SBUQA Question Answering System. - Mahsa Arab Yarmohammadi; Mehrnoush Shamsfard; Mahshid A. Yarmohammadi; Masoud Rouhizadeh (CSICC, 2008)

Data collection and normalization for building the Scenario-Based Lexical Knowledge Resource of a text-to-scene conversion system. - Masoud Rouhizadeh; Margit Bowler; Richard Sproat; Bob Coyne (SMAP, 2010)

Collecting Semantic Data from Mechanical Turk for a Lexical Knowledge Resource in a Text to Picture Generating System. - Masoud Rouhizadeh; Margit Bowler; Richard Sproat; Bob Coyne (IWCS, 2011)

Collecting Semantic Information for Locations in the Scenario-Based Lexical Knowledge Resource of a Text-to-Scene Conversion System. - Masoud Rouhizadeh; Bob Coyne; Richard Sproat (KES (4), 2011)

Annotation Tools and Knowledge Representation for a Text-To-Scene System. - Bob Coyne; Alex Klapheke; Masoud Rouhizadeh; Richard Sproat; Daniel Bauer 002 (COLING, 2012)

Automatic detection of pragmatic deficits in children with autism. - Emily Prud'hommeaux; Masoud Rouhizadeh (WOCCI, 2012)

Distributional semantic models for the evaluation of disordered language. - Masoud Rouhizadeh; Emily Tucker Prud'hommeaux; Brian Roark; Jan P. H. van Santen (HLT-NAACL, 2013)

Detecting linguistic idiosyncratic interests in autism using distributional semantic models. - Masoud Rouhizadeh; Emily Prud'hommeaux; Jan P. H. van Santen; Richard Sproat (CLPsych@ACL, 2014)

Computational analysis of trajectories of linguistic development in autism. - Emily Prud'hommeaux; Eric Morley; Masoud Rouhizadeh; Laura Silverman; Jan P. H. van Santen; Brian Roark; Richard Sproat; Sarah Kauper; Rachel DeLaHunta (SLT, 2014)

Measuring idiosyncratic interests in children with autism. - Masoud Rouhizadeh; Emily Prud'hommeaux; Jan P. H. van Santen; Richard Sproat (ACL (2), 2015)

Similarity Measures for Quantifying Restrictive and Repetitive Behavior in Conversations of Autistic Children. - Masoud Rouhizadeh; Richard Sproat; Jan P. H. van Santen (CLPsych@HLT-NAACL, 2015)

Using Syntactic and Semantic Context to Explore Psychodemographic Differences in Self-reference. - Masoud Rouhizadeh; Lyle H. Ungar; Anneke Buffone; H. Andrew Schwartz (EMNLP, 2016)

Detecting Personal Medication Intake in Twitter: An Annotated Corpus and Baseline Classification System. - Ari Z. Klein; Abeed Sarker; Masoud Rouhizadeh; Karen O'Connor; Graciela Gonzalez 001 (BioNLP, 2017)

Assessing Objective Recommendation Quality through Political Forecasting. - H. Andrew Schwartz; Masoud Rouhizadeh; Michael Bishop; Philip Tetlock; Barbara A. Mellers; Lyle H. Ungar (EMNLP, 2017)

Deriving Verb Predicates By Clustering Verbs with Arguments. - João Sedoc; Derry Wijaya; Masoud Rouhizadeh; Andy Schwartz; Lyle H. Ungar (CoRR, 2017)

A Rule-based Approach to Determining Pregnancy Timeframe from Contextual Social Media Postings. - Masoud Rouhizadeh; Arjun Magge; Ari Z. Klein; Abeed Sarker; Graciela Gonzalez 001 (DH, 2018)

Identifying Locus of Control in Social Media Language. - Masoud Rouhizadeh; Kokil Jaidka; Laura Smith; H. Andrew Schwartz; Anneke Buffone; Lyle H. Ungar (EMNLP, 2018)

Modeling and Visualizing Locus of Control with Facebook Language. - Kokil Jaidka; Anneke Buffone; Johannes C. Eichstaedt; Masoud Rouhizadeh; Lyle H. Ungar (ICWSM, 2018)

Knowledge-Based Word Sense Disambiguation with Distributional Semantic Expansion. - Hossein Rouhizadeh; Mehrnoush Shamsfard; Masoud Rouhizadeh (WNLP@ACL, 2019)

Phenotyping of Clinical Notes with Improved Document Classification Models Using Contextualized Neural Language Models. - Andriy Mulyar; Elliot Schumacher; Masoud Rouhizadeh; Mark Dredze (CoRR, 2019)

Language impairment in adults with end-stage liver disease: application of natural language processing towards patient-generated health records. - Lindsay K. Dickerson; Masoud Rouhizadeh; Yelena Korotkaya; Mary Grace Bowring; Allan B. Massie; Mara A. McAdams-Demarco; Dorry Segev; Alicia Cannon; Anthony L. Guerrerio; Po-Hung Chen; Benjamin N. Philosophe; Douglas B. Mogul (npj Digit. Medicine, 2019)

COVID-19 SignSym: A fast adaptation of general clinical NLP tools to identify and normalize COVID-19 signs and symptoms to OMOP common data model. - Jingqi Wang; Huy Anh Pham; Frank J. Manion; Masoud Rouhizadeh; Yaoyun Zhang (CoRR, 2020)

