Recurrent One-Hop Predictions for Reasoning over Knowledge Graphs

Yin, Wenpeng; Yaghoobzadeh, Yadollah und Schütze, Hinrich (August 2018): Recurrent One-Hop Predictions for Reasoning over Knowledge Graphs. The 27th International Conference on Computational Linguistics; COLING2018, Santa Fe, New Mexico, USA, 20. - 26. August 2018. Bender, Emily M.; Derczynski, Leon und Isabelle, Pierre (Hrsg.): In: Proceedings of the 27th International Conference on Computational Linguistics, Stroudsburg, PA: Association for Computational Linguistics. S. 2369-2378

Abstract

Large scale knowledge graphs (KGs) such as Freebase are generally incomplete. Reasoning over multi-hop (mh) KG paths is thus an important capability that is needed for question answering or other NLP tasks that require knowledge about the world. mh-KG reasoning includes diverse scenarios, e.g., given a head entity and a relation path, predict the tail entity; or given two enti- ties connected by some relation paths, predict the unknown relation between them. We present ROPs, recurrent one-hop predictors, that predict entities at each step of mh-KB paths by using recurrent neural networks and vector representations of entities and relations, with two benefits: (i) modeling mh-paths of arbitrary lengths while updating the entity and relation representations by the training signal at each step; (ii) handling different types of mh-KG reasoning in a unified framework. Our models show state-of-the-art for two important multi-hop KG reasoning tasks: Knowledge Base Completion and Path Query Answering

• Dokumententyp: Konferenzbeitrag (Paper)
• EU Funded Grant Agreement Number: 740516
• EU-Projekte: Horizon 2020 > ERC Grants > ERC Advanced Grant > ERC Grant 740516: NonSequeToR - Non-sequence models for tokenization replacement
• Fakultätsübergreifende Einrichtungen: Centrum für Informations- und Sprachverarbeitung (CIS)
• Themengebiete: 000 Informatik, Informationswissenschaft, allgemeine Werke > 000 Informatik, Wissen, Systeme ; 000 Informatik, Informationswissenschaft, allgemeine Werke > 004 Informatik ; 400 Sprache > 400 Sprache ; 400 Sprache > 410 Linguistik
• Ort: Stroudsburg, PA
• Bemerkung: ISBN 978-1-948087-64-3
• Sprache: Englisch