A Benchmark Dataset for Automatic Detection of Claims and Evidence in the Context of Controversial Topics. - Ehud Aharoni; Anatoly Polnarov; Tamar Lavee; Daniel Hershcovich; Ran Levy 001; Ruty Rinott; Dan Gutfreund; Noam Slonim (ArgMining@ACL, 2014)

Context Dependent Claim Detection. - Ran Levy 001; Yonatan Bilu; Daniel Hershcovich; Ehud Aharoni; Noam Slonim (COLING, 2014)

Claims on demand - an initial demonstration of a system for automatic detection and polarity identification of context dependent claims in massive corpora. - Noam Slonim; Ehud Aharoni; Carlos Alzate; Roy Bar-Haim; Yonatan Bilu; Lena Dankin; Iris Eiron; Daniel Hershcovich; Shay Hummel; Mitesh M. Khapra; Tamar Lavee; Ran Levy 001; et al. (COLING (Demos), 2014)

Verification of Transactional Memory in POWER8. - Allon Adir; Dave Goodman; Daniel Hershcovich; Oz Hershkovitz; Bryan G. Hickerson; Karen Holtz; Wisam Kadry; Anatoly Koyfman; John M. Ludden; Charles Meissner; Amir Nahir; Randall R. Pratt; et al. (DAC, 2014)

Automatic Claim Negation: Why, How and When. - Yonatan Bilu; Daniel Hershcovich; Noam Slonim (ArgMining@HLT-NAACL, 2015)

A Transition-Based Directed Acyclic Graph Parser for UCCA. - Daniel Hershcovich; Omri Abend; Ari Rappoport (ACL (1), 2017)

Multitask Parsing Across Semantic Representations. - Daniel Hershcovich; Omri Abend; Ari Rappoport (ACL (1), 2018)

Universal Dependency Parsing with a General Transition-Based DAG Parser. - Daniel Hershcovich; Omri Abend; Ari Rappoport (CoNLL Shared Task (2), 2018)

Argument Invention from First Principles. - Yonatan Bilu; Ariel Gera; Daniel Hershcovich; Benjamin Sznajder; Dan Lahav; Guy Moshkowich; Anael Malet; Assaf Gavron; Noam Slonim (ACL (1), 2019)

The Language of Legal and Illegal Activity on the Darknet. - Leshem Choshen; Dan Eldad; Daniel Hershcovich; Elior Sulem; Omri Abend (ACL (1), 2019)

TUPA at MRP 2019: A Multi-Task Baseline System. - Daniel Hershcovich; Ofir Arviv (CoNLL Shared Task, 2019)

MRP 2019: Cross-Framework Meaning Representation Parsing. - Stephan Oepen; Omri Abend; Jan Hajic; Daniel Hershcovich; Marco Kuhlmann; Tim O'Gorman; Nianwen Xue; Jayeol Chun; Milan Straka; Zdenka Uresová (CoNLL Shared Task, 2019)

Rewarding Coreference Resolvers for Being Consistent with World Knowledge. - Rahul Aralikatte; Heather C. Lent; Ana Valeria González-Garduño; Daniel Hershcovich; Chen Qiu 005; Anders Sandholm 001; Michael Ringaard; Anders Søgaard (EMNLP/IJCNLP (1), 2019)

Content Differences in Syntactic and Semantic Representation. - Daniel Hershcovich; Omri Abend; Ari Rappoport (NAACL-HLT (1), 2019)

SemEval-2019 Task 1: Cross-lingual Semantic Parsing with UCCA. - Daniel Hershcovich; Zohar Aizenbud; Leshem Choshen; Elior Sulem; Ari Rappoport; Omri Abend (SemEval@NAACL-HLT, 2019)

Content Differences in Syntactic and Semantic Representations. - Daniel Hershcovich; Omri Abend; Ari Rappoport (CoRR, 2019)

Syntactic Interchangeability in Word Embedding Models. - Daniel Hershcovich; Assaf Toledo; Alon Halfon; Noam Slonim (CoRR, 2019)

Universal semantic parsing with neural networks (שער נוסף בעברית: : ניתוח סמנטי אוניברסלי באמצעות רשתות נוירונים). - Daniel Hershcovich (2019)

