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ORCIDRoi Reichart
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- affiliation: Technion-Israel Institute of Technology, Israel
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2020 – today
- 2024
[c88]Wout Schellaert, Fernando Martínez-Plumed, Karina Vold, John Burden, Pablo A. M. Casares, Bao Sheng Loe, Roi Reichart, Seán Ó hÉigeartaigh, Anna Korhonen, José Hernández-Orallo:
Your Prompt Is My Command: On Assessing the Human-Centred Generality of Multimodal Models (Abstract Reprint). AAAI 2024: 22712- [c87]Liam Hazan, Naama Gavrielov, Roi Reichart, Talar Hagopian, Mary-Louise C. Greer, Ruth Cytter-Kuint, Gili Focht, Dan Turner, Moti Freiman:
Leveraging Prompt-Learning for Structured Information Extraction from Crohn's Disease Radiology Reports in a Low-Resource Language. ClinicalNLP@NAACL 2024: 301-309 - [c86]Nitay Calderon, Naveh Porat, Eyal Ben-David, Alexander Chapanin, Zorik Gekhman, Nadav Oved, Vitaly Shalumov, Roi Reichart:
Measuring the Robustness of NLP Models to Domain Shifts. EMNLP (Findings) 2024: 126-154 - [c85]Ohad Amosy, Tomer Volk, Eilam Shapira, Eyal Ben-David, Roi Reichart, Gal Chechik:
Text2Model: Text-based Model Induction for Zero-shot Image Classification. EMNLP (Findings) 2024: 155-172 - [c84]Amir Taubenfeld, Yaniv Dover, Roi Reichart, Ariel Goldstein:
Systematic Biases in LLM Simulations of Debates. EMNLP 2024: 251-267 - [c83]Zorik Gekhman, Gal Yona, Roee Aharoni, Matan Eyal, Amir Feder, Roi Reichart, Jonathan Herzig:
Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations? EMNLP 2024: 7765-7784 - [c82]Yair Ori Gat, Nitay Calderon, Amir Feder, Alexander Chapanin, Amit Sharma, Roi Reichart:
Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals. ICLR 2024 - [c81]Shir Lissak, Nitay Calderon, Geva Shenkman, Yaakov Ophir, Eyal Fruchter, Anat Brunstein Klomek, Roi Reichart:
The Colorful Future of LLMs: Evaluating and Improving LLMs as Emotional Supporters for Queer Youth. NAACL-HLT 2024: 2040-2079 - [i75]Eilam Shapira, Omer Madmon, Roi Reichart, Moshe Tennenholtz:
Can Large Language Models Replace Economic Choice Prediction Labs? CoRR abs/2401.17435 (2024) - [i74]Amir Taubenfeld, Yaniv Dover, Roi Reichart, Ariel Goldstein:
Systematic Biases in LLM Simulations of Debates. CoRR abs/2402.04049 (2024) - [i73]Shir Lissak, Nitay Calderon, Geva Shenkman, Yaakov Ophir, Eyal Fruchter, Anat Brunstein Klomek, Roi Reichart:
The Colorful Future of LLMs: Evaluating and Improving LLMs as Emotional Supporters for Queer Youth. CoRR abs/2402.11886 (2024) - [i72]Shir Lissak, Yaakov Ophir, Refael Tikochinski, Anat Brunstein Klomek, Itay Sisso, Eyal Fruchter, Roi Reichart:
Bored to Death: Artificial Intelligence Research Reveals the Role of Boredom in Suicide Behavior. CoRR abs/2404.14057 (2024) - [i71]Liam Hazan, Gili Focht, Naama Gavrielov, Roi Reichart, Talar Hagopian, Mary-Louise C. Greer, Ruth Cytter-Kuint, Dan Turner, Moti Freiman:
Leveraging Prompt-Learning for Structured Information Extraction from Crohn's Disease Radiology Reports in a Low-Resource Language. CoRR abs/2405.01682 (2024) - [i70]Zorik Gekhman, Gal Yona, Roee Aharoni, Matan Eyal, Amir Feder, Roi Reichart, Jonathan Herzig:
Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations? CoRR abs/2405.05904 (2024) - [i69]Almog Gueta, Amir Feder, Zorik Gekhman, Ariel Goldstein, Roi Reichart:
Can LLMs Learn Macroeconomic Narratives from Social Media? CoRR abs/2406.12109 (2024) - [i68]Nitay Calderon, Roi Reichart:
On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs. CoRR abs/2407.19200 (2024) - [i67]Lotem Peled-Cohen, Roi Reichart:
A Systematic Review of NLP for Dementia- Tasks, Datasets and Opportunities. CoRR abs/2409.19737 (2024) - [i66]Mor Ventura, Michael Toker, Nitay Calderon, Zorik Gekhman, Yonatan Bitton, Roi Reichart:
NL-Eye: Abductive NLI for Images. CoRR abs/2410.02613 (2024) - [i65]Hadas Orgad, Michael Toker, Zorik Gekhman, Roi Reichart, Idan Szpektor, Hadas Kotek, Yonatan Belinkov:
LLMs Know More Than They Show: On the Intrinsic Representation of LLM Hallucinations. CoRR abs/2410.02707 (2024) - [i64]Eilam Shapira, Omer Madmon, Itamar Reinman, Samuel Joseph Amouyal, Roi Reichart, Moshe Tennenholtz:
