Publications (by Topic)

AI for Neuroscience
2025- “Human and LLM Judgments of Cognitive Impairment from Language: An Explainable AI Approach.” Lotem Peled-Cohen (*), Maya Zadok(*), Nitay Calderon, Hila Gonen, Michal Schnaider Beeri, Roi Reichart. (*) – Authors contributed equally to the manuscript. Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring .
2025- “The Temporal Structure of Language Processing in the Human Brain Corresponds to The Layered Hierarchy of Deep Language Models.” Ariel Goldstein, Eric Ham, Mariano Schain, Samuel A. Nastase, Bobbi Aubrey, Zaid Zada, Avigail Grinstein-Dabush, Harshvardhan Gazula, Amir Feder, Werner Doyle, Sasha Devore, Patricia Dugan, Daniel Friedman, Michael Brenner, Avinatan Hassidim, Yossi Matias, Orrin Devinsky, Noam Siegelman, Adeen Flinker, Omer Levy, Roi Reichart and Uri Hasson . Nature Communications. [Paper: Journal Page]
2025 – “A Systematic Review of NLP for Dementia- Tasks, Datasets and Opportunities.” Lotem Peled-Cohen and Roi Reichart. Transactions of the ACL (TACL). [Paper: arXiv]
2025 – “Dementia Through Different Eyes: Explainable Modeling of Human and LLM Perceptions for Early Awareness.” Lotem Peled-Cohen, Maya Zadok, Nitay Calderon, Hila Gonen and Roi Reichart. EMNLP 2025 (Findings). [Paper: pdf (arXiv)]
2024 – “Incremental accumulation of linguistic context in artificial and biological neural networks.” Refael Tikochinski, Ariel Goldstein, Yoav Meiri, Uri Hasson and Roi Reichart. Nature Communications. [Paper: Open Access]
2024 – “Alignment of brain embeddings and artificial contextual embeddings in natural language points to common geometric patterns.” Ariel Goldstein, Avigail Grinstein-Dabush, Mariano Schain, Haocheng Wang, Zhuoqiao Hong, Bobbi Aubrey, Mariano Schain, Samuel A. Nastase, Zaid Zada, Eric Ham, Amir Feder, Harshvardhan Gazula, Eliav Buchnik, Werner Doyle, Sasha Devore, Patricia Dugan, Roi Reichart, Daniel Friedman, Michael Brenner, Avinatan Hassidim, Orrin Devinsky, Adeen Flinker, and Uri Hasson. Nature Communications, 15 (2768). [Paper: Journal Page, Open Access]
2023 – “Perspective changes in human listeners are aligned with the contextual transformation of the word embedding space.” Refael Tikochinski, Ariel Goldstein, Yaara Yeshurun, Uri Hasson and Roi Reichart. Cerebral Cortex. [Paper: pdf]
2021 – “Thinking ahead: Spontaneous prediction in context as a keynote of language in humans and machines.” Ariel Goldstein, Zaid Zada, Eliav Buchnik, Mariano Schain, Amy Price, Bobbi Aubrey, Samuel A. Nastase, Amir Feder, Dotan Emanuel, Alon Cohen, Aren Jansen, Harshvardhan Gazula, Gina Choe, Aditi Rao, Catherine Kim, Colton Casto, Lora Fanda, Werner Doyle, Daniel Friedman, Patricia Dugan, Roi Reichart, Sasha Devore, Adeen Flinker, Liat Hasenfratz, Omer Levy, Avinatan Hassidim, Michael Brenner, Yossi Matias, Kenneth A. Norman, Orrin Devinsky and Uri Hasson. Nature Neuroscience. [Paper: pdf (biorxiv)]
2016 – “Finger Flexion Imagery: EEG Classification Through Physiologically-Inspired Feature Extraction and Hierarchical Voting” Daniel Furman, Roi Reichart and Hillel Pratt. Brain-Computer Interface (BCI) 2016 (long paper). [Paper: pdf] (This is a non-NLP paper)

AI for Mental Health
2025 – “Bridging Online Behavior and Clinical Insight: A Longitudinal LLM-based Study of Suicidality on YouTube Reveals Novel Digital Markers.” Ilanit Sobol, Shir Lissak, Refael Tikochinski, Tal Nakash, Anat Brunstein Klomek, Eyal Fruchter, and Roi Reichart. Accepted to the Journal of Affective Disorders. Presented at the Computational Psychiatry Conference 2025. [Paper: arXiv]
2024 – “Bored to Death: Artificial Intelligence Research Reveals the Role of Boredom in Suicide Behavior.” Shir Lissak, Yaakov Ophir, Refael Tikochinski, Anat Brunstein-Klomek, Itay Sisso, Eyal Fruchter and Roi Reichart. Frontiers in Psychiatry (Provisionally accepted, Volume 15 – 2024, doi: 10.3389/fpsyt.2024.1328122). [Journal page: Journal Page] [Paper: Arxiv]
2024 – “The Colorful Future of LLMs: Evaluating and Improving LLMs as Emotional Supporters for Queer Youth.” Shir Lissak (*), Nitay Calderon (*), Geva Shenkman, Yaakov Ophir, Eyal Fruchter, Anat Brunstein Klomek, Roi Reichart. (*) – Authors equally contributed to the paper. NAACL 2024. [Paper: pdf (arXiv)]
2023 – “Social Media Images Can Predict Suicide Risk Using Interpretable Large Language-Vision Models.” Yael Badian (*), Yaakov Ophir (*), Refael Tikochinski, Nitay Calderon, Anat Brunstein Klomek, Eyal Fruchter, Roi Reichart. (*) – Authors equally contributed to the paper. Accepted to the Journal of Clinical Psychiatry.
