Saeed Hassanpour

90 papers A* 2A 1B 6Misc 1Journal 59Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Cluster-R1: Large Reasoning Models Are Instruction-following Clustering Agents. CoRR Peijun Qing, Puneet Mathur, Nedim Lipka, Varun Manjunatha, Ryan Rossi, Franck Dernoncourt, Saeed Hassanpour, Soroush Vosoughi
2026	J	`jnl`	Multimodal contrastive learning for non-invasive chondroid bone tumor classification and grading using radiographs. BMC Medical Imaging Peiying Hua, Jessica M. Sin, Eric R. Henderson, Jason Ha, Darcy A. Kerr, Saeed Hassanpour
2026	—	`conf`	Tailoring Memory Granularity for Multi-Hop Reasoning over Long Contexts. EACL (Findings) Peijun Qing, Xingjian Diao, Chiyu Ma, Saeed Hassanpour, Soroush Vosoughi
2025	—	`conf`	A Generalizable Rhetorical Strategy Annotation Model Using LLM-based Debate Simulation and Labelling. EMNLP (Findings) Shiyu Ji, Farnoosh Hashemi, Joice Chen, Juanwen Pan, Weicheng Ma, Hefan Zhang, Sophia Pan, Ming Cheng, Shubham Mohole, Saeed Hassanpour, Soroush Vosoughi, Michael Macy
2025	J	`jnl`	A Generalizable Rhetorical Strategy Annotation Model Using LLM-based Debate Simulation and Labelling. CoRR Shiyu Ji, Farnoosh Hashemi, Joice Chen, Juanwen Pan, Weicheng Ma, Hefan Zhang, Sophia Pan, Ming Cheng, Shubham Mohole, Saeed Hassanpour, Soroush Vosoughi, Michael Macy
2025	—	`conf`	Communication Makes Perfect: Persuasion Dataset Construction via Multi-LLM Communication. NAACL (Long Papers) Weicheng Ma, Hefan Zhang, Ivory Yang, Shiyu Ji, Joice Chen, Farnoosh Hashemi, Shubham Mohole, Ethan Gearey, Michael Macy, Saeed Hassanpour, Soroush Vosoughi
2025	J	`jnl`	Communication is All You Need: Persuasion Dataset Construction via Multi-LLM Communication. CoRR Weicheng Ma, Hefan Zhang, Ivory Yang, Shiyu Ji, Joice Chen, Farnoosh Hashemi, Shubham Mohole, Ethan Gearey, Michael Macy, Saeed Hassanpour, Soroush Vosoughi
2025	J	`jnl`	Cross-Modality Learning for Predicting IHC Biomarkers from H&E-Stained Whole-Slide Images. CoRR Amit Das, Naofumi Tomita, Kyle J. Syme, Weijie Ma, Paige O'Connor, Kristin N. Corbett, Bing Ren, Xiaoying Liu, Saeed Hassanpour
2025	—	`conf`	Enhancing LLM-Based Persuasion Simulations with Cultural and Speaker-Specific Information. EMNLP (Findings) Weicheng Ma, Hefan Zhang, Shiyu Ji, Farnoosh Hashemi, Qichao Wang, Ivory Yang, Joice Chen, Juanwen Pan, Michael Macy, Saeed Hassanpour, Soroush Vosoughi
2025	A*	`conf`	ImpScore: A Learnable Metric For Quantifying The Implicitness Level of Sentences. ICLR Yuxin Wang, Xiaomeng Zhu, Weimin Lyu, Saeed Hassanpour, Soroush Vosoughi
2025	J	`jnl`	Predicting Targeted Therapy Resistance in Non-Small Cell Lung Cancer Using Multimodal Machine Learning. CoRR Peiying Hua, Andrea M. Olofson, Faraz Farhadi, Liesbeth Hondelink, Gregory Tsongalis, Konstantin Dragnev, Dagmar Hoegemann Savellano, Arief A. Suriawinata, Laura J. Tafe, Saeed Hassanpour
2025	J	`jnl`	Probing Association Biases in LLM Moderation Over-Sensitivity. CoRR Yuxin Wang, Botao Yu, Ivory Yang, Saeed Hassanpour, Soroush Vosoughi
2025	J	`jnl`	Transformer-Based Representation Learning for Robust Gene Expression Modeling and Cancer Prognosis. CoRR Shuai Jiang, Saeed Hassanpour