GLEE: A Unified Framework and Benchmark for Language-based Economic Environments. CoRR abs/2410.05254 (2024) - [i63]Omer Nahum, Nitay Calderon, Orgad Keller, Idan Szpektor, Roi Reichart:
Are LLMs Better than Reported? Detecting Label Errors and Mitigating Their Effect on Model Performance. CoRR abs/2410.18889 (2024) - 2023
- [j23]Wout Schellaert
, Fernando Martínez-Plumed, Karina Vold, John Burden, Pablo A. M. Casares, Bao Sheng Loe, Roi Reichart, Seán Ó hÉigeartaigh, Anna Korhonen, José Hernández-Orallo:
Your Prompt is My Command: On Assessing the Human-Centred Generality of Multimodal Models. J. Artif. Intell. Res. 77: 377-394 (2023) - [j22]Zorik Gekhman, Nadav Oved, Orgad Keller, Idan Szpektor, Roi Reichart:
On the Robustness of Dialogue History Representation in Conversational Question Answering: A Comprehensive Study and a New Prompt-based Method. Trans. Assoc. Comput. Linguistics 11: 351-366 (2023) - [c80]Nitay Calderon, Subhabrata Mukherjee, Roi Reichart, Amir Kantor:
A Systematic Study of Knowledge Distillation for Natural Language Generation with Pseudo-Target Training. ACL (1) 2023: 14632-14659 - [c79]Tomer Volk, Eyal Ben-David, Ohad Amosy, Gal Chechik, Roi Reichart:
Example-based Hypernetworks for Multi-source Adaptation to Unseen Domains. EMNLP (Findings) 2023: 9096-9113 - [c78]Alon Goldstein, Miriam Havin, Roi Reichart, Ariel Goldstein:
Decoding Stumpers: Large Language Models vs. Human Problem-Solvers. EMNLP (Findings) 2023: 11644-11653 - [i62]Yael Badian, Yaakov Ophir, Refael Tikochinski, Nitay Calderon, Anat Brunstein Klomek, Roi Reichart:
A Picture May Be Worth a Thousand Lives: An Interpretable Artificial Intelligence Strategy for Predictions of Suicide Risk from Social Media Images. CoRR abs/2302.09488 (2023) - [i61]Nitay Calderon, Subhabrata Mukherjee, Roi Reichart, Amir Kantor:
A Systematic Study of Knowledge Distillation for Natural Language Generation with Pseudo-Target Training. CoRR abs/2305.02031 (2023) - [i60]Eilam Shapira, Reut Apel, Moshe Tennenholtz, Roi Reichart:
Human Choice Prediction in Language-based Non-Cooperative Games: Simulation-based Off-Policy Evaluation. CoRR abs/2305.10361 (2023) - [i59]Nitay Calderon, Naveh Porat, Eyal Ben-David, Zorik Gekhman, Nadav Oved, Roi Reichart:
Measuring the Robustness of Natural Language Processing Models to Domain Shifts. CoRR abs/2306.00168 (2023) - [i58]Yair Ori Gat, Nitay Calderon, Amir Feder, Alexander Chapanin, Amit Sharma, Roi Reichart:
Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals. CoRR abs/2310.00603 (2023) - [i57]Mor Ventura, Eyal Ben-David, Anna Korhonen, Roi Reichart:
Navigating Cultural Chasms: Exploring and Unlocking the Cultural POV of Text-To-Image Models. CoRR abs/2310.01929 (2023) - [i56]Ariel Goldstein, Eric Ham, Mariano Schain, Samuel A. Nastase, Zaid Zada, Avigail Dabush, Bobbi Aubrey, Harshvardhan Gazula, Amir Feder, Werner K. Doyle, Sasha Devore, Patricia Dugan, Daniel Friedman, Roi Reichart, Michael P. Brenner, Avinatan Hassidim, Orrin Devinsky, Adeen Flinker, Omer Levy, Uri Hasson:
The Temporal Structure of Language Processing in the Human Brain Corresponds to The Layered Hierarchy of Deep Language Models. CoRR abs/2310.07106 (2023) - [i55]Alon Goldstein, Miriam Havin, Roi Reichart, Ariel Goldstein:
Decoding Stumpers: Large Language Models vs. Human Problem-Solvers. CoRR abs/2310.16411 (2023) - 2022
- [j21]Reut Apel, Ido Erev, Roi Reichart, Moshe Tennenholtz:
Predicting Decisions in Language Based Persuasion Games. J. Artif. Intell. Res. 73: 1025-1091 (2022) - [j20]Maya Raifer, Guy Rotman, Reut Apel, Moshe Tennenholtz, Roi Reichart:
Designing an Automatic Agent for Repeated Language-based Persuasion Games. Trans. Assoc. Comput. Linguistics 10: 307-324 (2022) - [j19]Eyal Ben-David, Nadav Oved, Roi Reichart:
PADA: Example-based Prompt Learning for on-the-fly Adaptation to Unseen Domains. Trans. Assoc. Comput. Linguistics 10: 414-433 (2022) - [j18]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, Diyi Yang:
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond. Trans. Assoc. Comput. Linguistics 10: 1138-1158 (2022) - [j17]Guy Rotman, Roi Reichart:
Multi-task Active Learning for Pre-trained Transformer-based Models. Trans. Assoc. Comput. Linguistics 10: 1209-1228 (2022) - [c77]Nitay Calderon, Eyal Ben-David, Amir Feder, Roi Reichart:
DoCoGen: Domain Counterfactual Generation for Low Resource Domain Adaptation. ACL (1) 2022: 7727-7746 - [c76]Alon Berliner, Guy Rotman, Yossi Adi, Roi Reichart, Tamir Hazan:
Learning Discrete Structured Variational Auto-Encoder using Natural Evolution Strategies. ICLR 2022 - [c75]Itai Gat, Nitay Calderon, Roi Reichart, Tamir Hazan:
A Functional Information Perspective on Model Interpretation. ICML 2022: 7266-7278 - [c74]Eldar David Abraham, Karel D'Oosterlinck, Amir Feder, Yair Ori Gat, Atticus Geiger, Christopher Potts, Roi Reichart, Zhengxuan Wu:
CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior. NeurIPS 2022 - [c73]Amir Feder, Guy Horowitz, Yoav Wald, Roi Reichart, Nir Rosenfeld:
In the Eye of the Beholder: Robust Prediction with Causal User Modeling. NeurIPS 2022 - [i54]Nitay Calderon, Eyal Ben-David, Amir Feder, Roi Reichart:
DoCoGen: Domain Counterfactual Generation for Low Resource Domain Adaptation. CoRR abs/2202.12350 (2022) - [i53]Tomer Volk, Eyal Ben-David, Ohad Amosy, Gal Chechik, Roi Reichart:
Example-based Hypernetworks for Out-of-Distribution Generalization. CoRR abs/2203.14276 (2022) - [i52]Alon Berliner, Guy Rotman, Yossi Adi, Roi Reichart, Tamir Hazan:
Learning Discrete Structured Variational Auto-Encoder using Natural Evolution Strategies. CoRR abs/2205.01324 (2022) - [i51]Eldar David Abraham, Karel D'Oosterlinck, Amir Feder, Yair Ori Gat, Atticus Geiger, Christopher Potts, Roi Reichart, Zhengxuan Wu:
CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior. CoRR abs/2205.14140 (2022) - [i50]Amir Feder, Guy Horowitz, Yoav Wald, Roi Reichart, Nir Rosenfeld:
In the Eye of the Beholder: Robust Prediction with Causal User Modeling. CoRR abs/2206.00416 (2022) - [i49]Itai Gat, Nitay Calderon, Roi Reichart, Tamir Hazan:
A Functional Information Perspective on Model Interpretation. CoRR abs/2206.05700 (2022) - [i48]Zorik Gekhman, Nadav Oved, Orgad Keller, Idan Szpektor, Roi Reichart:
On the Robustness of Dialogue History Representation in Conversational Question Answering: A Comprehensive Study and a New Prompt-based Method. CoRR abs/2206.14796 (2022) - [i47]Guy Rotman, Roi Reichart:
Multi-task Active Learning for Pre-trained Transformer-based Models. CoRR abs/2208.05379 (2022) - [i46]Eyal Ben-David, Yftah Ziser, Roi Reichart:
Domain Adaptation from Scratch. CoRR abs/2209.00830 (2022) - [i45]Ohad Amosy, Tomer Volk, Eyal Ben-David, Roi Reichart, Gal Chechik:
Text2Model: Model Induction for Zero-shot Generalization Using Task Descriptions. CoRR abs/2210.15182 (2022) - 2021
- [j16]Amir Feder, Nadav Oved, Uri Shalit, Roi Reichart:
CausaLM: Causal Model Explanation Through Counterfactual Language Models. Comput. Linguistics 47(2): 333-386 (2021) - [j15]Edoardo Maria Ponti, Ivan Vulic, Ryan Cotterell, Marinela Parovic, Roi Reichart, Anna Korhonen:
Parameter Space Factorization for Zero-Shot Learning across Tasks and Languages. Trans. Assoc. Comput. Linguistics 9: 410-428 (2021) - [j14]Guy Rotman, Amir Feder, Roi Reichart:
Model Compression for Domain Adaptation through Causal Effect Estimation. Trans. Assoc. Comput. Linguistics 9: 1355-1373 (2021) - [c72]Daniel Rosenberg, Itai Gat, Amir Feder, Roi Reichart:
Are VQA Systems RAD? Measuring Robustness to Augmented Data with Focused Interventions. ACL/IJCNLP (2) 2021: 61-70 - [c71]Mengjie Zhao, Yi Zhu, Ehsan Shareghi, Ivan Vulic, Roi Reichart, Anna Korhonen, Hinrich Schütze:
A Closer Look at Few-Shot Crosslingual Transfer: The Choice of Shots Matters. ACL/IJCNLP (1) 2021: 5751-5767 - [c70]Yi Zhu, Ehsan Shareghi, Yingzhen Li, Roi Reichart, Anna Korhonen:
Combining Deep Generative Models and Multi-lingual Pretraining for Semi-supervised Document Classification. EACL 2021: 894-908 - [c69]Entony Lekhtman, Yftah Ziser, Roi Reichart:
DILBERT: Customized Pre-Training for Domain Adaptation with Category Shift, with an Application to Aspect Extraction. EMNLP (1) 2021: 219-230 - [c68]Elad Kravi, Yaron Kanza, Benny Kimelfeld, Roi Reichart:
Location Classification Based on Tweets. GeoAI@SIGSPATIAL 2021: 51-60 - [i44]Guy Rotman, Amir Feder, Roi Reichart:
Model Compression for Domain Adaptation through Causal Effect Estimation. CoRR abs/2101.07086 (2021) - [i43]Yi Zhu, Ehsan Shareghi, Yingzhen Li, Roi Reichart, Anna Korhonen:
Combining Deep Generative Models and Multi-lingual Pretraining for Semi-supervised Document Classification. CoRR abs/2101.10717 (2021) - [i42]Eyal Ben-David, Nadav Oved, Roi Reichart:
PADA: A Prompt-based Autoregressive Approach for Adaptation to Unseen Domains. CoRR abs/2102.12206 (2021) - [i41]Maya Raifer, Guy Rotman, Reut Apel, Moshe Tennenholtz, Roi Reichart:
Designing an Automatic Agent for Repeated Language based Persuasion Games. CoRR abs/2105.04976 (2021) - [i40]Daniel Rosenberg, Itai Gat, Amir Feder, Roi Reichart:
Are VQA Systems RAD? Measuring Robustness to Augmented Data with Focused Interventions. CoRR abs/2106.04484 (2021) - [i39]Edoardo Maria Ponti, Ivan Vulic, Ryan Cotterell, Roi Reichart, Anna Korhonen:
Towards Zero-shot Language Modeling. CoRR abs/2108.03334 (2021) - [i38]Entony Lekhtman, Yftah Ziser, Roi Reichart:
DILBERT: Customized Pre-Training for Domain Adaptation withCategory Shift, with an Application to Aspect Extraction. CoRR abs/2109.00571 (2021) - [i37]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, Diyi Yang:
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond. CoRR abs/2109.00725 (2021) - 2020
- [b2]Rotem Dror, Lotem Peled-Cohen, Segev Shlomov, Roi Reichart:
Statistical Significance Testing for Natural Language Processing. Synthesis Lectures on Human Language Technologies, Morgan & Claypool Publishers 2020, ISBN 978-3-031-01046-0 - [j13]Nadav Oved, Amir Feder, Roi Reichart:
Predicting In-Game Actions from Interviews of NBA Players. Comput. Linguistics 46(3): 667-712 (2020) - [j12]Ivan Vulic, Simon Baker, Edoardo Maria Ponti, Ulla Petti, Ira Leviant, Kelly Wing, Olga Majewska, Eden Bar, Matt Malone, Thierry Poibeau, Roi Reichart, Anna Korhonen:
Multi-SimLex: A Large-Scale Evaluation of Multilingual and Crosslingual Lexical Semantic Similarity. Comput. Linguistics 46(4): 847-897 (2020) - [j11]Omer Ben-Porat, Sharon Hirsch, Lital Kuchy, Guy Elad, Roi Reichart, Moshe Tennenholtz:
Predicting Strategic Behavior from Free Text. J. Artif. Intell. Res. 68: 413-445 (2020) - [j10]Eyal Ben-David, Carmel Rabinovitz, Roi Reichart:
PERL: Pivot-based Domain Adaptation for Pre-trained Deep Contextualized Embedding Models. Trans. Assoc. Comput. Linguistics 8: 504-521 (2020) - [c67]Daniela Gerz, Ivan Vulic, Marek Rei, Roi Reichart, Anna Korhonen:
Multidirectional Associative Optimization of Function-Specific Word Representations. ACL 2020: 2872-2882 - [c66]Eyal Ben-David, Orgad Keller, Eric Malmi, Idan Szpektor, Roi Reichart:
Semantically Driven Sentence Fusion: Modeling and Evaluation. EMNLP (Findings) 2020: 1491-1505 - [c65]Haim Dubossarsky, Ivan Vulic, Roi Reichart, Anna Korhonen:
The Secret is in the Spectra: Predicting Cross-lingual Task Performance with Spectral Similarity Measures. EMNLP (1) 2020: 2377-2390 - [c64]Elad Kravi, Yaron Kanza, Benny Kimelfeld, Roi Reichart:
Geosocial Location Classification: Associating Type to Places Based on Geotagged Social-Media Posts. SIGSPATIAL/GIS 2020: 167-170 - [c63]Omer Ben-Porat, Lital Kuchy, Sharon Hirsch, Guy Elad, Roi Reichart, Moshe Tennenholtz:
Predicting Strategic Behavior from Free Text (Extended Abstract). IJCAI 2020: 5020-5024 - [i36]Haim Dubossarsky, Ivan Vulic, Roi Reichart, Anna Korhonen:
Lost in Embedding Space: Explaining Cross-Lingual Task Performance with Eigenvalue Divergence. CoRR abs/2001.11136 (2020) - [i35]Edoardo Maria Ponti, Ivan Vulic, Ryan Cotterell, Marinela Parovic, Roi Reichart, Anna Korhonen:
Parameter Space Factorization for Zero-Shot Learning across Tasks and Languages. CoRR abs/2001.11453 (2020) - [i34]Elad Kravi, Benny Kimelfeld, Yaron Kanza, Roi Reichart:
Automatic Location Type Classification From Social-Media Posts. CoRR abs/2002.01846 (2020) - [i33]Ivan Vulic, Simon Baker, Edoardo Maria Ponti, Ulla Petti, Ira Leviant, Kelly Wing, Olga Majewska, Eden Bar, Matt Malone, Thierry Poibeau, Roi Reichart, Anna Korhonen:
Multi-SimLex: A Large-Scale Evaluation of Multilingual and Cross-Lingual Lexical Semantic Similarity. CoRR abs/2003.04866 (2020) - [i32]Omer Ben-Porat, Sharon Hirsch, Lital Kuchy, Guy Elad, Roi Reichart, Moshe Tennenholtz:
Predicting Strategic Behavior from Free Text. CoRR abs/2004.02973 (2020) - [i31]Dor Ringel, Rotem Dror, Roi Reichart:
The Structured Weighted Violations MIRA. CoRR abs/2005.04418 (2020) - [i30]Daniela Gerz, Ivan Vulic, Marek Rei, Roi Reichart, Anna Korhonen:
Multidirectional Associative Optimization of Function-Specific Word Representations. CoRR abs/2005.05264 (2020) - [i29]Amir Feder, Nadav Oved, Uri Shalit, Roi Reichart:
CausaLM: Causal Model Explanation Through Counterfactual Language Models. CoRR abs/2005.13407 (2020) - [i28]Eyal Ben-David, Carmel Rabinovitz, Roi Reichart:
PERL: Pivot-based Domain Adaptation for Pre-trained Deep Contextualized Embedding Models. CoRR abs/2006.09075 (2020) - [i27]Eyal Ben-David, Orgad Keller, Eric Malmi, Idan Szpektor, Roi Reichart:
Semantically Driven Sentence Fusion: Modeling and Evaluation. CoRR abs/2010.02592 (2020) - [i26]Reut Apel, Ido Erev, Roi Reichart, Moshe Tennenholtz:
Predicting Decisions in Language Based Persuasion Games. CoRR abs/2012.09966 (2020) - [i25]Mengjie Zhao, Yi Zhu, Ehsan Shareghi, Roi Reichart, Anna Korhonen, Hinrich Schütze:
A Closer Look at Few-Shot Crosslingual Transfer: Variance, Benchmarks and Baselines. CoRR abs/2012.15682 (2020)
2010 – 2019
- 2019
- [j9]Edoardo Maria Ponti, Helen O'Horan, Yevgeni Berzak, Ivan Vulic, Roi Reichart, Thierry Poibeau, Ekaterina Shutova, Anna Korhonen:
Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processing. Comput. Linguistics 45(3): 559-601 (2019) - [j8]Amichay Doitch, Ram Yazdi, Tamir Hazan, Roi Reichart:
Perturbation Based Learning for Structured NLP Tasks with Application to Dependency Parsing. Trans. Assoc. Comput. Linguistics 7: 643-659 (2019) - [j7]Guy Rotman, Roi Reichart:
Deep Contextualized Self-training for Low Resource Dependency Parsing. Trans. Assoc. Comput. Linguistics 7: 695-713 (2019) - [c62]Rotem Dror, Segev Shlomov, Roi Reichart:
Deep Dominance - How to Properly Compare Deep Neural Models. ACL (1) 2019: 2773-2785 - [c61]Ofer Givoli, Roi Reichart:
Zero-Shot Semantic Parsing for Instructions. ACL (1) 2019: 4454-4464 - [c60]Yftah Ziser, Roi Reichart:
Task Refinement Learning for Improved Accuracy and Stability of Unsupervised Domain Adaptation. ACL (1) 2019: 5895-5906 - [c59]Yi Zhu, Benjamin Heinzerling, Ivan Vulic, Michael Strube, Roi Reichart, Anna Korhonen:
On the Importance of Subword Information for Morphological Tasks in Truly Low-Resource Languages. CoNLL 2019: 216-226 - [c58]Edoardo Maria Ponti, Ivan Vulic, Goran Glavas, Roi Reichart, Anna Korhonen:
Cross-lingual Semantic Specialization via Lexical Relation Induction. EMNLP/IJCNLP (1) 2019: 2206-2217 - [c57]Edoardo Maria Ponti, Ivan Vulic, Ryan Cotterell, Roi Reichart, Anna Korhonen:
Towards Zero-shot Language Modeling. EMNLP/IJCNLP (1) 2019: 2900-2910 - [c56]Ivan Vulic, Goran Glavas, Roi Reichart, Anna Korhonen:
Do We Really Need Fully Unsupervised Cross-Lingual Embeddings? EMNLP/IJCNLP (1) 2019: 4406-4417 - [c55]Golan Levy, Raquel Sitman, Ido Amir, Eduard Golshtein, Ran Mochary, Eilon Reshef, Roi Reichart, Omri Allouche:
GECKO - A Tool for Effective Annotation of Human Conversations. INTERSPEECH 2019: 3677-3678 - [c54]Ehsan Shareghi, Yingzhen Li, Yi Zhu, Roi Reichart, Anna Korhonen:
Bayesian Learning for Neural Dependency Parsing. NAACL-HLT (1) 2019: 3509-3519 - [i24]Ivan Vulic, Goran Glavas, Roi Reichart, Anna Korhonen:
Do We Really Need Fully Unsupervised Cross-Lingual Embeddings? CoRR abs/1909.01638 (2019) - [i23]Yi Zhu, Benjamin Heinzerling, Ivan Vulic, Michael Strube, Roi Reichart, Anna Korhonen:
On the Importance of Subword Information for Morphological Tasks in Truly Low-Resource Languages. CoRR abs/1909.12375 (2019) - [i22]Nadav Oved, Amir Feder, Roi Reichart:
Predicting In-game Actions From the Language of NBA Players. CoRR abs/1910.11292 (2019) - [i21]Guy Rotman, Roi Reichart:
Deep Contextualized Self-training for Low Resource Dependency Parsing. CoRR abs/1911.04286 (2019) - [i20]Ofer Givoli, Roi Reichart:
Zero-Shot Semantic Parsing for Instructions. CoRR abs/1911.08827 (2019) - 2018
- [j6]Daniela Gerz, Ivan Vulic, Edoardo Maria Ponti, Jason Naradowsky, Roi Reichart, Anna Korhonen:
Language Modeling for Morphologically Rich Languages: Character-Aware Modeling for Word-Level Prediction. Trans. Assoc. Comput. Linguistics 6: 451-465 (2018) - [c53]Guy Rotman, Ivan Vulic, Roi Reichart:
Bridging Languages through Images with Deep Partial Canonical Correlation Analysis. ACL (1) 2018: 910-921 - [c52]Rotem Dror, Gili Baumer, Segev Shlomov, Roi Reichart:
The Hitchhiker's Guide to Testing Statistical Significance in Natural Language Processing. ACL (1) 2018: 1383-1392 - [c51]Edoardo Maria Ponti, Roi Reichart, Anna Korhonen, Ivan Vulic:
