René's URL Explorer Experiment

Title: Daniel Hershcovich - Home Page

None	Daniel Hershcovich, דניאל הרשקוביץ

Links:

	https://www.facebook.com/daniel.hershcovich
	http://il.linkedin.com/in/danielhershcovich
	https://x.com/daniel_hers
	https://bsky.app/profile/danielhers.bsky.social
	https://goodreads.com/danielhers
	https://github.com/danielhers
	https://orcid.org/0000-0002-3966-8708
CoAStaL	http://coastalcph.github.io
Natural Language Processing section	https://di.ku.dk/english/research/nlp/
Department of Computer Science	https://di.ku.dk/english
University of Copenhagen, Denmark	https://www.ku.dk/english
Villum Experiment grant	https://villumfonden.dk/en/nyhed/transparent-fruit-flies-meaning-baby-cries
Aligning Multi-Agent Interactions for Sustainable Food Behaviour (AMAI)	https://amai-experiment.github.io/
Cultural Reasoning for Responsible Language Model Development (CuRe)	https://culturalreasoning.github.io/
Jens Bjerring-Hansen	https://nors.ku.dk/ansatte/?pure=da/persons/195540
Independent Research Fund Denmark Thematic Research on Artificial Intelligence	https://dff.dk/om-fonden/nyheder-og-presse/alle-nyheder/nyheder/2025/oktober/53-mio-kr-til-forskning-i-kunstig-intelligens/
Independent Research Fund Denmark	https://dff.dk/
Henrik Palmer Olsen	https://jura.ku.dk/ansatte/forskningsomraadet/?pure=da/persons/125061
Cultural Reasoning for Responsible Language Model Development (CuRe)	https://culturalreasoning.github.io/
Independent Research Fund Denmark Thematic Research on Artificial Intelligence	https://dff.dk/om-fonden/nyheder-og-presse/alle-nyheder/nyheder/2025/oktober/53-mio-kr-til-forskning-i-kunstig-intelligens/
Jens Bjerring-Hansen	https://nors.ku.dk/ansatte/?pure=da/persons/195540
Aligning Multi-Agent Interactions for Sustainable Food Behaviour (AMAI)	https://amai-experiment.github.io/
Villum Experiment	https://villumfonden.dk/en/nyhed/transparent-fruit-flies-meaning-baby-cries
Independent Research Fund Denmark	https://dff.dk/
Henrik Palmer Olsen	https://jura.ku.dk/ansatte/forskningsomraadet/?pure=da/persons/125061
Explainable Hybrid-AI for Computational Law and Accurate Legal Chatbots (XHAILe).	https://di.ku.dk/english/research/research-projects/xhaile/
Innovation Fund Denmark	https://innovationsfonden.dk/
Thomas Hildebrandt	https://di.ku.dk/Ansatte/?pure=da/persons/350259
Google Scholar	http://scholar.google.com/citations?user=479qIucAAAAJ
Semantic Scholar	https://www.semanticscholar.org/author/Daniel-Hershcovich/2086349
EACL 2026	https://2026.eacl.org/
EACL 2026	https://2026.eacl.org/
EACL 2026	https://2026.eacl.org/
EMNLP 2025	https://2025.emnlp.org/
bib	https://danielhers.github.io/mark.bib
proceedings	https://aclanthology.org/2025.emnlp-main.928/
preprint	https://arxiv.org/abs/2508.17855
abstract	https://danielhers.github.io
EMNLP 2025	https://2025.emnlp.org/
bib	https://danielhers.github.io/hapticcap.bib
proceedings	https://aclanthology.org/2025.findings-emnlp.781/
preprint	https://arxiv.org/abs/2507.13318
EMNLP 2025	https://2025.emnlp.org/
bib	https://danielhers.github.io/wine.bib
proceedings	https://aclanthology.org/2025.findings-emnlp.99/
preprint	https://arxiv.org/abs/2509.12961
abstract	https://danielhers.github.io
ACL 2025	https://2025.aclweb.org/
SAC Highlight	https://2025.aclweb.org/program/awards/
bib	https://danielhers.github.io/acl2025.bib
proceedings	https://aclanthology.org/2025.acl-long.1260/
preprint	https://arxiv.org/abs/2503.22610
abstract	https://danielhers.github.io
Information Processing & Management	https://www.sciencedirect.com/journal/information-processing-and-management
bib	https://danielhers.github.io/S030645732500041X.bib
online	https://authors.elsevier.com/c/1km49_6zz3-~99
pdf	https://danielhers.github.io/1-s2.0-S030645732500041X-main.pdf
abstract	https://danielhers.github.io
NAACL 2025	https://2025.naacl.org/
bib	https://danielhers.github.io/specializing.bib
proceedings	https://aclanthology.org/2025.naacl-long.162/
preprint	https://arxiv.org/abs/2502.07068
abstract	https://danielhers.github.io
NAACL 2025	https://2025.naacl.org/
bib	https://danielhers.github.io/mapotofu.bib
proceedings	https://aclanthology.org/2025.naacl-long.496/
preprint	https://arxiv.org/abs/2404.06833
abstract	https://danielhers.github.io
NAACL 2025	https://2025.naacl.org/
