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Dr. Surdeanu earned a Ph.D. in Computer Science from Southern Methodist University, Dallas, Texas, in 2001. He has more than 15 years of experience in building systems driven by natural language processing (NLP) and machine learning. His experience spans both academia (Stanford University, University of Arizona) and industry (Yahoo! Research and two NLP-centric startups). During his career he published more than 80 peer-reviewed articles, including two articles that were among the top three most cited articles at two different NLP conferences. He was a leader or member of teams that ranked in the top three at seven highly competitive international evaluations of end-user NLP systems such as question answering and information extraction. His work was funded by several government organizations (DARPA, NIH), as well as private foundations (the Allen Institute for Artificial Intelligence, the Bill & Melinda Gates Foundation).Show Less
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Courses
- SFIAStatistical Foundations for the Information Age
- ANLPAlgorithms for Natural Language Processing
- SNLPStatistical Natural Language Processing
- ANLPApplied Natural Language Processing
- ATCIAdvanced Topics in Computational Intelligence
- TRWSText Retrieval and Web Search
Grants
- SKEMA: Scientific Knowledge Extraction and Model Analysis
Co-Investigator (COI)
2022
$1.5M
Active - DASS: A Framework for Accountable Smart Contracts Wills
Co-Investigator (COI)
2022
$748.3K
Active - HEURISTICS: Hyperlocal Elicitation and Understanding of Risks to Stability In Complex Systems
Principal Investigator (PI)
2021
$428.4K
Active - III: Small: Accessible and Interpretable Machine Reading Methods for Extracting Structured Information from Text
Principal Investigator (PI)
2020
$499.9K
Active - III: Small: Collaborative Research: Explainable Natural Language Inference
Co-Investigator (COI)
2018
$262.5K
Active - AutoMATES: Automated Model Assembly from Text, Equations, and Software
Co-Investigator (COI)
2018
$2.2M
- An Automated Scientific Discovery Framework (ASDF) for Mechanistic Reasoning Across Complex Data
Principal Investigator (PI)
2018
$307.4K
- GRASP: Global Reading and Assembly for Semantic, Probabilistic World Models
Principal Investigator (PI)
2017
$9.6M
- GRASP: Global Reading and Assembly for Semantic, Probabilistic World Models
Principal Investigator (PI)
2017
$1.1M
- Enabling Large-Scale Research on Autism Spectrum Disorders through Automated Processing of EHR Using Natural Language Understanding
Co-Investigator (COI)
2017
$292.4K
Technologies / Patents
News
- Grant to Fund Development of Socially Savvy Artificial Intelligence
2020
- AI Explained as 'Intelligence Augmentation'
2018
- Machines as Co-Workers: A New Era Is Upon Us
2018
- Tucson Festival of Books to Celebrate 10th Anniversary
2018
- 'Humans, Data and Machines' Is Theme of UA Science Series
2018
- Fiscal Year Closes With Continued Momentum for Tech Launch Arizona
2017
- Startup Licenses UA-Invented Language Processing Algorithm
2017
- Raising Computers to Be Good Scientists
2015
- Do You Need a Junk-Food Intervention?
2014
Publications (105)
Recent
- How May I Help You? Using Neural Text Simplification to Improve Downstream NLP Tasks
2021
- Explainable Multi-hop Verbal Reasoning Through Internal Monologue
2021
- Students Who Study Together Learn Better: On the Importance of Collective Knowledge Distillation for Domain Transfer in Fact Verification
2021
- Using the Hammer Only on Nails: A Hybrid Method for Evidence Retrieval for Question Answering
2021
- Interpretability Rules: Jointly Bootstrapping a Neural Relation Extractor with an Explanation Decoder
2021
- Data and Model Distillation as a Solution for Domain-transferable Fact Verification
2021
- Cheap and good? simple and effective data augmentation for low resource machine reading
2021
- If You Want to Go Far Go Together: Unsupervised Joint Candidate Evidence Retrieval for Multi-hop Question Answering
2021
- Parsing as Tagging
2020
- Having Your Cake and Eating it Too: Training Neural Retrieval for Language Inference without Losing Lexical Match
2020
- Do Transformers Dream of Inference, or Can Pretrained Generative Models Learn Implicit Inferential Rules?
2020
- Exploring Interpretability in Event Extraction: Multitask Learning of a Neural Event Classifier and an Explanation Decoder
2020
- An Unsupervised Method for Learning Representations of Multi-word Expressions for Semantic Classification
2020
- An Analysis of Capsule Networks for Part of Speech Tagging in High- and Low-resource Scenarios
2020
- Unsupervised Alignment-based Iterative Evidence Retrieval for Multi-hop Question Answering
2020
- Eidos, INDRA, \ Delphi: From Free Text to Executable Causal Models
2019
- Lightly Supervised Representation Learning with Global Interpretability
2019
- University of Arizona at SemEval-2019 Task 12: Deep-Affix Named Entity Recognition of Geolocation Entities
2019
- Alignment over Heterogeneous Embeddings for Question Answering
2019
- What does the language of foods say about us?
