Katrien Beuls


2022

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Language Acquisition through Intention Reading and Pattern Finding
Jens Nevens | Jonas Doumen | Paul Van Eecke | Katrien Beuls
Proceedings of the 29th International Conference on Computational Linguistics

One of AI’s grand challenges consists in the development of autonomous agents with communication systems offering the robustness, flexibility and adaptivity found in human languages. While the processes through which children acquire language are by now relatively well understood, a faithful computational operationalisation of the underlying mechanisms is still lacking. Two main cognitive processes are involved in child language acquisition. First, children need to reconstruct the intended meaning of observed utterances, a process called intention reading. Then, they can gradually abstract away from concrete utterances in a process called pattern finding and acquire productive schemata that generalise over form and meaning. In this paper, we introduce a mechanistic model of the intention reading process and its integration with pattern finding capacities. Concretely, we present an agent-based simulation in which an agent learns a grammar that enables them to ask and answer questions about a scene. This involves the reconstruction of queries that correspond to observed questions based on the answer and scene alone, and the generalization of linguistic schemata based on these reconstructed question-query pairs. The result is a productive grammar which can be used to map between natural language questions and queries without ever having observed the queries.

2016

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Evaluation Strategies for Computational Construction Grammars
Tânia Marques | Katrien Beuls
Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers

Despite the growing number of Computational Construction Grammar implementations, the field is still lacking evaluation methods to compare grammar fragments across different platforms. Moreover, the hand-crafted nature of most grammars requires profiling tools to understand the complex interactions between constructions of different types. This paper presents a number of evaluation measures, partially based on existing measures in the field of semantic parsing, that are especially relevant for reversible grammar formalisms. The measures are tested on a grammar fragment for European Portuguese clitic placement that is currently under development.

2013

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Fluid Construction Grammar for Historical and Evolutionary Linguistics
Pieter Wellens | Remi van Trijp | Katrien Beuls | Luc Steels
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics: System Demonstrations

2012

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Fluid Construction Grammar: The New Kid on the Block
Remi van Trijp | Luc Steels | Katrien Beuls | Pieter Wellens
Proceedings of the Demonstrations at the 13th Conference of the European Chapter of the Association for Computational Linguistics