bib	https://danielhers.github.io/beyondwords.bib
proceedings	https://aclanthology.org/2025.findings-naacl.422/
preprint	https://arxiv.org/abs/2502.14906
abstract	https://danielhers.github.io
Scandinavian Studies	https://www.jstor.org/journal/scanstud
bib	https://danielhers.github.io/unhappy.bib
online	https://sca.uwpress.org/content/97/1/1
abstract	https://danielhers.github.io
NoDaLiDa/Baltic-HLT 2025	https://www.nodalida-bhlt2025.eu/
bib	https://danielhers.github.io/nodalida2025.bib
proceedings	https://aclanthology.org/2025.nodalida-1.1/
online	https://hdl.handle.net/10062/107192
abstract	https://danielhers.github.io
slides	https://danielhers.github.io/nodalida2025_slides.pdf
COLING 2025	https://coling2025.org/
proceedings	https://aclanthology.org/2025.coling-main.90/
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/death.bib
CHR 2024	https://2024.computational-humanities-research.org/
proceedings	https://ceur-ws.org/Vol-3834/paper19.pdf
abstract	https://danielhers.github.io
EMNLP 2024	https://2024.emnlp.org/
proceedings	https://aclanthology.org/2024.emnlp-main.1063/
preprint	https://arxiv.org/abs/2406.11030
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/foodieqa.bib
EMNLP 2024	https://2024.emnlp.org/
proceedings	https://aclanthology.org/2024.emnlp-main.196/
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/noise.bib
EMNLP 2024	https://2024.emnlp.org/
proceedings	https://aclanthology.org/2024.findings-emnlp.302/
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/unimeec.bib
EMNLP 2024	https://2024.emnlp.org/
proceedings	https://aclanthology.org/2024.emnlp-main.61/
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/carrot.bib
Human-Centered Large Language Modeling Workshop 2024	https://hucllm-workshop.github.io/
proceedings	https://aclanthology.org/2024.hucllm-1.5/
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/hucllm2024_vlm.bib
Workshop on Insights from Negative Results in NLP 2024	https://insights-workshop.github.io/2024/
proceedings	https://aclanthology.org/2024.insights-1.13/
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/amrfair.bib
Workshop on Innovative Use of NLP for Building Educational Applications 2024	https://sig-edu.org/bea/2024
Outstanding Paper Award	https://drive.google.com/file/d/1tt6r1CtxfOREsq7rYecjfhwRN4uAcKGZ/view
proceedings	https://aclanthology.org/2024.bea-1.29/
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/anki.bib
preprint	https://arxiv.org/abs/2310.19567
abstract	https://danielhers.github.io
MIT Press	https://direct.mit.edu/tacl/article/doi/10.1162/tacl_a_00682/124256
LREC-COLING 2024	https://lrec-coling-2024.org
proceedings	https://aclanthology.org/2024.lrec-main.431/
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/memobert.bib
EACL 2024	https://2024.eacl.org/
proceedings	https://aclanthology.org/2024.eacl-long.91/
preprint	https://arxiv.org/abs/2309.01606
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/geoencoder.bib
EACL 2024	https://2024.eacl.org/
proceedings	https://aclanthology.org/2024.findings-eacl.63/
preprint	http://arxiv.org/abs/2401.10352
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/cudialog.bib
TACL	https://transacl.org/
proceedings	https://aclanthology.org/2024.tacl-1.5/
MIT Press	https://direct.mit.edu/tacl/article/doi/10.1162/tacl_a_00634/119279/Cultural-Adaptation-of-Recipes
preprint	https://arxiv.org/abs/2310.17353
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/recipes.bib
EMNLP 2023	https://2023.emnlp.org/
proceedings	https://aclanthology.org/2023.findings-emnlp.845/
preprint	https://arxiv.org/abs/2310.06458
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/compass.bib
ACL Student Research Workshop (SRW) 2023	https://acl2023-srw.github.io/
proceedings	https://aclanthology.org/2023.acl-srw.30/
pdf	https://danielhers.github.io/hyperprobe.pdf
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/hyperprobe.bib
ACL 2023	https://2023.aclweb.org/
proceedings	https://aclanthology.org/2023.acl-long.93/
preprint	https://arxiv.org/abs/2306.11420
pdf	https://danielhers.github.io/mcwqr.pdf
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/mcwqr.bib
ACL 2023	https://2023.aclweb.org/
proceedings	https://aclanthology.org/2023.acl-long.489/
preprint	https://arxiv.org/abs/2305.19597
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/respectively.bib
