{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,7]],"date-time":"2024-08-07T07:38:41Z","timestamp":1723016321795},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,7]]},"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.24963\/ijcai.2020\/711","type":"proceedings-article","created":{"date-parts":[[2020,7,8]],"date-time":"2020-07-08T08:12:10Z","timestamp":1594195930000},"page":"5080-5084","source":"Crossref","is-referenced-by-count":2,"title":["Point at the Triple: Generation of Text Summaries from Knowledge Base Triples (Extended Abstract)"],"prefix":"10.24963","author":[{"given":"Pavlos","family":"Vougiouklis","sequence":"first","affiliation":[{"name":"Huawei Technologies"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eddy","family":"Maddalena","sequence":"additional","affiliation":[{"name":"King's College London"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jonathon","family":"Hare","sequence":"additional","affiliation":[{"name":"University of Southampton"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Elena","family":"Simperl","sequence":"additional","affiliation":[{"name":"King's College London"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"10584","event":{"number":"28","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"acronym":"IJCAI-PRICAI-2020","name":"Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}","start":{"date-parts":[[2020,7,11]]},"theme":"Artificial Intelligence","location":"Yokohama, Japan","end":{"date-parts":[[2020,7,17]]}},"container-title":["Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2020,7,8]],"date-time":"2020-07-08T22:16:48Z","timestamp":1594246608000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2020\/711"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2020,7]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2020\/711","relation":{},"subject":[],"published":{"date-parts":[[2020,7]]}}}