Theses
Probabilistic Models for Scalable Knowledge Graph Construction.
(2016)
Ph.D. thesis, University of Maryland, College Park.
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Fundamental Properties of Feature Selection in fMRI Data.
(2005)
Master's thesis, Carnegie Mellon University.
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Journals and Magazines
Gendered citation patterns among the scientific elite.
(2022)
Proceedings of the National Academy of Sciences 119(40).
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Artificial intelligence for modeling complex systems: taming the complexity of expert models to improve decision making.
(2021)
ACM Transactions on Interactive Intelligent Systems 11(2).
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Learning Cell Embeddings for Understanding Table Layouts.
(2020)
Knowledge and Information Systems 1(64).
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Generating and Understanding Personalized Explanations in Hybrid Recommender Systems.
(2020)
ACM Transactions on Interactive Intelligent Systems 10(4).
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Collective Entity Resolution in Multi-relational Familial Networks.
(2018)
Knowledge and Information Systems 61(3).
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Using Semantics & Statistics to Turn Data into Knowledge.
(2015)
AI Magazine 36(1).
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Refereed Conferences
XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models.
(2023)
Association for Computational Linguistics.
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seq2seq-SC: End-to-End Semantic Communication Systems with Pre-Trained Language Models.
(2023)
Asilomar Conference on Signals, Systems, and Computers.
AutoTriggER: Label-Efficient and Robust Named Entity Recognition with Auxiliary Trigger Extraction.
(2023)
European Chapter of the Association for Computational Linguistics.
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Temporal Knowledge Graph Forecasting Without Knowledge Using In-Context Learning.
(2023)
Conference on Empirical Methods in Natural Language Processing.
arxiv
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Making Large Language Models Better Data Creators.
(2023)
Conference on Empirical Methods in Natural Language Processing.
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Comparison of Knowledge Graph Representations for Consumer Scenarios.
(2023)
International Semantic Web Conference.
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Analyzing Norm Violations in Live-Stream Chat.
(2023)
Conference on Empirical Methods in Natural Language Processing.
arxiv
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Learn Your Tokens: Word-Pooled Tokenization for Language Modeling.
(2023)
Findings of the Association for Computational Linguistics: EMNLP.
arxiv
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I Cast Detect Thoughts: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons.
(2023)
Association for Computational Linguistics.
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FETA: A benchmark for few-sample task transfer in open-domain dialogue.
(2022)
Conference on Empirical Methods in Natural Language Processing.
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Does Wikidata Support Analogical Reasoning?.
(2022)
Iberoamerican Knowledge Graphs and Semantic Web Conference.
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Leveraging Visual Knowledge in Language Tasks: An Empirical Study on Intermediate Pre-training for Cross-Modal Knowledge Transfer.
(2022)
Association for Computational Linguistics.
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Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER.
(2022)
Association for Computational Linguistics.
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Assessing Scientific Research Papers with Knowledge Graphs.
(2022)
ACM Conference on Research and Development in Information Retrieval (SIGIR).
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Think Before You Speak: Explicitly Generating Implicit Commonsense Knowledge for Response Generation.
(2022)
Association for Computational Linguistics.
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Reflect, Not Reflex: Inference-Based Common Ground Improves Dialogue Response Quality.
(2022)
Conference on Empirical Methods in Natural Language Processing.
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Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources.
(2021)
Conference on Empirical Methods in Natural Language Processing.
arxiv
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SPADE: A Semi-supervised Probabilistic Approach for Detecting Errors in Tables.
(2021)
International Joint Conference on Aritificial Intelligence (IJCAI).
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A Hybrid Probabilistic Approach for Table Understanding.
(2021)
Conference on Artificial Intelligence (AAAI).
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Tabular Functional Block Detection with Embedding-based Agglomerative Cell Clustering.
(2021)
Conference on Information and Knowledge Management.
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Numeracy enhances the Literacy of Language Models.
(2021)
Conference on Empirical Methods in Natural Language Processing.
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Representing Numbers in NLP: a Survey and a Vision.
(2021)
Conference of the North American Chapter of the Association for Computational Linguistics (NAACL).
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A Graph-based Approach for Inferring Semantic Descriptions of Wikipedia Tables.
(2021)
International Semantic Web Conference.
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Table-based Fact Verification With Salience-aware Learning.