Examining the Feasibility of Off-the-Shelf Algorithms for Masking Directly Identifiable Information in Social Media Data. - Rachel Dorn; Alicia L. Nobles; Masoud Rouhizadeh; Mark Dredze (CoRR, 2020)

Assessing the Documentation of Social Needs in Electronic Health Records' Unstructured Data: A Collaboration of Johns Hopkins Health System and Kaiser Permanente. - Elham Hatef; Masoud Rouhizadeh; Claudia Nau; Fagen Xie; Ariadna Padilla; Lindsay Joe Lyons; Christopher Rouillard; Mahmoud Abu-Nasser; Hadi Kharrazi; Jonathan P. Weiner; Douglas Roblin (AMIA, 2021)

Persian SemCor: A Bag of Word Sense Annotated Corpus for the Persian Language. - Hossein Rouhizadeh; Mehrnoush Shamsfard; Mahdi Dehghan; Masoud Rouhizadeh (GWC, 2021)

Persian-WSD-Corpus: A Sense Annotated Corpus for Persian All-words Word Sense Disambiguation. - Hossein Rouhizadeh; Mehrnoush Shamsfard; Vahideh Tajalli; Masoud Rouhizadeh (CoRR, 2021)

An Open Natural Language Processing Development Framework for EHR-based Clinical Research: A case demonstration using the National COVID Cohort Collaborative (N3C). - Sijia Liu 002; Andrew Wen; Liwei Wang 010; Huan He; Sunyang Fu; Robert T. Miller; Andrew E. Williams; Daniel R. Harris; Ramakanth Kavuluru; Mei Liu; Noor Abu-El-Rub; Rui Zhang 028; et al. (CoRR, 2021)

COVID-19 SignSym: a fast adaptation of a general clinical NLP tool to identify and normalize COVID-19 signs and symptoms to OMOP common data model. - Jingqi Wang; Noor Abu-El-Rub; Josh Gray; Huy Anh Pham; Yujia Zhou 003; Frank J. Manion; Mei Liu; Xing Song; Hua Xu 001; Masoud Rouhizadeh; Yaoyun Zhang (J. Am. Medical Informatics Assoc., 2021)

Application of Natural Language Processing to Identify Social Needs from The Electronic Health Record's Free-Text Notes. - Geoffrey M. Gray; Luis M. Ahumada; Ayah Zirikly; Masoud Rouhizadeh; Thomas Richards; Elham Hatef (AMIA, 2022)

A risk identification model for detection of patients at risk of antidepressant discontinuation. - Ali Zolnour; Christina E. Eldredge; Anthony Faiola; Yadollah Yaghoobzadeh; Masoud Khani; Doreen Foy; Maxim Topaz; Hadi Kharrazi; Kin Wah Fung; Paul A. Fontelo; Anahita Davoudi; Azade Tabaie; et al. (Frontiers Artif. Intell., 2023)

Representing and utilizing clinical textual data for real world studies: An OHDSI approach. - Vipina Kuttichi Keloth; Juan M. Banda; Michael J. Gurley; Paul M. Heider; Georgina Kennedy; Hongfang Liu; Feifan Liu; Timothy Miller 002; Karthik Natarajan; Olga V. Patterson; Yifan Peng 002; Kalpana Raja; et al. (J. Biomed. Informatics, 2023)

Developing and validating a natural language processing algorithm to extract preoperative cannabis use status documentation from unstructured narrative clinical notes. - Ruba Sajdeya; Mamoun T. Mardini; Patrick James Tighe; Ronald L. Ison; Chen Bai; Sebastian Jugl; Gao Hanzhi; Kimia Zandbiglari; Farzana Islam Adiba; Almut G. Winterstein; Thomas A Pearson; Robert L. Cook 002; et al. (J. Am. Medical Informatics Assoc., 2023)

An open natural language processing (NLP) framework for EHR-based clinical research: a case demonstration using the National COVID Cohort Collaborative (N3C). - Sijia Liu 002; Andrew Wen; Liwei Wang 010; Huan He; Sunyang Fu; Robert T. Miller; Andrew E. Williams; Daniel R. Harris; Ramakanth Kavuluru; Mei Liu; Noor Abu-El-Rub; Dalton Schutte; et al. (J. Am. Medical Informatics Assoc., 2023)

Enhancing suicidal behavior detection in EHRs: A multi-label NLP framework with transformer models and semantic retrieval-based annotation. - Kimia Zandbiglari; Shobhan Kumar; Muhammad Bilal 012; Amie J. Goodin; Masoud Rouhizadeh (J. Biomed. Informatics, 2025)

LLMCARE: Alzheimer's Detection via Transformer Models Enhanced by LLM-Generated Synthetic Data. - Ali Zolnour; Hossein Azadmaleki; Yasaman Haghbin; Fatemeh Taherinezhad; Mohamad Javad Momeni Nezhad; Sina Rashidi; Masoud Khani; Amirsajjad Taleban; Samin Mahdizadeh Sani; Maryam Dadkhah; James M. Noble; Suzanne Bakken; et al. (CoRR, 2025)