Lawrence Cavedon

RMIT University — Australia

Computer Science · Physical Sciences

31h-index3.7kcitations164works0.22yr avg
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Research Topics

Speech and dialogue systems(43), Topic Modeling(37), Biomedical Text Mining and Ontologies(31), Natural Language Processing Techniques(28), Multi-Agent Systems and Negotiation(27)

Publications164 total

Assessing the Impact of the Quality of Textual Data on Feature Representation and Machine Learning Models: Quantitative Study Using Large Language Models
Journal of Medical Internet Research·2025· 1 citedOpen Access
Automated Detection of Invasive Fungal Infections in Clinical Reports Using Medical Language Models
Studies in health technology and informatics·2025Open Access
Assessing the Impact of the Quality of Textual Data on Feature Representation and Machine Learning Models: Quantitative Study Using Large Language Models (Preprint)
2025
Assessing the Impact of the Quality of Textual Data on Feature Representation and Machine Learning Models
arXiv (Cornell University)·2025Open Access
Evaluating Numeracy of Language Models as a Natural Language Inference Task
2025Open Access
Meta-evaluation of Dynamic Search: How Do Metrics Capture Topical Relevance, Diversity and User Effort?
Figshare·2024Open Access
Co‐designing an online treatment decision aid for men with low‐risk prostate cancer: Navigate
BJUI Compass·2023· 4 citedOpen Access
Development and validation of retrospective electronic frailty index using operational data of aged care homes
BMC Geriatrics·2022· 9 citedOpen Access
ITTC @ TREC 2021 Clinical Trials Track
arXiv (Cornell University)·2022· 4 citedOpen Access
The Secondary Use of Electronic Health Records for Data Mining: Data Characteristics and Challenges
ACM Computing Surveys·2022· 116 citedOpen Access
Crowdsourcing Backstories for Complex Task-Based Search
Australasian Document Computing Symposium·2021· 2 cited
Component-based Analysis of Dynamic Search Performance
ACM Transactions on Information Systems·2021· 1 cited
Accessing Media Via an Audio-only Communication Channel: A Log Analysis
2021· 3 citedOpen Access
Performance degrades less under increased workload with the addition of speech control in a dynamic environment
Applied Ergonomics·2021· 4 cited
ChEMU 2020: Natural Language Processing Methods Are Effective for Information Extraction From Chemical Patents
Frontiers in Research Metrics and Analytics·2021· 28 citedOpen Access
Correction to: Navigate: a study protocol for a randomised controlled trial of an online treatment decision aid for men with low-risk prostate cancer and their partners
Trials·2021Open Access
Navigate: a study protocol for a randomised controlled trial of an online treatment decision aid for men with low-risk prostate cancer and their partners
Trials·2021· 13 citedOpen Access
ChEMU 2021: Reaction Reference Resolution and Anaphora Resolution in Chemical Patents
Lecture notes in computer science·2021· 4 cited
Reaction Reference Resolution and Anaphora Resolution i n Chemical Patents
2021
Natural Language Processing Methods are Effective for Information Extraction from Chemical Patents. Under review at Frontiers i n Research Metrics and Analytics, section Text-mining and Literature-based Discovery
2021
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Frequent Co-authors

David Martínez(8), Mark Sanderson(7), Haytham M. Fayek(5), Johanne R. Trippas(5), Damiano Spina(5), Karin Verspoor(5), Sarvnaz Karimi(5), Margaret Lech(4), Justin Zobel(4), Su Nam Kim(3), Hideo Joho(3), Timothy Baldwin(3), David Newman(3), Nicola Stokes(3), Timothy Baldwin(3), Frank Dignum(2), Liz Sonenberg(2), Falk Scholer(2), Avishek Anand(2), Benno Stein(2)