(2021)
Findings of the Association for Computational Linguistics: EMNLP 2021.
arxiv
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Retrieving Complex Tables with Multi-Granular Graph Representation Learning.
(2021)
ACM Conference on Research and Development in Information Retrieval (SIGIR).
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Commonsense-Focused Dialogues for Response Generation An Empirical Study.
(2021)
Proceedings of the Special Interest Group on Discourse and Dialogue.
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RICA: Evaluating Robust Inference Capabilities Based on Commonsense Axioms.
(2021)
Conference on Empirical Methods in Natural Language Processing.
arxiv
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Probing Commonsense Explanation in Dialogue Response Generation.
(2021)
Findings of the Association for Computational Linguistics: EMNLP 2021.
arxiv
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Tabular Cell Classification Using Pre-Trained Cell Embeddings.
(2019)
International Conference on Data Mining.
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Personalized Explanations for Hybrid Recommender Systems.
(2019)
ACM International Conference on Intelligent User Interfaces.
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Learning Data Transformations with Minimal User Effort.
(2019)
IEEE BigData Conference.
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A Common Framework for Developing Table Understanding Models.
(2019)
International Semantic Web Conference - Posters.
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T2WML: Table To Wikidata Mapping Langauge.
(2019)
ACM International Conference on Knowledge Capture (K-CAP).
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D-REPR: A Language for Describing and Mapping Diversely-Structured Data Sources to RDF.
(2019)
ACM International Conference on Knowledge Capture (K-CAP).
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Learning Semantic Models of Data Sources Using Probabilistic Graphical Models.
(2019)
The Web Conference.
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Scalable Probabilistic Causal Structure Discovery.
(2018)
International Joint Conference on Artificial Intelligence.
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Probabilistic Visitor Stitching on Cross-Device Web Logs.
(2017)
World Wide Web Conference.
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Collective Entity Resolution in Familial Networks.
(2017)
IEEE International Conference on Data Mining.
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User Preferences for Hybrid Explanations.
(2017)
ACM Conference on Recommender Systems.
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Sparsity and Noise: Where Knowledge Graph Embeddings Fall Short.
(2017)
Conference on Empirical Methods in Natural Language Processing (EMNLP).
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Disambiguating Energy Disaggregation: A Collective Probabilistic Approach.
(2017)
International Joint Conference on Artificial Intelligence.
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Unsupervised Models for Predicting Strategic Relations between Organizations.
(2016)
International Conference on Advances in Social Networks Analysis and Mining.
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RELLY: Inferring Hypernym Relationships Between Relational Phrases.
(2015)
Conference on Empirical Methods in Natural Language Processing.
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Budgeted Online Collective Inference.
(2015)
Uncertainty and Artificial Intelligence (UAI).
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Knowledge Graph Identification.
(2013)
International Semantic Web Conference (ISWC).
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slides
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Using Classifier Cascades for Scalable E-Mail Classification.
(2011)
Collaboration, Electronic Messaging, Anti-Abuse and Spam Conference.
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Refereed Workshops and Symposia
Graph-Based Structure Aware Citation Intent Classification.
(2023)
Workshop on Scientific Document Understanding at AAAI.
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Identifying Quantifiably Verifiable Statements from Text.
(2023)
ACL Workshop on Matching From Unstructured and Structured Data .
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Is Dynamicity All You Need?.
(2023)
Workshop on Scientific Document Understanding at AAAI.
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Low-Resource Financial QA with Case-based Reasoning.
(2023)
KDD Workshop on Robust NLP for Finance.
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Changes in Research Collaborations During the Pandemic.
(2023)
International Society of Scientometrics and Informetrics Conference.
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Visual Sudoku Puzzle Classification: A Suite of Collective Neuro-Symbolic Tasks.
(2022)
Workshop on Neural-Symbolic Learning and Reasoning.
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Understanding Narratives through Dimensions of Analogy.
(2022)
IJCAI Workshop on Qualitative Reasoning.
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Estimating Numbers Without Regression.
(2022)
NeurIPS workshop on MathAI.
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Story Generation with Commonsense Knowledge Graphs and Axioms.
(2021)
AKBC Workshop on Commonsense Reasoning and Knowledge Bases.
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Finding Pragmatic Differences Between Disciplines.
(2021)
NAACL Workshop on Scholarly Document Processing.
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AutoTriggER: Named Entity Recognition with Auxiliary Trigger Extraction.
