Michael R. Glass

Affiliations:
  • IBM T. J. Watson Research Center, Yorktown Heights
  • University of Texas at Austin, Department of Computer Sciences


According to our database1, Michael R. Glass authored at least 36 papers between 2007 and 2023.

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Bibliography

2023
Open Government Data Corpus for Table Search.
CoRR, 2023


Retrieval-Based Transformer for Table Augmentation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
End-to-End Table Question Answering via Retrieval-Augmented Generation.
CoRR, 2022

Applying a Generic Sequence-to-Sequence Model for Simple and Effective Keyphrase Generation.
CoRR, 2022

AIT-QA: Question Answering Dataset over Complex Tables in the Airline Industry.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2022

Re2G: Retrieve, Rerank, Generate.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

KGI: An Integrated Framework for Knowledge Intensive Language Tasks.
Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
Populating Web-Scale Knowledge Graphs Using Distantly Supervised Relation Extraction and Validation.
Inf., 2021

Zero-shot Slot Filling with DPR and RAG.
CoRR, 2021

Capturing Row and Column Semantics in Transformer Based Question Answering over Tables.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Robust Retrieval Augmented Generation for Zero-shot Slot Filling.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

CLTR: An End-to-End, Transformer-Based System for Cell-Level Table Retrieval and Table Question Answering.
Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
P2L: Predicting Transfer Learning for Images and Semantic Relations.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Span Selection Pre-training for Question Answering.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Translucent Answer Predictions in Multi-Hop Reading Comprehension.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Frustratingly Easy Natural Question Answering.
CoRR, 2019

Populating Web Scale Knowledge Graphs using Distantly Supervised Relation Extraction and Validation.
CoRR, 2019

P2L: Predicting Transfer Learning for Images and Semantic Relations.
CoRR, 2019

Scalable Hierarchical Clustering with Tree Grafting.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

CFO: A Framework for Building Production NLP Systems.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Learning Relational Representations by Analogy using Hierarchical Siamese Networks.
Proceedings of the 1st Conference on Automated Knowledge Base Construction, 2019

Learning to Transfer Relational Representations through Analogy.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Inducing Implicit Relations from Text Using Distantly Supervised Deep Nets.
Proceedings of the Semantic Web - ISWC 2018, 2018

A Dataset for Web-Scale Knowledge Base Population.
Proceedings of the Semantic Web - 15th International Conference, 2018

Discovering Implicit Knowledge with Unary Relations.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Language Independent Acquisition of Abbreviations.
CoRR, 2017

WatsonPaths: Scenario-Based Question Answering and Inference over Unstructured Information.
AI Mag., 2017

2015
Applying deep learning to answer selection: A study and an open task.
Proceedings of the 2015 IEEE Workshop on Automatic Speech Recognition and Understanding, 2015

2014
Word Semantic Representations using Bayesian Probabilistic Tensor Factorization.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Lexical Substitution for the Medical Domain.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

2013
JoBimText Visualizer: A Graph-based Approach to Contextualizing Distributional Similarity.
Proceedings of TextGraphs@EMNLP 2013: the 8th Workshop on Graph-based Methods for Natural Language Processing, 2013

2012
Focused Grounding for Markov Logic Networks.
Proceedings of the Twenty-Fifth International Florida Artificial Intelligence Research Society Conference, 2012

Structured Term Recognition in Medical Text.
Proceedings of the COLING 2012, 2012

2008
Improving Semantic Integration by Learning Semantic Interpretation Rules.
Proceedings of the Semantic Scientific Knowledge Integration, 2008

2007
Learning by Reading: A Prototype System, Performance Baseline and Lessons Learned.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007


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