2024	J	`jnl`	A Benchmark for Long-Form Medical Question Answering. CoRR Pedram Hosseini, Jessica M. Sin, Bing Ren, Bryceton G. Thomas, Elnaz Nouri, Ali Farahanchi, Saeed Hassanpour
2024	J	`jnl`	A Novel Framework for the Automated Characterization of Gram-Stained Blood Culture Slides Using a Large-Scale Vision Transformer. CoRR Jack McMahon, Naofumi Tomita, Elizabeth S. Tatishev, Adrienne A. Workman, Cristina R. Costales, Niaz Banaei, Isabella W. Martin, Saeed Hassanpour
2024	—	`conf`	Addressing Healthcare-related Racial and LGBTQ+ Biases in Pretrained Language Models. NAACL-HLT (Findings) Sean Xie, Saeed Hassanpour, Soroush Vosoughi
2024	J	`jnl`	Deep Learning for Classification of Inflammatory Bowel Disease Activity in Whole Slide Images of Colonic Histopathology. CoRR Amit Das, Tanmay Shukla, Naofumi Tomita, Ryland Richards, Laura Vidis, Bing Ren, Saeed Hassanpour
2024	J	`jnl`	Ethical Challenges and Evolving Strategies in the Integration of Artificial Intelligence into Clinical Practice. CoRR Ellison B. Weiner, Irene Dankwa-Mullan, William A. Nelson, Saeed Hassanpour
2024	J	`jnl`	ImpScore: A Learnable Metric For Quantifying The Implicitness Level of Language. CoRR Yuxin Wang, Xiaomeng Zhu, Weimin Lyu, Saeed Hassanpour, Soroush Vosoughi
2024	J	`jnl`	Improving Colorectal Cancer Screening and Risk Assessment through Predictive Modeling on Medical Images and Records. CoRR Shuai Jiang, Christina M. Robinson, Joseph Anderson, William Hisey, Lynn Butterly, Arief A. Suriawinata, Saeed Hassanpour
2024	—	`conf`	MentalManip: A Dataset For Fine-grained Analysis of Mental Manipulation in Conversations. ACL (1) Yuxin Wang, Ivory Yang, Saeed Hassanpour, Soroush Vosoughi
2024	J	`jnl`	MentalManip: A Dataset For Fine-grained Analysis of Mental Manipulation in Conversations. CoRR Yuxin Wang, Ivory Yang, Saeed Hassanpour, Soroush Vosoughi
2024	J	`jnl`	Prediction of Breast Cancer Recurrence Risk Using a Multi-Model Approach Integrating Whole Slide Imaging and Clinicopathologic Features. CoRR Manu Goyal, Jonathan D. Marotti, Adrienne A. Workman, Elaine P. Kuhn, Graham M. Tooker, Seth K. Ramin, Mary D. Chamberlin, Roberta M. diFlorio-Alexander, Saeed Hassanpour
2023	A*	`conf`	Improving Representation Learning for Histopathologic Images with Cluster Constraints. ICCV Weiyi Wu, Chongyang Gao, Joseph DiPalma, Soroush Vosoughi, Saeed Hassanpour
2023	J	`jnl`	Improving Representation Learning for Histopathologic Images with Cluster Constraints. CoRR Weiyi Wu, Chongyang Gao, Joseph DiPalma, Soroush Vosoughi, Saeed Hassanpour
2023	—	`conf`	Improving Syntactic Probing Correctness and Robustness with Control Tasks. ACL (2) Weicheng Ma, Brian Wang, Hefan Zhang, Lili Wang, Rolando Coto-Solano, Saeed Hassanpour, Soroush Vosoughi
2023	J	`jnl`	MHAttnSurv: Multi-head attention for survival prediction using whole-slide pathology images. Comput. Biol. Medicine Shuai Jiang, Arief A. Suriawinata, Saeed Hassanpour
2023	J	`jnl`	Masked Pre-Training of Transformers for Histology Image Analysis. CoRR Shuai Jiang, Liesbeth Hondelink, Arief A. Suriawinata, Saeed Hassanpour
2023	—	`conf`	Proto-lm: A Prototypical Network-Based Framework for Built-in Interpretability in Large Language Models. EMNLP (Findings) Sean Xie, Soroush Vosoughi, Saeed Hassanpour
