{"id":623,"date":"2019-11-19T17:04:37","date_gmt":"2019-11-19T17:04:37","guid":{"rendered":"http:\/\/wp.lancs.ac.uk\/cfie\/?page_id=623"},"modified":"2021-03-18T19:32:49","modified_gmt":"2021-03-18T19:32:49","slug":"fincausal2020","status":"publish","type":"page","link":"http:\/\/wp.lancs.ac.uk\/cfie\/fincausal2020\/","title":{"rendered":"FinCausal 2020"},"content":{"rendered":"

The 1st Joint Workshop on Financial Narrative Processing and MultiLing Financial Summarisation (FNP-FNS 2020)<\/span><\/p>\n

FinCausal-2020 Shared Task: <\/strong>“Financial Document Causality Detection”<\/strong><\/span><\/h1>\n

To be held at The 28th International Conference on Computational Linguistics (COLING’2020)<\/a>, Barcelona, Spain [online] on 12 December 2020<\/strong>.<\/p>\n

FNP-FNS Online Running Instructions: <\/strong>http:\/\/wp.lancs.ac.uk\/cfie\/fnpfns-instructions\/<\/a>
\n<\/span><\/p>\n

Workshop Program:<\/span> Click here to see the workshop schedule<\/a><\/p>\n

Keynote speaker:<\/span> Dr Ana Gisbert, to join the talk: http:\/\/wp.lancs.ac.uk\/cfie\/keynote\/<\/a><\/p>\n

 <\/p>\n

TASK 1 – Leader board\u00a0<\/strong><\/span><\/h2>\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Team<\/td>\nF1 Score<\/td>\nRecall<\/td>\nPrecision<\/td>\n<\/tr>\n
LIORI<\/a><\/td>\n97.75 (1)<\/td>\n97.77 (1)<\/td>\n97.73 (1)<\/td>\n<\/tr>\n
UPB<\/a><\/td>\n97.55 (2)<\/td>\n97.59 (2)<\/td>\n97.53 (2)<\/td>\n<\/tr>\n
ProsperAMnet<\/a><\/td>\n97.23 (3)<\/td>\n97.20 (3)<\/td>\n97.28 (3)<\/td>\n<\/tr>\n
FiNLP<\/a><\/td>\n96.99 (4)<\/td>\n97.03 (4)<\/td>\n96.96 (4)<\/td>\n<\/tr>\n
DOMINO<\/a><\/td>\n96.12 (5)<\/td>\n96.06 (5)<\/td>\n96.19 (5)<\/td>\n<\/tr>\n
IITkgp<\/a><\/td>\n95.78 (6)<\/td>\n95.83 (6)<\/td>\n95.74 (6)<\/td>\n<\/tr>\n
LangResearchLab_NC<\/a><\/td>\n95.00 (7)<\/td>\n94.92 (7)<\/td>\n95.08 (7)<\/td>\n<\/tr>\n
NITK NLP<\/a><\/td>\n94.35 (8)<\/td>\n94.87 (8)<\/td>\n94.32 (8)<\/td>\n<\/tr>\n
Fraunhofer IAIS<\/a><\/td>\n94.29 (9)<\/td>\n94.76 (9)<\/td>\n94.20 (9)<\/td>\n<\/tr>\n
ISIKUN<\/a><\/td>\n93.09 (10)<\/td>\n94.33 (10)<\/td>\n93.89 (10)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

<\/h2>\n

TASK 2 – Leader board\u00a0<\/strong><\/span><\/h2>\n\n\n\n\n\n\n\n\n\n\n\n
Team<\/td>\nF1 Score<\/td>\nRecall<\/td>\nPrecision<\/td>\nExact match<\/td>\n<\/tr>\n
NTUNLPL<\/a><\/td>\n94.72 (1)<\/td>\n94.70 (1)<\/td>\n94.79 (1)<\/td>\n82.45 (1)<\/td>\n<\/tr>\n
GBe<\/a><\/td>\n94.66 (2)<\/td>\n94.66 (2)<\/td>\n94.67 (2)<\/td>\n73.67 (2)<\/td>\n<\/tr>\n
ProsperAMnet<\/td>\n83.71 (3)<\/td>\n83.63 (3)<\/td>\n83.92 (3)<\/td>\n70.38 (4)<\/td>\n<\/tr>\n
LIORI<\/td>\n82.60 (4)<\/td>\n82.80 (4)<\/td>\n82.48 (4)<\/td>\n70.53 (3)<\/td>\n<\/tr>\n
DOMINO<\/td>\n79.60 (5)<\/td>\n78.90 (5)<\/td>\n81.90 (5)<\/td>\n00.00 (7)<\/td>\n<\/tr>\n
Fraunhofer IAIS<\/td>\n76.00 (6)<\/td>\n74.89 (7)<\/td>\n79.95 (6)<\/td>\n19.12 (5)<\/td>\n<\/tr>\n
JDD<\/a><\/td>\n75.61 (7)<\/td>\n75.57 (6)<\/td>\n75.95 (7)<\/td>\n00.00 (7)<\/td>\n<\/tr>\n
UPB<\/td>\n73.10 (8)<\/td>\n72.14 (8)<\/td>\n75.61 (8)<\/td>\n18.34 (6)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

<\/h2>\n

Provisional Key Dates:<\/span><\/span><\/h2>\n