知識庫實體之敘述生成

Description Generation for Knowledge Base Entities

葉仕弘(Shyh-Horng Yeh)

指導教授 ： 陳信希

國立臺灣大學/電機資訊學院/資訊工程學研究所/碩士(2017年)

https://doi.org/10.6342/NTU201704054

摘要

過去有不少研究嘗試以自然語言描述知識庫中的實體能幫助使用者更有效地使用知識庫，然而大部分的方法無法處理未見過的特性組合。我們提出兩個基於序列對序列神經網路模型的改進，並且在自動化評估實驗以及人工標記實驗中證明我們所引進的區域指標網路在以自動化方式建立的語料庫上訓練後，可以對未見過的特性組合產生描述實體的敘述。

關鍵字

自然語言生成 ； 類神經網路 ； 知識庫

並列摘要

Verbalization of knowledge base (KB) triples about an entity allows users to absorb information from KB more easily. The drawback of most of the previous work is that they cannot generalize to unseen frames. We propose two variants of sequence-to-sequence neural networks architectures with pointer network that are able verbalize unseen frames. The results of automatic evaluation and human evaluation both indicate a local pointer network improves Meteor and slot error rates over the baseline model. Different from previous work, we construct the corpus without human annotation. We also find that current relation extraction systems are not yet able to construct high quality corpora.

並列關鍵字

Natural Language Generation ； Neural Networks ； Knowledge Base ； Ontology Verbalization

參考文獻

Androutsopoulos, I., Lampouras, G., & Galanis, D. (2013). Generating natural language descriptions from OWL ontologies: the NaturalOWL system. Journal of Artificial Intelligence Research, 48, 671-715.

Chisholm, A., Radford, W., & Hachey, B. (2017). Learning to generate one-sentence biographies from Wikidata. arXiv preprint arXiv:1702.06235.

Ell, B., & Harth, A. (2014). A language-independent method for the extraction of RDF verbalization templates. In INLG (pp. 26-34).

Gu, J., Lu, Z., Li, H., & Li, V. O. (2016). Incorporating copying mechanism in sequence-to-sequence learning. arXiv preprint arXiv:1603.06393.

Hochreiter, S., & Schmidhuber, J. (1997). Long short-term memory. Neural computation, 9(8), 1735-1780.