Michael Witbrock

Orcid: 0000-0002-7554-0971

Affiliations:
  • University of Auckland, School of Computer Science, Auckland, New Zealand
  • IBM Research (former)
  • Carnegie Mellon University, Pittsburgh, USA (former, PhD)


According to our database1, Michael Witbrock authored at least 121 papers between 1989 and 2024.

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Bibliography

2024
A graph transformer defence against graph perturbation by a flexible-pass filter.
Inf. Fusion, 2024

Counterfactual Causal Inference in Natural Language with Large Language Models.
CoRR, 2024

Robust Domain Generalisation with Causal Invariant Bayesian Neural Networks.
CoRR, 2024

Neural Fourier Modelling: A Highly Compact Approach to Time-Series Analysis.
CoRR, 2024

Transformers As Approximations of Solomonoff Induction.
CoRR, 2024

Using Large Language Models for the Interpretation of Building Regulations.
CoRR, 2024

Recurrence over Video Frames (RoVF) for the Re-identification of Meerkats.
CoRR, 2024

Intermediate representations to improve the semantic parsing of building regulations.
Adv. Eng. Informatics, 2024

Epic-Level Text Generation with LLM through Auto-prompted Reinforcement Learning.
Proceedings of the International Joint Conference on Neural Networks, 2024

Enhancing Data Augmentation with Knowledge-enriched Data Generation via Dynamic Prompt-tuning Method.
Proceedings of the International Joint Conference on Neural Networks, 2024

Large Language Models Are Not Strong Abstract Reasoners.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Can Large Language Models Learn Independent Causal Mechanisms?
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Behaviour Modelling of Social Animals via Causal Structure Discovery and Graph Neural Networks.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

Abstract Meaning Representation-Based Logic-Driven Data Augmentation for Logical Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Faithful Reasoning over Scientific Claims.
Proceedings of the AAAI 2024 Spring Symposium Series, 2024

Robust Node Classification on Graph Data with Graph and Label Noise.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Exploiting anonymous entity mentions for named entity linking.
Knowl. Inf. Syst., March, 2023

Teaching Smaller Language Models To Generalise To Unseen Compositional Questions.
Trans. Mach. Learn. Res., 2023

Learning to Guide a Saturation-Based Theorem Prover.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Do Smaller Language Models Answer Contextualised Questions Through Memorisation Or Generalisation?
CoRR, 2023

A Systematic Evaluation of Large Language Models on Out-of-Distribution Logical Reasoning Tasks.
CoRR, 2023

Exploring Self-Reinforcement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models.
CoRR, 2023

Answering Unseen Questions With Smaller Language Models Using Rationale Generation and Dense Retrieval.
CoRR, 2023

Meerkat Behaviour Recognition Dataset.
CoRR, 2023

Large Language Models Are Not Abstract Reasoners.
CoRR, 2023

Contrastive Learning with Logic-driven Data Augmentation for Logical Reasoning over Text.
CoRR, 2023

Input-length-shortening and text generation via attention values.
CoRR, 2023

Disentanglement of Latent Representations via Sparse Causal Interventions.
CoRR, 2023

A Survey of Methods, Challenges and Perspectives in Causality.
CoRR, 2023

Chain of Propagation Prompting for Node Classification.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Emotion Recognition ToolKit (ERTK): Standardising Tools For Emotion Recognition Research.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Disentanglement of Latent Representations via Causal Interventions.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

A Dynamic Prompt-tuning Method for Data Augmentation with Associated Knowledge.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Neuromodulation Gated Transformer.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Multi2Claim: Generating Scientific Claims from Multi-Choice Questions for Scientific Fact-Checking.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Boosting QA Performance Through SA-Net and AA-Net with the Read+Verify Framework.
Proceedings of the Data Science and Machine Learning, 2023

Learning Density-Based Correlated Equilibria for Markov Games.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Adversarial Inverse Reinforcement Learning for Mean Field Games.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Efficient size-prescribed k-core search.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023

2022
Relating Blindsight and AI: A Review.
J. Artif. Intell. Conscious., 2022

Data and model bias in artificial intelligence for healthcare applications in New Zealand.
Frontiers Comput. Sci., 2022

Multi-Step Deductive Reasoning Over Natural Language: An Empirical Study on Out-of-Distribution Generalisation.
Proceedings of the 16th International Workshop on Neural-Symbolic Learning and Reasoning as part of the 2nd International Joint Conference on Learning & Reasoning (IJCLR 2022), 2022

TaKG: A New Dataset for Paragraph-level Table-to-Text Generation Enhanced with Knowledge Graphs.
Proceedings of the Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022, 2022