Cross-lingual Semantic Representation for NLP with UCCA. - Omri Abend; Dotan Dvir; Daniel Hershcovich; Jakob Prange; Nathan Schneider 001 (COLING (Tutorial), 2020)

Comparison by Conversion: Reverse-Engineering UCCA from Syntax and Lexical Semantics. - Daniel Hershcovich; Nathan Schneider 001; Dotan Dvir; Jakob Prange; Miryam de Lhoneux; Omri Abend (COLING, 2020)

HUJI-KU at MRP 2020: Two Transition-based Neural Parsers. - Ofir Arviv; Ruixiang Cui; Daniel Hershcovich (CoNLL Shared Task, 2020)

MRP 2020: The Second Shared Task on Cross-Framework and Cross-Lingual Meaning Representation Parsing. - Stephan Oepen; Omri Abend; Lasha Abzianidze; Johan Bos; Jan Hajic; Daniel Hershcovich; Bin Li 052; Tim O'Gorman; Nianwen Xue; Daniel Zeman (CoNLL Shared Task, 2020)

Køpsala: Transition-Based Graph Parsing via Efficient Training and Effective Encoding. - Daniel Hershcovich; Miryam de Lhoneux; Artur Kulmizev; Elham Pejhan; Joakim Nivre (IWPT 2020, 2020)

Refining Implicit Argument Annotation For UCCA. - Ruixiang Cui; Daniel Hershcovich (CoRR, 2020)

Joint Semantic Analysis with Document-Level Cross-Task Coherence Rewards. - Rahul Aralikatte; Mostafa Abdou; Heather C. Lent; Daniel Hershcovich; Anders Søgaard (AAAI, 2021)

How far can we get with one GPU in 100 hours? CoAStaL at MultiIndicMT Shared Task. - Rahul Aralikatte; Héctor Ricardo Murrieta Bello; Daniel Hershcovich; Marcel Bollmann; Anders Søgaard (WAT@ACL/IJCNLP, 2021)

Can Language Models Encode Perceptual Structure Without Grounding? A Case Study in Color. - Mostafa Abdou; Artur Kulmizev; Daniel Hershcovich; Stella Frank; Ellie Pavlick; Anders Søgaard (CoNLL, 2021)

A Multilingual Benchmark for Probing Negation-Awareness with Minimal Pairs. - Mareike Hartmann; Miryam de Lhoneux; Daniel Hershcovich; Yova Kementchedjhieva; Lukas Nielsen; Chen Qiu 005; Anders Søgaard (CoNLL, 2021)

Lexical Semantic Recognition. - Nelson F. Liu; Daniel Hershcovich; Michael Kranzlein; Nathan Schneider 001 (MWE@ACL-IJCNLP, 2021)

Does injecting linguistic structure into language models lead to better alignment with brain recordings? - Mostafa Abdou; Ana Valeria González-Garduño; Mariya Toneva; Daniel Hershcovich; Anders Søgaard (CoRR, 2021)

Scaling Creative Inspiration with Fine-Grained Functional Facets of Product Ideas. - Tom Hope; Ronen Tamari; Hyeonsu B. Kang; Daniel Hershcovich; Joel Chan; Aniket Kittur; Dafna Shahaf (CoRR, 2021)

Great Service! Fine-grained Parsing of Implicit Arguments. - Ruixiang Cui; Daniel Hershcovich (CoRR, 2021)

Meaning Representation of Numeric Fused-Heads in UCCA. - Ruixiang Cui; Daniel Hershcovich (CoRR, 2021)

Multilingual Compositional Wikidata Questions. - Ruixiang Cui; Rahul Aralikatte; Heather C. Lent; Daniel Hershcovich (CoRR, 2021)

Special Issue on NLP & Semantics. - Daniel Hershcovich; Lucia Donatelli (Künstliche Intell., 2021)

It's the Meaning That Counts: The State of the Art in NLP and Semantics. - Daniel Hershcovich; Lucia Donatelli (Künstliche Intell., 2021)

Climbing the Hill of Computational Semantics. - Daniel Hershcovich; Lucia Donatelli (Künstliche Intell., 2021)

