Peter Clark

According to our database1, Peter Clark authored at least 186 papers between 1987 and 2024.

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Awards

IEEE Fellow

IEEE Fellow 1980, "For contributions and technical leadership in the development of high-energy laser technology".

Timeline

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Bibliography

2024
DiscoveryBench: Towards Data-Driven Discovery with Large Language Models.
CoRR, 2024

DISCOVERYWORLD: A Virtual Environment for Developing and Evaluating Automated Scientific Discovery Agents.
CoRR, 2024

Learning to Reason via Program Generation, Emulation, and Search.
CoRR, 2024

PROC2PDDL: Open-Domain Planning Representations from Texts.
CoRR, 2024

Data-driven Discovery with Large Generative Models.
CoRR, 2024

PDDLEGO: Iterative Planning in Textual Environments.
Proceedings of the 13th Joint Conference on Lexical and Computational Semantics, 2024

ADaPT: As-Needed Decomposition and Planning with Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

QualEval: Qualitative Evaluation for Model Improvement.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Leveraging Code to Improve In-Context Learning for Semantic Parsing.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

NELLIE: A Neuro-Symbolic Inference Engine for Grounded, Compositional, and Explainable Reasoning.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Skill Set Optimization: Reinforcing Language Model Behavior via Transferable Skills.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Position: Data-driven Discovery with Large Generative Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Enhancing Systematic Decompositional Natural Language Inference Using Informal Logic.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

SUPER: Evaluating Agents on Setting Up and Executing Tasks from Research Repositories.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Can Language Models Serve as Text-Based World Simulators?
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024

Tailoring with Targeted Precision: Edit-Based Agents for Open-Domain Procedure Customization.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

The Unreasonable Effectiveness of Easy Training Data for Hard Tasks.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Digital Socrates: Evaluating LLMs through Explanation Critiques.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
BaRDa: A Belief and Reasoning Dataset that Separates Factual Accuracy and Reasoning Ability.
CoRR, 2023

One Size Does Not Fit All: Customizing Open-Domain Procedures.
CoRR, 2023

CLIN: A Continually Learning Language Agent for Rapid Task Adaptation and Generalization.
CoRR, 2023

Attentiveness to Answer Choices Doesn't Always Entail High QA Accuracy.
CoRR, 2023

RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs.
CoRR, 2023

Self-Refine: Iterative Refinement with Self-Feedback.
CoRR, 2023

Self-Refine: Iterative Refinement with Self-Feedback.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Decomposed Prompting: A Modular Approach for Solving Complex Tasks.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Complexity-Based Prompting for Multi-step Reasoning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Increasing Probability Mass on Answer Choices Does Not Always Improve Accuracy.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Language Models with Rationality.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

IfQA: A Dataset for Open-domain Question Answering under Counterfactual Presuppositions.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Do language models have coherent mental models of everyday things?
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Just-DREAM-about-it: Figurative Language Understanding with DREAM-FLUTE.
CoRR, 2022

Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering.
CoRR, 2022

Towards Teachable Reasoning Systems.
CoRR, 2022

Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning to repair: Repairing model output errors after deployment using a dynamic memory of feedback.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

DREAM: Improving Situational QA by First Elaborating the Situation.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Entailer: Answering Questions with Faithful and Truthful Chains of Reasoning.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Towards Teachable Reasoning Systems: Using a Dynamic Memory of User Feedback for Continual System Improvement.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

LILA: A Unified Benchmark for Mathematical Reasoning.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Memory-assisted prompt editing to improve GPT-3 after deployment.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

What Makes Instruction Learning Hard? An Investigation and a New Challenge in a Synthetic Environment.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Improving scripts with a memory of natural feedback.
CoRR, 2021

DREAM: Uncovering Mental Models behind Language Models.
CoRR, 2021

Interscript: A dataset for interactive learning of scripts through error feedback.
CoRR, 2021

General-Purpose Question-Answering with Macaw.
CoRR, 2021

Improving Neural Model Performance through Natural Language Feedback on Their Explanations.
CoRR, 2021

Enriching a Model's Notion of Belief using a Persistent Memory.
CoRR, 2021

proScript: Partially Ordered Scripts Generation via Pre-trained Language Models.
CoRR, 2021

CURIE: An Iterative Querying Approach for Reasoning About Situations.
CoRR, 2021

Think you have Solved Direct-Answer Question Answering? Try ARC-DA, the Direct-Answer AI2 Reasoning Challenge.
CoRR, 2021

Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

proScript: Partially Ordered Scripts Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Think about it! Improving defeasible reasoning by first modeling the question scenario.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

BeliefBank: Adding Memory to a Pre-Trained Language Model for a Systematic Notion of Belief.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

How much coffee was consumed during EMNLP 2019? Fermi Problems: A New Reasoning Challenge for AI.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Explaining Answers with Entailment Trees.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

ProofWriter: Generating Implications, Proofs, and Abductive Statements over Natural Language.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Do Dogs have Whiskers? A New Knowledge Base of hasPart Relations.
CoRR, 2020

Teaching Pre-Trained Models to Systematically Reason Over Implicit Knowledge.
CoRR, 2020

UnifiedQA: Crossing Format Boundaries With a Single QA System.
CoRR, 2020

GenericsKB: A Knowledge Base of Generic Statements.
CoRR, 2020

From 'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project.
AI Mag., 2020

Leap-Of-Thought: Teaching Pre-Trained Models to Systematically Reason Over Implicit Knowledge.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Multi-class Hierarchical Question Classification for Multiple Choice Science Exams.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Transformers as Soft Reasoners over Language.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

A Dataset for Tracking Entities in Open Domain Procedural Text.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

What-if I ask you to explain: Explaining the effects of perturbations in procedural text.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

UnifiedQA: Crossing Format Boundaries With a Single QA System.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Learning to Explain: Datasets and Models for Identifying Valid Reasoning Chains in Multihop Question-Answering.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

QASC: A Dataset for Question Answering via Sentence Composition.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Reports of the Workshops Held at the 2019 AAAI Conference on Artificial Intelligence.
AI Mag., 2019

Be Consistent! Improving Procedural Text Comprehension using Label Consistency.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Project Aristo: Towards Machines that Capture and Reason with Science Knowledge.
Proceedings of the 10th International Conference on Knowledge Capture, 2019

WIQA: A dataset for "What if..." reasoning over procedural text.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

QuaRTz: An Open-Domain Dataset of Qualitative Relationship Questions.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

What's Missing: A Knowledge Gap Guided Approach for Multi-hop Question Answering.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Everything Happens for a Reason: Discovering the Purpose of Actions in Procedural Text.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Exploiting Explicit Paths for Multi-hop Reading Comprehension.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Reasoning Over Paragraph Effects in Situations.
Proceedings of the 2nd Workshop on Machine Reading for Question Answering, 2019

QUAREL: A Dataset and Models for Answering Questions about Qualitative Relationships.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Declarative Question Answering over Knowledge Bases Containing Natural Language Text with Answer Set Programming.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
What Knowledge is Needed to Solve the RTE5 Textual Entailment Challenge?
CoRR, 2018

What Happened? Leveraging VerbNet to Predict the Effects of Actions in Procedural Text.
CoRR, 2018

Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.
CoRR, 2018

Story Generation and Aviation Incident Representation.
CoRR, 2018

Tracking State Changes in Procedural Text: a Challenge Dataset and Models for Process Paragraph Comprehension.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Knowledge Representation and Reasoning in Answering Science Questions: A Case Study for Food Web Questions.
Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Sixteenth International Conference, 2018

Reasoning about Actions and State Changes by Injecting Commonsense Knowledge.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Bridging Knowledge Gaps in Neural Entailment via Symbolic Models.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

SciTaiL: A Textual Entailment Dataset from Science Question Answering.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Domain-Targeted, High Precision Knowledge Extraction.
Trans. Assoc. Comput. Linguistics, 2017

Framing QA as Building and Ranking Intersentence Answer Justifications.
Comput. Linguistics, 2017

Moving beyond the Turing Test with the Allen AI Science Challenge.
Commun. ACM, 2017

Machine Reading as Model Construction.
Proceedings of Workshops and Tutorials of the 9th International Conference on Knowledge Capture (K-CAP2017), 2017

Tell Me Why: Using Question Answering as Distant Supervision for Answer Justification.
Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017), 2017

Answering Complex Questions Using Open Information Extraction.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
My Computer Is an Honor Student - but How Intelligent Is It? Standardized Tests as a Measure of AI.
AI Mag., 2016

Question Answering via Integer Programming over Semi-Structured Knowledge.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Creating Causal Embeddings for Question Answering with Minimal Supervision.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Cross Sentence Inference for Process Knowledge.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

What's in an Explanation? Characterizing Knowledge and Inference Requirements for Elementary Science Exams.
Proceedings of the COLING 2016, 2016

