Rolf Schwitter


2022

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Specifying Optimisation Problems for Declarative Programs in Precise Natural Language
Rolf Schwitter
Proceedings of the 20th Annual Workshop of the Australasian Language Technology Association

2021

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The Grammar of PENG ASP Explained
Rolf Schwitter
Proceedings of the Seventh International Workshop on Controlled Natural Language (CNL 2020/21)

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Human-understandable and Machine-processable Explanations for Sub-symbolic Predictions
Abdus Salam | Rolf Schwitter | Mehmet Orgun
Proceedings of the Seventh International Workshop on Controlled Natural Language (CNL 2020/21)

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Generating and Modifying Natural Language Explanations
Abdus Salam | Rolf Schwitter | Mehmet Orgun
Proceedings of the 19th Annual Workshop of the Australasian Language Technology Association

HESIP is a hybrid explanation system for image predictions that combines sub-symbolic and symbolic machine learning techniques to explain the predictions of image classification tasks. The sub-symbolic component makes a prediction for an image and the symbolic component learns probabilistic symbolic rules in order to explain that prediction. In HESIP, the explanations are generated in controlled natural language from the learned probabilistic rules using a bi-directional logic grammar. In this paper, we present an explanation modification method where a human-in-the-loop can modify an incorrect explanation generated by the HESIP system and afterwards, the modified explanation is used by HESIP to learn a better explanation.

2019

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CNL-ER: A Controlled Natural Language for Specifying and Verbalising Entity Relationship Models
Bayzid Ashik Hossain | Gayathri Rajan | Rolf Schwitter
Proceedings of the 17th Annual Workshop of the Australasian Language Technology Association

The first step towards designing an information system is conceptual modelling where domain experts and knowledge engineers identify the necessary information together to build an information system. Entity relationship modelling is one of the most popular conceptual modelling techniques that represents an information system in terms of entities, attributes and relationships. Entity relationship models are constructed graphically but are often difficult to understand by domain experts. To overcome this problem, we suggest to verbalise these models in a controlled natural language. In this paper, we present CNL-ER, a controlled natural language for specifying and verbalising entity relationship (ER) models that not only solves the verbalisation problem for these models but also provides the benefits of automatic verification and validation, and semantic round-tripping which makes the communication process transparent between the domain experts and the knowledge engineers.

2018

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Specifying Conceptual Models Using Restricted Natural Language
Bayzid Ashik Hossain | Rolf Schwitter
Proceedings of the Australasian Language Technology Association Workshop 2018

The key activity to design an information system is conceptual modelling which brings out and describes the general knowledge that is required to build a system. In this paper we propose a novel approach to conceptual modelling where the domain experts will be able to specify and construct a model using a restricted form of natural language. A restricted natural language is a subset of a natural language that has well-defined computational properties and therefore can be translated unambiguously into a formal notation. We will argue that a restricted natural language is suitable for writing precise and consistent specifications that lead to executable conceptual models. Using a restricted natural language will allow the domain experts to describe a scenario in the terminology of the application domain without the need to formally encode this scenario. The resulting textual specification can then be automatically translated into the language of the desired conceptual modelling framework.

2013

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Working with Defaults in a Controlled Natural Language
Rolf Schwitter
Proceedings of the Australasian Language Technology Association Workshop 2013 (ALTA 2013)

2010

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Controlled Natural Languages for Knowledge Representation
Rolf Schwitter
Coling 2010: Posters

2009

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Proceedings of the Australasian Language Technology Association Workshop 2009
Luiz Augusto Pizzato | Rolf Schwitter
Proceedings of the Australasian Language Technology Association Workshop 2009

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An Update on PENG Light
Colin White | Rolf Schwitter
Proceedings of the Australasian Language Technology Association Workshop 2009

2008

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Writing Support for Controlled Natural Languages
Tobias Kuhn | Rolf Schwitter
Proceedings of the Australasian Language Technology Association Workshop 2008

2006

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Writing RSS Feeds in a Machine-Processable Controlled Natural Language
Rolf Schwitter | Marc Tilbrook
Proceedings of the 5th International Workshop on Controlled Language Applications

2004

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Controlled Natural Language meets the SemanticWeb
Rolf Schwitter | Marc Tilbrook
Proceedings of the Australasian Language Technology Workshop 2004

2003

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Incremental chart parsing with predictive hints
Rolf Schwitter
Proceedings of the Australasian Language Technology Workshop 2003

2002

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Evangelising Language Technology: A Practically-Focussed Undergraduate Program
Robert Dale | Diego Mollá Aliod | Rolf Schwitter
Proceedings of the ACL-02 Workshop on Effective Tools and Methodologies for Teaching Natural Language Processing and Computational Linguistics

2000

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Answer Extraction Towards better Evaluations of NLP Systems
Rolf Schwitter | Diego Molla | Rachel Fournier | Michael Hess
ANLP-NAACL 2000 Workshop: Reading Comprehension Tests as Evaluation for Computer-Based Language Understanding Systems