8️⃣ 𝗟𝗟𝗠𝘀 𝗮𝘀 𝗖𝘂𝗹𝘁𝘂𝗿𝗮𝗹 𝗔𝗿𝗰𝗵𝗶𝘃𝗲𝘀: 𝗖𝘂𝗹𝘁𝘂𝗿𝗮𝗹 𝗖𝗼𝗺𝗺𝗼𝗻𝘀𝗲𝗻𝘀𝗲 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗚𝗿𝗮𝗽𝗵 𝗘𝘅𝘁𝗿𝗮𝗰𝘁𝗶𝗼𝗻
Junior Cedric Tonga, Chen Cecilia Liu, Iryna Gurevych, Fajri Koto
9️⃣ 𝗔𝗜𝗖𝗗 𝗕𝗲𝗻𝗰𝗵: 𝗔 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗶𝗻𝗴 𝗕𝗲𝗻𝗰𝗵𝗺𝗮𝗿𝗸 𝗳𝗼𝗿 𝗔𝗜-𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗲𝗱 𝗖𝗼𝗱𝗲 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻
Daniil Orel, Dilshod Azizov, Indraneil Paul, Yuxia Wang, Iryna Gurevych, Preslav Nakov
🔬 The accepted papers span a broad range of current #NLP research, including 𝗱𝗲𝗻𝘀𝗲 𝗿𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹, 𝗯𝗶𝗮𝘀 𝗮𝗻𝗱 𝗾𝘂𝗮𝗻𝘁𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗶𝗻 𝗟𝗟𝗠𝘀, 𝗰𝘂𝗹𝘁𝘂𝗿𝗮𝗹 𝗮𝗻𝗱 𝗲𝗺𝗼𝘁𝗶𝗼𝗻𝗮𝗹 𝘀𝗲𝗻𝘀𝗶𝘁𝗶𝘃𝗶𝘁𝘆, 𝗺𝗼𝗱𝗲𝗹 𝘂𝗻𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴, 𝗽𝗲𝗲𝗿 𝗿𝗲𝘃𝗶𝗲𝘄 𝗮𝗻𝗱 𝘀𝗰𝗵𝗼𝗹𝗮𝗿𝗹𝘆 𝗳𝗲𝗲𝗱𝗯𝗮𝗰𝗸, and 𝗔𝗜-𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗲𝗱 𝗰𝗼𝗱𝗲 𝗱𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻.
1️⃣ 𝗚𝗥𝗜𝗧𝗛𝗼𝗽𝗽𝗲𝗿: 𝗗𝗲𝗰𝗼𝗺𝗽𝗼𝘀𝗶𝘁𝗶𝗼𝗻-𝗙𝗿𝗲𝗲 𝗠𝘂𝗹𝘁𝗶-𝗛𝗼𝗽 𝗗𝗲𝗻𝘀𝗲 𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹
Justus-Jonas Erker, Nils Reimers, Iryna Gurevych
2️⃣ 𝗛𝗼𝘄 𝗤𝘂𝗮𝗻𝘁𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗦𝗵𝗮𝗽𝗲𝘀 𝗕𝗶𝗮𝘀 𝗶𝗻 𝗟𝗮𝗿𝗴𝗲 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹𝘀
Federico Marcuzzi, Xuefei Ning, Roy Schwartz, Iryna Gurevych
3️⃣ 𝗧𝗮𝗶𝗹𝗼𝗿𝗲𝗱 𝗘𝗺𝗼𝘁𝗶𝗼𝗻𝗮𝗹 𝗟𝗟𝗠-𝗦𝘂𝗽𝗽𝗼𝗿𝘁𝗲𝗿: 𝗘𝗻𝗵𝗮𝗻𝗰𝗶𝗻𝗴 𝗖𝘂𝗹𝘁𝘂𝗿𝗮𝗹 𝗦𝗲𝗻𝘀𝗶𝘁𝗶𝘃𝗶𝘁𝘆