Interpretable AMR-Based Question Decomposition for Multi-hop Question Answering.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Prompt-based Conservation Learning for Multi-hop Question Answering.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

AbductionRules: Training Transformers to Explain Unexpected Inputs.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

DeepQR: Neural-Based Quality Ratings for Learnersourced Multiple-Choice Questions.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Acoustic Features and Neural Representations for Categorical Emotion Recognition from Speech.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019
A Deep Reinforcement Learning based Approach to Learning Transferable Proof Guidance Strategies.
CoRR, 2019

High-Fidelity Vector Space Models of Structured Data.
CoRR, 2019

Graph Enhanced Cross-Domain Text-to-SQL Generation.
Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing, 2019

Discrete Adversarial Attacks and Submodular Optimization with Applications to Text Classification.
Proceedings of the Second Conference on Machine Learning and Systems, SysML 2019, 2019

Answering Science Exam Questions Using Query Reformulation with Background Knowledge.
Proceedings of the 1st Conference on Automated Knowledge Base Construction, 2019

Improving Natural Language Inference Using External Knowledge in the Science Questions Domain.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

A Sequential Set Generation Method for Predicting Set-Valued Outputs.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Discrete Attacks and Submodular Optimization with Applications to Text Classification.
CoRR, 2018

Answering Science Exam Questions Using Query Rewriting with Background Knowledge.
CoRR, 2018

D2KE: From Distance to Kernel and Embedding.
CoRR, 2018

An Implementation of Back-Propagation Learning on GF11, a Large SIMD Parallel Computer.
CoRR, 2018

Scalable Reasoning Infrastructure for Large Scale Knowledge Bases.
Proceedings of the ISWC 2018 Posters & Demonstrations, Industry and Blue Sky Ideas Tracks co-located with 17th International Semantic Web Conference (ISWC 2018), Monterey, USA, October 8th - to, 2018

Word Mover's Embedding: From Word2Vec to Document Embedding.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

An Interface for Annotating Science Questions.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018

Image Super-Resolution via Dual-State Recurrent Networks.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Random Warping Series: A Random Features Method for Time-Series Embedding.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset.
Proceedings of the Workshop on Machine Reading for Question Answering@ACL 2018, 2018

2017
Text Mining for the Semantic Web.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Curious Cat-Mobile, Context-Aware Conversational Crowdsourcing Knowledge Acquisition.
ACM Trans. Inf. Syst., 2017

Dilated Recurrent Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016
Controlling Search in Very large Commonsense Knowledge Bases: A Machine Learning Approach.
CoRR, 2016

Reports of the 2016 AAAI Workshop Program.
AI Mag., 2016

Curious cat conversational crowd based and context aware knowledge acquisition chat bot.
Proceedings of the 8th IEEE International Conference on Intelligent Systems, 2016

2015
Semantic Construction Grammar: Bridging the NL / Logic Divide.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Dense Models from Videos: Can YouTube be the Font of All Knowledge Bases?
Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, 2015

Cyc and the Big C: Reading that Produces and Uses Hypotheses about Complex Molecular Biology Mechanisms.
Proceedings of the Scholarly Big Data: AI Perspectives, 2015

2014
SRI-Sarnoff AURORA System at TRECVID 2014 Multimedia Event Detection and Recounting.
Proceedings of the 2014 TREC Video Retrieval Evaluation, 2014

2013
Conversational Computation.
Proceedings of the Handbook of Human Computation, 2013

Infrastructure and Architecture for Human Computer Intelligent Collaboration.
Proceedings of the Handbook of Human Computation, 2013

SRI-Sarnoff AURORA System at TRECVID 2013 Multimedia Event Detection and Recounting.
Proceedings of the 2013 TREC Video Retrieval Evaluation, 2013

2012
SRI-Sarnoff AURORA System at TRECVID 2012 Multimedia Event Detection and Recounting.
Proceedings of the 2012 TREC Video Retrieval Evaluation, 2012

2011
Large knowledge collider: a service-oriented platform for large-scale semantic reasoning.
Proceedings of the International Conference on Web Intelligence, Mining and Semantics, 2011


2010
Text Mining for the Semantic Web.
Proceedings of the Encyclopedia of Machine Learning, 2010

Harnessing Cyc to Answer Clinical Researchers' Ad Hoc Queries.
AI Mag., 2010

2009
Building Conversational Agents with Basilica.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31, 2009

Methods of Rule Acquisition in the TextLearner System.
Proceedings of the Learning by Reading and Learning to Read, 2009

Capturing Document Semantics for Ontology Generation and Document Summarization.
Proceedings of the Semantic Knowledge Management, 2009

