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ORCIDRoi Reichart
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- affiliation: Technion-Israel Institute of Technology, Israel
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2020 – today
- 2023
[j22]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)- [c78]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 - [i58]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) - [i57]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) - [i56]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) - [i55]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) - 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 - [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]