Jay Pujara

Kartik Shenoy

Proceedings of the Knowledge Graphs and Semantic Web, 2022

Reflect, Not Reflex: Inference-Based Common Ground Improves Dialogue Response Quality.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

FETA: A Benchmark for Few-Sample Task Transfer in Open-Domain Dialogue.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Think Before You Speak: Explicitly Generating Implicit Commonsense Knowledge for Response Generation.

[BibT_eX]

[DOI]

Pei Zhou

Karthik Gopalakrishnan

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER.

[BibT_eX]

[DOI]

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Leveraging Visual Knowledge in Language Tasks: An Empirical Study on Intermediate Pre-training for Cross-Modal Knowledge Transfer.

[BibT_eX]

[DOI]

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Artificial Intelligence for Modeling Complex Systems: Taming the Complexity of Expert Models to Improve Decision Making.

[BibT_eX]

[DOI]

ACM Trans. Interact. Intell. Syst., 2021

Learning cell embeddings for understanding table layouts.

[BibT_eX]

[DOI]

Majid Ghasemi-Gol

Pedro A. Szekely

Knowl. Inf. Syst., 2021

Think Before You Speak: Using Self-talk to Generate Implicit Commonsense Knowledge for Response Generation.

[BibT_eX]

[DOI]

Pei Zhou

Karthik Gopalakrishnan

CoRR, 2021

Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER.

[BibT_eX]

[DOI]

CoRR, 2021

AutoTriggER: Named Entity Recognition with Auxiliary Trigger Extraction.

[BibT_eX]

[DOI]

Dong-Ho Lee

Ravi Kiran Selvam

Sheikh Muhammad Sarwar

CoRR, 2021

Probing Causal Common Sense in Dialogue Response Generation.

[BibT_eX]

[DOI]

CoRR, 2021

Retrieving Complex Tables with Multi-Granular Graph Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Commonsense-Focused Dialogues for Response Generation: An Empirical Study.

[BibT_eX]

[DOI]

Pei Zhou

Karthik Gopalakrishnan

Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2021

A Graph-Based Approach for Inferring Semantic Descriptions of Wikipedia Tables.

[BibT_eX]

[DOI]

Proceedings of the Semantic Web - ISWC 2021 - 20th International Semantic Web Conference, 2021

Representing Numbers in NLP: a Survey and a Vision.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

From Tables to Knowledge: Recent Advances in Table Understanding.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

SPADE: A Semi-supervised Probabilistic Approach for Detecting Errors in Tables.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

RICA: Evaluating Robust Inference Capabilities Based on Commonsense Axioms.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Probing Commonsense Explanation in Dialogue Response Generation.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Numeracy enhances the Literacy of Language Models.

[BibT_eX]

[DOI]

Avijit Thawani

Filip Ilievski

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Table-based Fact Verification With Salience-aware Learning.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Tabular Functional Block Detection with Embedding-based Agglomerative Cell Clustering.

[BibT_eX]

[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

A Hybrid Probabilistic Approach for Table Understanding.

[BibT_eX]

[DOI]

Kexuan Sun

Harsha Rayudu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Generating and Understanding Personalized Explanations in Hybrid Recommender Systems.

[BibT_eX]

[DOI]

ACM Trans. Interact. Intell. Syst., 2020

Can BERT Reason? Logically Equivalent Probes for Evaluating the Inference Capabilities of Language Models.

[BibT_eX]

[DOI]

CoRR, 2020

Human-like Time Series Summaries via Trend Utility Estimation.

[BibT_eX]

[DOI]

Pegah Jandaghi

CoRR, 2020

2019

Collective entity resolution in multi-relational familial networks.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2019

Statistical investigation of surface roughness and kerf on wire electrical discharge machining performance.

[BibT_eX]

[DOI]

Kartik D. Kothari

Ashish V. Gohil

Int. J. Manuf. Res., 2019

Learning Semantic Models of Data Sources Using Probabilistic Graphical Models.

[BibT_eX]

[DOI]

Binh Vu

Proceedings of the World Wide Web Conference, 2019

Extensible and Scalable Entity Resolution for Financial Datasets Using RLTK.

[BibT_eX]

[DOI]

Yixiang Yao

Pedro A. Szekely

Proceedings of the 5th Workshop on Data Science for Macro-modeling with Financial and Economic Datasets, 2019

Financial Entity Identification and Information Integration (FEIII) 2019 Challenge: The Report of the Organizing Committee.

[BibT_eX]

[DOI]

Proceedings of the 5th Workshop on Data Science for Macro-modeling with Financial and Economic Datasets, 2019

Entity Linking to Knowledge Graphs to Infer Column Types and Properties.

[BibT_eX]

[DOI]

Proceedings of the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching co-located with the 18th International Semantic Web Conference, 2019

T2WML: A Cell-Based Language to Map Tables into Wikidata Records.