2021 – “The Hitchhiker’s Guide to Computational Linguistics in Suicide Prevention.” Yaakov Ophir, Refael Tikochinski, Anat Brunstein Klomek, and Roi Reichart. Clinical Psychological Science. [Paper: pdf]
2020 – “Deep Neural Networks Detect Suicide Risk from Textual Facebook Posts.” Yaakov Ophir, Refael Tikochinski, Christa Asterhan, Itay Sisso and Roi Reichart. Scientific Reports (10):16685 (2020) – Nature. [Paper: paper]
2019 – “The Turker Blues: Hidden Factors behind Increased Depression Rates in Amazon’s Mechanical Turk.” Yaakov Ophir, Itay Sisso, Christa Asterhan, Refael Tikochinski and Roi Reichart. Clinical Psychological Science. [Paper: pdf] [Journal page: here]
2012 – “You Too?! Mixed-initiative LDA story matching to help teens in distress.” Karthik Dinakar, Birago Jones, Henri Lieberman, Rosalind W. Picard, Carolyn Rose, Matthew Thoman and Roi Reichart. International Conference on Weblog and Social Media (ICWSM) 2012.
2011 – “Modeling the Detection of Textual Cyberbullying.” Karthik Dinakar, Roi Reichart and Henri Lieberman. International Conference on Weblog and Social Media (ICWSM) – Social Mobile Web Workshop 2011. [Paper: pdf]

Agents, Social Simulation and Decision Making
2025 – “Human Choice Prediction in Non-Cooperative Games: Simulation-based Off-Policy Evaluation.” Eilam Shapira, Reut Apel, Moshe Tennenholtz and Roi Reichart. Transactions of the ACL (TACL). [Paper: pdf (arXiv)]
2025 – “Can LLMs Learn Macroeconomic Narratives from Social Media?” Almog Gueta, Amir Feder, Zorik Gekhman, Ariel Goldstein, and Roi Reichart. Findings of NAACL 2025. [Paper: arXiv]
2024 – “GLEE: A Framework and Benchmark for LLM Evaluation in Language-based Economics.” Eilam Shapira, Omer Madmon, Itamar Reinman, Samuel Joseph Amouyal, Roi Reichart and Moshe Tennenholtz. [Paper: arXiv]
2024 – “Systematic Biases in LLM Simulations of Debates.” Amir Taubenfeld, Yaniv Dover, Roi Reichart and Ariel Goldstein. EMNLP 2024. [Paper: pdf (arXiv)]
2024 – “Can Large Language Models Replace Economic Choice Prediction Labs?” Eilam Shapira, Omer Madmon, Roi Reichart and Moshe Tennenholtz. [Paper: pdf (arXiv)]
2023 – “Decoding Stumpers: Large Language Models vs. Human Problem-Solvers.” Alon Goldstein, Miriam Haviv, Roi Reichart and Ariel Goldstein. Findings of EMNLP 2023. [Paper: pdf (arXiv)]
2022 – “Predicting Decisions in Language Based Persuasion Games.” Reut Apel, Ido Erev, Roi Reichart and Moshe Tennenholtz. Journal of Artificial Intelligence Research (JAIR). [Paper: arxiv version] [Code and data: github]
2021 – “Designing an Automatic Agent for Repeated Language-based Persuasion Games.” Maya Raifer, Guy Rotman, Reut Apel, Moshe Tennenholtz and Roi Reichart. Transactions of the Association for Computational Linguistics (TACL). [Paper: arxiv version]
2020 – “Predicting In-game Actions from Interviews of NBA Players.” Nadav Oved (*), Amir Feder (*), and Roi Reichart. (*) – Both authors equally contributed to the paper. Computational Linguistics. [Paper: (final CL version)] [Code and data: github]
2020 – “Predicting Strategic Behavior from Free Text.” Omer Ben-Port, Sharon Hirsch, Lital Kuchy, Guy Elad, Roi Reichart and Moshe Tennenholtz. Journal of Artificial Intelligence Research (JAIR). [Paper: arxiv version] [Five-page extended abstract (IJCAI 2020 journal track)]

Out-of-Distribution, Robustness and Hallucinations
2025 – “HACK: Hallucinations Along Certainty and Knowledge Axes.” Adi Simhi, Jonathan Herzig, Itay Itzhak, Dana Arad, Zorik Gekhman, Roi Reichart, Fazl Barez, Gabriel Stanovsky, Idan Szpektor, Yonatan Belinkov. [Paper: pdf (arXiv)]