2023	J	`jnl`	Proto-lm: A Prototypical Network-Based Framework for Built-in Interpretability in Large Language Models. CoRR Sean Xie, Soroush Vosoughi, Saeed Hassanpour
2023	J	`jnl`	Vision Transformer-Based Deep Learning for Histologic Classification of Endometrial Cancer. CoRR Manu Goyal, Laura J. Tafe, James X. Feng, Kristen E. Muller, Liesbeth Hondelink, Jessica L. Bentz, Saeed Hassanpour
2022	B	`conf`	Calibrating Histopathology Image Classifiers Using Label Smoothing. AIME Jerry W. Wei, Lorenzo Torresani, Jason Wei, Saeed Hassanpour
2022	J	`jnl`	Calibrating Histopathology Image Classifiers using Label Smoothing. CoRR Jerry W. Wei, Lorenzo Torresani, Jason Wei, Saeed Hassanpour
2022	J	`jnl`	HistoPerm: A Permutation-Based View Generation Approach for Learning Histopathologic Feature Representations. CoRR Joseph DiPalma, Lorenzo Torresani, Saeed Hassanpour
2022	J	`jnl`	Interpretation Quality Score for Measuring the Quality of interpretability methods. CoRR Yuansheng Xie, Soroush Vosoughi, Saeed Hassanpour
2022	B	`conf`	Towards Interpretable Deep Reinforcement Learning Models via Inverse Reinforcement Learning. ICPR Yuansheng Xie, Soroush Vosoughi, Saeed Hassanpour
2022	J	`jnl`	Towards Interpretable Deep Reinforcement Learning Models via Inverse Reinforcement Learning. CoRR Yuansheng Xie, Soroush Vosoughi, Saeed Hassanpour
2021	B	`conf`	A Petri Dish for Histopathology Image Analysis. AIME Jerry W. Wei, Arief A. Suriawinata, Bing Ren, Xiaoying Liu, Mikhail Lisovsky, Louis J. Vaickus, Charles Brown, Michael Baker, Naofumi Tomita, Lorenzo Torresani, Jason Wei, Saeed Hassanpour
2021	J	`jnl`	A Petri Dish for Histopathology Image Analysis. CoRR Jerry W. Wei, Arief A. Suriawinata, Bing Ren, Xiaoying Liu, Mikhail Lisovsky, Louis J. Vaickus, Charles Brown, Michael Baker, Naofumi Tomita, Lorenzo Torresani, Jason Wei, Saeed Hassanpour
2021	J	`jnl`	Deep learning in diabetic foot ulcers detection: A comprehensive evaluation. Comput. Biol. Medicine Moi Hoon Yap, Ryo Hachiuma, Azadeh Alavi, Raphael Brüngel, Bill Cassidy, Manu Goyal, Hongtao Zhu, Johannes Rückert, Moshe Olshansky, Xiao Huang, Hideo Saito, Saeed Hassanpour, Christoph M. Friedrich, David B. Ascher, Anping Song, Hiroki Kajita, David Gillespie, Neil D. Reeves, Joseph M. Pappachan, Claire O'Shea, Eibe Frank
2021	A	`conf`	Learn like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image Classification. WACV Jerry W. Wei, Arief A. Suriawinata, Bing Ren, Xiaoying Liu, Mikhail Lisovsky, Louis J. Vaickus, Charles Brown, Michael Baker, Mustafa Nasir-Moin, Naofumi Tomita, Lorenzo Torresani, Jason Wei, Saeed Hassanpour
2021	J	`jnl`	MHAttnSurv: Multi-Head Attention for Survival Prediction Using Whole-Slide Pathology Images. CoRR Shuai Jiang, Arief A. Suriawinata, Saeed Hassanpour
2021	J	`jnl`	Resolution-Based Distillation for Efficient Histology Image Classification. CoRR Joseph DiPalma, Arief A. Suriawinata, Laura J. Tafe, Lorenzo Torresani, Saeed Hassanpour
2021	J	`jnl`	Resolution-based distillation for efficient histology image classification. Artif. Intell. Medicine Joseph DiPalma, Arief A. Suriawinata, Laura J. Tafe, Lorenzo Torresani, Saeed Hassanpour
2021	B	`conf`	Sensitivity and Specificity Evaluation of Deep Learning Models for Detection of Pneumoperitoneum on Chest Radiographs. AIME Manu Goyal, Judith Austin-Strohbehn, Sean J. Sun, Karen Rodriguez, Jessica M. Sin, Yvonne Y. Cheung, Saeed Hassanpour