Chen Cecilia Liu, Hiba Arnaout, Nils Kovacic, Dana Atzil-Slonim, Iryna Gurevych
4️⃣ 𝗔𝘂𝗱𝗶𝘁𝗶𝗻𝗴 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹 𝗨𝗻𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝘃𝗶𝗮 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 𝗗𝗲𝗰𝗼𝗺𝗽𝗼𝘀𝗶𝘁𝗶𝗼𝗻
Anmol Goel, Alan Ritter, Iryna Gurevych
5️⃣ 𝗕𝗲𝘆𝗼𝗻𝗱 “𝗡𝗼𝘁 𝗡𝗼𝘃𝗲𝗹 𝗘𝗻𝗼𝘂𝗴𝗵”: 𝗘𝗻𝗿𝗶𝗰𝗵𝗶𝗻𝗴 𝗦𝗰𝗵𝗼𝗹𝗮𝗿𝗹𝘆 𝗖𝗿𝗶𝘁𝗶𝗾𝘂𝗲 𝘄𝗶𝘁𝗵 𝗟𝗟𝗠-𝗔𝘀𝘀𝗶𝘀𝘁𝗲𝗱 𝗙𝗲𝗲𝗱𝗯𝗮𝗰𝗸
Osama Mohammed Afzal, Preslav Nakov, Tom Hope, Iryna Gurevych
6️⃣ 𝗔𝗕𝗖𝗗-𝗟𝗜𝗡𝗞: 𝗔𝗻𝗻𝗼𝘁𝗮𝘁𝗶𝗼𝗻 𝗕𝗼𝗼𝘁𝘀𝘁𝗿𝗮𝗽𝗽𝗶𝗻𝗴 𝗳𝗼𝗿 𝗖𝗿𝗼𝘀𝘀-𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁 𝗙𝗶𝗻𝗲-𝗚𝗿𝗮𝗶𝗻𝗲𝗱 𝗟𝗶𝗻𝗸𝘀
Serwar Basch, Ilia Kuznetsov, Tom Hope, Iryna Gurevych
7️⃣ 𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻-𝗠𝗮𝗸𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗗𝗲𝗹𝗶𝗯𝗲𝗿𝗮𝘁𝗶𝗼𝗻: 𝗠𝗲𝘁𝗮-𝗿𝗲𝘃𝗶𝗲𝘄𝗶𝗻𝗴 𝗮𝘀 𝗮 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁-𝗴𝗿𝗼𝘂𝗻𝗱𝗲𝗱 𝗗𝗶𝗮𝗹𝗼𝗴𝘂𝗲
Sukannya Purkayastha, Nils Dycke, Anne Lauscher, Iryna Gurevych
8️⃣ 𝗟𝗟𝗠𝘀 𝗮𝘀 𝗖𝘂𝗹𝘁𝘂𝗿𝗮𝗹 𝗔𝗿𝗰𝗵𝗶𝘃𝗲𝘀: 𝗖𝘂𝗹𝘁𝘂𝗿𝗮𝗹 𝗖𝗼𝗺𝗺𝗼𝗻𝘀𝗲𝗻𝘀𝗲 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗚𝗿𝗮𝗽𝗵 𝗘𝘅𝘁𝗿𝗮𝗰𝘁𝗶𝗼𝗻
Junior Cedric Tonga, Chen Cecilia Liu, Iryna Gurevych, Fajri Koto
9️⃣ 𝗔𝗜𝗖𝗗 𝗕𝗲𝗻𝗰𝗵: 𝗔 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗶𝗻𝗴 𝗕𝗲𝗻𝗰𝗵𝗺𝗮𝗿𝗸 𝗳𝗼𝗿 𝗔𝗜-𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗲𝗱 𝗖𝗼𝗱𝗲 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻
Daniil Orel, Dilshod Azizov, Indraneil Paul, Yuxia Wang, Iryna Gurevych, Preslav Nakov