2025 – “Fine-Grained Detection of Context-Grounded Hallucinations Using LLMs.” Yehonatan Pesiakhovsky, Zorik Gekhman, Yosi Mass, Liat Ein-Dor, Roi Reichart. [Paper: pdf (arXiv)]
2025 – “Are LLMs Better than Reported? Detecting Label Errors and Mitigating Their Effect on Model Performance.” Omer Nahum, Nitay Calderon, Orgad Keller, Idan Szpektor and Roi Reichart. EMNLP 2025. [Paper: pdf (arXiv)]
2025 – “Inside-Out: Hidden Factual Knowledge in LLMs.” Zorik Gekhman, Eyal Ben David, Hadas Orgad, Eran Ofek, Yonatan Belinkov, Idan Szpector, Jonathan Herzig, Roi Reichart. COLM 2025. [Paper: pdf (arXiv)]
2025 – “AdaptiVocab: Enhancing LLM Efficiency in Focused Domains through Lightweight Vocabulary Adaptation.” Itay Nakash, Nitay Calderon, Eyal Ben David, Elad Hoffer, Roi Reichart. COLM 2025. [Paper: pdf (arXiv)]
2025 – “LLMs Know More Than They Show: On the Intrinsic Representation of LLM Hallucinations.” Hadas Orgad, Michael Toker, Zorik Gekhman, Roi Reichart, Idan Szpektor, Hadas Kotek, Yonatan Belinkov. ICLR 2025. [Paper: arXiv]
2024 – “Measuring the Robustness of NLP Models to Domain Shifts.” Nitay Calderon (*), Naveh Porat (*), Eyal Ben-David, Alexander Chapanin, Zorik Gekhman, Nadav Oved, Vitaly Shalumov and Roi Reichart. (*) – Authors equally contributed to the paper. EMNLP 2024 (Findings). [Paper: pdf (arXiv)]
2024 – “Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?” Zorik Gekhman, Gal Yona, Roee Aharoni, Matan Eyal, Amir Feder, Roi Reichart and Jonathan Herzig. EMNLP 2024. [Paper: arXiv]
2024 – “Text2Model: Model Induction for Zero-shot Generalization Using Task Descriptions.” Ohad Amosy, Tomer Volk, Eilam Shapira, Eyal Ben-David, Roi Reichart and Gal Chechik. EMNLP 2024 (Findings). [Paper: arxiv version]
2023 – “Example-based Hypernetworks for Out-of-Distribution Generalization.” Tomer Volk (*), Eyal Ben-David (*), Ohad Amosi, Gal Chechik and Roi Reichart. (*) – Both authors equally contributed to the paper. Findings of EMNLP 2023. [Paper: arxiv version] [Code and data: github]
2023 – “A Systematic Study of Knowledge Distillation for Natural Language Generation with Pseudo-Target Training.” Nitay Calderon, Subhabrata Mukherjee, Roi Reichart and Amir Kantor. ACL 2023.
2023 – “On the Robustness of Dialogue History Representation in Conversational Question Answering: A Comprehensive Study and a New Prompt-based Method.” Zorik Gekhman (*), Nadav Oved (*), Orgad Keller, Idan Szpektor and Roi Reichart. (*) – Both authors equally contributed to the paper. Transactions of the Association for Computational Linguistics (TACL). To be presented in EMNLP 2023. [Paper: arxiv version]
2022 – “Multi-task Active Learning for Pre-trained Transformer-based Models.” Guy Rotman and Roi Reichart. Transactions of the Association for Computational Linguistics (TACL). [Paper: arxiv version] [Code: code]
2022 – “DoCoGen: Domain Counterfactual Generation for Low Resource Domain Adaptation.” Nitay Calderon (*), Eyal Ben-David (*), Amir Feder and Roi Reichart. (*) – Both authors equally contributed to the paper. ACL 2022. [Paper: arxiv version] [Code and data: github]
2022 – “PADA: Example-based Prompt Learning for on-the-fly Adaptation to Unseen Domains.” Eyal Ben-David (*), Nadav Oved (*), and Roi Reichart. (*) – Both authors equally contributed to the paper. Transactions of the Association for Computational Linguistics (TACL). [Paper: arxiv version] [Code: github]
(Early arxiv name: “PADA: A Prompt-based Autoregressive Approach for Adaptation to Unseen Domains.” [early arxiv version])
2021 – “Customized Pre-training for Domain Adaptation with Category Shift, with an Application to Aspect Extraction.” Entony Lekhtman, Yftah Ziser and Roi Reichart. EMNLP 2021. [Paper: pdf]