Isomorphic Transfer of Syntactic Structures in Cross-Lingual NLP. ACL (1) 2018: 1531-1542 - [c50]Yftah Ziser, Roi Reichart:
Deep Pivot-Based Modeling for Cross-language Cross-domain Transfer with Minimal Guidance. EMNLP 2018: 238-249 - [c49]Daniela Gerz, Ivan Vulic, Edoardo Maria Ponti, Roi Reichart, Anna Korhonen:
On the Relation between Linguistic Typology and (Limitations of) Multilingual Language Modeling. EMNLP 2018: 316-327 - [c48]Rivka Malca, Roi Reichart:
Neural Transition Based Parsing of Web Queries: An Entity Based Approach. EMNLP 2018: 2700-2710 - [c47]Yftah Ziser, Roi Reichart:
Pivot Based Language Modeling for Improved Neural Domain Adaptation. NAACL-HLT 2018: 1241-1251 - [i19]Edoardo Maria Ponti, Helen O'Horan, Yevgeni Berzak, Ivan Vulic, Roi Reichart, Thierry Poibeau, Ekaterina Shutova, Anna Korhonen:
Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processing. CoRR abs/1807.00914 (2018) - [i18]Rotem Dror, Roi Reichart:
Appendix - Recommended Statistical Significance Tests for NLP Tasks. CoRR abs/1809.01448 (2018) - 2017
- [j5]Nikola Mrksic, Ivan Vulic, Diarmuid Ó Séaghdha, Ira Leviant, Roi Reichart, Milica Gasic, Anna Korhonen, Steve J. Young:
Semantic Specialization of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints. Trans. Assoc. Comput. Linguistics 5: 309-324 (2017) - [j4]Rotem Dror, Gili Baumer, Marina Bogomolov, Roi Reichart:
Replicability Analysis for Natural Language Processing: Testing Significance with Multiple Datasets. Trans. Assoc. Comput. Linguistics 5: 471-486 (2017) - [c46]Ivan Vulic, Nikola Mrksic, Roi Reichart, Diarmuid Ó Séaghdha, Steve J. Young, Anna Korhonen:
Morph-fitting: Fine-Tuning Word Vector Spaces with Simple Language-Specific Rules. ACL (1) 2017: 56-68 - [c45]Lotem Peled, Roi Reichart:
Sarcasm SIGN: Interpreting Sarcasm with Sentiment Based Monolingual Machine Translation. ACL (1) 2017: 1690-1700 - [c44]Ivan Vulic, Roy Schwartz, Ari Rappoport, Roi Reichart, Anna Korhonen:
Automatic Selection of Context Configurations for Improved Class-Specific Word Representations. CoNLL 2017: 112-122 - [c43]Yftah Ziser, Roi Reichart:
Neural Structural Correspondence Learning for Domain Adaptation. CoNLL 2017: 400-410 - [e2]Samuel R. Bowman, Yoav Goldberg, Felix Hill, Angeliki Lazaridou, Omer Levy, Roi Reichart, Anders Søgaard:
Proceedings of the 2nd Workshop on Evaluating Vector Space Representations for NLP, RepEval@EMNLP 2017, Copenhagen, Denmark, September 8, 2017. Association for Computational Linguistics 2017, ISBN 978-1-945626-90-6 [contents] - [i17]Lotem Peled, Roi Reichart:
Sarcasm SIGN: Interpreting Sarcasm with Sentiment Based Monolingual Machine Translation. CoRR abs/1704.06836 (2017) - [i16]Nikola Mrksic, Ivan Vulic, Diarmuid Ó Séaghdha, Ira Leviant, Roi Reichart, Milica Gasic, Anna Korhonen, Steve J. Young:
Semantic Specialisation of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints. CoRR abs/1706.00374 (2017) - [i15]Ivan Vulic, Nikola Mrksic, Roi Reichart, Diarmuid Ó Séaghdha, Steve J. Young, Anna Korhonen:
Morph-fitting: Fine-Tuning Word Vector Spaces with Simple Language-Specific Rules. CoRR abs/1706.00377 (2017) - [i14]Rotem Dror, Gili Baumer, Marina Bogomolov, Roi Reichart:
Replicability Analysis for Natural Language Processing: Testing Significance with Multiple Datasets. CoRR abs/1709.09500 (2017) - 2016
- [c42]Effi Levi, Roi Reichart, Ari Rappoport:
Edge-Linear First-Order Dependency Parsing with Undirected Minimum Spanning Tree Inference. ACL (1) 2016 - [c41]Daniel Furman, Roi Reichart, Hillel Pratt:
Finger flexion imagery: EEG classification through physiologically-inspired feature extraction and hierarchical voting. BCI 2016: 1-4 - [c40]Helen O'Horan, Yevgeni Berzak, Ivan Vulic, Roi Reichart, Anna Korhonen:
Survey on the Use of Typological Information in Natural Language Processing. COLING 2016: 1297-1308 - [c39]Rotem Dror, Roi Reichart:
The Structured Weighted Violations Perceptron Algorithm. EMNLP 2016: 469-478 - [c38]Ilan Tchernowitz, Liron Yedidsion, Roi Reichart:
Effective Greedy Inference for Graph-based Non-Projective Dependency Parsing. EMNLP 2016: 711-720 - [c37]Daniela Gerz, Ivan Vulic, Felix Hill, Roi Reichart, Anna Korhonen:
SimVerb-3500: A Large-Scale Evaluation Set of Verb Similarity. EMNLP 2016: 2173-2182 - [c36]Roy Schwartz, Roi Reichart, Ari Rappoport:
Symmetric Patterns and Coordinations: Fast and Enhanced Representations of Verbs and Adjectives. HLT-NAACL 2016: 499-505 - [c35]Yuval Pinter, Roi Reichart, Idan Szpektor:
Syntactic Parsing of Web Queries with Question Intent. HLT-NAACL 2016: 670-680 - [i13]Rotem Dror, Roi Reichart:
The Structured Weighted Violations Perceptron Algorithm. CoRR abs/1602.03040 (2016) - [i12]Yevgeni Berzak, Roi Reichart, Boris Katz:
Contrastive Analysis with Predictive Power: Typology Driven Estimation of Grammatical Error Distributions in ESL. CoRR abs/1603.07609 (2016) - [i11]Yuval Pinter, Roi Reichart, Idan Szpektor:
The Yahoo Query Treebank, V. 1.0. CoRR abs/1605.02945 (2016) - [i10]Daniela Gerz, Ivan Vulic, Felix Hill, Roi Reichart, Anna Korhonen:
SimVerb-3500: A Large-Scale Evaluation Set of Verb Similarity. CoRR abs/1608.00869 (2016) - [i9]Ivan Vulic, Roy Schwartz, Ari Rappoport, Roi Reichart, Anna Korhonen:
Automatic Selection of Context Configurations for Improved (and Fast) Class-Specific Word Representations. CoRR abs/1608.05528 (2016) - [i8]Lilach Edelstein, Roi Reichart:
A Factorized Model for Transitive Verbs in Compositional Distributional Semantics. CoRR abs/1609.07756 (2016) - [i7]Hagar Loeub, Roi Reichart:
Effective Combination of Language and Vision Through Model Composition and the R-CCA Method. CoRR abs/1609.08810 (2016) - [i6]Yftah Ziser, Roi Reichart:
Neural Structural Correspondence Learning for Domain Adaptation. CoRR abs/1610.01588 (2016) - [i5]Helen O'Horan, Yevgeni Berzak, Ivan Vulic, Roi Reichart, Anna Korhonen:
Survey on the Use of Typological Information in Natural Language Processing. CoRR abs/1610.03349 (2016) - 2015
- [j3]Felix Hill, Roi Reichart, Anna Korhonen:
SimLex-999: Evaluating Semantic Models With (Genuine) Similarity Estimation. Comput. Linguistics 41(4): 665-695 (2015) - [j2]Yufan Guo, Roi Reichart, Anna Korhonen:
Unsupervised Declarative Knowledge Induction for Constraint-Based Learning of Information Structure in Scientific Documents. Trans. Assoc. Comput. Linguistics 3: 131-143 (2015) - [c34]Yevgeni Berzak, Roi Reichart, Boris Katz:
Contrastive Analysis with Predictive Power: Typology Driven Estimation of Grammatical Error Distributions in ESL. CoNLL 2015: 94-102 - [c33]Roy Schwartz, Roi Reichart, Ari Rappoport:
Symmetric Pattern Based Word Embeddings for Improved Word Similarity Prediction. CoNLL 2015: 258-267 - [i4]Ira Leviant, Roi Reichart:
Judgment Language Matters: Multilingual Vector Space Models for Judgment Language Aware Lexical Semantics. CoRR abs/1508.00106 (2015) - [i3]Effi Levi, Roi Reichart, Ari Rappoport:
Edge-Linear First-Order Dependency Parsing with Undirected Minimum Spanning Tree Inference. CoRR abs/1510.07482 (2015) - 2014
- [j1]Felix Hill, Roi Reichart, Anna Korhonen:
Multi-Modal Models for Concrete and Abstract Concept Meaning. Trans. Assoc. Comput. Linguistics 2: 285-296 (2014) - [c32]Roy Schwartz, Roi Reichart, Ari Rappoport:
Minimally Supervised Classification to Semantic Categories using Automatically Acquired Symmetric Patterns. COLING 2014: 1612-1623 - [c31]Yevgeni Berzak, Roi Reichart, Boris Katz:
Reconstructing Native Language Typology from Foreign Language Usage. CoNLL 2014: 21-29 - [c30]Simon Baker, Roi Reichart, Anna Korhonen:
An Unsupervised Model for Instance Level Subcategorization Acquisition. EMNLP 2014: 278-289 - [i2]Yevgeni Berzak, Roi Reichart, Boris Katz:
Reconstructing Native Language Typology from Foreign Language Usage. CoRR abs/1404.6312 (2014) - [i1]Felix Hill, Roi Reichart, Anna Korhonen:
SimLex-999: Evaluating Semantic Models with (Genuine) Similarity Estimation. CoRR abs/1408.3456 (2014) - 2013
- [c29]Roi Reichart, Anna Korhonen:
Improved Lexical Acquisition through DPP-based Verb Clustering. ACL (1) 2013: 862-872 - [c28]Yufan Guo, Roi Reichart, Anna Korhonen:
Improved Information Structure Analysis of Scientific Documents Through Discourse and Lexical Constraints. HLT-NAACL 2013: 928-937 - 2012
- [c27]Yufan Guo, Ilona Silins, Roi Reichart, Anna Korhonen:
CRAB Reader: A Tool for Analysis and Visualization of Argumentative Zones in Scientific Literature. COLING (Demos) 2012: 183-190 - [c26]Roi Reichart, Anna Korhonen:
Document and Corpus Level Inference For Unsupervised and Transductive Learning of Information Structure of Scientific Documents. COLING (Posters) 2012: 995-1006 - [c25]Roi Reichart, Gal Elidan, Ari Rappoport:
A Diverse Dirichlet Process Ensemble for Unsupervised Induction of Syntactic Categories. COLING 2012: 2307-2324 - [c24]Yuan Zhang, Roi Reichart, Regina Barzilay, Amir Globerson:
Learning to Map into a Universal POS Tagset. EMNLP-CoNLL 2012: 1368-1378 - [c23]Alexander M. Rush, Roi Reichart, Michael Collins, Amir Globerson:
Improved Parsing and POS Tagging Using Inter-Sentence Consistency Constraints. EMNLP-CoNLL 2012: 1434-1444 - [c22]Karthik Dinakar, Birago Jones, Henry Lieberman, Rosalind W. Picard, Carolyn Penstein Rosé, Matthew Thoman, Roi Reichart:
You Too?! Mixed-Initiative LDA Story Matching to Help Teens in Distress. ICWSM 2012 - [c21]Roi Reichart, Regina Barzilay:
Multi-Event Extraction Guided by Global Constraints. HLT-NAACL 2012: 70-79 - 2011
- [c20]Roy Schwartz, Omri Abend, Roi Reichart, Ari Rappoport:
Neutralizing Linguistically Problematic Annotations in Unsupervised Dependency Parsing Evaluation. ACL 2011: 663-672 - [c19]Dan Goldwasser, Roi Reichart, James Clarke, Dan Roth:
Confidence Driven Unsupervised Semantic Parsing. ACL 2011: 1486-1495 - [c18]Karthik Dinakar, Roi Reichart, Henry Lieberman:
Modeling the Detection of Textual Cyberbullying. The Social Mobile Web 2011 - [e1]Omri Abend, Anna Korhonen, Ari Rappoport, Roi Reichart:
Proceedings of the First workshop on Unsupervised Learning in NLP@EMNLP 2011, Edinburgh, Scotland, July 30, 2011. Association for Computational Linguistics 2011, ISBN 978-1-937284-13-8 [contents] - 2010
- [b1]Roi Reichart:
Semi-supervised natural language acquisition (למידה מפוקחת למחצה של שפה טבעית על ידי מחשב.; למידה מפקחת למחצה של שפה טבעית על ידי מחשב.). Hebrew University of Jerusalem, Israel, 2010 - [c17]Omri Abend, Roi Reichart, Ari Rappoport:
Improved Unsupervised POS Induction through Prototype Discovery. ACL 2010: 1298-1307 - [c16]Shulamit Umansky-Pesin, Roi Reichart, Ari Rappoport:
A Multi-Domain Web-Based Algorithm for POS Tagging of Unknown Words. COLING (Posters) 2010: 1274-1282 - [c15]Roi Reichart, Raanan Fattal, Ari Rappoport:
Improved Unsupervised POS Induction Using Intrinsic Clustering Quality and a Zipfian Constraint. CoNLL 2010: 57-66 - [c14]Roi Reichart, Omri Abend, Ari Rappoport:
Type Level Clustering Evaluation: New Measures and a POS Induction Case Study. CoNLL 2010: 77-87 - [c13]Roi Reichart, Ari Rappoport:
Tense Sense Disambiguation: A New Syntactic Polysemy Task. EMNLP 2010: 325-334 - [c12]Roi Reichart, Ari Rappoport:
Improved Fully Unsupervised Parsing with Zoomed Learning. EMNLP 2010: 684-693
2000 – 2009
- 2009
- [c11]Omri Abend, Roi Reichart, Ari Rappoport:
Unsupervised Argument Identification for Semantic Role Labeling. ACL/IJCNLP 2009: 28-36 - [c10]Roi Reichart, Ari Rappoport:
Sample Selection for Statistical Parsers: Cognitively Driven Algorithms and Evaluation Measures. CoNLL 2009: 3-11 - [c9]Dmitry Davidov, Roi Reichart, Ari Rappoport:
Superior and Efficient Fully Unsupervised Pattern-based Concept Acquisition Using an Unsupervised Parser. CoNLL 2009: 48-56 - [c8]Roi Reichart, Ari Rappoport:
Automatic Selection of High Quality Parses Created By a Fully Unsupervised Parser. CoNLL 2009: 156-164 - [c7]Roi Reichart, Ari Rappoport:
The NVI Clustering Evaluation Measure. CoNLL 2009: 165-173 - 2008
- [c6]Roi Reichart, Katrin Tomanek, Udo Hahn, Ari Rappoport:
Multi-Task Active Learning for Linguistic Annotations. ACL 2008: 861-869 - [c5]Vivek Srikumar, Roi Reichart, Mark Sammons, Ari Rappoport, Dan Roth:
Extraction of Entailed Semantic Relations Through Syntax-Based Comma Resolution. ACL 2008: 1030-1038 - [c4]Omri Abend, Roi Reichart, Ari Rappoport:
A Supervised Algorithm for Verb Disambiguation into VerbNet Classes. COLING 2008: 9-16 - [c3]Roi Reichart, Ari Rappoport:
Unsupervised Induction of Labeled Parse Trees by Clustering with Syntactic Features. COLING 2008: 721-728 - 2007
- [c2]Roi Reichart, Ari Rappoport:
An Ensemble Method for Selection of High Quality Parses. ACL 2007 - [c1]Roi Reichart, Ari Rappoport:
Self-Training for Enhancement and Domain Adaptation of Statistical Parsers Trained on Small Datasets. ACL 2007
Coauthor Index
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