text: <html>
          <head> <meta charset="UTF-8">
          <style>
          table, th, td {
              border: 1px solid black;
              font-size: 10px;
          }
          </style> </head>
          <body>
          <table frame="hsides" rules="groups" width="100%%">
              [html]<thead><tr><td>ysis Methods in veural Language rtocessil A Survey. Transactions of the Association β Computational Linguistics, 7 : 49 – 72.</td><td>Eyal Ben - David, Carmel Rabinovitz, and Roi Fichart. 2020, PERL : Pivot - based Domain Adation for Pre - trained Deep Contextualized E bedding Models. arXiv : 2006.09075 [ cs ].</td><td>Rishi Bommasani, Kelly Davis, and Claire Carc 2020. Interpreting Pretrained Contextualiz Representations via Reductions to Static E beddings. In Proceedings of the 50th Amn Meeting of the Association Jor Comparation</td><td>Zird Bouraoui, Jose Camacho - Collados, a Sieven Schockaer, 2019. Inducing Relation Knowledge from BERT. arXiv : 1911.127 Joj.</td></tr></thead><tbody><tr><td>Samuel Broscheit. 2019. Investigating Ent Knowledge in BERT with Simple Neural Ea</td></tr><tr></tr><tr></tr><tr></tr><tr></tr><tr></tr><tr></tr><tr></tr><tr></tr><tr></tr><tr></tr><tr></tr><tr></tr><tr></tr><tr></tr><tr></tr><tr></tr><tr></tr><tr></tr></tbody>
          </table> </body> </html>