Baidu Research

<!doctype html> <html> <head> <meta charset="utf-8"> <meta name="renderer" content="webkit" /> <meta name="format-detection" content="telephone=no" /> <meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1" /> <meta content="width=device-width, initial-scale=1, maximum-scale=1, minimum-scale=1" name="viewport" /> <title>Baidu Research</title> <link rel="shortcut icon" href="../web/images/favicon.png" type="image/x-icon"> <link rel="stylesheet" href="../web/css/reset.css"> <link rel="stylesheet" href="../web/css/animate.css"> <link rel="stylesheet" href="../web/css/Bootstrap.css">  <link rel="stylesheet" href="../web/css/style.css?333"> <link rel="stylesheet" href="../web/css/media.css">  <script src="../web/js/jquery.min.js"></script>  </head> <body class="n_body" ondragstart="return false">  <div class="n_header"> <div class="container"> <div class="header01"> <div class="logo"> <a class="h_logo" href="/Index" style="background-image: url(../web/images/logo.png);"><img 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class="home-title">PUBLICATIONS</div> <ul class="home-publications-info"> <ul class="row"> <li class="col-md-6 col-xs-12"> <div class="tt"> <div class="home-publications-title"> A Table-to-Text Framework with Heterogeneous Multidominance Attention and Self-Evaluated Multi-Pass Deliberation </div> <div class="home-publications-date"> EMNLP 2023 </div> <div class="home-publications-introduce">  <span> <a href="/Research_Areas/index-view?id=56">Natural Language and Speech</a> <a href="https://aclanthology.org/2023.findings-emnlp.44.pdf" target="_blank"><i></i></a> </span> </div> </div> </li> <li class="col-md-6 col-xs-12"> <div class="tt"> <div class="home-publications-title"> Actively Supervised Clustering for Open Relation Extraction </div> <div class="home-publications-date"> ACL 2023 </div> <div class="home-publications-introduce">  <span> <a href="/Research_Areas/index-view?id=56">Natural Language and Speech</a> </span> </div> </div> </li> <li class="col-md-6 col-xs-12"> <div class="tt"> <div class="home-publications-title"> RE-Matching: A Fine-Grained Semantic Matching Method for Zero-Shot Relation Extraction </div> <div class="home-publications-date"> ACL 2023 </div> <div class="home-publications-introduce">  <span> <a href="/Research_Areas/index-view?id=56">Natural Language and Speech</a> </span> </div> </div> </li> <li class="col-md-6 col-xs-12"> <div class="tt"> <div class="home-publications-title"> Connectivity Patterns are Task Embeddings </div> <div class="home-publications-date"> ACL 2023 </div> <div class="home-publications-introduce">  <span> <a href="/Research_Areas/index-view?id=56">Natural Language and Speech</a> </span> </div> </div> </li> </ul> </ul> <a href="/publications" class="home-more"><em></em><span>MORE</span></a> </div> </div> <div class="content-info"> <div class="home-blog"> <div class="home-title">BLOG</div> <ul class="recommend-blog-info"> <ul class="row" pagesize="3"> <li class="col-md-4 col-sm-6 col-xs-12"> <a 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