ACL 2023	https://2023.aclweb.org/
Outstanding Paper Award	https://2023.aclweb.org/program/best_papers/
proceedings	https://aclanthology.org/2023.acl-long.697/
preprint	https://arxiv.org/abs/2305.08414
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/superhuman.bib
ACL 2023	https://2023.aclweb.org/
proceedings	https://aclanthology.org/2023.findings-acl.133/
preprint	https://arxiv.org/abs/2305.02118
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/kbqa_relation.bib
NoDaLiDa 2023	https://www.nodalida2023.fo/
proceedings	https://aclanthology.org/2023.nodalida-1.34/
preprint	https://openreview.net/pdf?id=dszKbb2GH3
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/nodalida2023.bib
C3NLP 2023	https://sites.google.com/view/c3nlp/home
proceedings	https://aclanthology.org/2023.c3nlp-1.2/
preprint	https://arxiv.org/abs/2303.17927
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/2023.c3nlp-1.2.bib
C3NLP 2023	https://sites.google.com/view/c3nlp/home
proceedings	https://aclanthology.org/2023.c3nlp-1.7/
preprint	https://arxiv.org/abs/2303.17466
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/2023.c3nlp-1.7.bib
EACL 2023	https://2023.eacl.org/
proceedings	https://aclanthology.org/2023.eacl-main.6/
pdf	https://danielhers.github.io/preregistration.pdf
preprint	https://arxiv.org/abs/2302.10086
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/preregistration.bib
slides	https://danielhers.github.io/eacl2023_preregistration_slides.pdf
poster	https://danielhers.github.io/eacl2023_preregistration_poster.pdf
Workshop on NLP for Positive Impact 2022	https://sites.google.com/view/nlp4positiveimpact
proceedings	https://aclanthology.org/2022.nlp4pi-1.5/
pdf	https://danielhers.github.io/sustainabletweets.pdf
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/2022.nlp4pi-1.5.bib
slides	https://danielhers.github.io/nlp4pi2022-sustainabletweets-slides.pdf
poster	https://danielhers.github.io/nlp4pi2022_sustainabletweets_poster.pdf
data	https://github.com/danielhers/sustainable-diet-arguments-twitter
EMNLP 2022	https://2022.emnlp.org/
proceedings	https://aclanthology.org/2022.findings-emnlp.112/
pdf	https://danielhers.github.io/amrlogic.pdf
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/2022.findings-emnlp.112.bib
code	https://github.com/nschrack/fusion
slides	https://danielhers.github.io/amrlogic_slides.pdf
poster	https://danielhers.github.io/amrlogic_poster.pdf
EMNLP 2022	https://2022.emnlp.org/
proceedings	https://aclanthology.org/2022.emnlp-main.159/
pdf	https://danielhers.github.io/green.pdf
preprint	https://arxiv.org/abs/2205.05071
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/2022.emnlp-main.159.bib
code	https://github.com/danielhers/climate-awareness-nlp
slides	https://danielhers.github.io/emnlp2022-climate-awareness-nlp-slides.pdf
TACL	https://transacl.org/
proceedings	https://aclanthology.org/2022.tacl-1.55/
MIT Press	https://direct.mit.edu/tacl/article/doi/10.1162/tacl_a_00499/112914/Compositional-Generalization-in-Multilingual
preprint	https://arxiv.org/abs/2108.03509
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/2022.tacl-1.55.bib
code and data	https://github.com/coastalcph/seq2sparql
NAACL 2022	https://2022.naacl.org/
proceedings	https://aclanthology.org/2022.naacl-main.359/
preprint	https://arxiv.org/abs/2204.10615
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/2022.naacl-main.359.bib
ICWSM 2022	https://www.icwsm.org/2022/
proceedings	https://ojs.aaai.org/index.php/ICWSM/article/view/19389/19161
preprint	https://arxiv.org/abs/2206.02661
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/taylor.bib
ACL 2022	https://2022.aclweb.org/
proceedings	https://aclanthology.org/2022.acl-long.482/
pdf	https://danielhers.github.io/xculture.pdf
preprint	https://arxiv.org/abs/2203.10020
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/2022.acl-long.482.bib
slides	https://danielhers.github.io/acl2022_xculture_slides.pdf
poster	https://danielhers.github.io/acl2022_xculture_poster.pdf
CHI 2022	https://chi2022.acm.org/
proceedings	https://dl.acm.org/doi/10.1145/3491102.3517434
preprint	https://arxiv.org/abs/2102.09761
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/inspiration.bib
CoNLL 2021	https://conll.org/2021
proceedings	https://aclanthology.org/2021.conll-1.19/
