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ORCIDMichal Shmueli-Scheuer
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- affiliation: IBM Thomas J. Watson Research Center, Yorktown Heights, USA
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Journal Articles
- 2014
[j3]H. Cao, Weishan Dong, Leslie S. Liu, Chunyang Ma, Weihong Qian, J. W. Shi, Chunhua Tian, Yu Wang, David Konopnicki, Michal Shmueli-Scheuer, Doron Cohen, Natwar Modani, Hemank Lamba, A. Dwivedi, Amit Anil Nanavati, Mohit Kumar:
SoLoMo analytics for telco Big Data monetization. IBM J. Res. Dev. 58(5/6) (2014)- 2013
- [j2]David Konopnicki, Michal Shmueli-Scheuer, Doron Cohen, Benjamin Sznajder, Jonathan Herzig, Ariel Raviv, N. Zwerling, Haggai Roitman, Yosi Mass:
A statistical approach to mining customers' conversational data from social media. IBM J. Res. Dev. 57(3/4): 14 (2013) - 2006
- [j1]Amitabha Bagchi, Amitabh Chaudhary, Michael T. Goodrich, Chen Li, Michal Shmueli-Scheuer:
Achieving Communication Efficiency through Push-Pull Partitioning of Semantic Spaces to Disseminate Dynamic Information. IEEE Trans. Knowl. Data Eng. 18(10): 1352-1367 (2006)
Conference and Workshop Papers
- 2023
- [c38]Yotam Perlitz, Dafna Sheinwald, Noam Slonim, Michal Shmueli-Scheuer:
nBIIG: A Neural BI Insights Generation System for Table Reporting. AAAI 2023: 16470-16472 - [c37]Yotam Perlitz, Ariel Gera, Michal Shmueli-Scheuer, Dafna Sheinwald, Noam Slonim, Liat Ein-Dor:
Active Learning for Natural Language Generation. EMNLP 2023: 9862-9877 - [c36]Odellia Boni
, Sara Rosenthal, Ora Peled Nakash, Michal Shmueli-Scheuer:
Tell Me More? Can AI Enhance User Experience for List Answers? IUI Companion 2023: 134-137 - 2022
- [c35]Elron Bandel, Ranit Aharonov, Michal Shmueli-Scheuer, Ilya Shnayderman, Noam Slonim, Liat Ein-Dor:
Quality Controlled Paraphrase Generation. ACL (1) 2022: 596-609 - [c34]Arman Cohan, Guy Feigenblat, Dayne Freitag, Tirthankar Ghosal, Drahomira Herrmannova, Petr Knoth, Kyle Lo, Philipp Mayr, Michal Shmueli-Scheuer, Anita de Waard, Lucy Lu Wang:
Overview of the Third Workshop on Scholarly Document Processing. SDP@COLING 2022: 1-6 - [c33]Arman Cohan, Guy Feigenblat, Tirthankar Ghosal, Michal Shmueli-Scheuer:
Overview of the First Shared Task on Multi Perspective Scientific Document Summarization (MuP). SDP@COLING 2022: 263-267 - 2020
- [c32]Muthu Kumar Chandrasekaran, Guy Feigenblat, Dayne Freitag, Tirthankar Ghosal, Eduard H. Hovy, Philipp Mayr, Michal Shmueli-Scheuer, Anita de Waard:
Overview of the First Workshop on Scholarly Document Processing (SDP). SDP@EMNLP 2020: 1-6 - [c31]Muthu Kumar Chandrasekaran, Guy Feigenblat, Eduard H. Hovy, Abhilasha Ravichander, Michal Shmueli-Scheuer, Anita de Waard:
Overview and Insights from the Shared Tasks at Scholarly Document Processing 2020: CL-SciSumm, LaySumm and LongSumm. SDP@EMNLP 2020: 214-224 - [c30]Michal Shmueli-Scheuer, Ron Artstein, Yasaman Khazaeni, Hao Fang, Q. Vera Liao:
user2agent: 2nd Workshop on User-Aware Conversational Agents. IUI Companion 2020: 9-10 - 2019
