TransMORE: 基於翻譯的多語言開放式關係抽取

TransMORE: Translation Based Multilingual Open Relation Extraction

蔣盛文(Sheng-Wen Chiang)

指導教授 ： 許永真

國立臺灣大學/電機資訊學院/資訊工程學研究所/碩士(2018年)

https://doi.org/10.6342/NTU201800338

摘要

開放式關係抽取 (Open Relation Extraction Systems, ORE) 系統從句 子中找出關係對。與傳統關係抽取不同，「開放式」意指不事先制定 (pre-define) 欲抽取的關係種類。
現存的所有英文 ORE 系統的設計都與英文文法或詞性 (part-of- speech) 高度相關，因此不容易直接應用於別種語言。而對於目前非英 文 ORE 系統，大部分基於英文 ORE 系統提出的概念，適度的修改以 合乎其他語言，此方式往往需要重新訓練資料或甚至重新設計系統。
有鑑於此，本論文提出一套基於翻譯器 (translator) 的多語言 (multilingual) ORE 系統，TransMORE，能應用於任何能翻譯至英文的自 然語言。由於 TransMORE 使用了第三方的翻譯器與英文 ORE 系統， 隨著翻譯器或英文 ORE 系統的進步，TransMORE 能同時與之進步， 毋需重新設計或再訓練任何資料。
在本研究中，除了與先前作品比較外，我們也實驗了使用不同英 文 ORE 系統對產出的影響，同時展現 TransMORE 易於抽換第三方 ORE 系統的特性。

關鍵字

開放式關係抽取 ； 翻譯 ； 多語言

並列摘要

Open domain relation extraction (ORE) systems identify relation and arguments phrases in a sentence, without any pre-defined underlying schema.
Most English ORE systems, including current state-of-the-art system, can only extract relations from English because their methods highly rely on lingustic grammar and/or part-of-speech tagging. For non-English ORE systems, most of them use ideas from English ORE systems, and redesign the language-dependent rules to fit their target language.
This thesis presents a new multilingual ORE system, TransMORE, which uses a novel method for extracting relations from multilingual corpus. TransMORE bases on a third-party translator and English ORE system. With better performance translator and/or English ORE system, TransMORE can have better result as well.
In this work, besides compare with previous work, we also experiment on TransMORE within different English ORE systems.

並列關鍵字

Open Relation Extraction ； Translation ； Multilingual

參考文獻

[6] M. Faruqui and S. Kumar. Multilingual open relation extraction using cross-lingual projection. In HLT-NAACL, pages 1351–1356. The Association for Computational Linguistics, 2015.

[1] M. Banko, M. J. Cafarella, S. Soderland, M. Broadhead, and O. Etzioni. Open information extraction from the web. IJCAI, pages 2670–2676, 2007.

[2] M.BankoandO.Etzioni.The tradeoffs between open and traditional relation extraction. In Proceedings of ACL-08: HLT, pages 28–36. Association for Computational Linguistics, June 2008.

[3] L. Del Corro and R. Gemulla. Clausie: Clause-based open information extraction. In Proceedings of the 22Nd International Conference on World Wide Web, WWW ’13, pages 355–366. ACM, 2013.

[4] O. Etzioni, A. Fader, J. Christensen, S. Soderland, and M. Mausam. Open information extraction: The second generation. In Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI’11, pages 3–10. AAAI Press, 2011.