Lev-Arie Ratinov

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13ranked-venue papers

4as first author

0since 2021 · last 2018

—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 13 · 4 first-authorGraphics, computer vision, multimedia, augmented reality and games · 3Databases, data management, data science and information retrieval · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence 6 papers		Information extraction and text analysis · 48% Transfer learning and domain adaptation · 16% Representation and self-supervised learning · 10%
Theoretical computer science 1 paper		Computational complexity · 100%
Databases, data mining, and information retrieval 1 paper		Knowledge graphs · 100%

Topics — the 11 heaviest of 13, each with the papers that count most for it

Topic	Weight	Papers	Last	Evidence papers
Natural language and speech › Information extraction and text analysis text classification	0.2	2	2008	Text Categorization with Knowledge Transfer from Heterogeneous Data Sources · AAAI 2008 Importance of Semantic Representation: Dataless Classification · AAAI 2008
Natural language and speech › Information extraction and text analysis coreference resolution	0.1	1	2012	Learning-based Multi-Sieve Co-reference Resolution with Knowledge · EMNLP-CoNLL 2012
Natural language and speech › Information extraction and text analysis › entity linking entity disambiguation	0.1	1	2011	Local and Global Algorithms for Disambiguation to Wikipedia · ACL 2011
Machine learning › Learning paradigms semi-supervised learning	0.1	1	2010	Word Representations: A Simple and General Method for Semi-Supervised Learning · ACL 2010
Machine learning › Representation and self-supervised learning word representation	0.1	1	2010	Word Representations: A Simple and General Method for Semi-Supervised Learning · ACL 2010
Machine learning › Reinforcement learning › imitation learning › inverse reinforcement learning constraint inference	0.1	1	2008	Learning and Inference with Constraints · AAAI 2008
Machine learning › Transfer learning and domain adaptation › cross-domain learning cross-domain text classification	0.1	1	2008	Text Categorization with Knowledge Transfer from Heterogeneous Data Sources · AAAI 2008
Natural language and speech › Information extraction and text analysis › text classification › transfer learning for text classification dataless classification	0.1	1	2008	Importance of Semantic Representation: Dataless Classification · AAAI 2008
Machine learning › Transfer learning and domain adaptation › domain adaptation heterogeneous domain adaptation	0.1	1	2008	Text Categorization with Knowledge Transfer from Heterogeneous Data Sources · AAAI 2008
Knowledge, reasoning and agents › Knowledge representation and reasoning semantic representation	0.1	1	2008	Importance of Semantic Representation: Dataless Classification · AAAI 2008
Computational complexity constraint satisfaction	0.1	1	2008	Learning and Inference with Constraints · AAAI 2008

Methods — techniques the papers use, named apart from their topics

local and global algorithms · 0.2multi-sieve · 0.1knowledge · 0.1word embeddings · 0.1knowledge transfer · 0.1

Year	Publication	Venue	Position
2018	CogCompNLP: Your Swiss Army Knife for NLP Daniel Khashabi, Mark Sammons, Ben Zhou, Tom Redman, Christos Christodoulopoulos 0001, Vivek Srikumar, Nick Rizzolo, Lev-Arie Ratinov, Guanheng Luo, Quang Do, Chen-Tse Tsai, Subhro Roy, Stephen Mayhew 0001, Zhili Feng, John Wieting, Xiaodong Yu 0003, Yangqiu Song, Shashank Gupta 0007, Shyam Upadhyay, Naveen Arivazhagan, Qiang Ning, Shaoshi Ling, Dan Roth 0001	LREC	8
2012	Analysis and Enhancement of Wikification for Microblogs with Context Expansion Taylor Cassidy, Heng Ji 0001, Lev-Arie Ratinov, Arkaitz Zubiaga, Hongzhao Huang	COLING	3
2012	Learning-based Multi-Sieve Co-reference Resolution with Knowledge Lev-Arie Ratinov, Dan Roth 0001	EMNLP-CoNLL	1
2012	Structured learning with constrained conditional models Ming-Wei Chang, Lev-Arie Ratinov, Dan Roth 0001	Mach. Learn.	2
2011	Local and Global Algorithms for Disambiguation to Wikipedia Lev-Arie Ratinov, Dan Roth 0001, Doug Downey	ACL	1
2010	Word Representations: A Simple and General Method for Semi-Supervised Learning Joseph P. Turian, Lev-Arie Ratinov, Yoshua Bengio	ACL	2
2009	Design Challenges and Misconceptions in Named Entity Recognition Lev-Arie Ratinov, Dan Roth 0001	CoNLL	1
2008	Learning and Inference with Constraints Ming-Wei Chang, Lev-Arie Ratinov, Nick Rizzolo, Dan Roth 0001	AAAI	2
2008	Importance of Semantic Representation: Dataless Classification Ming-Wei Chang, Lev-Arie Ratinov, Dan Roth 0001, Vivek Srikumar	AAAI	2
2008	Text Categorization with Knowledge Transfer from Heterogeneous Data Sources Rakesh Gupta 0001, Lev-Arie Ratinov	AAAI	2
2008	Learning to Shift the Polarity of Words for Sentiment Classification Daisuke Ikeda, Hiroya Takamura, Lev-Arie Ratinov, Manabu Okumura	IJCNLP	3
2007	Guiding Semi-Supervision with Constraint-Driven Learning Ming-Wei Chang, Lev-Arie Ratinov, Dan Roth 0001	ACL	2
2004	Abbreviation Expansion in Schema Matching and Web Integration abstract Schema matching is a problem of finding correspondences, particularly equivalence relationships across schemas. The problem has a particular significance in integrating web repositories, as distributed databases over the web becomes increasingly popular. Most of the existing prototypes use schema level lexical information for schema matching. However, most of them perform rather poorly on real-world problems due to the abundance of abbreviations in real-world schemas. For example, none of the lexical matchers we tested would recommend a mapping of 'cnum' to 'cid', while 'customer number' and 'customer ID' are matching entities. In this work we propose a method for abbreviation expansion in schemas that facilitates lexical schema matching. Lev-Arie Ratinov, Ehud Gudes	Web Intelligence	1