Author page shashank gupta uiuc (closes #3658) (#5821)

Author: mjpost

data/xml/2020.ecnlp.xml

@@ -176,7 +176,7 @@
     </paper>
     <paper id="13">
       <title>On Application of <fixed-case>B</fixed-case>ayesian Parametric and Non-parametric Methods for User Cohorting in Product Search</title>
-      <author><first>Shashank</first><last>Gupta</last></author>
+      <author id="shashank-gupta"><first>Shashank</first><last>Gupta</last></author>
       <pages>86–89</pages>
       <abstract>In this paper, we study the applicability of Bayesian Parametric and Non-parametric methods for user clustering in an E-commerce search setting. To the best of our knowledge, this is the first work that presents a comparative study of various Bayesian clustering methods in the context of product search. Specifically, we cluster users based on their topical patterns from their respective product search queries. To evaluate the quality of the clusters formed, we perform a collaborative query recommendation task. Our findings indicate that simple parametric model like Latent Dirichlet Allocation (LDA) outperforms more sophisticated non-parametric methods like Distance Dependent Chinese Restaurant Process and Dirichlet Process-based clustering in both tasks.</abstract>
       <url hash="b57c3987">2020.ecnlp-1.13</url>

data/xml/2020.semeval.xml

@@ -651,7 +651,7 @@
       <title><fixed-case>IITK</fixed-case>-<fixed-case>RSA</fixed-case> at <fixed-case>S</fixed-case>em<fixed-case>E</fixed-case>val-2020 Task 5: Detecting Counterfactuals</title>
       <author><first>Anirudh Anil</first><last>Ojha</last></author>
       <author><first>Rohin</first><last>Garg</last></author>
-      <author><first>Shashank</first><last>Gupta</last></author>
+      <author id="shashank-gupta"><first>Shashank</first><last>Gupta</last></author>
       <author><first>Ashutosh</first><last>Modi</last></author>
       <pages>458–467</pages>
       <abstract>This paper describes our efforts in tackling Task 5 of SemEval-2020. The task involved detecting a class of textual expressions known as counterfactuals and separating them into their constituent elements. Our final submitted approaches were an ensemble of various fine-tuned transformer-based and CNN-based models for the first subtask and a transformer model with dependency tree information for the second subtask. We ranked 4-th and 9-th in the overall leaderboard. We also explored various other approaches that involved classical methods, other neural architectures and incorporation of different linguistic features.</abstract>

data/xml/2024.acl.xml

@@ -12026,7 +12026,7 @@
       <author><first>Ruskin</first><last>Manku</last><affiliation>State University of New York at Stony Brook</affiliation></author>
       <author><first>Vinty</first><last>Dong</last><affiliation>State University of New York at Stony Brook</affiliation></author>
       <author><first>Edward</first><last>Li</last><affiliation>State University of New York at Stony Brook</affiliation></author>
-      <author><first>Shashank</first><last>Gupta</last><affiliation>Allen Institute for Artificial Intelligence</affiliation></author>
+      <author id="shashank-gupta"><first>Shashank</first><last>Gupta</last><affiliation>Allen Institute for Artificial Intelligence</affiliation></author>
       <author><first>Ashish</first><last>Sabharwal</last><affiliation>Allen Institute for Artificial Intelligence</affiliation></author>
       <author><first>Niranjan</first><last>Balasubramanian</last><affiliation>State University of New York, Stony Brook</affiliation></author>
       <pages>16022-16076</pages>

data/xml/2024.emnlp.xml

@@ -9747,7 +9747,7 @@
       <title><fixed-case>SUPER</fixed-case>: Evaluating Agents on Setting Up and Executing Tasks from Research Repositories</title>
       <author><first>Ben</first><last>Bogin</last><affiliation>Allen Institute for Artificial Intelligence</affiliation></author>
       <author><first>Kejuan</first><last>Yang</last></author>
-      <author><first>Shashank</first><last>Gupta</last><affiliation>Allen Institute for Artificial Intelligence</affiliation></author>
+      <author id="shashank-gupta"><first>Shashank</first><last>Gupta</last><affiliation>Allen Institute for Artificial Intelligence</affiliation></author>
       <author><first>Kyle</first><last>Richardson</last><affiliation>Allen Institute for Artificial Intelligence</affiliation></author>
       <author><first>Erin</first><last>Bransom</last><affiliation>Allen Institute for Artificial Intelligence</affiliation></author>
       <author><first>Peter</first><last>Clark</last><affiliation>Allen Institute for Artificial Intelligence</affiliation></author>

data/xml/L18.xml

@@ -801,7 +801,7 @@
       <author><first>John</first><last>Wieting</last></author>
       <author><first>Xiaodong</first><last>Yu</last></author>
       <author><first>Yangqiu</first><last>Song</last></author>
-      <author><first>Shashank</first><last>Gupta</last></author>
+      <author id="shashank-gupta-uiuc"><first>Shashank</first><last>Gupta</last></author>
       <author><first>Shyam</first><last>Upadhyay</last></author>
       <author><first>Naveen</first><last>Arivazhagan</last></author>
       <author><first>Qiang</first><last>Ning</last></author>

data/xml/R17.xml

@@ -522,7 +522,7 @@
     <paper id="47">
       <title>Making Travel Smarter: Extracting Travel Information From Email Itineraries Using Named Entity Recognition</title>
       <author><first>Divyansh</first><last>Kaushik</last></author>
-      <author><first>Shashank</first><last>Gupta</last></author>
+      <author id="shashank-gupta"><first>Shashank</first><last>Gupta</last></author>
       <author><first>Chakradhar</first><last>Raju</last></author>
       <author><first>Reuben</first><last>Dias</last></author>
       <author><first>Sanjib</first><last>Ghosh</last></author>

data/yaml/name_variants.yaml

@@ -10966,3 +10966,10 @@
   id: shengjie-li-peking
   comment: Peking University
   orcid: 0000-0003-3489-9125
+- canonical: {first: Shashank, last: Gupta}
+  id: shashank-gupta-uiuc
+  orcid: 0000-0002-3683-3739
+  institution: University of Illinois at Urbana-Champaign
+- canonical: {first: Shashank, last: Gupta}
+  id: shashank-gupta
+  comment: "May refer to several people"