Tadashi Nomoto

38 papers A* 10A 3B 5Journal 9Unranked 11

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Does splitting make sentence easier? Frontiers Artif. Intell. Tadashi Nomoto
2023	J	`jnl`	Keyword Extraction: A Modern Perspective. SN Comput. Sci. Tadashi Nomoto
2023	—	`conf`	RECESS: Resource for Extracting Cause, Effect, and Signal Spans. IJCNLP (1) Fiona Anting Tan, Hansi Hettiarachchi, Ali Hürriyetoglu, Nelleke Oostdijk, Tommaso Caselli, Tadashi Nomoto, Onur Uca, Farhana Ferdousi Liza, See-Kiong Ng
2023	J	`jnl`	The Fewer Splits are Better: Deconstructing Readability in Sentence Splitting. CoRR Tadashi Nomoto
2022	—	`conf`	Extended Multilingual Protest News Detection - Shared Task 1, CASE 2021 and 2022. CASE@EMNLP Ali Hürriyetoglu, Osman Mutlu, Firat Durusan, Onur Uca, Alaeddin Selçuk Gürel, Benjamin J. Radford, Yaoyao Dai, Hansi Hettiarachchi, Niklas Stoehr, Tadashi Nomoto, Milena Slavcheva, Francielle Vargas, Aaqib Javid, Fatih Beyhan, Erdem Yörük
2022	J	`jnl`	Extended Multilingual Protest News Detection - Shared Task 1, CASE 2021 and 2022. CoRR Ali Hürriyetoglu, Osman Mutlu, Firat Durusan, Onur Uca, Alaeddin Selçuk Gürel, Benjamin J. Radford, Yaoyao Dai, Hansi Hettiarachchi, Niklas Stoehr, Tadashi Nomoto, Milena Slavcheva, Francielle Vargas, Aaqib Javid, Fatih Beyhan, Erdem Yörük
2022	J	`jnl`	Learning to Simplify with Data Hopelessly Out of Alignment. CoRR Tadashi Nomoto
2022	B	`conf`	The Causal News Corpus: Annotating Causal Relations in Event Sentences from News. LREC Fiona Anting Tan, Ali Hürriyetoglu, Tommaso Caselli, Nelleke Oostdijk, Tadashi Nomoto, Hansi Hettiarachchi, Iqra Ameer, Onur Uca, Farhana Ferdousi Liza, Tiancheng Hu
2022	J	`jnl`	The Causal News Corpus: Annotating Causal Relations in Event Sentences from News. CoRR Fiona Anting Tan, Ali Hürriyetoglu, Tommaso Caselli, Nelleke Oostdijk, Tadashi Nomoto, Hansi Hettiarachchi, Iqra Ameer, Onur Uca, Farhana Ferdousi Liza, Tiancheng Hu
2021	B	`conf`	Grounding NBA Matchup Summaries. INLG Tadashi Nomoto
2020	—	`conf`	Meeting the 2020 Duolingo Challenge on a Shoestring. NGT@ACL Tadashi Nomoto
2019	B	`conf`	Generating Paraphrases with Lean Vocabulary. INLG Tadashi Nomoto
2018	J	`jnl`	Resolving Citation Links With Neural Networks. Frontiers Res. Metrics Anal. Tadashi Nomoto
2016	—	`conf`	NEAL: A Neurally Enhanced Approach to Linking Citation and Reference. BIRNDL@JCDL Tadashi Nomoto
2014	B	`conf`	Lexico-syntactic text simplification and compression with typed dependencies. COLING Mandya Angrosh, Tadashi Nomoto, Advaith Siddharthan
2012	—	`conf`	Conceptualizing documents with Wikipedia. ESAIR Tadashi Nomoto, Noriko Kando
2012	—	`conf`	Re-ranking bibliographic records for personalized library search. JCDL Tadashi Nomoto
2011	A	`conf`	WikiLabel: an encyclopedic approach to labeling documents en masse. CIKM Tadashi Nomoto
2010	A	`conf`	Two-tier similarity model for story link detection. CIKM Tadashi Nomoto
2009	A*	`conf`	A Comparison of Model Free versus Model Intensive Approaches to Sentence Compression. EMNLP Tadashi Nomoto
2009	A*	`conf`	Classifying library catalogue by author profiling. SIGIR Tadashi Nomoto
2008	A*	`conf`	A Generic Sentence Trimmer with CRFs. ACL Tadashi Nomoto
2007	J	`jnl`	Discriminative sentence compression with conditional random fields. Inf. Process. Manag. Tadashi Nomoto
2005	—	`conf`	Bayesian Learning in Text Summarization. HLT/EMNLP Tadashi Nomoto
2004	A*	`conf`	Multi-Engine Machine Translation with Voted Language Model. ACL Tadashi Nomoto
2003	—	`conf`	Predictive models of performance in multi-engine machine translation. MTSummit Tadashi Nomoto
2003	J	`jnl`	The diversity-based approach to open-domain text summarization. Inf. Process. Manag. Tadashi Nomoto, Yuji Matsumoto
2002	A*	`conf`	Modeling (in)variability of human judgments for text summarization. SIGIR Tadashi Nomoto, Yuji Matsumoto
2002	A*	`conf`	Supervised Ranking in Open-Domain Text Summarization. ACL Tadashi Nomoto, Yuji Matsumoto
2001	A*	`conf`	A New Approach to Unsupervised Text Summarization. SIGIR Tadashi Nomoto, Yuji Matsumoto
2001	A*	`conf`	An Experimental Comparison of Supervised and Unsupervised Approaches to Text Summarization. ICDM Tadashi Nomoto, Yuji Matsumoto
2000	A*	`conf`	Comparing the Minimum Description Length Principle and Boosting in the Automatic Analysis of Discourse. ICML Tadashi Nomoto, Yuji Matsumoto
1999	A*	`conf`	Learning Discourse Relations with Active Data Selection. EMNLP Tadashi Nomoto, Yuji Matsumoto
1998	—	`conf`	Discourse Parsing: A Decision Tree Approach. VLC@COLING/ACL Tadashi Nomoto, Yuji Matsumoto
1997	—	`conf`	Data Reliability and Its Effects on Automatic Abstracting. VLC Tadashi Nomoto, Yuji Matsumoto
1996	—	`conf`	Exploiting Text Structure for Topic Identification. VLC@COLING Tadashi Nomoto, Yuji Matsumoto
1994	B	`conf`	A Grammatico-Statistical Approach To Discourse Partitioning. COLING Tadashi Nomoto, Yoshihiko Nitta
1993	A	`conf`	Resolving Zero Anaphora in Japanese. EACL Tadashi Nomoto, Yoshihiko Nitta

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.