2020	J	`jnl`	A Refined Deep Learning Architecture for Diabetic Foot Ulcers Detection. CoRR Manu Goyal, Saeed Hassanpour
2020	J	`jnl`	Artificial intelligence-based image classification methods for diagnosis of skin cancer: Challenges and opportunities. Comput. Biol. Medicine Manu Goyal, Thomas Knackstedt, Shaofeng Yan, Saeed Hassanpour
2020	J	`jnl`	Deep Learning in Diabetic Foot Ulcers Detection: A Comprehensive Evaluation. CoRR Moi Hoon Yap, Ryo Hachiuma, Azadeh Alavi, Raphael Brüngel, Manu Goyal, Hongtao Zhu, Bill Cassidy, Johannes Rückert, Moshe Olshansky, Xiao Huang, Hideo Saito, Saeed Hassanpour, Christoph M. Friedrich, David B. Ascher, Anping Song, Hiroki Kajita, David Gillespie, Neil D. Reeves, Joseph Pappachan, Claire O'Shea, Eibe Frank
2020	J	`jnl`	Development and Evaluation of a Deep Neural Network for Histologic Classification of Renal Cell Carcinoma on Biopsy and Surgical Resection Slides. CoRR Mengdan Zhu, Bing Ren, Ryland Richards, Matthew A. Suriawinata, Naofumi Tomita, Saeed Hassanpour
2020	B	`conf`	Difficulty Translation in Histopathology Images. AIME Jerry W. Wei, Arief A. Suriawinata, Xiaoying Liu, Bing Ren, Mustafa Nasir-Moin, Naofumi Tomita, Jason Wei, Saeed Hassanpour
2020	J	`jnl`	Difficulty Translation in Histopathology Images. CoRR Jerry W. Wei, Arief A. Suriawinata, Xiaoying Liu, Bing Ren, Mustafa Nasir-Moin, Naofumi Tomita, Jason Wei, Saeed Hassanpour
2020	J	`jnl`	Learn like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image Classification. CoRR Jerry W. Wei, Arief A. Suriawinata, Bing Ren, Xiaoying Liu, Mikhail Lisovsky, Louis J. Vaickus, Charles Brown, Michael Baker, Mustafa Nasir-Moin, Naofumi Tomita, Lorenzo Torresani, Jason Wei, Saeed Hassanpour
2020	J	`jnl`	Multi-Ontology Refined Embeddings (MORE): A Hybrid Multi-Ontology and Corpus-based Semantic Representation for Biomedical Concepts. CoRR Steven Jiang, Weiyi Wu, Naofumi Tomita, Craig H. Ganoe, Saeed Hassanpour
2020	J	`jnl`	Multi-Ontology Refined Embeddings (MORE): A hybrid multi-ontology and corpus-based semantic representation model for biomedical concepts. J. Biomed. Informatics Steven Jiang, Weiyi Wu, Naofumi Tomita, Craig H. Ganoe, Saeed Hassanpour
2020	—	`conf`	Multi-class Semantic Segmentation of Skin Lesions via Fully Convolutional Networks. BIOINFORMATICS Manu Goyal, Moi Hoon Yap, Saeed Hassanpour
2020	J	`jnl`	Sensitivity and Specificity Evaluation of Deep Learning Models for Detection of Pneumoperitoneum on Chest Radiographs. CoRR Manu Goyal, Judith Austin-Strohbehn, Sean J. Sun, Karen Rodriguez, Jessica M. Sin, Yvonne Y. Cheung, Saeed Hassanpour
2019	J	`jnl`	Artificial Intelligence for Diagnosis of Skin Cancer: Challenges and Opportunities. CoRR Manu Goyal, Thomas Knackstedt, Shaofeng Yan, Amanda Oakley, Saeed Hassanpour
2019	J	`jnl`	Assessing data availability and quality within an electronic health record system through external validation against an external clinical data source. BMC Medical Informatics Decis. Mak. Ellen L. Palmer, John H. Higgins, Saeed Hassanpour, James Sargent, Christina M. Robinson, Jennifer A. Doherty, Tracy Onega
