update @inproceedings format in ref & add examples

README.md

@@ -42,6 +42,7 @@ https://wj.qq.com/s/2116666/6661</font>
 - 修正页边距和页眉页脚设置至同word版本；更正页码字号（5/26）
 - 调整摘要页间距；当摘要页超过一页时确保无页码出现（5/27）
 - 新增外文翻译部分章节编号示例（5/31）
+- 修正参考文献中@inproceedings的标点与中英文切换问题（6/3）
 
 ## 系统需求
 - Windows

buptbachelor.bst

@@ -15,7 +15,7 @@
 %% $LastChangedRevision$
 
 %% 一些设置的缺省值
-% 英文姓名排版格式字符串, 按<last name全称>~<first name全程><, Jr.>格式，如果只保留首字母，将重复字母删去其中一个即可
+% 英文姓名排版格式字符串, 按<last name全称>~<first name首字母><, Jr.>格式
 FUNCTION {default.name.format.string} {"{vv~}{ll}{~ff}{, Jj}"}
 
 % 列出的最多作者数目, 即当作者数目超过下列数字时, 超出部分的作者姓名将略去
@@ -2046,7 +2046,10 @@ FUNCTION {format.address} {
   if$
   address empty$
     { "" }
-    { address }
+    { 
+      new.block
+      address 
+    }
   if$
 }
 
@@ -2061,22 +2064,35 @@ FUNCTION {format.month.year} {
   if$ 
 }
 
+FUNCTION {format.year} {
+  year empty$
+    { "There is month but no year in " cite$ * warning$ }
+    { new.block
+      year " " * 
+    }
+  if$ 
+}
+
 FUNCTION {format.collection.title} {
   booktitle empty$
     { "" }
     { new.block 
-      "In " booktitle *
+      language empty$
+        {"In "}
+        {"见"}
+      if$
+      booktitle *
 %       address empty$
-% 	{ skip$ }
-% 	{ bbl.comma * address * bbl.comma * 
-% 	  month empty$
-% 	    { skip$ }
-% 	    { month * }
-% 	  if$
-% 	  year empty$
-% 	    { skip$ }
-% 	    { " " * year * }
-% 	  if$
+% 	      { skip$ }
+% 	      { bbl.comma * address * bbl.comma * 
+% 	    month empty$
+% 	      { skip$ }
+% 	      { month * }
+% 	    if$
+% 	    year empty$
+% 	      { skip$ }
+% 	      { " " * year * }
+% 	    if$
 % 	}
 %       if$
     }
@@ -2245,14 +2261,15 @@ FUNCTION {inproceedings} {
 
   format.authors "author" output.warn
   format.book.title "title"  output.warn
-  format.collection.editors "editor" output.warn
+%  format.collection.editors "editor" output.warn
   format.collection.title "booktitle" output.warn
   format.address output
-  format.month.year output
+%  format.month.year output
+  format.year output
 %  format.address.publisher.year	output.nonnull % 出版项
   format.pages "pages"          output.warn    %
-  format.url                    output	       % URL
-  format.note                   output	       % 备注项 
+%  format.url                    output	       % URL
+%  format.note                   output	       % 备注项 
 %   format.in.booktitle "booktitle" output.warn
 %       %format.bvolume output
 %       %format.number.series output

main.tex

@@ -74,7 +74,7 @@
 \end{corollary}
 
 \subsection{中英文文献、学位论文引用}
-根据美国皮尤研究中心的2017年9月发布的调查结果\cite{pew_news_use_2017}，67\%的美国民众会从社交媒体上获取新闻信息，其中高使用频率用户占20\%。在国内，中国互联网信息中心《2016年中国互联网新闻市场研究报告》\cite{internet_news_2016}也显示，社交媒体已逐渐成为新闻获取、评论、转发、跳转的重要渠道，在2016年下半年，曾经通过社交媒体获取过新闻资讯的用户比例高达90.7\%，在微信、微博等社交媒体参与新闻评论的比例分别为62.8\%和50.2\%。社交媒体正在成为网络上热门事件生成并发酵的源头，在形成传播影响力后带动传统媒体跟进报道，最终形成更大规模的舆论浪潮。
+根据美国皮尤研究中心的2017年9月发布的调查结果\cite{pew_news_use_2017}，67\%的美国民众会从社交媒体上获取新闻信息，其中高使用频率用户占20\%。在国内，中国互联网信息中心《2016年中国互联网新闻市场研究报告》\cite{internet_news_2016}也显示，社交媒体已逐渐成为新闻获取、评论、转发、跳转的重要渠道，在2016年下半年，曾经通过社交媒体获取过新闻资讯的用户比例高达90.7\%，在微信、微博等社交媒体参与新闻评论的比例分别为62.8\%和50.2\%。社交媒体正在成为网络上热门事件生成并发酵的源头，在形成传播影响力后带动传统媒体跟进报道，最终形成更大规模的舆论浪潮。\cite{Yang2012Automatic}
 