2019
- Understanding the Polarity of Events in the Biomedical Literature: Deep Learning vs. Linguistically-informed Methods
2019
- Quick and (not so) Dirty: Unsupervised Selection of Justification Sentences for Multi-hop Question Answering
2019
- Semi-Supervised Teacher-Student Architecture for Relation Extraction
2019
- On the Importance of Delexicalization for Fact Verification
2019
- Enabling Search and Collaborative Assembly of Causal Interactions Extracted from Multilingual and Multi-domain Free Text
2019
- Exploration of Noise Strategies in Semi-supervised Named Entity Classification
2019
- Visual Supervision in Bootstrapped Information Extraction
2018
- Text Annotation Graphs: Annotating Complex Natural Language Phenomena
2018
- Sanity Check: A Strong Alignment and Information Retrieval Baseline for Question Answering
2018
- A Study of Calorie Estimation in Pictures of Food
2018
- Detecting Cyber Threats in Non-English Dark Net Markets: A Cross-Lingual Transfer Learning Approach
2018
- Controlling Information Aggregation for Complex Question Answering
2018
- A Test of The Risk Perception Attitude Framework as a Message Tailoring Strategy to Promote Diabetes Screening
2018
- Large-scale Automated Machine Reading Discovers New Cancer Driving Mechanisms
2018
- Scientific Discovery as Link Prediction in Influence and Citation Graphs
2018
- Keep your bearings: Lightly-supervised Information Extraction with Ladder Networks that avoids Semantic Drift
2018
- Grounding Gradable Adjectives through Crowdsourcing
2018
- MLStar: Machine Learning in Energy Profile Estimation of Android Apps
2017
- Swanson linking revisited: Accelerating literature-based discovery across domains using a conceptual influence graph
2017
- A scaffolding approach to coreference resolution integrating statistical and rule-based models
2017
- Focused Reading: Reinforcement Learning for What Documents to Read
2017
- Large-scale automated reading with Reach discovers new cancer driving mechanisms
2017
- Learning what to read: Focused machine reading
2017
- Tell Me Why: Using Question Answering as Distant Supervision for Answer Justification
2017
- Creating Causal Embeddings for Question Answering with Minimal Supervision
2016
- An Investigation of Coreference Phenomena in the Biomedical Domain
2016
- Towards Using Social Media to Identify Individuals at Risk for Preventable Chronic Illness
2016
- Odin’s Runes: A Rule Language for Information Extraction
2016
- SnapToGrid: From Statistical to Interpretable Models for Biomedical Information Extraction
2016
- What's in an Explanation? Characterizing Knowledge and Inference Requirements for Elementary Science Exams
2016
- Framing QA as Building and Ranking Intersentence Answer Justifications
2016
- This before That: Causal Precedence in the Biomedical Domain
2016
- Diamonds in the Rough: Event Extraction from Imperfect Microblog Data
2015
- Spinning Straw into Gold: Using Free Text to Train Monolingual Alignment Models for Non-factoid Question Answering
2015
- Two Practical Rhetorical Structure Theory Parsers
2015
- A Domain-independent Rule-based Framework for Event Extraction
2015
- Higher-order Lexical Semantic Models for Non-factoid Answer Reranking
2015
- Event Extraction Using Distant Supervision
2014
- Discourse Complements Lexical Semantics for Non-factoid Answer Reranking
2014
- On the Importance of Text Analysis for Stock Price Prediction
2014
- The Stanford CoreNLP Natural Language Processing Toolkit
2014
- Extracting Latent Attributes from Video Scenes Using Text as Background Knowledge
2014
- Analyzing the Language of Food on Social Media
2014
- Removing noisy mentions for distant supervision
2013
- Overview of the English Slot Filling Track at the TAC2014 Knowledge Base Population Evaluation
2013
- Bayesian modeling of scenes and captions.
2013
- Overview of the TAC2013 Knowledge Base Population Evaluation: English Slot Filling and Temporal Slot Filling
2013
- Identifying patent monetization entities
2013
- Selectional preferences for semantic role classification
2013
- Deterministic Coreference Resolution Based on Entity-Centric, Precision-Ranked Rules
2013
- Transmitting Narrative: An Interactive Shift-Summarization Tool for Improving Nurse Communication
2013
- Combining joint models for biomedical event extraction.
2012
- Joint entity and event coreference resolution across documents
2012
- Using evolutive summary counters for efficient cooperative caching in search engines
2012
- Multi-instance multi-label learning for relation extraction
2012
- Risk analysis for intellectual property litigation
2011
- Learning to rank answers to non-factoid questions from web collections
2011
- Event extraction as dependency parsing
2011
- A multi-pass sieve for coreference resolution
2010
- Improving semantic role classification with selectional preferences
2010
- Ensemble Models for dependency parsing: Cheap and good?
2010
- Company-oriented extractive summarization of financial news
2009
- Learning to rank answers on large online QA collections
2008
- DeSRL: A linear-time semantic role labeling system
2008
- Cache-aware load balancing for question answering
2008
- Analysis of joint inference strategies for the semantic role labeling of Spanish and Catalan
2008
- Robust question answering for speech transcripts using minimal syntactic analysis
2008
- A multi-layer collaborative cache for question answering
2007
- Combination strategies for semantic role labeling
2007
- A comparison of statistical and rule-induction learners for automatic tagging of time expressions in English
2007
- Design and performance analysis of a factoid question answering system for spontaneous speech transcriptions
2006
- Projective dependency parsing with perceptron
2006
- A robust combination strategy for semantic role labeling
2005
- A hybrid unsupervised approach for document clustering
2005
- TALP-UPC at TREC 2005: Experiments using a voting scheme among three heterogeneous QA systems
2005
- The TALP-QA system for Spanish at CLEF 2004: Structural and hierarchical relaxing of semantic constraints
2005
- Semantic role labeling using complete syntactic analysis
2005
- Named entity recognition from spontaneous open-domain speech
2005
- On the role of information retrieval and information extraction in question answering systems
2003
- Performance issues and error analysis in an open-domain question answering system
2003
- Performance analysis of a distributed question/answering system
2002
- Design and performance analysis of a distributed Java Virtual Machine
2002
- Distributed Java virtual machine for message passing architectures
2000