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/conll21-negation.bib
CoNLL 2021	https://conll.org/2021
proceedings	https://aclanthology.org/2021.conll-1.9/
preprint	https://arxiv.org/abs/2109.06129
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/conll21-color.bib
IWPT 2021	https://iwpt21.sigparse.org/
proceedings	https://aclanthology.org/2021.iwpt-1.7/
preprint	https://arxiv.org/abs/2106.02561
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/iwpt2021.bib
code	https://github.com/ruixiangcui/implicit_parser
MWE 2021	https://multiword.org/mwe2021/
proceedings	https://aclanthology.org/2021.mwe-1.6/
preprint	https://arxiv.org/abs/2004.15008
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/streusle-tagger.bib
code	https://github.com/nelson-liu/lexical-semantic-recognition
KI - Künstliche Intelligenz	https://link.springer.com/journal/13218
pdf	https://rdcu.be/cl0z3
online	http://link.springer.com/article/10.1007/s13218-021-00726-6
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/kisurvey.bib
MultiIndicMT Shared Task 2021	http://lotus.kuee.kyoto-u.ac.jp/WAT/indic-multilingual/
proceedings	https://aclanthology.org/2021.wat-1.24/
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/indic2021.bib
AmericasNLP Shared Task 2021	http://turing.iimas.unam.mx/americasnlp/index.html
proceedings	https://aclanthology.org/2021.americasnlp-1.28/
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/americasnlp2021.bib
Nature	https://www.nature.com/nature
pdf	https://eorder.sheridan.com/3_0/app/orders/11030/files/assets/common/downloads/Slonim.pdf
online	https://www.nature.com/articles/s41586-021-03215-w
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/debater.bib
website	https://www.research.ibm.com/artificial-intelligence/project-debater/
AAAI 2021	https://aaai.org/Conferences/AAAI-21
preprint	https://arxiv.org/abs/2010.05567
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/srl-coref-rl.bib
code	https://github.com/rahular/joint-coref-srl
DMR 2020	https://www.cs.brandeis.edu/~clp/dmr2020/
pdf	https://danielhers.github.io/dmr2020.pdf
proceedings	https://www.aclweb.org/anthology/2020.dmr-1.5/
preprint	https://arxiv.org/abs/2005.12889
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/dmr2020.bib
slides	https://danielhers.github.io/dmr2020_slides.pdf
data	https://github.com/ruixiangcui/UCCA-Refined-Implicit-EWT_English
COLING 2020	https://coling2020.org/
pdf	https://danielhers.github.io/streusle2ucca.pdf
proceedings	https://www.aclweb.org/anthology/2020.coling-main.264/
preprint	https://arxiv.org/abs/2011.00834
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/streusle2ucca.bib
poster	https://danielhers.github.io/streusle2ucca_poster.pdf
converter code	https://github.com/danielhers/streusle/tree/streusle2ucca
parser code	https://github.com/danielhers/hit-scir-ucca-parser
CoNLL 2020	https://www.conll.org/2020
pdf	https://danielhers.github.io/mrp2020.pdf
proceedings	https://www.aclweb.org/anthology/2020.conll-shared.1/
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/mrp2020.bib
slides	https://danielhers.github.io/mrp2020_slides.pdf
website	http://mrp.nlpl.eu/2020
CoNLL 2020	https://www.conll.org/2020
pdf	https://danielhers.github.io/huji-ku-mrp.pdf
preprint	https://arxiv.org/abs/2010.05710
proceedings	https://www.aclweb.org/anthology/2020.conll-shared.7/
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/huji-ku-mrp2020.bib
slides	https://danielhers.github.io/huji-ku-mrp_slides.pdf
TUPA code	https://github.com/danielhers/tupa/tree/mrp
HIT-SCIR code	https://github.com/ruixiangcui/hit-scir-mrp2020
multitask code	https://github.com/OfirArviv/hit-scir-mrp2020/tree/multitask
IWPT 2020 shared task	https://universaldependencies.org/iwpt20
pdf	https://danielhers.github.io/iwptst2020.pdf
preprint	https://arxiv.org/abs/2005.12094
proceedings	https://www.aclweb.org/anthology/2020.iwpt-1.25/
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/iwptst2020.bib
slides	https://danielhers.github.io/iwptst2020_slides.pdf
code	https://github.com/coastalcph/koepsala-parser
CoNLL 2019	https://www.conll.org/2019
pdf	http://svn.nlpl.eu/mrp/2019/public/overview.pdf
proceedings	https://www.aclweb.org/anthology/K19-2001
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/mrp2019.bib
