Update metadata from Papers with Code

acl-org · Sep 12, 2024 · 50cba9c · 50cba9c
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diff --git a/data/xml/2021.emnlp.xml b/data/xml/2021.emnlp.xml
@@ -5461,6 +5461,7 @@
       <bibkey>chen-etal-2021-websrc</bibkey>
       <doi>10.18653/v1/2021.emnlp-main.343</doi>
       <video href="2021.emnlp-main.343.mp4"/>
+      <pwcdataset url="https://paperswithcode.com/dataset/websrc">WebSRC</pwcdataset>
       <pwcdataset url="https://paperswithcode.com/dataset/squad">SQuAD</pwcdataset>
     </paper>
     <paper id="344">

diff --git a/data/xml/2022.acl.xml b/data/xml/2022.acl.xml
@@ -6800,6 +6800,7 @@ in the Case of Unambiguous Gender</title>
       <url hash="876c0fb9">2022.acl-long.420</url>
       <bibkey>li-etal-2022-markuplm</bibkey>
       <doi>10.18653/v1/2022.acl-long.420</doi>
+      <pwcdataset url="https://paperswithcode.com/dataset/websrc">WebSRC</pwcdataset>
     </paper>
     <paper id="421">
       <title><fixed-case>CLIP</fixed-case> Models are Few-Shot Learners: Empirical Studies on <fixed-case>VQA</fixed-case> and Visual Entailment</title>

diff --git a/data/xml/2022.findings.xml b/data/xml/2022.findings.xml
@@ -2295,7 +2295,7 @@
       <bibkey>dabre-etal-2022-indicbart</bibkey>
       <doi>10.18653/v1/2022.findings-acl.145</doi>
       <video href="2022.findings-acl.145.mp4"/>
-      <pwccode url="https://github.com/AI4Bharat/indic-bart" additional="false">AI4Bharat/indic-bart</pwccode>
+      <pwccode url="https://github.com/AI4Bharat/indic-bart" additional="true">AI4Bharat/indic-bart</pwccode>
       <pwcdataset url="https://paperswithcode.com/dataset/flores">FLoRes</pwcdataset>
       <pwcdataset url="https://paperswithcode.com/dataset/flores-101">FLoRes-101</pwcdataset>
       <pwcdataset url="https://paperswithcode.com/dataset/indiccorp">IndicCorp</pwcdataset>

diff --git a/data/xml/2022.lrec.xml b/data/xml/2022.lrec.xml
@@ -7182,6 +7182,7 @@
       <url hash="f45ac3f8">2022.lrec-1.577</url>
       <bibkey>jauhar-etal-2022-ms</bibkey>
       <pwccode url="https://github.com/microsoft/ms-latte" additional="false">microsoft/ms-latte</pwccode>
+      <pwcdataset url="https://paperswithcode.com/dataset/10000-people-human-pose-recognition-data">10,000 People - Human Pose Recognition Data</pwcdataset>
     </paper>
     <paper id="578">
       <title><fixed-case>K</fixed-case>azakh<fixed-case>TTS</fixed-case>2: Extending the Open-Source <fixed-case>K</fixed-case>azakh <fixed-case>TTS</fixed-case> Corpus With More Data, Speakers, and Topics</title>

diff --git a/data/xml/2022.naacl.xml b/data/xml/2022.naacl.xml
@@ -2149,6 +2149,7 @@
       <doi>10.18653/v1/2022.naacl-main.132</doi>
       <video href="2022.naacl-main.132.mp4"/>
       <pwccode url="https://github.com/x-lance/tie" additional="false">x-lance/tie</pwccode>
+      <pwcdataset url="https://paperswithcode.com/dataset/websrc">WebSRC</pwcdataset>
     </paper>
     <paper id="133">
       <title><fixed-case>RSTG</fixed-case>en: Imbuing Fine-Grained Interpretable Control into Long-<fixed-case>F</fixed-case>orm<fixed-case>T</fixed-case>ext Generators</title>

diff --git a/data/xml/W17.xml b/data/xml/W17.xml
@@ -3387,7 +3387,6 @@ is able to handle phenomena related to scope by means of an higher-order type th
       <doi>10.18653/v1/W17-1810</doi>
       <abstract>This paper presents an open-source toolkit for negation detection. It identifies negation cues and their corresponding scope in either raw or parsed text using maximum-margin classification. The system design draws on best practice from the existing literature on negation detection, aiming for a simple and portable system that still achieves competitive performance. Pre-trained models and experimental results are provided for English.</abstract>
       <bibkey>enger-etal-2017-open</bibkey>
-      <pwccode url="https://github.com/marenger/negtool" additional="false">marenger/negtool</pwccode>
     </paper>
   </volume>
   <volume id="19" type="proceedings">

diff --git a/data/xml/W19.xml b/data/xml/W19.xml
@@ -2262,6 +2262,7 @@
       <doi>10.18653/v1/W19-1909</doi>
       <bibkey>alsentzer-etal-2019-publicly</bibkey>
       <pwccode url="https://github.com/EmilyAlsentzer/clinicalBERT" additional="true">EmilyAlsentzer/clinicalBERT</pwccode>
+      <pwcdataset url="https://paperswithcode.com/dataset/mimic-iii">MIMIC-III</pwcdataset>
     </paper>
     <paper id="10">
       <title>A General-Purpose Annotation Model for Knowledge Discovery: Case Study in <fixed-case>S</fixed-case>panish Clinical Text</title>