The Computational Learning of Construction Grammars: State of the Art and Prospective Roadmap
This paper documents and reviews the state of the art concerning computational models of construction grammar learning. It brings together prior work on the computational learning of form-meaning pairings, which has so far been studied in several distinct areas of research. The goal of this paper is threefold. First of all, it aims to synthesise the variety of methodologies that have been proposed to date and the results that have been obtained. Second, it aims to identify those parts of the challenge that have been successfully tackled and reveal those that require further research. Finally, it aims to provide a roadmap which can help to boost and streamline future research efforts on the computational learning of large-scale, usage-based construction grammars.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
A Method for Learning Large-Scale Computational Construction Grammars from Semantically Annotated Corpora
We present a method for learning large-scale, broad-coverage construction grammars from corpora of language use. Starting from utterances annotated with constituency structure and semantic frames, the method facilitates …
Exposure and Emergence in Usage-Based Grammar: Computational Experiments in 35 Languages
This paper uses computational experiments to explore the role of exposure in the emergence of construction grammars. While usage-based grammars are hypothesized to depend on a learner's exposure to actual language use, t…
Evaluation Strategies for Computational Construction Grammars
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 o…
Semantic ParsingProspective Dynamic 3D MRI Reconstruction via Latent-Space Motion Tracking from Single Measurement
Prospective reconstruction is crucial in many clinical applications such as MRI-guided radiotherapy, which demands accurate image reconstruction and fast motion estimation from currently acquired measurements. However, p…
Image ReconstructionMRI ReconstructionLearned Construction Grammars Converge Across Registers Given Increased Exposure
This paper measures the impact of increased exposure on whether learned construction grammars converge onto shared representations when trained on data from different registers. Register influences the frequency of const…