Update metadata from Papers with Code

EricPeter · Jun 30, 2022 · f003925 · f003925
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diff --git a/data/xml/2020.acl.xml b/data/xml/2020.acl.xml
@@ -2496,6 +2496,7 @@
       <doi>10.18653/v1/2020.acl-main.169</doi>
       <video href="http://slideslive.com/38929267"/>
       <bibkey>madaan-etal-2020-politeness</bibkey>
+      <pwccode url="https://github.com/tag-and-generate/Politeness-Transfer-A-Tag-and-Generate-Approach" additional="true">tag-and-generate/Politeness-Transfer-A-Tag-and-Generate-Approach</pwccode>
     </paper>
     <paper id="170">
       <title><fixed-case>BPE</fixed-case>-Dropout: Simple and Effective Subword Regularization</title>

diff --git a/data/xml/2020.coling.xml b/data/xml/2020.coling.xml
@@ -8167,6 +8167,7 @@
       <url hash="57a55044">2020.coling-demos.2</url>
       <doi>10.18653/v1/2020.coling-demos.2</doi>
       <bibkey>akhbardeh-etal-2020-maintnet</bibkey>
+      <pwcdataset url="https://paperswithcode.com/dataset/10000-people-human-pose-recognition-data">10,000 People - Human Pose Recognition Data</pwcdataset>
     </paper>
     <paper id="3">
       <title><fixed-case>DART</fixed-case>: A Lightweight Quality-Suggestive Data-to-Text Annotation Tool</title>

diff --git a/data/xml/2020.emnlp.xml b/data/xml/2020.emnlp.xml
@@ -6088,6 +6088,7 @@
       <doi>10.18653/v1/2020.emnlp-main.406</doi>
       <video href="https://slideslive.com/38939315"/>
       <bibkey>gao-gormley-2020-training</bibkey>
+      <pwcdataset url="https://paperswithcode.com/dataset/conll-2003">CoNLL-2003</pwcdataset>
     </paper>
     <paper id="407">
       <title>Multilevel Text Alignment with Cross-Document Attention</title>

diff --git a/data/xml/2021.acl.xml b/data/xml/2021.acl.xml
@@ -9168,7 +9168,7 @@
       <award>Outstanding Paper</award>
       <doi>10.18653/v1/2021.acl-long.568</doi>
       <bibkey>aghajanyan-etal-2021-intrinsic</bibkey>
-      <pwccode url="https://github.com/rabeehk/compacter" additional="false">rabeehk/compacter</pwccode>
+      <pwccode url="https://github.com/rabeehk/compacter" additional="true">rabeehk/compacter</pwccode>
       <pwcdataset url="https://paperswithcode.com/dataset/anli">ANLI</pwcdataset>
       <pwcdataset url="https://paperswithcode.com/dataset/glue">GLUE</pwcdataset>
       <pwcdataset url="https://paperswithcode.com/dataset/mrpc">MRPC</pwcdataset>

diff --git a/data/xml/2021.emnlp.xml b/data/xml/2021.emnlp.xml
@@ -7500,6 +7500,7 @@
       <bibkey>liu-etal-2021-effective</bibkey>
       <doi>10.18653/v1/2021.emnlp-main.481</doi>
       <video href="2021.emnlp-main.481.mp4"/>
+      <pwcdataset url="https://paperswithcode.com/dataset/mimic-iii">MIMIC-III</pwcdataset>
     </paper>
     <paper id="482">
       <title>Contrastive Code Representation Learning</title>

diff --git a/data/xml/2021.naacl.xml b/data/xml/2021.naacl.xml
@@ -1194,7 +1194,7 @@
       <doi>10.18653/v1/2021.naacl-main.77</doi>
       <bibkey>sun-etal-2021-lightningdot</bibkey>
       <video href="2021.naacl-main.77.mp4"/>
-      <pwccode url="https://github.com/intersun/LightningDOT" additional="false">intersun/LightningDOT</pwccode>
+      <pwccode url="https://github.com/intersun/LightningDOT" additional="true">intersun/LightningDOT</pwccode>
       <pwcdataset url="https://paperswithcode.com/dataset/coco">COCO</pwcdataset>
     </paper>
     <paper id="78">
@@ -4168,6 +4168,7 @@
       <bibkey>iida-etal-2021-tabbie</bibkey>
       <video href="2021.naacl-main.270.mp4"/>
       <pwccode url="https://github.com/SFIG611/tabbie" additional="false">SFIG611/tabbie</pwccode>
+      <pwcdataset url="https://paperswithcode.com/dataset/viznet-sato">VizNet-Sato</pwcdataset>
     </paper>
     <paper id="271">
       <title>Better Feature Integration for Named Entity Recognition</title>

