoshua Bengio. 2018 · 2018
Cited alongside, same era.
Answer-focused and Position-aware Neural Question Generation. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing . 3930–3939
Xingwu Sun, Jing Liu, Yajuan Lyu, Wei He, Yanjun Ma, and Shi Wang. 2018 · 2018
Cited alongside, same era.
Diverse Beam Search for Improved Description of Complex Scenes. In Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, (AAAI-18), New Orleans, Louisiana, USA, February 2-7, 2018 , Sheila A. McIlraith and Kilian Q. Weinberger (Eds.). 7371–7379
Ashwin K. Vijayakumar, Michael Cogswell, Ramprasaath R. Selvaraju, Qing Sun, Stefan Lee, David J. Crandall, and Dhruv Batra. 2018 · 2018
Cited alongside, same era.
Answer-based Adversarial Training for Generating Clarification Questions. 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) . 143–155
Sudha Rao and Hal Daumé III. 2019 · 2019
Later among the works it cites.
Mixture Models for Diverse Machine Translation: Tricks of the Trade. In Proceedings of the 36th International Conference on Machine Learning, ICML 2019, 9-15 June 2019, Long Beach, California, USA (Proceedings of Machine Learning Research, Vol. 97) , Kamalika Chaudhuri and Ruslan Salakhutdinov (Eds.). 5719–5728
Tianxiao Shen, Myle Ott, Michael Auli, and Marc’Aurelio Ranzato. 2019 · 2019
Later among the works it cites.
Asking Clarification Questions in Knowledge-Based Question Answering. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) . 1618–1629
Jingjing Xu, Yuechen Wang, Duyu Tang, Nan Duan, Pengcheng Yang, Qi Zeng, Ming Zhou, and Xu Sun. 2019 · 2019
Later among the works it cites.
ConvAI3: Generating Clarifying Questions for Open-Domain Dialogue Systems (ClariQ)
Mohammad Aliannejadi, Julia Kiseleva, Aleksandr Chuklin, Jeff Dalton, and Mikhail Burtsev. 2020 · 2020
Later among the works it cites.
Resolving Intent Ambiguities by Retrieving Discriminative Clarifying Questions
Kaustubh D Dhole. 2020 · 2020
Later among the works it cites.
The Curious Case of Neural Text Degeneration. In 8th International Conference on Learning Representations, ICLR 2020, Addis Ababa, Ethiopia, April 26-30, 2020
Ari Holtzman, Jan Buys, Li Du, Maxwell Forbes, and Yejin Choi. 2020 · 2020
Later among the works it cites.
ClarQ: A large-scale and diverse dataset for Clarification Question Generation. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics . 7296–7301
Vaibhav Kumar and Alan W Black. 2020 · 2020
Later among the works it cites.
AliCoCo: Alibaba E-commerce Cognitive Concept Net. In Proceedings of the 2020 International Conference on Management of Data, SIGMOD Conference 2020, online conference [Portland, OR, USA], June 14-19, 2020 , David Maier, Rachel Pottinger, AnHai Doan, Wang-Chiew Tan, Abdussalam Alawini, and Hung Q. Ngo (Eds.). 313–327
Xusheng Luo, Luxin Liu, Yonghua Yang, Le Bo, Yuanpeng Cao, Jinghang Wu, Qiang Li, Keping Yang, and Kenny Q. Zhu. 2020 · 2020
Later among the works it cites.
Hamed Zamani, Susan T. Dumais, Nick Craswell, Paul N. Bennett, and Gord Lueck. 2020 · 2020
Later among the works it cites.