slides	http://svn.nlpl.eu/mrp/2019/public/slides.pdf
website	http://mrp.nlpl.eu/2019
CoNLL 2019	https://www.conll.org/2019
pdf	https://danielhers.github.io/D19-6802.pdf
proceedings	https://www.aclweb.org/anthology/K19-2002
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/tupa-mrp.bib
poster	https://danielhers.github.io/tupa-mrp-poster.pdf
slides	https://danielhers.github.io/tupa-mrp-slides.pdf
code	https://github.com/danielhers/tupa/tree/mrp
EMNLP-IJCNLP 2019	https://emnlp-ijcnlp2019.org
pdf	https://danielhers.github.io/coref-rl.pdf
preprint	https://arxiv.org/abs/1909.02392
proceedings	https://www.aclweb.org/anthology/D19-1118
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/coref-rl.bib
code	https://github.com/rahular/coref-rl
ACL 2019	http://acl2019.org
pdf	https://danielhers.github.io/P19-1419.pdf
preprint	https://arxiv.org/abs/1905.05543
proceedings	https://www.aclweb.org/anthology/P19-1419
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/P19-1419.bib
slides	https://danielhers.github.io/cyber_slides.pdf
code	https://github.com/huji-nlp/cyber
ACL 2019	http://acl2019.org
pdf	https://danielhers.github.io/P19-1097.pdf
preprint	https://arxiv.org/abs/1908.08336
proceedings	https://www.aclweb.org/anthology/P19-1097
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/P19-1097.bib
SemEval 2019	http://alt.qcri.org/semeval2019
pdf	https://danielhers.github.io/S19-2001.pdf
preprint	https://arxiv.org/abs/1903.02953
proceedings	https://www.aclweb.org/anthology/S19-2001
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/S19-2001.bib
slides	https://danielhers.github.io/semeval2019_slides.pdf
website	https://competitions.codalab.org/competitions/19160
RepEval 2019	https://repeval2019.github.io
pdf	https://danielhers.github.io/W19-2009.pdf
preprint	https://arxiv.org/abs/1904.00669
proceedings	https://www.aclweb.org/anthology/W19-2009
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/interchangeability.bib
poster	https://danielhers.github.io/interchangeability_poster.pdf
slide	https://danielhers.github.io/interchangeability_poster_slide.pdf
code	https://github.com/danielhers/interchangeability
NAACL 2019	https://naacl2019.org
pdf	https://danielhers.github.io/N19-1047.pdf
preprint	https://arxiv.org/abs/1903.06494
proceedings	https://www.aclweb.org/anthology/N19-1047
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/divergences.bib
supplementary material	https://danielhers.github.io/N19-1047.Supplementary.pdf
poster	https://danielhers.github.io/divergences_poster.pdf
code	https://github.com/danielhers/synsem
data	https://github.com/UniversalConceptualCognitiveAnnotation/UCCA_English-EWT
source	https://github.com/danielhers/phd-papers
examples	https://danielhers.github.io/ucca/divergences.html
CoNLL 2018 UD Shared Task	http://universaldependencies.org/conll18
pdf	https://danielhers.github.io/K18-2010.pdf
preprint	https://arxiv.org/abs/1808.09354
proceedings	https://www.aclweb.org/anthology/K18-2010
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/k18-2010.bib
poster	https://danielhers.github.io/udst2018_poster.pdf
code	https://github.com/CoNLL-UD-2018/HUJI
source	https://github.com/danielhers/phd-papers
ACL 2018	http://acl2018.org
pdf	https://danielhers.github.io/P18-1035.pdf
preprint	https://arxiv.org/abs/1805.00287
proceedings	https://www.aclweb.org/anthology/P18-1035
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/p18-1035.bib
supplementary material	https://danielhers.github.io/P18-1035.Notes.pdf
poster	https://danielhers.github.io/acl2018_poster.pdf
code	https://github.com/danielhers/tupa
data	https://github.com/UniversalConceptualCognitiveAnnotation/UCCA_English-WSJ
source	https://github.com/danielhers/phd-papers
ACL 2017	http://acl2017.org
Outstanding Paper Award	https://acl2017.wordpress.com/2017/08/03/outstanding-and-best-papers-and-the-decision-process/
pdf	https://danielhers.github.io/P17-1104.pdf
preprint	https://arxiv.org/abs/1704.00552
proceedings	https://www.aclweb.org/anthology/P17-1104
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/P17-1104.bib
supplementary material	https://danielhers.github.io/P17-1104_supp.pdf
slides	https://danielhers.github.io/acl2017_slides.pdf
poster	https://danielhers.github.io/iscol2017_poster.pdf
code	https://github.com/huji-nlp/tupa