diff --git a/data/xml/2022.acl.xml b/data/xml/2022.acl.xml
@@ -6536,6 +6536,7 @@ in the Case of Unambiguous Gender</title>
       <pwcdataset url="https://paperswithcode.com/dataset/csqa">CSQA</pwcdataset>
       <pwcdataset url="https://paperswithcode.com/dataset/complexwebquestions">ComplexWebQuestions</pwcdataset>
       <pwcdataset url="https://paperswithcode.com/dataset/metaqa">MetaQA</pwcdataset>
+      <pwcdataset url="https://paperswithcode.com/dataset/simplequestions">SimpleQuestions</pwcdataset>
       <pwcdataset url="https://paperswithcode.com/dataset/webquestions">WebQuestions</pwcdataset>
     </paper>
     <paper id="423">
@@ -7692,6 +7693,9 @@ in the Case of Unambiguous Gender</title>
       <attachment type="software" hash="df7af561">2022.acl-long.498.software.zip</attachment>
       <bibkey>zhou-etal-2022-distantly</bibkey>
       <doi>10.18653/v1/2022.acl-long.498</doi>
+      <pwccode url="https://github.com/kangISU/Conf-MPU-DS-NER" additional="false">kangISU/Conf-MPU-DS-NER</pwccode>
+      <pwcdataset url="https://paperswithcode.com/dataset/bc5cdr">BC5CDR</pwcdataset>
+      <pwcdataset url="https://paperswithcode.com/dataset/conll-2003">CoNLL-2003</pwcdataset>
     </paper>
     <paper id="499">
       <title><fixed-case>U</fixed-case>ni<fixed-case>X</fixed-case>coder: Unified Cross-Modal Pre-training for Code Representation</title>

diff --git a/data/xml/2022.fl4nlp.xml b/data/xml/2022.fl4nlp.xml
@@ -50,7 +50,6 @@
       <url hash="ba10ba8f">2022.fl4nlp-1.2</url>
       <bibkey>ro-etal-2022-scaling</bibkey>
       <doi>10.18653/v1/2022.fl4nlp-1.2</doi>
-      <pwcdataset url="https://paperswithcode.com/dataset/billion-word-benchmark">Billion Word Benchmark</pwcdataset>
     </paper>
     <paper id="3">
       <title>Adaptive Differential Privacy for Language Model Training</title>

diff --git a/data/xml/D14.xml b/data/xml/D14.xml
@@ -1716,6 +1716,7 @@
       <url hash="ccc02ed3">D14-1162</url>
       <doi>10.3115/v1/D14-1162</doi>
       <bibkey>pennington-etal-2014-glove</bibkey>
+      <pwccode url="https://github.com/stanfordnlp/GloVe" additional="true">stanfordnlp/GloVe</pwccode>
       <pwcdataset url="https://paperswithcode.com/dataset/conll-2003">CoNLL-2003</pwcdataset>
     </paper>
     <paper id="163">