- [c29]Guy Lev, Michal Shmueli-Scheuer, Jonathan Herzig, Achiya Jerbi, David Konopnicki:
TalkSumm: A Dataset and Scalable Annotation Method for Scientific Paper Summarization Based on Conference Talks. ACL (1) 2019: 2125-2131 - [c28]Shai Erera, Michal Shmueli-Scheuer, Guy Feigenblat, Ora Peled Nakash, Odellia Boni, Haggai Roitman, Doron Cohen, Bar Weiner, Yosi Mass, Or Rivlin, Guy Lev, Achiya Jerbi, Jonathan Herzig, Yufang Hou, Charles Jochim, Martin Gleize, Francesca Bonin, David Konopnicki:
A Summarization System for Scientific Documents. EMNLP/IJCNLP (3) 2019: 211-216 - [c27]Q. Vera Liao, Michal Shmueli-Scheuer, Tsung-Hsien (Shawn) Wen, Zhou Yu:
User-aware conversational agents. IUI Companion 2019: 133-134 - [c26]Jonathan Herzig, Tommy Sandbank, Michal Shmueli-Scheuer, David Konopnicki:
Bot2Vec: Learning Representations of Chatbots. *SEM@NAACL-HLT 2019: 75-84 - [c25]Michal Shmueli-Scheuer, Jonathan Herzig, David Konopnicki, Tommy Sandbank:
Detecting Persuasive Arguments based on Author-Reader Personality Traits and their Interaction. UMAP 2019: 211-215 - 2018
- [c24]Michal Shmueli-Scheuer, Tommy Sandbank, David Konopnicki, Ora Peled Nakash:
Exploring the Universe of Egregious Conversations in Chatbots. IUI Companion 2018: 16:1-16:2 - [c23]Michal Shmueli-Scheuer, Jonathan Herzig, Tommy Sandbank, David Konopnicki:
On the Expression of Agent Emotions in Customer Support Dialogs in Social Media. IUI Companion 2018: 43:1-43:2 - [c22]Tommy Sandbank, Michal Shmueli-Scheuer, Jonathan Herzig, David Konopnicki, John T. Richards, David Piorkowski:
Detecting Egregious Conversations between Customers and Virtual Agents. NAACL-HLT 2018: 1802-1811 - 2017
- [c21]Jonathan Herzig, Michal Shmueli-Scheuer, David Konopnicki:
Emotion Detection from Text via Ensemble Classification Using Word Embeddings. ICTIR 2017: 269-272 - [c20]Jonathan Herzig, Michal Shmueli-Scheuer, Tommy Sandbank, David Konopnicki:
Neural Response Generation for Customer Service based on Personality Traits. INLG 2017: 252-256 - [c19]Tommy Sandbank, Michal Shmueli-Scheuer, Jonathan Herzig, David Konopnicki, Rottem Shaul:
EHCTool: Managing Emotional Hotspots for Conversational Agents. IUI Companion 2017: 125-128 - 2016
- [c18]Guy Feigenblat, David Konopnicki, Michal Shmueli-Scheuer, Jonathan Herzig, Hen Shkedi:
I Understand Your Frustration. CSCW Companion 2016: 25-28 - [c17]Jonathan Herzig, Guy Feigenblat, Michal Shmueli-Scheuer, David Konopnicki, Anat Rafaeli, Daniel Altman, David Spivak:
Classifying Emotions in Customer Support Dialogues in Social Media. SIGDIAL Conference 2016: 64-73 - [c16]Jonathan Herzig, Guy Feigenblat, Michal Shmueli-Scheuer, David Konopnicki, Anat Rafaeli:
Predicting Customer Satisfaction in Customer Support Conversations in Social Media Using Affective Features. UMAP 2016: 115-119 - 2014
- [c15]Haggai Roitman, Gilad Barkai, David Konopnicki, Michal Shmueli-Scheuer:
Harnessing the crowds for multi-channel marketing monitoring. ICDE Workshops 2014: 111-114 - [c14]Guy Feigenblat, Jonathan Herzig, Michal Shmueli-Scheuer, David Konopnicki:
Mindful: A Platform for Large-Scale Affective Field Research. ImmersiveMe@MM 2014: 45-48 - [c13]Haggai Roitman, Shay Hummel, Michal Shmueli-Scheuer:
A fusion approach to cluster labeling. SIGIR 2014: 883-886 - 2012
- [c12]Bogdan Alexe, Mauricio A. Hernández, Kirsten Hildrum, Rajasekar Krishnamurthy, Georgia Koutrika, Meenakshi Nagarajan, Haggai Roitman, Michal Shmueli-Scheuer, Ioana Roxana Stanoi, Chitra Venkatramani, Rohit Wagle:
Surfacing time-critical insights from social media. SIGMOD Conference 2012: 657-660 - 2011
- [c11]Yosi Mass, Yehoshua Sagiv, Michal Shmueli-Scheuer:
KMV-peer: a robust and adaptive peer-selection algorithm. WSDM 2011: 157-166 - 2010
- [c10]Yosi Mass, Yehoshua Sagiv, Michal Shmueli-Scheuer:
A peer-selection algorithm for information retrieval. CIKM 2010: 1601-1604 - [c9]Michal Shmueli-Scheuer, Haggai Roitman, David Carmel, Yosi Mass, David Konopnicki:
Extracting user profiles from large scale data. MDAC@WWW 2010: 4:1-4:6 - 2009
- [c8]Yosi Mass, Yehoshua Sagiv, Michal Shmueli-Scheuer:
A scalable and effective full-text search in P2P networks. CIKM 2009: 1979-1982 - [c7]Michal Shmueli-Scheuer, Chen Li, Yosi Mass, Haggai Roitman, Ralf Schenkel, Gerhard Weikum:
Best-Effort Top-k Query Processing Under Budgetary Constraints. ICDE 2009: 928-939 - [c6]Paolo Bolettieri, Fabrizio Falchi, Claudio Lucchese, Yosi Mass, Raffaele Perego, Fausto Rabitti, Michal Shmueli-Scheuer:
Searching 100M Images by Content Similarity. IRCDL 2009: 88-99 - [c5]Jonathan Mamou, Yosi Mass, Michal Shmueli-Scheuer, Benjamin Sznajder:
A unified inverted index for an efficient image and text retrieval. SIGIR 2009: 814-815 - 2008
- [c4]Houtan Shirani-Mehr, Chen Li, Gang Liang, Michal Shmueli-Scheuer:
Quality-Aware Retrieval of Data Objects from Autonomous Sources for Web-Based Repositories. ICDE 2008: 1492-1494 - 2007
- [c3]Michal Shmueli-Scheuer, Amitabh Chaudhary, Avigdor Gal, Chen Li:
Communication-Efficient Query Answering with Quality Guarantees in Client-Server Applications. WebDB 2007 - 2005
- [c2]Ramaswamy Hariharan, Michal Shmueli-Scheuer, Chen Li, Sharad Mehrotra:
Quality-driven approximate methods for integrating GIS data. GIS 2005: 97-104 - 2002
- [c1]Michal Shmueli, Opher Etzion:
Parallel Implementation of Composite Events. ICDCS Workshops 2002: 579-580
Parts in Books or Collections
- 2014
- [p1]David Konopnicki, Michal Shmueli-Scheuer:
Customer Analyst for the Telecom Industry. Large-Scale Data Analytics 2014: 101-127
Editorship
- 2022
- [e3]Arman Cohan, Guy Feigenblat, Dayne Freitag, Tirthankar Ghosal, Drahomira Herrmannova, Petr Knoth, Kyle Lo, Philipp Mayr, Michal Shmueli-Scheuer, Anita de Waard, Lucy Lu Wang:
Proceedings of the Third Workshop on Scholarly Document Processing, SDP@COLING 2022, Gyeongju, Republic of Korea, October 12 - 17, 2022. Association for Computational Linguistics 2022 [contents] - 2021
- [e2]Werner Geyer, Yasaman Khazaeni, Michal Shmueli-Scheuer:
Joint Proceedings of the Workshops on Human-AI Co-Creation with Generative Models and User-Aware Conversational Agents co-located with 25th International Conference on Intelligent User Interfaces (IUI 2020), Cagliari, Italy, March 17, 2020. CEUR Workshop Proceedings 2848, CEUR-WS.org 2021 [contents] - 2020
