提交 3a66d42d 编写于 作者: C caoying03

add a missing picture.

上级 f25bcc0e
......@@ -16,7 +16,7 @@ $$\mbox{[小明]}_{\mbox{Agent}}\mbox{[昨天]}_{\mbox{Time}}\mbox{在[公园]}_
我们继续以上面的这句话为例,图1展示了 BIO 表示方法的执行过程,可以看到,根据序列标注的结果可以直接得到语义角色标注的结果,因此,论元识别和论元标注通常作为一个过程同时实现。
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<img src="image/bio_example.png" width = "90%" height = "90%" align=center /><br>
图1. BIO标注方法示例
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......@@ -431,4 +431,4 @@ I1224 18:12:00.164089 1433 TrainerInternal.cpp:181] Pass=0 Batch=901 samples=1
6. Marcus M P, Marcinkiewicz M A, Santorini B. [Building a large annotated corpus of English: The Penn Treebank](http://repository.upenn.edu/cgi/viewcontent.cgi?article=1246&context=cis_reports)[J]. Computational linguistics, 1993, 19(2): 313-330.
7. Palmer M, Gildea D, Kingsbury P. [The proposition bank: An annotated corpus of semantic roles](http://www.mitpressjournals.org/doi/pdfplus/10.1162/0891201053630264)[J]. Computational linguistics, 2005, 31(1): 71-106.
8. Carreras X, Màrquez L. [Introduction to the CoNLL-2005 shared task: Semantic role labeling](http://www.cs.upc.edu/~srlconll/st05/papers/intro.pdf)[C]//Proceedings of the Ninth Conference on Computational Natural Language Learning. Association for Computational Linguistics, 2005: 152-164.
9. Zhou J, Xu W. [End-to-end learning of semantic role labeling using recurrent neural networks](http://www.aclweb.org/anthology/P/P15/P15-1109.pdf)[C]//Proceedings of the Annual Meeting of the Association for Computational Linguistics. 2015.
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9. Zhou J, Xu W. [End-to-end learning of semantic role labeling using recurrent neural networks](http://www.aclweb.org/anthology/P/P15/P15-1109.pdf)[C]//Proceedings of the Annual Meeting of the Association for Computational Linguistics. 2015.
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