diff --git a/data/xml/D18.xml b/data/xml/D18.xml
@@ -1515,6 +1515,7 @@
       <bibkey>hayati-etal-2018-retrieval</bibkey>
       <pwccode url="https://github.com/sweetpeach/ReCode" additional="false">sweetpeach/ReCode</pwccode>
       <pwcdataset url="https://paperswithcode.com/dataset/django">Django</pwcdataset>
+      <pwcdataset url="https://paperswithcode.com/dataset/hearthstone">Hearthstone</pwcdataset>
     </paper>
     <paper id="112">
       <title><fixed-case>SQL</fixed-case>-to-Text Generation with Graph-to-Sequence Model</title>
@@ -2115,6 +2116,7 @@
       <doi>10.18653/v1/D18-1156</doi>
       <bibkey>liu-etal-2018-jointly</bibkey>
       <pwccode url="https://github.com/lx865712528/JMEE" additional="true">lx865712528/JMEE</pwccode>
+      <pwcdataset url="https://paperswithcode.com/dataset/ace-2005">ACE 2005</pwcdataset>
     </paper>
     <paper id="157">
       <title><fixed-case>RESIDE</fixed-case>: Improving Distantly-Supervised Neural Relation Extraction using Side Information</title>
@@ -2635,6 +2637,7 @@
       <bibkey>iyer-etal-2018-mapping</bibkey>
       <pwccode url="https://github.com/sriniiyer/concode" additional="false">sriniiyer/concode</pwccode>
       <pwcdataset url="https://paperswithcode.com/dataset/concode">CONCODE</pwcdataset>
+      <pwcdataset url="https://paperswithcode.com/dataset/hearthstone">Hearthstone</pwcdataset>
     </paper>
     <paper id="193">
       <title><fixed-case>S</fixed-case>yntax<fixed-case>SQLN</fixed-case>et: Syntax Tree Networks for Complex and Cross-Domain Text-to-<fixed-case>SQL</fixed-case> Task</title>
@@ -7733,6 +7736,7 @@
       <abstract>This paper describes SentencePiece, a language-independent subword tokenizer and detokenizer designed for Neural-based text processing, including Neural Machine Translation. It provides open-source C++ and Python implementations for subword units. While existing subword segmentation tools assume that the input is pre-tokenized into word sequences, SentencePiece can train subword models directly from raw sentences, which allows us to make a purely end-to-end and language independent system. We perform a validation experiment of NMT on English-Japanese machine translation, and find that it is possible to achieve comparable accuracy to direct subword training from raw sentences. We also compare the performance of subword training and segmentation with various configurations. SentencePiece is available under the Apache 2 license at <url>https://github.com/google/sentencepiece</url>.</abstract>
       <doi>10.18653/v1/D18-2012</doi>
       <bibkey>kudo-richardson-2018-sentencepiece</bibkey>
+      <pwccode url="" additional="true"/>
     </paper>
     <paper id="13">
       <title><fixed-case>C</fixed-case>og<fixed-case>C</fixed-case>omp<fixed-case>T</fixed-case>ime: A Tool for Understanding Time in Natural Language</title>

diff --git a/data/xml/I17.xml b/data/xml/I17.xml
@@ -1755,6 +1755,7 @@
       <bibkey>miceli-barone-sennrich-2017-parallel</bibkey>
       <pwccode url="https://github.com/Avmb/code-docstring-corpus" additional="true">Avmb/code-docstring-corpus</pwccode>
       <pwcdataset url="https://paperswithcode.com/dataset/django">Django</pwcdataset>
+      <pwcdataset url="https://paperswithcode.com/dataset/hearthstone">Hearthstone</pwcdataset>
     </paper>
     <paper id="54">
       <title>Building Large <fixed-case>C</fixed-case>hinese Corpus for Spoken Dialogue Research in Specific Domains</title>

diff --git a/data/xml/N19.xml b/data/xml/N19.xml
@@ -1719,6 +1719,7 @@
       <doi>10.18653/v1/N19-1124</doi>
       <video href="https://vimeo.com/360630558"/>
       <bibkey>cai-etal-2019-skeleton</bibkey>
+      <pwccode url="https://github.com/jcyk/skeleton-to-response" additional="false">jcyk/skeleton-to-response</pwccode>
     </paper>
     <paper id="125">
       <title>Jointly Optimizing Diversity and Relevance in Neural Response Generation</title>
@@ -4737,6 +4738,7 @@
       <doi>10.18653/v1/N19-1349</doi>
       <video href="https://vimeo.com/364782035"/>
       <bibkey>ko-etal-2019-linguistically</bibkey>
+      <pwccode url="https://github.com/wjko2/Linguistically-Informed-Specificity-and-Semantic-Plausibility-for-Dialogue-Generation" additional="false">wjko2/Linguistically-Informed-Specificity-and-Semantic-Plausibility-for-Dialogue-Generation</pwccode>
       <pwcdataset url="https://paperswithcode.com/dataset/cola">CoLA</pwcdataset>
     </paper>
     <paper id="350">

diff --git a/data/xml/P16.xml b/data/xml/P16.xml
@@ -640,6 +640,7 @@
       <doi>10.18653/v1/P16-1057</doi>
       <bibkey>ling-etal-2016-latent</bibkey>
       <pwccode url="https://github.com/deepmind/card2code" additional="true">deepmind/card2code</pwccode>
+      <pwcdataset url="https://paperswithcode.com/dataset/hearthstone">Hearthstone</pwcdataset>
       <pwcdataset url="https://paperswithcode.com/dataset/django">Django</pwcdataset>
     </paper>
     <paper id="58">