2008
Thinking Big - AI at Web Scale.
Proceedings of the 2008 IEEE / WIC / ACM International Conference on Web Intelligence, 2008

Towards LarKC: A Platform for Web-Scale Reasoning.
Proceedings of the 2th IEEE International Conference on Semantic Computing (ICSC 2008), 2008

2007
Guiding Inference with Policy Search Reinforcement Learning.
Proceedings of the Twentieth International Florida Artificial Intelligence Research Society Conference, 2007

Autonomous Classification of Knowledge into an Ontology.
Proceedings of the Twentieth International Florida Artificial Intelligence Research Society Conference, 2007

2006
Common Sense Reasoning - From Cyc to Intelligent Assistant.
Proceedings of the Ambient Intelligence in Everyday Life - Foreword by Emile Aarts, 2006

Automated Population of Cyc: Extracting Information about Named-entities from the Web.
Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference, 2006

An Introduction to the Syntax and Content of Cyc.
Proceedings of the Formalizing and Compiling Background Knowledge and Its Applications to Knowledge Representation and Question Answering, 2006

Tracking Quantity Fluctuations Using STT.
Proceedings of the Capturing and Using Patterns for Evidence Detection, 2006

2005
Converting Semantic Meta-knowledge into Inductive Bias.
Proceedings of the Inductive Logic Programming, 15th International Conference, 2005

Knowledge Begets Knowledge: Steps towards Assisted Knowledge Acquisition in Cyc.
Proceedings of the Knowledge Collection from Volunteer Contributors, 2005

Analogy, Intelligent IR, and Knowledge Integration for Intelligence Analysis.
Proceedings of the AI Technologies for Homeland Security, 2005

A Knowledge-Based Approach to Network Security: Applying Cyc in the Domain of Network Risk Assessment.
Proceedings of the Proceedings, 2005

Searching for Common Sense: Populating Cyc™ from the Web.
Proceedings of the Proceedings, 2005

2004
Project Halo: Towards a Digital Aristotle.
AI Mag., 2004

Automated OWL Annotation Assisted by a Large Knowledge Base.
Proceedings of the 4th International Workshop on Knowledge Markup and Semantic Annotation ( SemAnnot 2004 ) located at the 3rd International Semantic Web Conference ISWC 2004 8th November 2004, 2004

Towards a Quantitative, Platform-Independent Analysis of Knowledge Systems.
Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Ninth International Conference (KR2004), 2004

Inferring parts of speech for lexical mappings via the Cyc KB.
Proceedings of the COLING 2004, 2004

2003
Inducing criteria for lexicalization parts of speech using the Cyc KB.
Proceedings of the IJCAI-03, 2003

2000
Learning Models of Speaker Variation
PhD thesis, 2000

Headline Generation Based on Statistical Translation.
Proceedings of the 38th Annual Meeting of the Association for Computational Linguistics, 2000

1999
Ultra-Summarization: A Statistical Approach to Generating Highly Condensed Non-Extractive Summaries (poster abstract).
Proceedings of the SIGIR '99: Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 1999

Improving the suitability of imperfect transcriptions for information retrieval from spoken documents.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

1998
Speech Recognition for a Digital Video Library.
J. Am. Soc. Inf. Sci., 1998

Experiments in Spoken Document Retrieval at CMU.
Proceedings of The Seventh Text REtrieval Conference, 1998

Story Segmentation and Detection of Commercials in Broadcast News Video.
Proceedings of the IEEE Forum on Research and Technology Advances in Digital Libraries, 1998

1997
Experiments in Spoken Document Retrieval at CMU.
Proceedings of The Sixth Text REtrieval Conference, 1997

Using Words and Phonetic Strings for Efficient Information Retrieval from Imperfectly Transcribed Spoken Documents.
Proceedings of the 2nd ACM International Conference on Digital Libraries, 1997

Artificial Intelligence Techniques in the Interface to a Digital Video Library.
Proceedings of the Human Factors in Computing Systems, 1997

1995
News-on-Demand: An Application of Informedia® Technology.
D Lib Mag., 1995

Speech for Multimedia Information Retrieval.
Proceedings of the 8th Annual ACM Symposium on User Interface Software and Technology, 1995

1992
Rapid connectionist speaker adaptation.
Proceedings of the 1992 IEEE International Conference on Acoustics, 1992

1990
An implementation of backpropagation learning on GF11, a large SIMD parallel computer.
Parallel Comput., 1990

1989
A connectionist approach to continuous speech recognition.
Proceedings of the IEEE International Conference on Acoustics, 1989


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