demo	https://github.com/huji-nlp/tupa-demo
data	https://github.com/UniversalConceptualCognitiveAnnotation
source	https://github.com/danielhers/phd-papers
NAACL HLT 2015	http://naacl.org/naacl-hlt-2015/
proceedings	https://www.aclweb.org/anthology/W15-0511
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/W15-0511.bib
COLING 2014	http://www.coling-2014.org/
proceedings	http://www.aclweb.org/anthology/C14-1141
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/C14-1141.bib
COLING 2014	http://www.coling-2014.org/
proceedings	http://www.aclweb.org/anthology/C14-2002
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/C14-2002.bib
Workshop on Argumentation Mining	https://www.uncg.edu/cmp/ArgMining2014/
ACL 2014	http://acl2014.org/
proceedings	http://anthology.aclweb.org/W14-2109
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/W14-2109.bib
DAC 2014	https://www.ieee.org/conferences_events/conferences/conferencedetails/index.html?Conf_ID=18068
pdf	http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6881385
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/2593241.bib
preprint	https://arxiv.org/abs/2402.06015
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/gpt4v-marvl.bib
preprint	https://arxiv.org/abs/2310.09772
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/gmr.bib
preprint	https://arxiv.org/abs/2101.12608
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/cognitive-mr.bib
code	https://github.com/mhany90/Structural_bias_brain
PhD dissertation, Hebrew University of Jerusalem	https://huji-primo.hosted.exlibrisgroup.com/permalink/f/att40d/972HUJI_ALMA21257777500003701
pdf	https://danielhers.github.io/thesis.pdf
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/thesis.bib
slides	https://danielhers.github.io/thesis_slides.pdf
source	https://github.com/danielhers/phd
COLING 2020 tutorial	https://coling2020.org/pages/tutorials
proceedings	https://www.aclweb.org/anthology/2020.coling-tutorials.1/
abstract	https://danielhers.github.io
bib	https://danielhers.github.io/2020.coling-tutorials.1.bib
slides	https://github.com/UniversalConceptualCognitiveAnnotation/tutorial
videos	https://github.com/UniversalConceptualCognitiveAnnotation/tutorial/releases/tag/coling2020
מתמטיקה ובינה מלאכותית גנרטיבית – יצירה, שפה וחדשנות בהוראה, כנס בהמכללה האקדמית גליל מערבי (05/2025)	https://wgalil.ac.il/ba/education_ba/math/math_8/
abstract	https://danielhers.github.io
slides pptx	https://danielhers.github.io/20250506_mathedu.pptx
abstract	https://danielhers.github.io
slides pptx	https://danielhers.github.io/20241206_ontoweb.pptx
Digital Tech Summit (10/2024)	https://event.ing.dk/dts2024
abstract	https://danielhers.github.io
slides pptx	https://danielhers.github.io/20241030_digital_tech_summit.pptx
slides pdf	https://danielhers.github.io/20241030_digital_tech_summit.pdf
Human-Centered Large Language Modeling Workshop (08/2024)	https://hucllm-workshop.github.io/
slides pptx	https://danielhers.github.io/hucllm_2024.pptx
abstract	https://danielhers.github.io
slides pptx	https://danielhers.github.io/20240228_manchester.pptx
abstract	https://danielhers.github.io
slides pptx	https://danielhers.github.io/20240219_ibm.pptx
Ministry of Culture, Denmark	https://kum.dk/english/
slides pptx	https://danielhers.github.io/20230908_kulturministeriet.pptx
Department of Food Science, University of Copenhagen	https://food.ku.dk/english/
abstract	https://danielhers.github.io
slides pdf	https://danielhers.github.io/food_20230614.pdf
slides pptx	https://danielhers.github.io/food_20230614.pptx
Forum on AI in foreign language programmes	https://cip.ku.dk/english/events/coming_events/baat-bot---ai-coming-through/
slides pdf	https://danielhers.github.io/cip_20230515.pdf
slides pptx	https://danielhers.github.io/cip_20230515.pptx
EACL 2023	https://2023.eacl.org/
Cross-Cultural Considerations in NLP	https://sites.google.com/view/c3nlp/home
abstract	https://danielhers.github.io
slides pdf	https://danielhers.github.io/c3nlp_2023.pdf
slides pptx	https://danielhers.github.io/c3nlp_2023.pptx
Sprogteknologisk Konference 2022	https://cst.ku.dk/kalender/sprogteknologisk-konference-2022/
Centre for Language Technology, University of Copenhagen	https://cst.ku.dk/english
abstract	https://danielhers.github.io
slides pdf	https://danielhers.github.io/sprogteknologisk-konference_20221130.pdf
