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Hi Adapters,</div>
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I present<font style="display:inline"> about "</font><span style="background-color:rgba(0,0,0,0); font-size:14pt; font-family:NimbusRomNo9L; font-weight:500">A Constrained Sequence-to-Sequence Neural Model for Sentence Simplification,</span><font style="color:inherit; font-family:inherit; font-size:inherit; font-style:inherit; font-variant-ligatures:inherit; font-variant-caps:inherit; font-weight:inherit; background-color:rgba(0,0,0,0); display:inline">"
written by Yaoyuan Zhang, Zhenxu Ye, Yansong Feng, Donyan Zhao, Rui Yan.</font></div>
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<span style="background-color:rgba(0,0,0,0); color:rgb(0,0,0); font-family:Verdana; font-size:14px">This paper will introduce the multi-constrained seq2seq model. Which is use for the text simplification. And compare the result of this method to others.</span><br>
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<span style="margin:0px; font-size:16px; line-height:27.2px; font-family:arial,helvetica,sans-serif">Time: 17:00 April 24</span><br style="font-family:arial,helvetica,sans-serif; font-size:16px; line-height:27.2px">
<span style="margin:0px; font-size:16px; line-height:27.2px; font-family:arial,helvetica,sans-serif">Venue: SEIEE 3-414</span></div>
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<span style="margin:0px; line-height:1.5">Best,</span></div>
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Paveen Virameteekul</div>
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