2021 – “Are VQA Systems RAD? Measuring Robustness to Augmented Data with Focused Interventions.” Daniel Yakoby, Itai Gat, Amir Feder and Roi Reichart. ACL 2021 (Short Paper). [Paper: pdf]
2020 – “PERL: Pivot-based Domain Adaptation for Pre-trained Deep Contextualized Embedding Models.” Eyal Ben-David, Carmel Rabinovitz and Roi Reichart. Transactions of the Association for Computational Linguistics (TACL). [Paper: arxiv version] [Code: github]
2019 – “Task Refinement Learning for Improved Accuracy and Stability of Unsupervised Domain Adaptation.” Yftah Ziser and Roi Reichart. ACL 2019 (long paper). [Paper: pdf]
2018 – “Deep Pivot-Based Modeling for Cross-language Cross-domain Transfer with Minimal Guidance.” Yftah Ziser and Roi Reichart. EMNLP 2018 (long paper). [Paper: pdf] [Code: github]
2018 – “Pivot Based Language Modeling for Improved Neural Domain Adaptation.” Yftah Ziser and Roi Reichart. NAACL 2018 (long paper). [Paper: pdf] [Code: github]
2017 – “Neural Structural Correspondence Learning for Domain Adaptation.” Yftah Ziser and Roi Reichart. CoNLL 2017 (long paper). [Paper: pdf] [Code: github]
2009 – “Sample Selection for Statistical Parsers: Cognitively Driven Algorithms and Evaluation Measures.” Roi Reichart and Ari Rappoport. CoNLL 2009 (long paper). Received the best paper award. [Paper: pdf]
2008 – “Multi-Task Active Learning for Linguistic Annotations.” Roi Reichart (*), Katrin Tomanek (*), Udo Hahn and Ari Rappoport. (*) – Both authors equally contributed to the paper. ACL 2008 (long paper, oral presentation). [Paper: pdf]
2007 – “Self-Training for Enhancement and Domain Adaptation of Statistical Parsers Trained on Small Datasets.” Roi Reichart and Ari Rappoport. ACL 2007 (long paper, oral presentation). [Paper: pdf]

Causal Inference and Model Interpretation for NLP
2025 – “Multi-Domain Explainability of Preferences.” Nitay Calderon, Liat Ein-Dor and Roi Reichart. EMNLP 2025. [Paper: pdf (arXiv)]
2025 – “On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs.” Nitay Calderon and Roi Reichart. NAACL 2025. Received the SAC best paper award for Model Analysis and Interpretability. [Paper: arXiv]
2024 – “Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals.” Yair Gat (*), Nitay Calderon (*), Alexander Chapanin, Amir Feder, Amit Sharma and Roi Reichart. (*) – Authors equally contributed to the paper. ICLR 2024. [Paper: pdf (arXiv)]
2022 – “CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior.” Eldar David Abraham (*), Karel D’Oosterlinck (*), Amir Feder (*), Yair Ori Gat (*), Atticus Geiger (*), Christopher Potts (*), Roi Reichart (*) and Zhengxuan Wu (*). (*) – All authors contributed equally; Names are in alphabetic order. NeurIPS 2022. [Paper: arxiv version] [Data and code: data and code]
2022 – “In the Eye of the Beholder: Robust Prediction with Causal User Modeling.” Amir Feder, Guy Horowitz, Yoav Wald, Roi Reichart and Nir Rosenfeld. NeurIPS 2022. [Paper: arxiv version]
2022 – “Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond.” Amir Feder (*), Katherine A. Keith, Emaad Manzoor, Reid Pryzant, Dhanya Sridhar, Zach Wood-Doughty, Jacob Eisenstein, Justin Grimmer, Roi Reichart, Margaret E. Roberts, Brandon M. Stewart, Victor Veitch and Diyi Yang. (*) – All authors equally contributed to the paper (names appear in alphabetic order of students and post-docs and then of faculty). Transactions of the Association for Computational Linguistics (TACL). [Paper: pdf]
2022 – “A Functional Information Perspective on Model Interpretation.” Itai Gat, Nitay Calderon, Roi Reichart and Tamir Hazan. ICML 2022.