IKE - An Interactive Tool for Knowledge Extraction.
Proceedings of the 5th Workshop on Automated Knowledge Base Construction, 2016

Combining Retrieval, Statistics, and Inference to Answer Elementary Science Questions.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Higher-order Lexical Semantic Models for Non-factoid Answer Reranking.
Trans. Assoc. Comput. Linguistics, 2015

Markov Logic Networks for Natural Language Question Answering.
CoRR, 2015

Spinning Straw into Gold: Using Free Text to Train Monolingual Alignment Models for Non-factoid Question Answering.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Learning Knowledge Graphs for Question Answering through Conversational Dialog.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Answering Elementary Science Questions by Constructing Coherent Scenes using Background Knowledge.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Exploring Markov Logic Networks for Question Answering.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Elementary School Science and Math Tests as a Driver for AI: Take the Aristo Challenge!
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Modeling Biological Processes for Reading Comprehension.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Discourse Complements Lexical Semantics for Non-factoid Answer Reranking.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013
Inquire Biology: A Textbook that Answers Questions.
AI Mag., 2013

SemEval-2013 Task 7: The Joint Student Response Analysis and 8th Recognizing Textual Entailment Challenge.
Proceedings of the 7th International Workshop on Semantic Evaluation, 2013

Answer Extraction as Sequence Tagging with Tree Edit Distance.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

Terra Populus-Integrated Data for Population and Environmental Research.
Proceedings of the IASSIST 2013, 2013

Semi-Markov Phrase-Based Monolingual Alignment.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Learning Biological Processes with Global Constraints.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Extracting meronyms for a biology knowledge base using distant supervision.
Proceedings of the 2013 workshop on Automated knowledge base construction, 2013

A study of the knowledge base requirements for passing an elementary science test.
Proceedings of the 2013 workshop on Automated knowledge base construction, 2013

A Lightweight and High Performance Monolingual Word Aligner.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

Automatic Coupling of Answer Extraction and Information Retrieval.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

From Textual Entailment to Knowledgeable Machines.
Proceedings of the Joint Symposium on Semantic Processing. Textual Inference and Structures in Corpora, 2013

2012
Constructing a Textual KB from a Biology TextBook.
Proceedings of the Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction, 2012

An Entailment-Based Approach to the QA4MRE Challenge.
Proceedings of the CLEF 2012 Evaluation Labs and Workshop, 2012

Recognizing Textual Entailment, QA4MRE, and Machine Reading.
Proceedings of the CLEF 2012 Evaluation Labs and Workshop, 2012

2011
The Seventh PASCAL Recognizing Textual Entailment Challenge.
Proceedings of the Fourth Text Analysis Conference, 2011

The use of virtual fiducials in image-guided kidney surgery.
Proceedings of the Medical Imaging 2011: Visualization, 2011

Preliminary steps towards a knowledge factory process.
Proceedings of the 6th International Conference on Knowledge Capture (K-CAP 2011), 2011

<i>Inquire</i> for iPad: A Biology Textbook That Answers Questions.
Proceedings of the Artificial Intelligence in Education - 15th International Conference, 2011

2010
Project Halo Update - Progress Toward Digital Aristotle.
AI Mag., 2010

BLUE-Lite: a Knowledge-Based Lexical Entailment System for RTE6.
Proceedings of the Third Text Analysis Conference, 2010

The Sixth PASCAL Recognizing Textual Entailment Challenge.
Proceedings of the Third Text Analysis Conference, 2010

IPUMS International: Expanding Support for International Comparison and Data Access.
Proceedings of the IASSIST 2010, 2010

Exploiting Paraphrases and Deferred Sense Commitment to Interpret Questions more Reliably.
Proceedings of the COLING 2010, 2010

2009
An Inference-Based Approach to Recognizing Entailment.
Proceedings of the Second Text Analysis Conference, 2009

Large-scale extraction and use of knowledge from text.
Proceedings of the 5th International Conference on Knowledge Capture (K-CAP 2009), 2009

Naturalness vs. Predictability: A Key Debate in Controlled Languages.
Proceedings of the Pre-Proceedings of the Workshop on Controlled Natural Language (CNL 2009), 2009

A Study of Machine Reading from Multiple Texts.
Proceedings of the Learning by Reading and Learning to Read, 2009

2008
Recognizing Textual Entailment with Logical Inference.
Proceedings of the First Text Analysis Conference, 2008

Knowledge Patterns.
Proceedings of the Knowledge Engineering: Practice and Patterns, 2008