slides pptx	https://danielhers.github.io/sprogteknologisk-konference_20221130.pptx
Research Seminar	https://cape.ku.dk/kalender/the-taste-of-change/
Center for Applied Ecological Thinking (CApE). University of Copenhagen	https://cape.ku.dk/
slides pdf	https://danielhers.github.io/cape_20221102.pdf
Workshop on Ten Years of BabelNet and Multilingual Neurosymbolic Natural Language Understanding	http://mousse-project.org/events/event-a5f3r5.html
Sapienza University of Rome	http://nlp.uniroma1.it/
slides pdf	https://danielhers.github.io/mousse_20220705.pdf
recording	https://youtu.be/Qu0UU3XvKkg?t=2302
SODAS-Climate meeting, University of Copenhagen	https://sodas.ku.dk/research/sodas-climate-social-data-science-towards-a-green-transition
slides pdf	https://danielhers.github.io/sodas_20220511.pdf
LIIR Journal Club, KU Leuven	https://liir-kuleuven.github.io/journal-club/reading/
slides pdf	https://danielhers.github.io/kuleuven_20220421.pdf
University of Haifa, Department of Information Systems	https://is-web.hevra.haifa.ac.il/
slides pdf	https://danielhers.github.io/haifa_20220330.pdf
IT University of Copenhagen	https://nlp.itu.dk/
slides pdf	https://danielhers.github.io/itu_20220315.pdf
Seminar	https://ifro.ku.dk/english/events/2021/seminar-4may2021/
slides pdf	https://danielhers.github.io/ifro_20210504.pdf
DIKU Bits	https://di.ku.dk/begivenhedsmappe/begivenheder-2020/diku-bits-daniel-hershcovich/
slides pdf	https://danielhers.github.io/dikubits_20200218.pdf
Seminar in Computational Linguistics	https://www.lingfil.uu.se/calendar/event/?eventId=49730
slides pdf	https://danielhers.github.io/uppsala_20191129.pdf
slides pdf	https://danielhers.github.io/georgetown_20190611.pdf
slides pdf	https://danielhers.github.io/tau2018_slides.pdf
slides pdf	https://danielhers.github.io/uw2017_slides.pdf
slides pdf	https://danielhers.github.io/technion2017_slides.pdf
Computer Science Learning Club	http://www.cs.huji.ac.il/news-and-events/seminars/learning-club
slides pdf	https://danielhers.github.io/learningclub2016_slides.pdf
ISCOL 2016	https://tce.technion.ac.il/events/iscol-2016/
slides pdf	https://danielhers.github.io/iscol2016_slides.pdf
Copenhagen Summer University course on Climate Friendly AI	https://continuing-education.ku.dk/artificial-intelligence/climate-friendly-ai/
2019	https://kurser.ku.dk/course/ndak18000u/2019-2020
2020	https://kurser.ku.dk/course/ndak18000u/2020-2021
2021	https://kurser.ku.dk/course/ndak18000u/2021-2022
2022	https://kurser.ku.dk/course/ndak18000u/2022-2023
2023	https://kurser.ku.dk/course/ndak18000u/2023-2024
materials	https://github.com/coastalcph/nlp-course
2023	https://kurser.ku.dk/course/ndak16003u/2022-2023
2024	https://kurser.ku.dk/course/ndak16003u/2023-2024
2020	https://kurser.ku.dk/course/ndab20000u/2020-2021
2014	http://moodle.huji.ac.il/hu14/course/view.php?id=67127
2015	http://moodle.huji.ac.il/hu15/course/view.php?id=67127
2016	http://moodle2.cs.huji.ac.il/nu16/course/view.php?id=67127
2017	https://moodle2.cs.huji.ac.il/nu17/course/view.php?id=67127
materials	https://github.com/danielhers/avnei_pina
NAACL 2025	https://2025.naacl.org/
EMNLP 2022	https://2022.emnlp.org/
HPLT & NLPL Winter School 2023	http://wiki.nlpl.eu/Community/training
ISCOL 2017	https://danielhers.github.io/iscol2017
SemEval 2019 Task 1 on Cross-lingual Semantic Parsing with UCCA	https://competitions.codalab.org/competitions/19160
CoNLL 2019 and 2020 shared tasks on Cross-Framework Meaning Representation Parsing	http://mrp.nlpl.eu
Cross-lingual Semantic Representation for NLP with UCCA	https://www.aclweb.org/anthology/2020.coling-tutorials.1/
COLING 2020	https://coling2020.org/
Künstliche Intelligenz Special Issue on NLP and Semantics	https://www.springer.com/journal/13218/updates/18109720
NAACL-HLT 2021	https://2021.naacl.org/
ACL-IJCNLP 2021	https://2021.aclweb.org/
*SEM 2021	https://sites.google.com/view/starsem2021
October 2021	https://openreview.net/group?id=aclweb.org/ACL/ARR/2021/October
2015	http://acl2015.org/
2016	http://mirror.aclweb.org/acl2016/
2017	http://acl2017.org/
2019	http://www.acl2019.org
2020	https://acl2020.org/
2022	https://2022.aclweb.org/
2023	https://2023.aclweb.org/
2018	https://emnlp2018.org/
Best Reviewer Award	https://www.aclweb.org/anthology/D18-1000.pdf