2019	J	`jnl`	Assisting radiologists with reporting urgent findings to referring physicians: A machine learning approach to identify cases for prompt communication. J. Biomed. Informatics Xing Meng, Craig H. Ganoe, Ryan T. Sieberg, Yvonne Y. Cheung, Saeed Hassanpour
2019	J	`jnl`	Automated detection of celiac disease on duodenal biopsy slides: a deep learning approach. CoRR Jason W. Wei, Jerry W. Wei, Christopher R. Jackson, Bing Ren, Arief A. Suriawinata, Saeed Hassanpour
2019	J	`jnl`	Automated detection of nonmelanoma skin cancer using digital images: a systematic review. BMC Medical Imaging Arthur Marka, Joi Carter, Ermal Toto, Saeed Hassanpour
2019	J	`jnl`	Automatic Post-Stroke Lesion Segmentation on MR Images using 3D Residual Convolutional Neural Network. CoRR Naofumi Tomita, Steven Jiang, Matthew E. Maeder, Saeed Hassanpour
2019	J	`jnl`	Building a tobacco user registry by extracting multiple smoking behaviors from clinical notes. BMC Medical Informatics Decis. Mak. Ellen L. Palmer, Saeed Hassanpour, John H. Higgins, Jennifer A. Doherty, Tracy Onega
2019	J	`jnl`	Deep neural networks for automated classification of colorectal polyps on histopathology slides: A multi-institutional evaluation. CoRR Jason W. Wei, Arief A. Suriawinata, Louis J. Vaickus, Bing Ren, Xiaoying Liu, Mikhail Lisovsky, Naofumi Tomita, Behnaz Abdollahi, Adam S. Kim, Dale C. Snover, John A. Baron, Elizabeth L. Barry, Saeed Hassanpour
2019	—	`conf`	Generative Image Translation for Data Augmentation in Colorectal Histopathology Images. ML4H@NeurIPS Jerry W. Wei, Arief A. Suriawinata, Louis J. Vaickus, Bing Ren, Xiaoying Liu, Jason Wei, Saeed Hassanpour
2019	J	`jnl`	Generative Image Translation for Data Augmentation in Colorectal Histopathology Images. CoRR Jerry W. Wei, Arief A. Suriawinata, Louis J. Vaickus, Bing Ren, Xiaoying Liu, Jason Wei, Saeed Hassanpour
2019	J	`jnl`	Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks. CoRR Jason W. Wei, Laura J. Tafe, Yevgeniy A. Linnik, Louis J. Vaickus, Naofumi Tomita, Saeed Hassanpour
2019	J	`jnl`	Predicting colorectal polyp recurrence using time-to-event analysis of medical records. CoRR Lia X. Harrington, Jason W. Wei, Arief A. Suriawinata, Todd A. MacKenzie, Saeed Hassanpour
2019	—	`conf`	Understanding Urgency in Radiology Reporting: Identifying Associations Between Clinical Findings in Radiology Reports and Their Prompt Communication to Referring Physicians. MedInfo Xing Meng, Michael V. Heinz, Craig H. Ganoe, Ryan T. Sieberg, Yvonne Y. Cheung, Saeed Hassanpour
2018	—	`conf`	Application of machine learning on colonoscopy screening records for predicting colorectal polyp recurrence. BIBM Lia Harrington, Arief A. Suriawinata, Todd A. MacKenzie, Saeed Hassanpour
2018	J	`jnl`	Deep neural networks for automatic detection of osteoporotic vertebral fractures on CT scans. Comput. Biol. Medicine Naofumi Tomita, Yvonne Y. Cheung, Saeed Hassanpour
2018	J	`jnl`	Finding a Needle in the Haystack: Attention-Based Classification of High Resolution Microscopy Images. CoRR Naofumi Tomita, Behnaz Abdollahi, Jason Wei, Bing Ren, Arief A. Suriawinata, Saeed Hassanpour
2018	Misc	`conf`	Natural Language Processing for Extracting Colorectal Polyp Information from Electronic Medical Records. AMIA Lia Harrington, Arief A. Suriawinata, Todd A. MacKenzie, John H. Higgins, Saeed Hassanpour