2021 – “CausaLM: Causal Model Explanation Through Counterfactual Language Models.” Amir Feder, Nadav Oved, Uri Shalit and Roi Reichart. Computational Linguistics (Long Paper). [Paper: arxiv version] [Code and data: github]
2021 – “Model Compression for Domain Adaptation through Causal Effect Estimation.” Guy Rotman (*), Amir Feder (*) and Roi Reichart. (*) – Both authors equally contributed to the paper. Transactions of the Association for Computational Linguistics (TACL). [Paper: arxiv version]

Statistically Robust Evaluation
2025 – “The Alternative Annotator Test for LLM-as-a-Judge: How to Statistically Justify Replacing Human Annotators with LLMs.” Nitay Calderon, Roi Reichart and Rotem Dror. ACL 2025. [Paper: pdf (arXiv)]
2020 – “Statistical Significance Testing for Natural Language Processing.” Rotem Dror, Lotem Peled-Cohen, Segev Shlomov and Roi Reichart. Book published in the Human Language Technology series of Morgan & Claypool. [publisher page]
2019 – “Deep Dominance – How to Properly Compare Deep Neural Models.” Rotem Dror, Segev Shlomov and Roi Reichart. ACL 2019 (long paper). [Paper: pdf]
2018 – “The Hitchhiker’s Guide to Testing Statistical Significance in Natural Language Processing.” Rotem Dror, Gili Baumer, Segev Shlomov and Roi Reichart. ACL 2018 (long paper). [Paper: pdf] [Note on how to choose a statistical significance test: arxiv] [Code: github]
2018 – “Replicability Analysis for Natural Language Processing: Testing Significance with Multiple Datasets.” Rotem Dror, Gili Baumer, Marina Bogomolov and Roi Reichart. Transactions of the Association for Computational Linguistics (TACL). [Paper: pdf] [Code: github]

Multi-modal Learning
2025 – “DeLeaker: Dynamic Inference-Time Reweighting For Semantic Leakage Mitigation in Text-to-Image Models.” Mor Ventura, Michael Toker, Or Patashnik, Yonatan Belinkov, Roi Reichart. [Paper: pdf (arXiv)]
2025 – “NL-Eye: Abductive NLI for Images.” Mor Ventura, Michael Toker, Nitay Calderon, Zorik Gekhman, Yonatan Bitton, Roi Reichart. ICLR 2025. [Paper: arXiv]
2025 – “TabSTAR: A Foundation Tabular Model With Semantically Target-Aware Representations.” Alan Arazi, Eilam Shapira and Roi Reichart. NeurIPS 2025. [Paper: pdf (arXiv)] [Project Page and Code]
2024 – “Navigating Cultural Chasms: Exploring and Unlocking the Cultural POV of Text-To-Image Models.” Mor Ventura, Eyal Ben-David, Anna Korhonen and Roi Reichart. Transactions of the Association for Computational Linguistics (TACL). [Paper: pdf (arXiv)]
2024 – “Leveraging Prompt-Learning for Structured Information Extraction from Crohn’s Disease Radiology Reports in a Low-Resource Language.” Liam Hazan, Gili Focht, Naama Gavrielov, Roi Reichart, Talar Hagopian, Mary-Louise C. Greer, Ruth Cytter Kuint, Dan Turner and Moti Freiman. The Clinical NLP Workshop (at NAACL 2024). [Paper: arXiv]
2023 – “Viewpoint: Your Prompt is My Command – On Assessing the Human-Centred Generality of Multimodal Models.” Wout Schellaert, Fernando Martinez-Plumed, Karina Vold, John Burden, Pablo A. M. Casares, Bao Sheng Loe, Roi Reichart, Sean O hEigeartaigh, Anna Korhonen, Jose Hernandez-Orallo. Journal of Artificial Intelligence Research (JAIR).
2020 – “Geosocial Location Classification: Associating Type to Places Based on Geotagged Social-Media Posts.” Elad Kravi, Yaron Kanza, Benny Kimelfeld and Roi Reichart. SIGSPATIAL 2020. [Paper: pdf] [Long version: arxiv]
2018 – “Bridging Languages Through Images with Deep Partial Canonical Correlation Analysis.” Guy Rotman, Ivan Vulic and Roi Reichart. ACL 2018 (long paper). [Paper: pdf] [Code and Data: github]
2014 – “Multi-Modal Models for Concrete and Abstract Concept Meaning.” Felix Hill, Roi Reichart and Anna Korhonen. Transactions of the Association for Computational Linguistics (TACL 2:285-296), (Presented in EMNLP 2014). [Paper: pdf]

Multilingual NLP
2021 – “A Closer Look at Few-Shot Crosslingual Transfer: The Choice of Shots Matter.” Mengjie Zhao, Yi Zhu, Ehsan Shareghi, Ivan Vulic, Roi Reichart, Anna Korhonen and Hinrich Schütze. ACL 2021.
2021 – “Combining Deep Generative Models and Multi-lingual Pretraining for Semi-supervised Document Classification.” Yi Zhu, Ehsan Shareghi, Yingzhen Li, Roi Reichart and Anna Korhonen. EACL 2021 (Short Paper). [Paper: arxiv version]
2020 – “The Secret is in the Spectra: Predicting Cross-lingual Task Performance with Spectral Similarity Measures.” Haim Dubossarsky, Ivan Vulic, Roi Reichart and Anna Korhonen. EMNLP 2020 (Long Paper). [Paper: pdf]
2020 – “Parameter Space Factorization for Zero-Shot Learning across Tasks and Languages.” Edoardo Maria Ponti, Ivan Vulic, Ryan Cotterell, Marinela Parovic, Roi Reichart and Anna Korhonen. Transactions of the Association for Computational Linguistics (TACL). [Paper: arxiv version]
2019 – “On the Importance of Subword Information for Morphological Tasks in Truly Low-resource Languages.” Yi Zhu, Benjamin Heinzerling, Ivan Vulic, Michael Strube, Roi Reichart and Anna Korhonen. CoNLL 2019 (Long Paper). [Paper: pdf]
2019 – “Towards Zero-shot Language Modeling.” Edoardo Maria Ponti, Ivan Vulic, Ryan Cotterell, Roi Reichart and Anna Korhonen. EMNLP 2019 (Long Paper). [Paper: pdf]
2019 – “Do We Really Need Fully Unsupervised Cross-lingual Embeddings ?” Ivan Vulic, Goran Glavas, Roi Reichart and Anna Korhonen. EMNLP 2019 (Long Paper). [Paper: pdf]
2019 – “Cross-lingual Semantic Specialization via Lexical Relation Extraction.” Edoardo Maria Ponti, Ivan Vulic, Goran Glavas, Roi Reichart and Anna Korhonen. EMNLP 2019 (Long Paper). [Paper: pdf]
2019 – “Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processing.” Edoardo Maria Ponti, Helen O’Horan, Yevgeni Berzak, Ivan Vulic, Roi Reichart, Thierry Poibeau, Ekaterina Shutova and Anna Korhonen. Computational Linguistics (Long Paper).