2019	https://www.emnlp-ijcnlp2019.org/
2020	https://2020.emnlp.org/
Outstanding Reviewer	https://www.aclweb.org/anthology/2020.emnlp-main.0.pdf
2023	https://2023.emnlp.org/
IJCNLP 2017	http://ijcnlp2017.org
2018	http://coling2018.org/
2020	https://coling2020.org/
2022	http://coling2022.org/
NAACL-HLT 2019	https://naacl2019.org/
2019	https://starsem.org/2019/
2020	https://sites.google.com/view/starsem2020
2022	https://sites.google.com/view/starsem2022
2019	https://www.cs.brandeis.edu/~clp/dmr/
2020	https://www.cs.brandeis.edu/~clp/dmr2020/
2023	https://dmr2023.github.io/
2019	https://nodalida2019.org/
2021	https://nodalida2021.github.io/
2023	https://nodalida2023.fo
EurNLP 2019	https://www.eurnlp.org/
AAAI 2020	https://aaai.org/Conferences/AAAI-20/
IJCAI 2020	https://www.ijcai20.org/
2020	https://iwpt20.sigparse.org/
2021	https://iwpt21.sigparse.org/
AACL-IJCNLP 2020	http://aacl2020.org/
2020	https://www.conll.org/2020
2022	https://conll.org/2022
2023	https://www.conll.org/2023
TLT 2020	https://tlt2020.phil.hhu.de/
EACL 2021	https://2021.eacl.org/
Computational Linguistics	http://cljournal.org/
Computer Speech & Language	https://www.journals.elsevier.com/computer-speech-and-language
Language Resources and Evaluation	https://www.springer.com/journal/10579
Visions of a Connected Future, roundtable on AI	https://m.youtube.com/watch?v=HdPcTtq5LMA
Copenhagen Institute for Futures Studies	https://cifs.dk/
Sustainable Diet Arguments on Twitter:	https://danielhers.github.io#sustainabletweets
Kunstig intelligens 'udvinder' god kommunikation om klimavenlige madvalg af 30.000 tweets	https://klimamonitor.dk/nyheder/art9168139/Kunstig-intelligens-udvinder-god-kommunikation-om-klimavenlige-madvalg-af-30.000-tweets
Forskere bruger AI til at få viden om bæredygtig kost på Twitter	https://csr.dk/forskere-bruger-ai-til-f%C3%A5-viden-om-b%C3%A6redygtig-kost-p%C3%A5-twitter
Nuggets mined from thousands of tweets can persuade us to eat more climate-friendly	https://science.ku.dk/english/press/news/2023/nuggets-mined-from-thousands-of-tweets-can-persuade-us-to-eat-more-climate-friendly/
Kunstig intelligens kan måle folkestemningen: Nyttigt for firmaer og politikere, men kan det misbruges?	https://videnskab.dk/teknologi/kunstig-intelligens-kan-maale-folkestemningen-nyttigt-for-firmaer-og-politikere-men-kan-det-misbruges/
University Of Copenhagen Researchers Demonstrate AI’s Role In Sustainable Food	https://indiaeducationdiary.in/university-of-copenhagen-researchers-demonstrate-ais-role-in-sustainable-food/
‘Argument mining’: Guldkorn fra tusindvis af tweets kan overbevise os om at spise mere klimavenligt	https://pov.international/argument-mining-koebenhavns-universitet/
Cultural Bias in ChatGPT:	https://danielhers.github.io#c3nlp_values
Samtalerobot er et redskab for amerikansk kulturimperialisme	https://politiken.dk/debat/klummer/jarlner/art9429359/Samtalerobot-er-et-redskab-for-amerikansk-kulturimperialisme
ChatGPT fremmer amerikanske normer og værdier	https://ekstrabladet.dk/nyheder/samfund/chatgpt-fremmer-amerikanske-normer-og-vaerdier/9856186
Studie: ChatGPT udbreder amerikanske normer	https://www.dr.dk/lyd/p1/p1-morgen/p1-morgen-2023-07-10
ChatGPT har amerikansk bias	https://www.tv2kosmopol.dk/nyhedsarkiv?date=2023-07-10&clip=634dda2b-8303-4527-aeff-a96418116135
Nyt studie: Populær chatbot promoverer amerikanske værdier og normer	https://borsen.dk/nyheder/ai/populaer-chatbot-promoverer-amerikanske-vaerdier-og-normer
Danish Researchers Look To AI For Sustainable Future	https://gradynewsource.uga.edu/danish-researchers-look-to-ai-for-sustainable-future/
Adjunkt i sprogmodeller: Ledere skal mindske risici for bias i "generativ AI"	https://techmanagement.dk/holdning/adjunkt-i-sprogmodeller-ledere-skal-mindske-risici-bias-i-generativ-ai
Kunstig intelligens kan få konspirationsteoretikere til at ændre holdning	https://videnskab.dk/teknologi/kunstig-intelligens-kan-faa-konspirationsteoretikere-til-at-aendre-holdning/
Japan (2015)	https://danielhers.github.io
Korea (2018)	https://danielhers.github.io
Department of Computer Science	https://di.ku.dk/english
University of Copenhagen	https://www.ku.dk/english
Use this template	https://github.com/danielhers/danielhers.github.io

Viewport: width=device-width, initial-scale=1.0

URLs of crawlers that visited me.