 在国内，新浪微博由于其发布方便、传播迅速、受众广泛且总量大的特点，成为了虚假信息传播的重灾区：《中国新媒体发展报告（2013）》\cite{唐绪军2013中国新媒体发展报告}显示，2012年的100件微博热点舆情案例中，有超过1/3出现谣言；《中国新媒体发展报告（2015）》\cite{唐绪军2015中国新媒体发展报告}对2014年传播较广、比较典型的92条假新闻进行了多维度分析，发现有59\%的虚假新闻首发于新浪微博。
 

ref.bib

@@ -77,118 +77,18 @@
 
 % (3)论文集
 % [序号] 作者.论文题目.见(英文用In).主编.论文集名.出版地.出版年:页码范围.
-@inproceedings{Chen2016Behavior,
-  title={Behavior deviation: An anomaly detection view of rumor preemption},
-  author={Chen, Weiling and Chai, Kiat Yeo and Lau, Chiew Tong and Bu, Sung Lee},
-  booktitle={Information Technology, Electronics and Mobile Communication Conference},
-  pages={1-7},
-  year={2016}
-}
-
-@inproceedings{Yan2017OneHot,
-  title={A distance-based outlier detection method for rumor detection exploiting user behaviorial differences},
-  author={Zhang, Yan and Chen, Weiling and Chai, Kiat Yeo and Lau, Chiew Tong and Bu, Sung Lee},
-  booktitle={International Conference on Data and Software Engineering},
-  pages={1-6},
-  year={2017}
-}
-
-@INPROCEEDINGS{Yan2017Autoencoder, 
-  author={Zhang, Yan and Chen, Weiling and Chai, Kiat Yeo and Lau, Chiew Tong and Bu, Sung Lee}, 
-  booktitle={2017 IEEE Technology Engineering Management Conference (TEMSCON)}, 
-  title={Detecting rumors on Online Social Networks using multi-layer autoencoder}, 
-  year={2017},
-  pages={437-441}
-}
-
-@inproceedings{Castillo2011Information,
-  title={Information credibility on twitter},
-  author={Castillo, Carlos and Mendoza, Marcelo and Poblete, Barbara},
-  booktitle={International Conference on World Wide Web, WWW 2011, Hyderabad, India, March 28 - April},
-  pages={675-684},
-  year={2011}
-}
-
-@inproceedings{Kwon2014Prominent,
-  title={Prominent Features of Rumor Propagation in Online Social Media},
-  author={Kwon, Sejeong and Cha, Meeyoung and Jung, Kyomin and Chen, Wei and Wang, Yajun},
-  booktitle={IEEE International Conference on Data Mining},
-  pages={1103-1108},
-  year={2014}
-}
-
+% 本模板没有实现“主编”部分，因为“见”和“论文集名”分离实在是很诡异的事情，且很多事情我们得到的bibTeX不含主编
+% 中文需要加language={Chinese}字段，才会把"In"换成"见"
 @inproceedings{Yang2012Automatic,
   title={Automatic detection of rumor on Sina Weibo},
   author={Yang, Fan and Liu, Yang and Yu, Xiaohui and Yang, Min},
-  pages={1-7},
-  year={2012}
-}
-
-@inproceedings{Cai2014Rumors,
-  title={Rumors detection in Chinese via crowd responses},
-  author={Cai, Guoyong and Wu, Hao and Lv, Rui},
-  booktitle={IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining},
-  pages={912-917},
-  year={2014}
-}
-
-@inproceedings{Hinton1986Learning,
-  title={Learning distributed representations of concepts.},
-  author={Hinton, Geoffrey E},
-  booktitle={Eighth Conference of the Cognitive Science Society},
-  year={1986},
+  booktitle={Proceedings of the ACM SIGKDD Workshop on Mining Data Semantics},
+  pages={1--7},
+  year={2012},
+  address = {New York, NY, USA},
+  organization={ACM},
 }
 
-@inproceedings{mikolov2013distributed,
-  title={Distributed representations of words and phrases and their compositionality},
-  author={Mikolov, Tomas and Sutskever, Ilya and Chen, Kai and Corrado, Greg S and Dean, Jeff},
-  booktitle={Advances in neural information processing systems},
-  pages={3111--3119},
-  year={2013}
-}
-
-@inproceedings{Sakurada2014Anomaly,
-  title={Anomaly Detection Using Autoencoders with Nonlinear Dimensionality Reduction},
-  author={Sakurada, Mayu and Yairi, Takehisa},
-  booktitle={Mlsda 2014  Workshop on Machine Learning for Sensory Data Analysis},
-  pages={4},
-  year={2014},
-}
-
-@inproceedings{Jin2017multimodal,
-  author    = {Jin, Zhiwei and Cao, Juan and Guo, Han and Zhang. Yongdong and Luo, Jiebo},
-  title     = {Multimodal Fusion with Recurrent Neural Networks for Rumor Detection on Microblogs},
-  booktitle = {Proceedings of the 2017 {ACM} on Multimedia Conference, {MM} 2017, Mountain View, CA, USA, October 23-27, 2017},
-  pages     = {795--816},
-  year      = {2017}
-}
-
-@InProceedings{Bell2016InsideOut,
-  author = {Bell, Sean and Lawrence Zitnick, C. and Bala, Kavita and Girshick, Ross},
-  title = {Inside-Outside Net: Detecting Objects in Context With Skip Pooling and Recurrent Neural Networks},
-  booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
-  month = {June},
-  year = {2016}
-}
-
-@InProceedings{Lin2017FPN,
-  author = {Lin, Tsung-Yi and Dollar, Piotr and Girshick, Ross and He, Kaiming and Hariharan, Bharath and Belongie, Serge},
-  title = {Feature Pyramid Networks for Object Detection},
-  booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
-  month = {July},
-  year = {2017}
-}
-
-@InProceedings{Cai2016MSCNN,
-  author="Cai, Zhaowei and Fan, Quanfu and Feris, Rogerio S. and Vasconcelos, Nuno",
-  title="A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection",
-  booktitle="Computer Vision -- ECCV 2016",
-  year="2016",
-  pages="354--370"
-}
-
-
-
 % (4)学位论文（格式已验证）
 % [序号] 作者.题目.[学位论文](英文用[Dissertation]).保存地点.保存单位:年份.
 % 中文需要使用language={Chinese}字段，英文输入language={}