2018 – “On the Relation Between Linguistic Typology and (Limitations of) Multilingual Language Modeling.” Daniela Gerz, Ivan Vulic, Edoardo Maria Ponti, Roi Reichart and Anna Korhonen. EMNLP 2018 (long paper). [Paper: pdf]
2018 – “Language Modeling for Morphologically Rich Languages: Character-Aware Modeling for Word-Level Prediction.” Daniela Gerz, Edoardo Maria Ponti, Jason Naradowski, Ivan Vulic, Roi Reichart and Anna Korhonen. Transactions of the Association for Computational Linguistics (TACL 6:451-465). [Paper: pdf] [Data: LM training data in 50 morphologically diverse languages]
2018 – “Isomorphic Transfer of Syntactic Structures in Cross-Lingual NLP.” Edoardo Maria Ponti, Roi Reichart, Anna Korhonen and Ivan Vulic. ACL 2018 (long paper). [Paper: pdf]
2016 – “Survey on the Use of Typological Information in Natural Language Procecessing.” Helen O’Horan, Yevgeni Berzak, Ivan Vulic, Roi Reichart and Anna Korhonen. COLING 2016 (long paper). [Paper: pdf]
2015 – “Separated by an Un-common Language: Towards Judgment Language Informed Vector Space Modeling.” Ira Leviant and Roi Reichart. arXiv preprint arxiv:1508.00106. [Paper: pdf] [Dataset: Multilingual-WS353-SimLex999]
2015 – “Contrastive Analysis with Predictive Power: Typology Driven Estimation of Grammatical Error Distribution in ESL.” Yevgeni Berzak, Roi Reichart and Boris Katz. CoNLL 2015 (long paper). [Paper: pdf]
2014 – “Reconstructing Native Language Typology from Foreign Language Usage.” Yevgeni Berzak, Roi Reichart and Boris Katz. CoNLL 2014 (long paper). [Paper: pdf]

Lexical Semantics
2020 – “Multidirectional Associative Optimization of Function-Specific Word Representations.” Daniela Gerz, Ivan Vulic, Marek Rei, Roi Reichart and Anna Korhonen. ACL 2020 (Long Paper). [Paper: arxiv (ACL) version] [Pre-trained vectors: github]
2020 – “Multi-SimLex: A Large-Scale Evaluation of Multilingual and Cross-Lingual Lexical Semantic Similarity.” Ivan Vulic, Simon Beker, Edoardo Maria Ponti, Ulla Petti, Ira Leviant, Kelly Wing, Olga Majewska, Eden Bar, Matt Malone, Thierry Poibeau, Roi Reichart and Anna Korhonen. Computational Linguistics (Long Paper). [Paper: arxiv version] [Project Page and Dataset: Multi-SimLex]
2017 – “Automatic Selection of Context Configuraitons for Improvred (and Fast) Class-specific Word Representations.” Ivan Vulic, Roy Schwartz, Ari Rappoport, Roi Reichart and Anna Korhonen. CoNLL 2017 (long paper). [Paper: pdf]
2017 – “Semantic Specialization of Distributional Word Vector Spaces using Monolingual and Cross-lingual Constraints.” Nikola Mrksic, Ivan Vulic, Diarmuid O Seaghdha, Ira Leviant, Roi Reichart, Milica Gasic, Anna Korhonen and Steve Young. Transactions of the Association for Computational Linguistics (TACL). [Paper: pdf] [Code: github]
2017 – “Morph-fitting: Fine-Tunning Word Vector Spaces with Simple Language Specific Rules.” Ivan Vulic, Nikola Mrksic, Roi Reichart, Diarmuid O Seaghdha, Steve Young and Anna Korhonen. ACL 2017 (long paper). [Paper: pdf]
2016 – “SimVerb-3500: A Large-Scale Evaluation Set of Verb Similarity.” Daniela Gerz, Ivan Vulic, Felix Hill, Roi Reichart and Anna Korhonen. EMNLP 2016 (long paper). [Paper: pdf] [Paper: pdf]
2016 – “Symmetric Patterns and Coordinations: Fast and Enhanced Reresentations of Verbs and Adjectives.” Roy Schwartz, Roi Reichart and Ari Rappoport. NAACL 2016 (short paper). [Paper: pdf]
2015 – “SimLex-999: Evaluating Semantic Models with (Genuine) Similarity Estimation” Felix Hill, Roi Reichart and Anna Korhonen. Computational Linguistics (CL Journal). [Paper (arxiv:1408.3456): pdf] [Paper (CL): pdf] [Dataset: SimLex-999]
2015 – “Symmetric Pattern Based Word Embeddings for Improved Word Similarity Prediction” Roy Schwartz, Roi Reichart and Ari Rappoport. CoNLL 2015 (long paper). [Paper: pdf] [Dataset: sp-embeddings]
