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YixuanCao · Oct 8, 2023 · d72bf5f · d72bf5f
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diff --git a/_publications/2019-09-27-CIKM.md b/_publications/2019-09-27-CIKM.md
@@ -6,7 +6,7 @@ excerpt: 'nested relation extraction with iterative neural network'
 date: 2019-09-27
 venue: 'CIKM'
 paperurl: 'https://dl.acm.org/doi/abs/10.1145/3357384.3358003'
-citation: 'Yixuan Cao, Dian Chen, Hongwei Li, and Ping Luo. Nested Relation Extraction with Iterative Neural Network, In CIKM, 2019.'
+citation: 'Yixuan Cao, Dian Chen, Hongwei Li, and Ping Luo. Nested Relation Extraction with Iterative Neural Network. In CIKM, 2019.'
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 This paper introduce a noval and challange NLP problem: nested relation extraction.
 

diff --git a/_publications/2020-02-27-KDD.md b/_publications/2020-02-27-KDD.md
@@ -6,7 +6,7 @@ excerpt: 'automatic cross-checking over numerical facts in tables'
 date: 2020-02-27
 venue: 'KDD'
 paperurl: 'https://dl.acm.org/doi/abs/10.1145/3394486.3403310'
-citation: 'Hongwei Li, Qingping Yang, Yixuan Cao, Jiaquan Yao, and Ping Luo. Cracking Tabular Presentation Diversity for Automatic Cross-Checking over Numerical Facts, In KDD, 2020.'
+citation: 'Hongwei Li, Qingping Yang, Yixuan Cao, Jiaquan Yao, and Ping Luo. Cracking Tabular Presentation Diversity for Automatic Cross-Checking over Numerical Facts. In KDD, 2020.'
 ---
 This paper introduce an interesting and useful task: cross-checking over numerical facts in tables.
 

diff --git a/_publications/2020-12-27-AAAI.md b/_publications/2020-12-27-AAAI.md
@@ -6,7 +6,7 @@ excerpt: 'solve math word problem as extracting a DAG structure upon text'
 date: 2020-12-27
 venue: 'AAAI'
 paperurl: 'https://doi.org/10.1609/aaai.v35i1.16075'
-citation: 'Yixuan Cao, Feng Hong, Hongwei Li, and Ping Luo. A Bottom-Up DAG Structure Extraction Model for Math Word Problems, In AAAI, 2021.'
+citation: 'Yixuan Cao, Feng Hong, Hongwei Li, and Ping Luo. A Bottom-Up DAG Structure Extraction Model for Math Word Problems. In AAAI, 2021.'
 ---
 Automatically solving math word problem is a long studied problem in artificial intelligence research area.
 

diff --git a/_publications/2021-02-27-KDD.md b/_publications/2021-02-27-KDD.md
@@ -6,7 +6,7 @@ excerpt: 'extracting numerical calculation formulas in tables'
 date: 2021-02-27
 venue: 'KDD'
 paperurl: 'https://dl.acm.org/doi/abs/10.1145/3447548.3467425'
-citation: 'Qingping Yang, Yixuan Cao, Hongwei Li, and Ping Luo. Numerical Formula Recognition from Tables, In KDD, 2021.'
+citation: 'Qingping Yang, Yixuan Cao, Hongwei Li, and Ping Luo. Numerical Formula Recognition from Tables. In KDD, 2021.'
 ---
 This paper introduce an new problem on table: extracting numerical formula from table based on the text (not the numbers).
 

diff --git a/_publications/2021-07-01-CIKM.md b/_publications/2021-07-01-CIKM.md
@@ -6,7 +6,7 @@ excerpt: 'Assess compliance for annual reports of listed company against hundred
 date: 2021-07-01
 venue: 'CIKM'
 paperurl: 'https://dl.acm.org/doi/abs/10.1145/3459637.3481929'
-citation: 'Zhengqi Xu, Yixuan Cao, et al. Numerical Formula Recognition from Tables, In CIKM, 2021.'
+citation: 'Zhengqi Xu, Yixuan Cao, et al. Numerical Formula Recognition from Tables. In CIKM, 2021.'
 ---
 The initial public offering (IPO) market in Hong Kong is consistently one of the largest in the world. As part of its regulatory responsibilities, Hong Kong Exchanges and Clearing Limited (HKEX) reviews annual reports published by listed companies (issuers). The number of issuers has grown at a fast pace, reaching 2,538 as the end of 2020.  This poses a challenge for manually reviewing these annual reports against the many diverse regulatory obligations (listing rules).