2018	J	`jnl`	Using Natural Language Processing of Free-Text Radiology Reports to Identify Type 1 Modic Endplate Changes. J. Digit. Imaging Hannu T. Huhdanpaa, W. Katherine Tan, Sean D. Rundell, Pradeep Suri, Falgun H. Chokshi, Bryan A. Comstock, Patrick J. Heagerty, Kathryn T. James, Andrew L. Avins, Srdjan S. Nedeljkovic, David R. Nerenz, David F. Kallmes, Patrick H. Luetmer, Karen J. Sherman, Nancy L. Organ, Brent Griffith, Curtis P. Langlotz, David Carrell, Saeed Hassanpour, Jeffrey G. Jarvik
2017	J	`jnl`	Characterization of Change and Significance for Clinical Findings in Radiology Reports Through Natural Language Processing. J. Digit. Imaging Saeed Hassanpour, Graham Bay, Curtis P. Langlotz
2017	J	`jnl`	Deep-Learning for Classification of Colorectal Polyps on Whole-Slide Images. CoRR Bruno Korbar, Andrea M. Olofson, Allen P. Miraflor, Katherine M. Nicka, Matthew A. Suriawinata, Lorenzo Torresani, Arief A. Suriawinata, Saeed Hassanpour
2017	—	`conf`	Looking Under the Hood: Deep Neural Network Visualization to Interpret Whole-Slide Image Analysis Outcomes for Colorectal Polyps. CVPR Workshops Bruno Korbar, Andrea M. Olofson, Allen P. Miraflor, Catherine M. Nicka, Matthew A. Suriawinata, Lorenzo Torresani, Arief A. Suriawinata, Saeed Hassanpour
2016	J	`jnl`	Information extraction from multi-institutional radiology reports. Artif. Intell. Medicine Saeed Hassanpour, Curtis P. Langlotz
2016	J	`jnl`	Unsupervised Topic Modeling in a Large Free Text Radiology Report Repository. J. Digit. Imaging Saeed Hassanpour, Curtis P. Langlotz
2014	J	`jnl`	Clustering rule bases using ontology-based similarity measures. J. Web Semant. Saeed Hassanpour, Martin J. O'Connor, Amar K. Das
2013	J	`jnl`	A semantic-based method for extracting concept definitions from scientific publications: evaluation in the autism phenotype domain. J. Biomed. Semant. Saeed Hassanpour, Martin J. O'Connor, Amar K. Das
2012	—	`conf`	SWRL Rule Editor - A Web Application as Rich as Desktop Business Rule Editors. ICEIS (2) João Paulo Orlando, Adriano Rivolli, Saeed Hassanpour, Martin J. O'Connor, Amar K. Das, Dilvan A. Moreira
2011	—	`conf`	A Framework for the Automatic Extraction of Rules from Online Text. RuleML Europe Saeed Hassanpour, Martin J. O'Connor, Amar K. Das
2011	B	`conf`	An intelligent interface for rule elicitation. K-CAP Saeed Hassanpour, Amar K. Das
2011	—	`conf`	Ontology based Text Mining of Concept Definitions in Biomedical Literature. CSWS Saeed Hassanpour, Amar K. Das
2010	—	`conf`	A Software Tool for Visualizing, Managing and Eliciting SWRL Rules. ESWC (2) Saeed Hassanpour, Martin J. O'Connor, Amar K. Das
2010	—	`conf`	Visualizing Logical Dependencies in SWRL Rule Bases. RuleML Saeed Hassanpour, Martin J. O'Connor, Amar K. Das
2009	—	`conf`	A Rule Management and Elicitation Tool for SWRL Rule Bases. RuleML Challenge Saeed Hassanpour, Martin J. O'Connor, Amar K. Das
2009	—	`conf`	Axiomé: A Tool for the Elicitation and Management of SWRL Rules. OWLED Saeed Hassanpour, Martin J. O'Connor, Amar K. Das
2009	—	`conf`	Exploration of SWRL Rule Bases through Visualization, Paraphrasing, and Categorization of Rules. RuleML Saeed Hassanpour, Martin J. O'Connor, Amar K. Das