2014 – “Minimally Supervised Classification to Semantic Categories Using Symmetric Patterns” Roy Schwartz, Roi Reichart and Ari Rappoport. COLING 2014 (long paper). [Paper: pdf]
2014 – “An Unsupervised Model for Instance Level Subcategorization Acquisition” Simon Baker, Roi Reichart and Anna Korhonen. EMNLP 2014 (long paper). [Paper: pdf] [Verb Similarity Dataset: download]
2013 – “Improved Lexical Acquisition through DPP-based Verb Clustering” Roi Reichart and Anna Korhonen. ACL 2013 (long paper). [Paper: pdf] [Source Code: download]
2010 – “Tense Sense Disambiguation: a New Task and a Supervised Algorithm.” Roi Reichart and Ari Rappoport. EMNLP 2010 (long paper). [Paper: pdf]
2009 – “Superior and Efficient Fully Unsupervised Pattern-based Concept Acquisition Using an Unsupervised Parser.” Dmitry Davidov, Roi Reichart and Ari Rappoport. CoNLL 2009 (long paper). [Paper: pdf]
2008 – “A Supervised Algorithm for Verb Disambiguation into VerbNet Classes.” Omri Abend, Roi Reichart and Ari Rappoport. COLING 2008 (long paper, oral presentation). [Paper: pdf]

Parsing, Tagging and Structured Prediction
2019 – “Deep Contextualized Self-training for Low Resource Dependency Parsing.” Guy Rotman and Roi Reichart. Transactions of the Association for Computational Linguistics (TACL). [Paper (authors’ final version): pdf]
2019 – “Perturbation Based Learning for Structured NLP tasks with Application to Dependency Parsing.” Amichay Doitch (*), Ram Yasdi (*), Tamir Hazan, Roi Reichart. (*) – Both authors equally contributed to the paper. Transactions of the Association for Computational Linguistics (TACL). [Paper (authors’ final version): pdf]
2019 – “Zero-shot Semantic Parsing for Instructions.” Ofer Givoli and Roi Reichart. ACL 2019 (long paper). [Paper: pdf]
2019 – “Bayesian Learning for Neural Dependency Parsing.” Ehsan Shareghi, Yingzhen Li, Yi Zhu, Roi Reichart and Anna Korhonen. NAACL 2019 (long paper). [Paper: pdf]
2018 – “Neural Transition Based Parsing of Web Queries: An Entity Based Approach.” Rivka Malca and Roi Reichart. EMNLP 2018 (long paper). [Paper: pdf] [Code: bitbucket]
2016 – “The Structured Weighted Violations Perceptron Algorithm.” Rotem Dror and Roi Reichart. EMNLP 2016 (long paper). [Paper (arxiv:1602.03040): pdf] [Paper: pdf]
2016 – “Effective Greedy Inference for Graph-based Non-Projective Dependency Parsing.” Ilan Tchernowitz, Liron Yedidsion and Roi Reichart. EMNLP 2016 (long paper). [Paper: pdf]
2016 – “Edge-Linear First-Order Dependency Parsing with Undirected Minimum Spanning Tree Inference.” Effi Levi, Roi Reichart and Ari Rappoport. ACL 2016 (long paper). [Paper: pdf]
2016 – “Syntactic Parsing of Web Queries with Question Intent.” Yuval Pinter, Roi Reichart and Idan Szpektor. NAACL 2016 (long paper). [Paper: pdf] [CQA Query Treebank (Go to “Language Data” and then “L28”)] [Parsing Guidelines]
2012 – “A Diverse Dirichlet Process Ensemble for Unsupervised Induction of Syntactic Categories.” Roi Reichart, Gal Elidan and Ari Rappoport. COLING 2012 (long paper). [Paper: pdf]
2012 – “Improved Parsing and POS tagging Using Inter-Sentence Consistency Constraints.” Alexander M. Rush (*), Roi Reichart (*), Michael Collins and Amir Globerson. (*) – Both authors equally contributed to the paper. EMNLP 2012 (long paper). [Paper: pdf]
2012 – “Learning to MAP into a Universal POS Tagset.” Yuan Zhang, Roi Reichart, Regina Barzilay and Amir Globerson. EMNLP 2012 (long paper). [Paper: pdf]
2012 – “Multi Event Extraction Guided by Global Constraints.” Roi Reichart and Regina Barzilay. NAACL 2012 (long paper). [Paper: pdf]
2011 – “Neutralizing Linguistically Problematic Annotations in Unsupervised Dependency Parsing Evaluation.” Roy Schwartz, Omri Abend, Roi Reichart and Ari Rappoport. ACL 2011 (long paper). [Paper: pdf] [Source Code: download]
