<html><body><div style="font-family: arial, helvetica, sans-serif; font-size: 12pt; color: #000000"><div>For Cross-Lingual Machine Translation, <!--StartFragment-->Multi-View Cross-Lingual Structured Prediction with Minimum Supervision (ACL2021) <a href="http://faculty.sist.shanghaitech.edu.cn/faculty/tukw/acl21mv.pdf">http://faculty.sist.shanghaitech.edu.cn/faculty/tukw/acl21mv.pdf</a> </div><div><br></div><hr id="zwchr" data-marker="__DIVIDER__"><div data-marker="__HEADERS__"><b>From: </b>"許喬為" <cwhsu@iis.sinica.edu.tw><br><b>To: </b>"Most-ai-contest" <Most-ai-contest@iis.sinica.edu.tw><br><b>Sent: </b>Tuesday, October 5, 2021 3:55:39 PM<br><b>Subject: </b>Cross-View Training<br></div><div><br></div><div data-marker="__QUOTED_TEXT__"><div style="font-family:'arial' , 'helvetica' , sans-serif;font-size:12pt;color:#000000"><div class="oIy2qc" style="color:#202124;font-size:13px;line-height:20px;padding-top:0px;white-space:pre-wrap;font-family:'roboto' , 'arial' , sans-serif;font-style:normal;font-weight:400;letter-spacing:normal;text-align:left;text-indent:0px;text-transform:none;word-spacing:0px;background-color:#ffffff">Dear all,</div><div class="oIy2qc" style="color:#202124;font-size:13px;line-height:20px;padding-top:0px;white-space:pre-wrap;font-family:'roboto' , 'arial' , sans-serif;font-style:normal;font-weight:400;letter-spacing:normal;text-align:left;text-indent:0px;text-transform:none;word-spacing:0px;background-color:#ffffff"><br></div><div class="oIy2qc" style="color:#202124;font-size:13px;line-height:20px;padding-top:0px;white-space:pre-wrap;font-family:'roboto' , 'arial' , sans-serif;font-style:normal;font-weight:400;letter-spacing:normal;text-align:left;text-indent:0px;text-transform:none;word-spacing:0px;background-color:#ffffff">You can check Cross-View Training in the following papers.</div><div class="oIy2qc" style="color:#202124;font-size:13px;line-height:20px;padding-top:0px;white-space:pre-wrap;font-family:'roboto' , 'arial' , sans-serif;font-style:normal;font-weight:400;letter-spacing:normal;text-align:left;text-indent:0px;text-transform:none;word-spacing:0px;background-color:#ffffff"><br></div><div class="oIy2qc" style="color:#202124;font-size:13px;line-height:20px;padding-top:0px;white-space:pre-wrap;font-family:'roboto' , 'arial' , sans-serif;font-style:normal;font-weight:400;letter-spacing:normal;text-align:left;text-indent:0px;text-transform:none;word-spacing:0px;background-color:#ffffff">1. For NER, Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning <a href="https://aclanthology.org/D18-1217.pdf" target="_blank" rel="nofollow noopener noreferrer">https://aclanthology.org/D18-1217.pdf</a> (Alibaba) <= This applies to transformer-based model, which I think is quite helpful and provides an easy way to do cross-view training on BERT-like models.</div><div class="oIy2qc" style="color:#202124;font-size:13px;line-height:20px;padding-top:0px;white-space:pre-wrap;font-family:'roboto' , 'arial' , sans-serif;font-style:normal;font-weight:400;letter-spacing:normal;text-align:left;text-indent:0px;text-transform:none;word-spacing:0px;background-color:#ffffff">2. For Sequence Labeling, e.g., NER, Semi-Supervised Sequence Modeling with Cross-View Training <a rel="nofollow noopener noreferrer nofollow noopener noreferrer" href="https://arxiv.org/pdf/2105.03654.pdf" style="color:rgb( 51 , 103 , 214 )" target="_blank">https://aclanthology.org/D18-1217.pdf</a> (Clark, Le Quoc, Chris Manning)<br></div><div class="oIy2qc" style="color:#202124;font-size:13px;line-height:20px;padding-top:0px;white-space:pre-wrap;font-family:'roboto' , 'arial' , sans-serif;font-style:normal;font-weight:400;letter-spacing:normal;text-align:left;text-indent:0px;text-transform:none;word-spacing:0px;background-color:#ffffff">3. A Survey on Multi-view Learning: <a href="https://arxiv.org/abs/1304.5634" target="_blank" rel="nofollow noopener noreferrer">https://arxiv.org/abs/1304.5634</a><div class="oIy2qc" style="color:rgb( 32 , 33 , 36 );font-size:13px;line-height:20px;padding-top:0px;white-space:pre-wrap;font-family:'roboto' , 'arial' , sans-serif;font-style:normal;font-weight:400;letter-spacing:normal;text-align:left;text-indent:0px;text-transform:none;word-spacing:0px;background-color:rgb( 255 , 255 , 255 )"></div></div><div class="oIy2qc" style="color:#202124;font-size:13px;line-height:20px;padding-top:0px;white-space:pre-wrap;font-family:'roboto' , 'arial' , sans-serif;font-style:normal;font-weight:400;letter-spacing:normal;text-align:left;text-indent:0px;text-transform:none;word-spacing:0px;background-color:#ffffff"><br>FYI,</div><div class="oIy2qc" style="color:#202124;font-size:13px;line-height:20px;padding-top:0px;white-space:pre-wrap;font-family:'roboto' , 'arial' , sans-serif;font-style:normal;font-weight:400;letter-spacing:normal;text-align:left;text-indent:0px;text-transform:none;word-spacing:0px;background-color:#ffffff"><br></div><div class="oIy2qc" style="color:#202124;font-size:13px;line-height:20px;padding-top:0px;white-space:pre-wrap;font-family:'roboto' , 'arial' , sans-serif;font-style:normal;font-weight:400;letter-spacing:normal;text-align:left;text-indent:0px;text-transform:none;word-spacing:0px;background-color:#ffffff">Chiao-Wei</div></div><br></div></div></body></html>