Lasha Abzianidze

35 papers A* 2B 1Journal 20Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	MERGE: Minimal Expression-Replacement GEneralization Test for Natural Language Inference. CoRR Madalina Zgreaban, Tejaswini Deoskar, Lasha Abzianidze
2024	J	`jnl`	Special Issue of Natural Logic Meets Machine Learning (NALOMA): Selected Papers from the First Three Workshops of NALOMA. J. Log. Lang. Inf. Aikaterini-Lida Kalouli, Lasha Abzianidze, Stergios Chatzikyriakidis
2023	J	`jnl`	Formal Proofs as Structured Explanations: Proposing Several Tasks on Explainable Natural Language Inference. CoRR Lasha Abzianidze
2023	J	`jnl`	SpaceNLI: Evaluating the Consistency of Predicting Inferences in Space. CoRR Lasha Abzianidze, Joost Zwarts, Yoad Winter
2021	J	`jnl`	A Logic-Based Framework for Natural Language Inference in Dutch. CoRR Lasha Abzianidze, Konstantinos Kogkalidis
2020	—	`conf`	DRS at MRP 2020: Dressing up Discourse Representation Structures as Graphs. CoNLL Shared Task Lasha Abzianidze, Johan Bos, Stephan Oepen
2020	J	`jnl`	DRS at MRP 2020: Dressing up Discourse Representation Structures as Graphs. CoRR Lasha Abzianidze, Johan Bos, Stephan Oepen
2020	—	`conf`	Learning as Abduction: Trainable Natural Logic Theorem Prover for Natural Language Inference. *SEM@COLING Lasha Abzianidze
2020	J	`jnl`	Learning as Abduction: Trainable Natural Logic Theorem Prover for Natural Language Inference. CoRR Lasha Abzianidze
2020	—	`conf`	MRP 2020: The Second Shared Task on Cross-Framework and Cross-Lingual Meaning Representation Parsing. CoNLL Shared Task Stephan Oepen, Omri Abend, Lasha Abzianidze, Johan Bos, Jan Hajic, Daniel Hershcovich, Bin Li, Tim O'Gorman, Nianwen Xue, Daniel Zeman
2020	—	`ed.`	Proceedings of the CoNLL 2020 Shared Task: Cross-Framework Meaning Representation Parsing, CoNLL Shared Task 2020, Online, November 19-20, 2020 CoNLL Shared Task Stephan Oepen, Omri Abend, Lasha Abzianidze, Johan Bos, Jan Hajic, Daniel Hershcovich, Bin Li, Tim O'Gorman, Nianwen Xue, Daniel Zeman
2020	J	`jnl`	The First Shared Task on Discourse Representation Structure Parsing. CoRR Lasha Abzianidze, Rik van Noord, Hessel Haagsma, Johan Bos
2020	J	`jnl`	The Parallel Meaning Bank: A Framework for Semantically Annotating Multiple Languages. CoRR Lasha Abzianidze, Rik van Noord, Chunliu Wang, Johan Bos
2020	J	`jnl`	Thirty Musts for Meaning Banking. CoRR Johan Bos, Lasha Abzianidze
2019	—	`conf`	CCGweb: a New Annotation Tool and a First Quadrilingual CCG Treebank. LAW@ACL Kilian Evang, Lasha Abzianidze, Johan Bos
2019	—	`conf`	Can Neural Networks Understand Monotonicity Reasoning? BlackboxNLP@ACL Hitomi Yanaka, Koji Mineshima, Daisuke Bekki, Kentaro Inui, Satoshi Sekine, Lasha Abzianidze, Johan Bos
2019	J	`jnl`	Can neural networks understand monotonicity reasoning? CoRR Hitomi Yanaka, Koji Mineshima, Daisuke Bekki, Kentaro Inui, Satoshi Sekine, Lasha Abzianidze, Johan Bos
2019	—	`conf`	HELP: A Dataset for Identifying Shortcomings of Neural Models in Monotonicity Reasoning. *SEM@NAACL-HLT Hitomi Yanaka, Koji Mineshima, Daisuke Bekki, Kentaro Inui, Satoshi Sekine, Lasha Abzianidze, Johan Bos
2019	J	`jnl`	HELP: A Dataset for Identifying Shortcomings of Neural Models in Monotonicity Reasoning. CoRR Hitomi Yanaka, Koji Mineshima, Daisuke Bekki, Kentaro Inui, Satoshi Sekine, Lasha Abzianidze, Johan Bos
2018	B	`conf`	Evaluating Scoped Meaning Representations. LREC Rik van Noord, Lasha Abzianidze, Hessel Haagsma, Johan Bos
2018	J	`jnl`	Evaluating Scoped Meaning Representations. CoRR Rik van Noord, Lasha Abzianidze, Hessel Haagsma, Johan Bos
2018	J	`jnl`	Exploring Neural Methods for Parsing Discourse Representation Structures. CoRR Rik van Noord, Lasha Abzianidze, Antonio Toral, Johan Bos
2018	J	`jnl`	Exploring Neural Methods for Parsing Discourse Representation Structures. Trans. Assoc. Comput. Linguistics Rik van Noord, Lasha Abzianidze, Antonio Toral, Johan Bos
2018	A*	`conf`	What can we learn from Semantic Tagging? EMNLP Mostafa Abdou, Artur Kulmizev, Vinit Ravishankar, Lasha Abzianidze, Johan Bos
2018	J	`jnl`	What can we learn from Semantic Tagging? CoRR Mostafa Abdou, Artur Kulmizev, Vinit Ravishankar, Lasha Abzianidze, Johan Bos
2017	—	`conf`	LangPro: Natural Language Theorem Prover. EMNLP (System Demonstrations) Lasha Abzianidze
2017	J	`jnl`	LangPro: Natural Language Theorem Prover. CoRR Lasha Abzianidze
2017	J	`jnl`	Sharing Is Caring: The Future of Shared Tasks. Comput. Linguistics Malvina Nissim, Lasha Abzianidze, Kilian Evang, Rob van der Goot, Hessel Haagsma, Barbara Plank, Martijn Wieling
2017	—	`conf`	The Parallel Meaning Bank: Towards a Multilingual Corpus of Translations Annotated with Compositional Meaning Representations. EACL (2) Lasha Abzianidze, Johannes Bjerva, Kilian Evang, Hessel Haagsma, Rik van Noord, Pierre Ludmann, Duc-Duy Nguyen, Johan Bos
2017	J	`jnl`	The Parallel Meaning Bank: Towards a Multilingual Corpus of Translations Annotated with Compositional Meaning Representations. CoRR Lasha Abzianidze, Johannes Bjerva, Kilian Evang, Hessel Haagsma, Rik van Noord, Pierre Ludmann, Duc-Duy Nguyen, Johan Bos
2017	—	`conf`	Towards Universal Semantic Tagging. IWCS(2) Lasha Abzianidze, Johan Bos
2017	J	`jnl`	Towards Universal Semantic Tagging. CoRR Lasha Abzianidze, Johan Bos
2016	—	`conf`	Natural Solution to FraCaS Entailment Problems. *SEM@ACL Lasha Abzianidze
2015	A*	`conf`	A Tableau Prover for Natural Logic and Language. EMNLP Lasha Abzianidze
2014	—	`conf`	Towards a Wide-Coverage Tableau Method for Natural Logic. JSAI-isAI Workshops Lasha Abzianidze

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.