Roy Bar-Haim  Roy Bar-Haim photo         

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Senior Technical Staff Member (STSM), Natural Language Processing
IBM Research AI



Project Debater APIs: Decomposing the AI Grand Challenge
Roy Bar-Haim, Yoav Kantor, Elad Venezian, Yoav Katz and Noam Slonim
EMNLP (Demonstration Track), 2021

Advances in Debating Technologies: Building AI That Can Debate Humans
Roy Bar-Haim, Liat Ein-Dor, Matan Orbach, Elad Venezian, Noam Slonim
ACL-IJCNLP: Tutorial Abstracts, 2021

AI-Assisted Security Controls Mapping for Clouds Built for Regulated Workloads
Vikas Agarwal, Roy Bar-Haim, Lilach Eden, Nisha Gupta, Yoav Kantor and Arun Kumar

Every Bite Is an Experience: Key Point Analysis of Business Reviews
Roy Bar-Haim, Lilach Eden, Yoav Kantor, Roni Friedman, Noam Slonim

An autonomous debating system
Noam Slonim, Yonatan Bilu, Carlos Alzate, Roy Bar-Haim, ..., and Ranit Aharonov
Nature, 2021


Quantitative Argument Summarization and Beyond: Cross-Domain Key Point Analysis
Roy Bar-Haim, Yoav Kantor, Lilach Eden, Roni Friedman, Dan Lahav and Noam Slonim
EMNLP, 2020

From Arguments to Key Points: Towards Automatic Argument Summarization
Roy Bar-Haim, Lilach Eden, Roni Friedman, Yoav Kantor, Dan Lahav, Noam Slonim
ACL, 2020


From Surrogacy to Adoption; From Bitcoin to Cryptocurrency: Debate Topic Expansion
Roy Bar-Haim, Dalia Krieger, Orith Toledo-Ronen, Lilach Edelstein, Yonatan Bilu, Alon Halfon, Yoav Katz, Amir Menczel, Ranit Aharonov and Noam Slonim
ACL, 2019


Learning Sentiment Composition from Sentiment Lexicons
Orith Toledo-Ronen, Roy Bar-Haim, Alon Halfon, Charles Jochim, Amir Menczel, Ranit Aharonov and Noam Slonim
COLING, 2018

SLIDE - a Sentiment Lexicon of Common Idioms
Charles Jochim, Francesca Bonin, Roy Bar-Haim, Noam Slonim
LREC, 2018


Improving Claim Stance Classification with Lexical Knowledge Expansion and Context Utilization
Roy Bar-Haim, Lilach Edelstein, Charles Jochim and Noam Slonim
4th Workshop on Argument Mining at EMNLP, 2017

Stance Classification of Context-Dependent Claims
Roy Bar-Haim, Indrajit Bhattacharya, Francesco Dinuzzo, Amrita Saha and Noam Slonim
EACL, 2017


Expert Stance Graphs for Computational Argumentation
Orith Toledo-Ronen, Roy Bar-Haim, Noam Slonim
Third Workshop on Argument Mining, ACL, 2016


Knowledge-Based Textual Inference via Parse-Tree Transformations
Roy Bar-Haim, Ido Dagan and Jonathan Berant
Journal of Artificial Intelligence Research (JAIR) 54, 1-57, 2015


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 Khapra, Tamar Lavee, Ran Levy, Paul Matchen, Anatoly Polnarov, Vikas Raykar, Ruty Rinott, Amrita Saha, Naama Zwerdling,
Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: System Demonstrations, pp. 6--9, Dublin City University and Association for Computational Linguistics

Benchmarking Applied Semantic Inference: The PASCAL Recognising Textual Entailment Challenges.
Roy Bar-Haim, Ido Dagan, and Idan Szpektor
Language, Culture,Computation: Essays Dedicated to Yaacov Choueka, Lecture Notes in Computer Science, pp. 409--424, Springer-Verlag, 2014


The Stock Sonar - Sentiment Analysis of Stocks Based on a Hybrid Approach
Ronen Feldman, Benjamin Rosenfeld, Roy Bar-Haim and Moshe Fresko
Twenty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-11), 2011

Identifying and Following Expert Investors in Stock Microblogs
Roy Bar-Haim, Elad Dinur, Ronen Feldman, Moshe Fresko and Guy Goldstein
EMNLP, 2011


Semantic Inference at the Lexical-Syntactic Level
Roy Bar-Haim
Ph.D Thesis, Computer Science Department, Bar-Ilan University, 2010


Addressing discourse and document structure in the RTE search task
Shachar Mirkin, Roy Bar-Haim, Jonathan Berant, Ido Dagan, Eyal Shnarch, Asher Stern, Idan Szpektor
Proc. of TAC, 2009


Natural Language as the Basis for Meaning Representation and Inference
Ido Dagan, Roy Bar-Haim, Idan Szpektor, Iddo Greental, and Eyal Shnarch

Efficient Semantic Deduction and Approximate Matching over Compact Parse Forests
Roy Bar-Haim, Ido Dagan, Shachar Mirkin, Eyal Shnarch, Idan Szpektor, Jonathan Berant, Iddo Greental
Proceedings of the First Text Analysis Conference, TAC 2008, Gaithersburg, Maryland, USA, November 17-19, 2008

Contextual Preferences
Idan Szpektor, Ido Dagan, Roy Bar-Haim and Jacob Goldberger
ACL, 2008

Part-of-Speech Tagging of Modern Hebrew Text
Roy Bar-Haim, Khalil Sima'an and Yoad Winter
Natural Language Engineering 14(2), 223-251, Cambridge University Press, 2008
(Copyright Cambridge University Press.)


Semantic Inference at the Lexical-Syntactic Level for Textual Entailment Recognition
Roy Bar-Haim, Ido Dagan, Iddo Greental, Idan Szpektor and Moshe Friedman
ACL-PASCAL Workshop on Textual Entailment and Paraphrasing, 2007

Semantic Inference at the Lexical-Syntactic Level
Roy Bar-Haim, Ido Dagan, Iddo Greental and Eyal Shnarch
AAAI, 2007


The Second PASCAL Recognising Textual Entailment Challenge
Roy Bar-Haim, Ido Dagan, Bill Dolan, Lisa Ferro, Danilo Giampiccolo, Bernardo Magnini and Idan Szpektor
Proceedings of the Second PASCAL Recognising Textual Entailment Challenge, 2006


Definition and Analysis of Intermediate Entailment Levels
Roy Bar-Haim, Idan Szpektor and Oren Glickman
ACL Workshop on Empirical Modeling of Semantic Equivalence and Entailment, 2005

Choosing an Optimal Architecture for Segmentation and POS-Tagging of Modern Hebrew
Roy Bar-Haim, Khalil Sima'an and Yoad Winter
ACL Workshop on Computational Approaches to Semitic Languages, 2005

Part-of-Speech Tagging for Hebrew and Other Semitic Languages
Roy Bar-Haim
M.Sc Thesis, Computer Science Department, Technion - Israel Institute of Technology, 2005