- [e1]Muthu Kumar Chandrasekaran, Anita de Waard, Guy Feigenblat, Dayne Freitag, Tirthankar Ghosal, Eduard H. Hovy, Petr Knoth, David Konopnicki, Philipp Mayr, Robert M. Patton, Michal Shmueli-Scheuer:
Proceedings of the First Workshop on Scholarly Document Processing, SDP@EMNLP 2020, Online, November 19, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-70-5 [contents]
Informal and Other Publications
- 2024
- [i11]Elron Bandel, Yotam Perlitz, Elad Venezian, Roni Friedman-Melamed, Ofir Arviv, Matan Orbach, Shachar Don-Yehiya, Dafna Sheinwald, Ariel Gera, Leshem Choshen, Michal Shmueli-Scheuer, Yoav Katz:
Unitxt: Flexible, Shareable and Reusable Data Preparation and Evaluation for Generative AI. CoRR abs/2401.14019 (2024) - 2023
- [i10]Yotam Perlitz, Ariel Gera, Michal Shmueli-Scheuer, Dafna Sheinwald, Noam Slonim, Liat Ein-Dor:
Active Learning for Natural Language Generation. CoRR abs/2305.15040 (2023) - [i9]Yotam Perlitz, Elron Bandel, Ariel Gera, Ofir Arviv, Liat Ein-Dor, Eyal Shnarch, Noam Slonim, Michal Shmueli-Scheuer, Leshem Choshen:
Efficient Benchmarking (of Language Models). CoRR abs/2308.11696 (2023) - 2022
- [i8]Elron Bandel, Ranit Aharonov, Michal Shmueli-Scheuer, Ilya Shnayderman, Noam Slonim, Liat Ein-Dor:
Quality Controlled Paraphrase Generation. CoRR abs/2203.10940 (2022) - [i7]Yotam Perlitz, Liat Ein-Dor, Dafna Sheinwald, Noam Slonim, Michal Shmueli-Scheuer:
Diversity Enhanced Table-to-Text Generation via Type Control. CoRR abs/2205.10938 (2022) - [i6]Yotam Perlitz, Dafna Sheinwald, Noam Slonim, Michal Shmueli-Scheuer:
nBIIG: A Neural BI Insights Generation System for Table Reporting. CoRR abs/2211.04417 (2022) - 2021
- [i5]Odellia Boni, Guy Feigenblat, Guy Lev, Michal Shmueli-Scheuer, Benjamin Sznajder, David Konopnicki:
HowSumm: A Multi-Document Summarization Dataset Derived from WikiHow Articles. CoRR abs/2110.03179 (2021) - 2020
- [i4]Guy Lev, Michal Shmueli-Scheuer, Achiya Jerbi, David Konopnicki:
orgFAQ: A New Dataset and Analysis on Organizational FAQs and User Questions. CoRR abs/2009.01460 (2020) - 2019
- [i3]Guy Lev, Michal Shmueli-Scheuer, Jonathan Herzig, Achiya Jerbi, David Konopnicki:
TalkSumm: A Dataset and Scalable Annotation Method for Scientific Paper Summarization Based on Conference Talks. CoRR abs/1906.01351 (2019) - [i2]Shai Erera, Michal Shmueli-Scheuer, Guy Feigenblat, Ora Peled Nakash, Odellia Boni, Haggai Roitman, Doron Cohen, Bar Weiner, Yosi Mass, Or Rivlin, Guy Lev, Achiya Jerbi, Jonathan Herzig, Yufang Hou, Charles Jochim, Martin Gleize, Francesca Bonin, David Konopnicki:
A Summarization System for Scientific Documents. CoRR abs/1908.11152 (2019) - 2017
- [i1]Tommy Sandbank, Michal Shmueli-Scheuer, David Konopnicki, Jonathan Herzig, John T. Richards, David Piorkowski:
Detecting Egregious Conversations between Customers and Virtual Agents. CoRR abs/1711.05780 (2017)
Coauthor Index
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