[BibT_eX]

[DOI]

Proceedings of the ISWC 2019 Satellite Tracks (Posters & Demonstrations, 2019

A Common Framework for Developing Table Understanding Models.

[BibT_eX]

[DOI]

Proceedings of the ISWC 2019 Satellite Tracks (Posters & Demonstrations, 2019

D-REPR: A Language for Describing and Mapping Diversely-Structured Data Sources to RDF.

[BibT_eX]

[DOI]

Binh Vu

Proceedings of the 10th International Conference on Knowledge Capture, 2019

T2WML: Table To Wikidata Mapping Language.

[BibT_eX]

[DOI]

Proceedings of the 10th International Conference on Knowledge Capture, 2019

Personalized explanations for hybrid recommender systems.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Intelligent User Interfaces, 2019

An intelligent interface for integrating climate, hydrology, agriculture, and socioeconomic models.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Intelligent User Interfaces: Companion, 2019

Tabular Cell Classification Using Pre-Trained Cell Embeddings.

[BibT_eX]

[DOI]

Majid Ghasemi-Gol

Pedro A. Szekely

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Learning Data Transformations with Minimal User Effort.

[BibT_eX]

[DOI]

Minh Pham

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Mining Knowledge Graphs From Text.

[BibT_eX]

[DOI]

Sameer Singh

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Financial Entity Identification and Information Integration (FEIII) 2018 Challenge: The Report of the Organizing Committee.

[BibT_eX]

[DOI]

Proceedings of the Fourth International Workshop on Data Science for Macro-Modeling with Financial and Economic Datasets, 2018

Hybrid Link Prediction for Competitor Relationships.

[BibT_eX]

[DOI]

Proceedings of the Fourth International Workshop on Data Science for Macro-Modeling with Financial and Economic Datasets, 2018

Feature Selection Methods For Understanding Business Competitor Relationships.

[BibT_eX]

[DOI]

Rahul Gupta

Shushyam M. Sharanappa

Bharat Pulavarti

Gerard Hoberg

Gordon Phillips

Proceedings of the Fourth International Workshop on Data Science for Macro-Modeling with Financial and Economic Datasets, 2018

Scalable Probabilistic Causal Structure Discovery.

[BibT_eX]

[DOI]

Dhanya Sridhar

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Probabilistic Visitor Stitching on Cross-Device Web Logs.

[BibT_eX]

[DOI]

Proceedings of the 26th International Conference on World Wide Web, 2017

Extracting Knowledge Graphs from Financial Filings: Extended Abstract.

[BibT_eX]

[DOI]

Proceedings of the 3rd International Workshop on Data Science for Macro-Modeling with Financial and Economic Datasets, 2017

User Preferences for Hybrid Explanations.

[BibT_eX]

[DOI]

Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

Disambiguating Energy Disaggregation: A Collective Probabilistic Approach.

[BibT_eX]

[DOI]

Sabina Tomkins

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Collective Entity Resolution in Familial Networks.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Sparsity and Noise: Where Knowledge Graph Embeddings Fall Short.

[BibT_eX]

[DOI]

Eriq Augustine

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Using Noisy Extractions to Discover Causal Knowledge.

[BibT_eX]

Dhanya Sridhar

Proceedings of the 6th Workshop on Automated Knowledge Base Construction, 2017

2016

Probabilistic Models for Scalable Knowledge Graph Construction.

[BibT_eX]

[DOI]

PhD thesis, 2016

Generic Statistical Relational Entity Resolution in Knowledge Graphs.

[BibT_eX]

[DOI]

CoRR, 2016

Adaptive Neighborhood Graph Construction for Inference in Multi-Relational Networks.

[BibT_eX]

[DOI]

CoRR, 2016

Unsupervised models for predicting strategic relations between organizations.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

2015

Using Semantics and Statistics to Turn Data into Knowledge.

[BibT_eX]

[DOI]

AI Mag., 2015

Budgeted Online Collective Inference.

[BibT_eX]

[DOI]

Ben London

Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

RELLY: Inferring Hypernym Relationships Between Relational Phrases.

[BibT_eX]

[DOI]

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2013

Knowledge Graph Identification.

[BibT_eX]

[DOI]

Proceedings of the Semantic Web - ISWC 2013, 2013

Ontology-aware partitioning for knowledge graph identification.

[BibT_eX]

[DOI]

Proceedings of the 2013 workshop on Automated knowledge base construction, 2013

Large-Scale Knowledge Graph Identification Using PSL.

[BibT_eX]

[DOI]

Proceedings of the 2013 AAAI Fall Symposia, Arlington, Virginia, USA, November 15-17, 2013, 2013

2011

Using classifier cascades for scalable e-mail classification.

[BibT_eX]

[DOI]

Hal Daumé III