{"type":"ScholarlyArticle","title":"Point at the Triple: Generation of Text Summaries from Knowledge Base Triples (Extended Abstract)","authors":[{"name":"Pavlos Vougiouklis","slug":"pavlos-vougiouklis","given":"Pavlos","family":"Vougiouklis","affiliation":"Huawei Technologies , Edinburgh , United Kingdom; University of Southampton ."},{"name":"Eddy Maddalena","slug":"eddy-maddalena","given":"Eddy","family":"Maddalena","affiliation":""},{"name":"Jonathon Hare","slug":"jonathon-hare","given":"Jonathon","family":"Hare","affiliation":"University of Southampton , Southampton , United Kingdom"},{"name":"Elena Simperl","slug":"elena-simperl","given":"Elena","family":"Simperl","affiliation":"King's College London , London , United Kingdom"}],"abstract":"We investigate the problem of generating natural language summaries from knowledge base triples. Our approach is based on a pointer-generator network, which, in addition to generating regular words from a fixed target vocabulary, is able to verbalise triples in several ways. We undertake an automatic and a human evaluation on single and open-domain summaries generation tasks. Both show that our approach significantly outperforms other data-driven baselines.","doi":"10.24963/ijcai.2020/711","url":"https://ijcai.org/proceedings/2020/711","pdf":"https://ijcai.org/proceedings/2020/0711.pdf","markdown":"https://ijcai.org/proceedings/2020/711.md","bibtex":"https://ijcai.org/proceedings/2020/bibtex/711","volume":{"slug":"2020","title":"Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2020","url":"https://ijcai.org/proceedings/2020/","year":2020,"location":"Yokohama","dates":"January 2021 (postponed from 11-17 July 2020)","editors":"Christian Bessiere","isbn":"978-0-9992411-6-5","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2020"},"section":"Journal track","track":"Journal track","number":711,"pages":{"first":5080,"last":5084},"keywords":["Natural Language Processing: Natural Language Generation","Machine Learning: Deep Generative Models","Machine Learning: Knowledge-based Learning"],"videos":[{"label":"Video","url":"https://videos.ijcai20.org/25525/file_25525.m3u8","length_sec":311,"provider":"hls"}],"references":[{"position":1,"raw":"[Bahdanau et al., 2014] Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. Neural machine transla- tion by jointly learning to align and translate. CoRR, abs/1409.0473, 2014.","title":"Neural machine translation by jointly learning to align and translate","authors":"Dzmitry Bahdanau, Kyunghyun Cho, Yoshua Bengio","year":"2014","venue":null,"doi":null,"url":null,"internal_url":null},{"position":2,"raw":"[Bouayad-Agha et al., 2012] Nadjet Bouayad-Agha, Gerard Casamayor, Simon Mille, and Leo Wanner. Perspective- oriented generation of football match summaries: Old tasks, new challenges. ACM Trans. Speech Lang. Process., 9(2):3:1-3:31, August 2012.","title":"Perspectiveoriented generation of football match summaries: Old tasks, new challenges","authors":"Bouayad-Agha","year":"2012","venue":"ACM Trans. Speech Lang. Process","doi":null,"url":null,"internal_url":null},{"position":3,"raw":"[Bouayad-Agha et al., 2014] Nadjet Bouayad-Agha, Gerard Casamayor, and Leo Wanner. Natural language genera- tion in the context of the semantic web. Semantic Web, 5(6):493-513, 2014.","title":"Natural language generation in the context of the semantic web","authors":"Bouayad-Agha","year":"2014","venue":"Semantic Web","doi":null,"url":null,"internal_url":null},{"position":4,"raw":"[Chisholm et al., 2017] Andrew Chisholm, Will Radford, and Ben Hachey. Learning to generate one-sentence bi- ographies from Wikidata. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 633-642, Valencia, Spain, April 2017. Association for Computational Linguistics.","title":"Learning to generate one-sentence biographies from Wikidata","authors":"Andrew Chisholm, Will Radford, Ben Hachey","year":"2017","venue":"Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics","doi":null,"url":null,"internal_url":null},{"position":5,"raw":"[Cho et al., 2014] Kyunghyun Cho, Bart van Merrienboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. Learning phrase representations using RNN encoder-decoder for statisti- cal machine translation. In Proceedings of the 2014 Con- ference on Empirical Methods in Natural Language Pro- cessing (EMNLP), pages 1724-1734, Doha, Qatar, Octo- ber 2014. Association for Computational Linguistics.","title":"Learning phrase representations using RNN encoder-decoder for statistical machine translation","authors":"Cho","year":"2014","venue":"Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)","doi":null,"url":null,"internal_url":null},{"position":6,"raw":"[Dong and Lapata, 2016] Li Dong and Mirella Lapata. Lan- guage to logical form with neural attention. In Proceedings of the 54th Annual Meeting of the Association for Compu- tational Linguistics (Volume 1: Long Papers), pages 33- 43, Berlin, Germany, August 2016. Association for Com- putational Linguistics.","title":"Language to logical form with neural attention","authors":"Li Dong, Mirella Lapata","year":"2016","venue":"Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics","doi":null,"url":null,"internal_url":null},{"position":7,"raw":"[Gu et al., 2016] Jiatao Gu, Zhengdong Lu, Hang Li, and Victor O.K. Li. Incorporating copying mechanism in sequence-to-sequence learning. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1631-1640, Berlin, Germany, August 2016. Association for Computa- tional Linguistics.","title":"Incorporating copying mechanism in sequence-to-sequence learning","authors":"Jiatao Gu, Zhengdong Lu, Hang Li, O K Victor, Li","year":"2016","venue":"Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics","doi":null,"url":null,"internal_url":null},{"position":8,"raw":"[Lebret et al., 2016] Rémi Lebret, David Grangier, and Michael Auli. Neural text generation from structured data with application to the biography domain. In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, pages 1203-1213. Association for Computational Linguistics, 2016.","title":"Neural text generation from structured data with application to the biography domain","authors":"Lebret","year":"2016","venue":"Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing","doi":null,"url":null,"internal_url":null},{"position":9,"raw":"[Liu et al., 2018] Tianyu Liu, Kexiang Wang, Lei Sha, Baobao Chang, and Zhifang Sui. Table-to-text generation by structure-aware seq2seq learning, 2018.","title":"Table-to-text generation by structure-aware seq2seq learning","authors":"Tianyu Liu, Kexiang Wang, Lei Sha, Baobao Chang, Zhifang Sui","year":"2018","venue":null,"doi":null,"url":null,"internal_url":null},{"position":10,"raw":"[Reiter and Dale, 2000] Ehud Reiter and Robert Dale. Build- ing Natural Language Generation Systems. Cambridge University Press, New York, NY, USA, 2000.","title":"Building Natural Language Generation Systems","authors":"Dale ; Reiter, Ehud Reiter, Robert Dale","year":"2000","venue":null,"doi":null,"url":null,"internal_url":null},{"position":11,"raw":"[Reiter, 2010] Ehud Reiter. Natural Language Generation, chapter 20, pages 574-598. Wiley-Blackwell, 2010.","title":"Natural Language Generation","authors":"Reiter","year":"2010","venue":"Ehud Reiter","doi":null,"url":null,"internal_url":null},{"position":12,"raw":"[Rush et al., 2015] Alexander M. Rush, Sumit Chopra, and Jason Weston. A neural attention model for abstrac- tive sentence summarization. In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, pages 379-389, Lisbon, Portugal, September 2015. Association for Computational Linguistics.","title":"A neural attention model for abstractive sentence summarization","authors":"Alexander M Rush, Sumit Chopra, Jason Weston","year":"2015","venue":"Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing","doi":null,"url":null,"internal_url":null},{"position":13,"raw":"[See et al., 2017] Abigail See, Peter J. Liu, and Christo- pher D. Manning. Get to the point: Summarization with pointer-generator networks. In Proceedings of the 55th Annual Meeting of the Association for Computational Lin- guistics (Volume 1: Long Papers), pages 1073-1083. As- sociation for Computational Linguistics, 2017.","title":"Get to the point: Summarization with pointer-generator networks","authors":"Abigail See, Peter J Liu, Christopher D Manning","year":"2017","venue":"Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics","doi":null,"url":null,"internal_url":null},{"position":14,"raw":"[Sutskever et al., 2014] Ilya Sutskever, Oriol Vinyals, and Quoc V Le. Sequence to sequence learning with neural networks. In Z. Ghahramani, M. Welling, C. Cortes, N. D. Lawrence, and K. Q. Weinberger, editors, Advances in Neural Information Processing Systems 27, pages 3104- 3112.","title":"Quoc V Le. Sequence to sequence learning with neural networks","authors":"Sutskever","year":"2014","venue":"Advances in Neural Information Processing Systems","doi":null,"url":null,"internal_url":null},{"position":15,"raw":"Curran Associates, Inc., 2014.","title":null,"authors":"Curran Associates, Inc","year":"2014","venue":null,"doi":null,"url":null,"internal_url":null},{"position":16,"raw":"[Vougiouklis et al., 2018] Pavlos Vougiouklis, Hady Elsa- har, Lucie-Aimée Kaffee, Christophe Gravier, Frédérique Laforest, Jonathon Hare, and Elena Simperl. Neural wikipedian: Generating textual summaries from knowl- edge base triples. Journal of Web Semantics, 2018.","title":"Neural wikipedian: Generating textual summaries from knowledge base triples","authors":"Pavlos Vougiouklis, Hady Elsahar, Lucie-Aimée Kaffee, Christophe Gravier, Frédérique Laforest, Jonathon Hare, Elena Simperl","year":"2018","venue":"Journal of Web Semantics","doi":null,"url":null,"internal_url":null},{"position":17,"raw":"[Yeh et al., 2018] S. Yeh, H. Huang, and H. Chen. Precise description generation for knowledge base entities with local pointer network. In 2018 IEEE/WIC/ACM Interna- tional Conference on Web Intelligence (WI), pages 214- 221, Dec 2018.","title":"Precise description generation for knowledge base entities with local pointer network","authors":"S Yeh, H Huang, H Chen","year":"2018","venue":"IEEE/WIC/ACM International Conference on Web Intelligence","doi":null,"url":null,"internal_url":null}],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}