Boeing's NLP System and the Challenges of Semantic Representation.
Proceedings of the Semantics in Text Processing. STEP 2008 Conference Proceedings, 2008

2007
Project Hindsight: Exploring Necessity and Possibility in Cycles of Structuration and Co-Evolution.
Technol. Anal. Strateg. Manag., 2007

Capturing and answering questions posed to a knowledge-based system.
Proceedings of the 4th International Conference on Knowledge Capture (K-CAP 2007), 2007

Reading to Learn: An Investigation into Language Understanding.
Proceedings of the Machine Reading, 2007

AURA: Enabling Subject Matter Experts to Construct Declarative Knowledge Bases from Science Textbooks.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

The Logicism of Frege, Dedekind, and Russell.
Proceedings of the Oxford Handbook of Philosophy of Mathematics and Logic., 2007

2006
From WordNet to a Knowlege Base.
Proceedings of the Formalizing and Compiling Background Knowledge and Its Applications to Knowledge Representation and Question Answering, 2006

2005
Acquiring and Using World Knowledge Using a Restricted Subset of English.
Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, 2005

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

A Question-Answering System for AP Chemistry: Assessing KR&R Technologies.
Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Ninth International Conference (KR2004), 2004

Graph-Based Acquisition of Expressive Knowledge.
Proceedings of the Engineering Knowledge in the Age of the Semantic Web, 2004

Knowledge Patterns.
Proceedings of the Handbook on Ontologies, 2004

2003
Network QoS for Grid Systems.
Int. J. High Perform. Comput. Appl., 2003


Knowledge-Driven Text Interpretation and Question-Answering: Some Current Activities at Boeing Math and Computing Technology.
Proceedings of the New Directions in Question Answering, 2003

Enabling domain experts to convey questions to a machine: a modified, template-based approach.
Proceedings of the 2nd International Conference on Knowledge Capture (K-CAP 2003), 2003

A Knowledge Acquisition Tool for Course of Action Analysis.
Proceedings of the Fifteenth Conference on Innovative Applications of Artificial Intelligence, 2003

2002
A Web-Based Ontology Browsing and Editing System.
Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, July 28, 2002

2001
Representing roles and purpose.
Proceedings of the First International Conference on Knowledge Capture (K-CAP 2001), 2001

Knowledge entry as the graphical assembly of components.
Proceedings of the First International Conference on Knowledge Capture (K-CAP 2001), 2001

A library of generic concepts for composing knowledge bases.
Proceedings of the First International Conference on Knowledge Capture (K-CAP 2001), 2001

2000
Knowledge Patterns.
Proceedings of the KR 2000, 2000

Exploiting a Thesaurus-Based Semantic Net for Knowledge-Based Search.
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000

1997
Improving Image Classification by Combining Statistical, Case-Based and Model Based Prediction Methods.
Fundam. Informaticae, 1997

Using Access paths to Guide Inference with Conceptual Graphs.
Proceedings of the Conceptual Structures: Fulfilling Peirce's Dream, 1997

Building Concept Representations from Reusable Components.
Proceedings of the Fourteenth National Conference on Artificial Intelligence and Ninth Innovative Applications of Artificial Intelligence Conference, 1997

Developing business applications with OpenStep.
Springer, ISBN: 978-0-387-94852-2, 1997

1993
Using Qualitative Models to Guide Inductive Learning.
Proceedings of the Machine Learning, 1993

Learning Domain Theories using Abstract Beckground Knowledge.
Proceedings of the Machine Learning: ECML-93, 1993

1992
Lazy Partial Evaluation: An Integration of Explanation-Based Generalization and Partial Evaluation.
Proceedings of the Ninth International Workshop on Machine Learning (ML 1992), 1992

1991
A model of argumentation and its application in a cooperative expert system.
PhD thesis, 1991

Panel: Applications of Machine Learning: Notes from the Panel Members.
Proceedings of the Machine Learning, 1991

Rule Induction with CN2: Some Recent Improvements.
Proceedings of the Machine Learning, 1991

1989
The CN2 Induction Algorithm.
Mach. Learn., 1989

1988
Representing Arguments as Background Knowledge for Constraining Gereralisation.
Proceedings of the Third European Working Session on Learning, 1988

1987
The Value of Information.
J. Inf. Technol., 1987

Induction in Noisy Domains.
Proceedings of the Progress in Machine Learning, 1987


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