(2021)
NAACL Workshop on Trustworthy Natural Langugage Processing.
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Human-like Time Series Summaries via Trend Utility Estimation.
(2020)
Ninth International Workshop on Statistical Relational AI.
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Collective Alignment of Large-scale Ontologies.
(2019)
AKBC Workshop on Federated KBs and the Open Knowledge Network.
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An Intelligent Interface for Integrating Climate, Hydrology, Agriculture, and Socioeconomic Models.
(2019)
Proceedings of the 24th International Conference on Intelligent User Interfaces: Companion.
Enterprise OKN: A Federated Knowledge Graph for Financial Data.
(2019)
AKBC Workshop on Federated KBs and the Open Knowledge Network.
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Parsing, Representing, and Transforming Units of Measure.
(2019)
Modeling the World's Systems.
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Entity linking to knowledge graphs to infer column types and properties..
(2019)
The Semantic Web Challenge on Tabular Data to Knowledge Graph Matching at ISWC.
Extensible and Scalable Entity Resolution for Financial Datasets Using RLTK.
(2019)
SIGMOD Workshop on Data Science for Macro-modeling with Financial and Economic Datasets.
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Aligning Product Categories using Anchor Products.
(2018)
WSDM Workshop on Knowledge Base Construction, Reasoning and Mining.
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Feature Selection Methods For Understanding Business Competitor Relationships.
(2018)
Fourth International Workshop on Data Science for Macro-Modeling with Financial and Economic Datasets.
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Hybrid Link Prediction for Competitor Relationships.
(2018)
Fourth International Workshop on Data Science for Macro-Modeling with Financial and Economic Datasets.
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Using Noisy Extractions to Discover Causal Knowledge.
(2018)
Sixth Workshop on Automated Knowledge Base Construction.
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Extracting Knowledge Graphs from Financial Filings.
(2017)
Third International Workshop on Data Science for Macro-Modeling with Financial and Economic Datasets.
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Adaptive Neighborhood Graph Construction for Inference in Multi-Relational Networks.
(2016)
12th International Workshop on Mining and Learning with Graphs (MLG).
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Generic Statistical Relational Entity Resolution in Knowledge Graphs.
(2016)
Sixth International Workshop on Statistical Relational AI.
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Online Inference for Knowledge Graph Construction..
(2015)
Fifth International Workshop on Statistical Relational AI.
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A Unified Probabilistic Approach for Semantic Clustering of Relational Phrases.
(2014)
Fourth Workshop on Automated Knowledge Base Construction.
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Building Dynamic Knowledge Graphs.
(2014)
Fourth Workshop on Automated Knowledge Base Construction.
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Probabilistic Models for Collective Entity Resolution Between Knowledge Graphs.
(2014)
Bay Area Machine Learning Symposium.
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Ontology-Aware Partitioning for Knowledge Graph Identification.
(2013)
Third Workshop on Automatic Knowledge Base Construction.
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Extended Abstract: Large-Scale Knowledge Graph Identification using PSL.
(2013)
AAAI Fall Symposium on Semantics for Big Data.
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Large-Scale Knowledge Graph Identification using PSL.
(2013)
Workshop on Structured Learning.
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Joint Judgments with a Budget: Strategies for Reducing the Cost of Inference.
(2013)
Workshop on Machine Learning with Test-Time Budgets.
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Social Group Modeling with Probabilistic Soft Logic.
(2012)
Workshop on Social Network and Social Media Analysis: Methods, Models, and Applications.
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Large-Scale Hierarchical Topic Models.
(2012)
Workshop on Big Learning.
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Facilitating Medication Reconciliation with Animation and Spatial Layout.
(2011)
Workshop on Interactive Healthcare Systems.
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Reducing Label Cost by Combining Feature Labels and Crowdsourcing.
(2011)
Workshop on Combining Learning Strategies to Reduce Label Cost.
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Coarse-to-Fine, Cost-Sensitive Classification of E-Mail.
(2010)
Workshop on Coarse-to-Fine Processing.
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Patents
User Trustworthiness.
(2016)
Patent 9519682.
Real-Time Ad-Hoc Spam Filtering of E-Mail.
(2011)
Patent 8069128.
Employing Pixel Density to Detect a Spam Image.
(2011)
Patent 7882177.
Identifying IP Addresses for Spammers.
(2010)
Patent 7849146.