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corpipe26-onestage-corefud1.4-large-260702 Modelcorpipe26-onestage-corefud1.4-large-260702 is a mT5-large-based multilingual model for
coreference resolution usable in CorPipe 26 https://github.com/ufal/crac2026-corpipe.
It is released on LINDAT/CLARIAH-CZ and on
HuggingFace under the CC BY-NC-SA 4.0 license.
The model is downloaded automatically from HuggingFace when running prediction with
the --load ufal/corpipe26-onestage-corefud1.4-large-260702 argument.mT5 language; for zero-shot cross-lingual evaluation,
please refer to the CRAC 2026 paper.1tbs="ca_ancora cs_pcedt cs_pdt cs_pdtsc cu_proiel de_potsdamcc en_fantasycoref en_gum en_litbank es_ancora fr_ancor fr_democrat fr_litbankfr grc_proiel hbo_ptnk hi_hdtb hu_korkor hu_szegedkoref ko_ecmt la_coreflat lt_lcc nl_openboek no_bokmaalnarc no_nynorsknarc pl_pcc ru_rucor tr_itcc"
2
3python3 corpipe26_onestage.py --train --dev --treebanks $(for c in $tbs; do echo data-onestage/$c/$c-corefud-train.conllu; done) --batch_size=8 --learning_rate=6e-4 --learning_rate_decay --adafactor --encoder=google/mt5-large --exp=corpipe26-onestage-corefud1.4-large --compilecu_proiel and
grc_proiel where it was 512:| avg | ca | cs_pce | cs_pdt | cs_pdts | cu | de | en_fan | en_gum | en_lit | es | fr_anc | fr_dem | fr_lit | grc | hbo | hi | hu_kor | hu_sze | ko | la | lt_lcc | nl | no_bok | no_nyn | pl | ru | tr |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 72.51 | 80.2 | 76.0 | 77.4 | 73.0 | 61.4 | 72.6 | 75.1 | 73.0 | 79.2 | 81.8 | 70.1 | 69.9 | 75.5 | 70.7 | 67.0 | 75.9 | 65.9 | 68.1 | 69.1 | 55.3 | 74.8 | 69.9 | 74.7 | 73.3 | 77.6 | 80.0 | 70.2 |
1curl -F data="Susan came home and Martin greeted her there. Then Martin and Paul left for a trip and Susan waved them off." \
2 -F model=english -F tokenizer= -F tagger= -F parser= https://lindat.mff.cuni.cz/services/udpipe/api/process \
3 | python -X utf8 -c "import sys,json; sys.stdout.write(json.load(sys.stdin)['result'])" >input.conllupython3 corpipe26_onestage.py --load ufal/corpipe26-onestage-corefud1.4-large-260702 --exp . --epoch 0 --test input.conlluinput.00.conllu:# generator = UDPipe 2, https://lindat.mff.cuni.cz/services/udpipe
# udpipe_model = english-ewt-ud-2.17-251125
# udpipe_model_licence = CC BY-NC-SA
# newdoc
# global.Entity = eid-etype-head-other
# newpar
# sent_id = 1
# text = Susan came home and Martin greeted her there.
1 Susan Susan PROPN NNP Number=Sing 2 nsubj _ Entity=(c1--1)
2 came come VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 0 root _ _
3 home home ADV RB _ 2 advmod _ Entity=(c2--1)
4 and and CCONJ CC _ 6 cc _ _
5 Martin Martin PROPN NNP Number=Sing 6 nsubj _ Entity=(c3--1)
6 greeted greet VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 2 conj _ _
7 her she PRON PRP Case=Acc|Gender=Fem|Number=Sing|Person=3|PronType=Prs 6 obj _ Entity=(c1--1)
8 there there ADV RB PronType=Dem 6 advmod _ Entity=(c2--1)|SpaceAfter=No
9 . . PUNCT . _ 2 punct _ _
# sent_id = 2
# text = Then Martin and Paul left for a trip and Susan waved them off.
1 Then then ADV RB PronType=Dem 5 advmod _ _
2 Martin Martin PROPN NNP Number=Sing 5 nsubj _ Entity=(c4--1(c3--1)
3 and and CCONJ CC _ 4 cc _ _
4 Paul Paul PROPN NNP Number=Sing 2 conj _ Entity=(c5--1)c4)
5 left leave VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 0 root _ _
6 for for ADP IN _ 8 case _ _
7 a a DET DT Definite=Ind|PronType=Art 8 det _ _
8 trip trip NOUN NN Number=Sing 5 obl _ _
9 and and CCONJ CC _ 11 cc _ _
10 Susan Susan PROPN NNP Number=Sing 11 nsubj _ Entity=(c1--1)
11 waved wave VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 5 conj _ _
12 them they PRON PRP Case=Acc|Number=Plur|Person=3|PronType=Prs 11 obj _ Entity=(c4--1)
13 off off ADP RP _ 11 compound:prt _ SpaceAfter=No
14 . . PUNCT . _ 5 punct _ SpaceAfter=No
@inproceedings{straka-2026-corpipe,
title = "{C}or{P}ipe at {CRAC} 2026: Empty Nodes and Cross-Lingual Transfer in Multilingual Coreference Resolution",
author = "Straka, Milan",
editor = "Braud, Chlo{\'e} and Hardmeier, Christian and Ogrodniczuk, Maciej and Loaiciga, Sharid and
Zeldes, Amir and Nov{\'a}k, Michal and Li, Chuyuan and Strube, Michael and Li, Junyi Jessy",
booktitle = "Proceedings of the 2nd Joint Workshop on Computational Approaches to Discourse, Context and
Document-Level Inferences and Computational Models of Reference, Anaphora and Coreference ({CODI}-{CRAC} 2026)",
month = jul,
year = "2026",
address = "San Diego, California, USA",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2026.codi-1.27/",
doi = "10.18653/v1/2026.codi-1.27",
pages = "205--216",
ISBN = "979-8-89176-400-2"
}