2011 – “Confidence Driven Unsupervised Semantic Parsing.” Dan Goldwasser, Roi Reichart, James Clarke and Dan Roth. ACL 2011 (long paper). [Paper: pdf]
2010 – “Improved Fully Unsupervised Parsing with Zoomed Learning.” Roi Reichart and Ari Rappoport. EMNLP 2010 (long paper). [Paper: pdf]
2010 – “A Multi-Domain Web-Based Algorithm for POS Tagging of Unknown Words.” Shulamit Umansky-Pesin, Roi Reichart and Ari Rappoport. COLING 2010 (long paper). [Paper: pdf]
2010 – “Improved Unsupervised POS Induction through Prototype Discovery.” Omri Abend, Roi Reichart and Ari Rappoport. ACL 2010 (long paper). [Paper: pdf]
2010 – “Improved Unsupervised POS Induction Using Intrinsic Clustering Quality and a Zipfian Constraint.” Roi Reichart, Raanan Fattal and Ari Rappoport. CoNLL 2010 (long paper). [Paper: pdf]
2010 – “Type Level Clustering Evaluation: New Measures and a POS Induction Case Study.” Roi Reichart (*), Omri Abend (*) and Ari Rappoport. (*) – Both authors equally contributed to the paper. CoNLL 2010 (long paper). [Paper: pdf]
2009 – “The NVI Clustering Evaluation Measure.” Roi Reichart and Ari Rappoport. CoNLL 2009 (long paper). [Paper: pdf]
2009 – “Automatic Selection of High Quality Parses Created By a Fully Unsupervised Parser.” Roi Reichart and Ari Rappoport. CoNLL 2009 (long paper). [Paper: pdf]
2009 – “Unsupervised Argument Identification for Semantic Role Labeling.” Omri Abend, Roi Reichart and Ari Rappoport. ACL 2009 (long paper). [Paper: pdf]
2008 – “Unsupervised Induction of Labeled Parse Trees by Clustering with Syntactic Features.” Roi Reichart and Ari Rappoport. COLING 2008 (long paper, oral presentation). [Paper: pdf]
2008 – “Extraction of Entailed Semantic Relations Through Syntax-based Comma Resolution.” Vivek Srikumar, Roi Reichart, Mark Sammons, Ari Rappoport and Dan Roth. ACL 2008 (long paper, oral presentation). [Paper: pdf]
2007 – “An Ensemble Method for Selection of High Quality Parses.” Roi Reichart and Ari Rappoport. ACL 2007 (long paper, oral presentation). [Paper: pdf]

Other
2022 – “Learning Discrete Structured Variational Auto-Encoder using Natural Evolution Strategies.” Alon Berliner, Guy Rotman, Yossi Adi, Roi Reichart and Tamir Hazan. ICLR 2022.
2020 – “Semantically-driven Sentence Fusion: Modeling and Evaluation.” Eyal Ben David, Orgad Keller, Eric Malmi, Idan Szpektor and Roi Reichart. Findings of EMNLP 2020 (Long Paper). [Paper: pdf]
2019 – “GECKO – A Tool for Effective Annotation of Human Conversations.” Golan Levy, Raquel Sitman, Ido Amir, Eduard Goldshtein, Ran Mochary, Eilon Reshef, Roi Reichart and Omri Allouche. Interspeech 2019 (Show and Tell). [Paper: pdf] [Code: github]
2017 – “Sarcasm SIGN: Interpreting Sarcasm with Monolingual Machine Translation.” Lotem Peled and Roi Reichart. ACL 2017 (long paper). [Paper: pdf] [Data set: Project Page]
2015 – “Unsupervised Declarative Knowledge Induction for Constraint-Based Learning of Information Structure in Scientific Documents” Yufan Guo, Roi Reichart and Anna Korhonen. Transactions of the Association for Computational Linguistics (TACL 3:131-143), (Presented in NAACL 2015). [Paper: pdf]
2013 – “Improved Information Structure Analysis of Scientific Documents Through Discourse and Lexical Constraints.” Yufan Guo, Roi Reichart and Anna Korhonen. NAACL 2013 (long paper). [Paper: pdf]
2012 – “Document and Corpus Level Inference For Unsupervised Learning of Information Structure of Scientific Documents.” Roi Reichart and Anna Korhonen. COLING 2012 (short paper). [Paper: pdf]
2012 – “CRAB Reader: A Tool for Analysis and Visualization of Argumentative Zones of Scientific Literature.” Yufan Guo, Ilona Solinis, Roi Reichart and Anna Korhonen. COLING 2012 (demo paper). [Paper: pdf]