An autonomous debating system. - Noam Slonim; Yonatan Bilu; Carlos Alzate; Roy Bar-Haim; Ben Bogin; Francesca Bonin; Leshem Choshen; Edo Cohen-Karlik; Lena Dankin; Lilach Edelstein; Liat Ein-Dor; Roni Friedman-Melamed; et al. (Nat., 2021)

Challenges and Strategies in Cross-Cultural NLP. - Daniel Hershcovich; Stella Frank; Heather C. Lent; Miryam de Lhoneux; Mostafa Abdou; Stephanie Brandl; Emanuele Bugliarello; Laura Cabello Piqueras; Ilias Chalkidis; Ruixiang Cui; Constanza Fierro; Katerina Margatina; et al. (ACL (1), 2022)

Scaling Creative Inspiration with Fine-Grained Functional Aspects of Ideas. - Tom Hope; Ronen Tamari; Daniel Hershcovich; Hyeonsu B. Kang; Joel Chan; Aniket Kittur; Dafna Shahaf (CHI, 2022)

Towards Climate Awareness in NLP Research. - Daniel Hershcovich; Nicolas Webersinke; Mathias Kraus; Julia Anna Bingler; Markus Leippold (EMNLP, 2022)

Can AMR Assist Legal and Logical Reasoning? - Nikolaus Schrack; Ruixiang Cui; Hugo López; Daniel Hershcovich (EMNLP (Findings), 2022)

Evaluating Deep Taylor Decomposition for Reliability Assessment in the Wild. - Stephanie Brandl; Daniel Hershcovich; Anders Søgaard (ICWSM, 2022)

Generalized Quantifiers as a Source of Error in Multilingual NLU Benchmarks. - Ruixiang Cui; Daniel Hershcovich; Anders Søgaard (NAACL-HLT, 2022)

Compositional Generalization in Multilingual Semantic Parsing over Wikidata. - Ruixiang Cui; Rahul Aralikatte; Heather C. Lent; Daniel Hershcovich (Trans. Assoc. Comput. Linguistics, 2022)

Pay More Attention to Relation Exploration for Knowledge Base Question Answering. - Yong Cao 001; Xianzhi Li; Huiwen Liu; Wen Dai; Shuai Chen; Bin Wang; Min Chen 003; Daniel Hershcovich (ACL (Findings), 2023)

What does the Failure to Reason with "Respectively" in Zero/Few-Shot Settings Tell Us about Language Models? - Ruixiang Cui; Seolhwa Lee; Daniel Hershcovich; Anders Søgaard (ACL (1), 2023)

Probing for Hyperbole in Pre-Trained Language Models. - Nina Schneidermann; Daniel Hershcovich; Bolette S. Pedersen (ACL (student), 2023)

What's the Meaning of Superhuman Performance in Today's NLU? - Simone Tedeschi; Johan Bos; Thierry Declerck; Jan Hajic; Daniel Hershcovich; Eduard H. Hovy; Alexander Koller; Simon Krek; Steven Schockaert; Rico Sennrich; Ekaterina Shutova; Roberto Navigli (ACL (1), 2023)

On Evaluating Multilingual Compositional Generalization with Translated Datasets. - Zi Wang; Daniel Hershcovich (ACL (1), 2023)

A Two-Sided Discussion of Preregistration of NLP Research. - Anders Søgaard; Daniel Hershcovich; Miryam de Lhoneux (EACL, 2023)

Cultural Compass: Predicting Transfer Learning Success in Offensive Language Detection with Cultural Features. - Li Zhou 010; Antonia Karamolegkou; Wenyu Chen 001; Daniel Hershcovich (EMNLP (Findings), 2023)

Sentiment Classification of Historical Danish and Norwegian Literary Texts. - Ali Allaith; Kirstine Degn; Alexander Conroy; Bolette S. Pedersen; Jens Bjerring-Hansen; Daniel Hershcovich (NoDaLiDa, 2023)

Assessing Cross-Cultural Alignment between ChatGPT and Human Societies: An Empirical Study. - Yong Cao 001; Li Zhou 010; Seolhwa Lee; Laura Cabello; Min Chen 003; Daniel Hershcovich (CoRR, 2023)

