Mark Johnson

Mark Johnson

Macquarie University

H-index: 67

Oceania-Australia

About Mark Johnson

Mark Johnson, With an exceptional h-index of 67 and a recent h-index of 37 (since 2020), a distinguished researcher at Macquarie University, specializes in the field of Computational Linguistics, Natural Language Processing, Statistical Models, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Automatic out of scope transition for chatbot

Addressing catastrophic forgetting and over-generalization while training a natural language to a meaning representation language system

Generating an electronic document with a consistent text ordering

Conversational document question answering

Reduced training intent recognition techniques

Detecting out-of-domain, out-of-scope, and confusion-span (oocs) input for a natural language to logical form model

Using a generative adversarial network to train a semantic parser of a dialog system

Distance-based logit value for natural language processing

Mark Johnson Information

University

Position

Professor of Language Sciences Department of Computing

Citations(all)

25008

Citations(since 2020)

12512

Cited By

17167

hIndex(all)

67

hIndex(since 2020)

37

i10Index(all)

189

i10Index(since 2020)

102

Email

University Profile Page

Macquarie University

Google Scholar

View Google Scholar Profile

Mark Johnson Skills & Research Interests

Computational Linguistics

Natural Language Processing

Statistical Models

Machine Learning

Top articles of Mark Johnson

Title

Journal

Author(s)

Publication Date

Automatic out of scope transition for chatbot

2024/3/5

Addressing catastrophic forgetting and over-generalization while training a natural language to a meaning representation language system

2024/2/22

Generating an electronic document with a consistent text ordering

2024/2/22

Conversational document question answering

2024/4/18

Reduced training intent recognition techniques

2024/2/27

Detecting out-of-domain, out-of-scope, and confusion-span (oocs) input for a natural language to logical form model

2024/2/22

Using a generative adversarial network to train a semantic parser of a dialog system

2024/2/20

Distance-based logit value for natural language processing

2022/6/2

System and method of selective fine-tuning for custom training of a natural language to logical form model

2024/2/22

Techniques for using named entity recognition to resolve entity expression in transforming natural language to a meaning representation language

2024/2/22

Methods and systems for augmentation and feature cache

2024/1/25

Objective function optimization in target based hyperparameter tuning

2024/3/21

Output interpretation for a meaning representation language system

2024/4/25

Entity level data augmentation in chatbots for robust named entity recognition

2024/1/11

Calibrating confidence scores of a machine learning model trained as a natural language interface

2024/2/22

Context tag integration with named entity recognition models

2024/3/21

Techniques for converting a natural language utterance to an intermediate database query representation

2024/2/22

Data augmentation and batch balancing for training multi-lingual model

2024/4/25

Continuous hyper-parameter tuning with automatic domain weight adjustment based on periodic performance checkpoints

2024/3/14

Techniques for augmenting training data for aggregation and sorting database operations in a natural language to database query system

2024/2/22

See List of Professors in Mark Johnson University(Macquarie University)

Co-Authors

H-index: 110
Thomas L. Griffiths

Thomas L. Griffiths

Princeton University

H-index: 51
Stephen Gould

Stephen Gould

Australian National University

H-index: 33
Mark Dras

Mark Dras

Macquarie University

H-index: 33
Stefan Riezler

Stefan Riezler

Ruprecht-Karls-Universität Heidelberg

H-index: 23
Lan Du

Lan Du

Monash University

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