Cross-Cultural Transfer Learning for Chinese Offensive Language Detection. - Li Zhou 010; Laura Cabello; Yong Cao 001; Daniel Hershcovich (CoRR, 2023)

Revisiting Graph Meaning Representations through Decoupling Contextual Representation Learning and Structural Information Propagation. - Li Zhou 010; Wenyu Chen 001; Dingyi Zeng; Hong Qu; Daniel Hershcovich (CoRR, 2023)

CreoleVal: Multilingual Multitask Benchmarks for Creoles. - Heather C. Lent; Kushal Tatariya; Raj Dabre; Yiyi Chen 002; Marcell Fekete; Esther Ploeger; Li Zhou 010; Hans Erik Heje; Diptesh Kanojia; Paul Belony; Marcel Bollmann; Loïc Grobol; et al. (CoRR, 2023)

Automated Sentence Generation for a Spaced Repetition Software. - Benjamin Paddags; Daniel Hershcovich; Valkyrie Savage (BEA, 2024)

Literary Time Travel: Distinguishing Past and Contemporary Worlds in Danish and Norwegian Fiction. - Jens Bjerring-Hansen; Ali Al-Laith; Daniel Hershcovich; Alexander Conroy; Sebastian Ørtoft Rasmussen (CHR, 2024)

Development and Evaluation of Pre-trained Language Models for Historical Danish and Norwegian Literary Texts. - Ali Allaith; Alexander Conroy; Jens Bjerring-Hansen; Daniel Hershcovich (LREC/COLING, 2024)

Bridging Cultural Nuances in Dialogue Agents through Cultural Value Surveys. - Yong Cao 001; Min Chen 003; Daniel Hershcovich (EACL (Findings), 2024)

Geo-Encoder: A Chunk-Argument Bi-Encoder Framework for Chinese Geographic Re-Ranking. - Yong Cao 001; Ruixue Ding; Boli Chen; Xianzhi Li; Min Chen 003; Daniel Hershcovich; Pengjun Xie; Fei Huang 002 (EACL (1), 2024)

Noise, Novels, Numbers. A Framework for Detecting and Categorizing Noise in Danish and Norwegian Literature. - Ali Al-Laith; Daniel Hershcovich; Jens Bjerring-Hansen; Jakob Parby; Alexander Conroy; Timothy Tangherlini (EMNLP, 2024)

Bridging Cultures in the Kitchen: A Framework and Benchmark for Cross-Cultural Recipe Retrieval. - Tianyi Hu; Maria Maistro; Daniel Hershcovich (EMNLP, 2024)

UniMEEC: Towards Unified Multimodal Emotion Recognition and Emotion Cause. - Guimin Hu; Zhihong Zhu; Daniel Hershcovich; Lijie Hu; Hasti Seifi; Jiayuan Xie (EMNLP (Findings), 2024)

FoodieQA: A Multimodal Dataset for Fine-Grained Understanding of Chinese Food Culture. - Wenyan Li 001; Xinyu Zhang 018; Jiaang Li 002; Qiwei Peng 003; Raphael Tang; Li Zhou 010; Weijia Zhang 004; Guimin Hu; Yifei Yuan 002; Anders Søgaard; Daniel Hershcovich; Desmond Elliott (EMNLP, 2024)

Exploring Visual Culture Awareness in GPT-4V: A Comprehensive Probing. - Yong Cao 001; Wenyan Li 001; Jiaang Li 002; Yifei Yuan 002; Antonia Karamolegkou; Daniel Hershcovich (CoRR, 2024)

UniMEEC: Towards Unified Multimodal Emotion Recognition and Emotion Cause. - Guimin Hu; Zhihong Zhu; Daniel Hershcovich; Hasti Seifi; Jiayuan Xie (CoRR, 2024)

Does Mapo Tofu Contain Coffee? Probing LLMs for Food-related Cultural Knowledge. - Li Zhou 010; Taelin Karidi; Nicolas Garneau; Yong Cao 001; Wanlong Liu; Wenyu Chen 001; Daniel Hershcovich (CoRR, 2024)

Vision-Language Models under Cultural and Inclusive Considerations. - Antonia Karamolegkou; Phillip Rust; Yong Cao 001; Ruixiang Cui; Anders Søgaard; Daniel Hershcovich (CoRR, 2024)

Cultural Adaptation of Recipes. - Yong Cao 001; Yova Kementchedjhieva; Ruixiang Cui; Antonia Karamolegkou; Li Zhou 010; Megan Dare; Lucia Donatelli; Daniel Hershcovich (Trans. Assoc. Comput. Linguistics, 2024)

CreoleVal: Multilingual Multitask Benchmarks for Creoles. - Heather C. Lent; Kushal Tatariya; Raj Dabre; Yiyi Chen 002; Marcell Fekete; Esther Ploeger; Li Zhou 010; Ruth-Ann Armstrong; Abee Eijansantos; Catriona Malau; Hans Erik Heje; Ernests Lavrinovics; et al. (Trans. Assoc. Comput. Linguistics, 2024)

Evaluating Multimodal Language Models as Visual Assistants for Visually Impaired Users. - Antonia Karamolegkou; Malvina Nikandrou; Georgios Pantazopoulos; Danae Sanchez Villegas; Phillip Rust; Ruchira Dhar; Daniel Hershcovich; Anders Søgaard (ACL (1), 2025)

Dying or Departing? Euphemism Detection for Death Discourse in Historical Texts. - Ali Al-Laith; Alexander Conroy; Jens Bjerring-Hansen; Bolette S. Pedersen; Carsten Levisen; Daniel Hershcovich (COLING, 2025)

Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations. - Yong Cao 001; Haijiang Liu; Arnav Arora; Isabelle Augenstein; Paul Röttger; Daniel Hershcovich (NAACL (Long Papers), 2025)

Beyond Words: Exploring Cultural Value Sensitivity in Multimodal Models. - Srishti Yadav; Zhi Zhang 009; Daniel Hershcovich; Ekaterina Shutova (NAACL (Findings), 2025)

Does Mapo Tofu Contain Coffee? Probing LLMs for Food-related Cultural Knowledge. - Li Zhou 010; Taelin Karidi; Wanlong Liu; Nicolas Garneau; Yong Cao 001; Wenyu Chen 001; Haizhou Li 001; Daniel Hershcovich (NAACL (Long Papers), 2025)

Towards realistic evaluation of cultural value alignment in large language models: Diversity enhancement for survey response simulation. - Haijiang Liu; Yong Cao 001; Xun Wu; Chen Qiu 005; Jinguang Gu; Maofu Liu; Daniel Hershcovich (Inf. Process. Manag., 2025)

Large Language Models Penetration in Scholarly Writing and Peer Review. - Li Zhou 010; Ruijie Zhang; Xunlian Dai; Daniel Hershcovich; Haizhou Li 001 (CoRR, 2025)

RAVENEA: A Benchmark for Multimodal Retrieval-Augmented Visual Culture Understanding. - Jiaang Li 002; Yifei Yuan 002; Wenyan Li 001; Mohammad Aliannejadi; Daniel Hershcovich; Anders Søgaard; Ivan Vulic; Wenxuan Zhang 001; Paul Pu Liang; Yang Deng 002; Serge J. Belongie (CoRR, 2025)

Cultural Evaluations of Vision-Language Models Have a Lot to Learn from Cultural Theory. - Srishti Yadav; Lauren Tilton; Maria Antoniak; Taylor Arnold; Jiaang Li 002; Siddhesh Pawar; Antonia Karamolegkou; Stella Frank; Zhaochong An; Negar Rostamzadeh; Daniel Hershcovich; Serge J. Belongie; et al. (CoRR, 2025)

HapticCap: A Multimodal Dataset and Task for Understanding User Experience of Vibration Haptic Signals. - Guimin Hu; Daniel Hershcovich; Hasti Seifi (CoRR, 2025)

Culinary Crossroads: A RAG Framework for Enhancing Diversity in Cross-Cultural Recipe Adaptation. - Tianyi Hu; Andrea Morales-Garzón; Jingyi Zheng; Maria Maistro; Daniel Hershcovich (CoRR, 2025)

HapticLLaMA: A Multimodal Sensory Language Model for Haptic Captioning. - Guimin Hu; Daniel Hershcovich; Hasti Seifi (CoRR, 2025)