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Found 6 papers, 0 papers with code
Lutma: a Frame-Making Tool for Collaborative FrameNet Development
This paper presents Lutma, a collaborative, semi-constrained, tutorial-based tool for contributing frames and lexical units to the Global FrameNet initiative.
The Case for Perspective in Multimodal Datasets
This paper argues in favor of the adoption of annotation practices for multimodal datasets that recognize and represent the inherently perspectivized nature of multimodal communication.
Domain Adaptation in Neural Machine Translation using a Qualia-Enriched FrameNet
In this paper we present Scylla, a methodology for domain adaptation of Neural Machine Translation (NMT) systems that make use of a multilingual FrameNet enriched with qualia relations as an external knowledge base.
Frame-Based Annotation of Multimodal Corpora: Tracking (A)Synchronies in Meaning Construction
Multimodal aspects of human communication are key in several applications of Natural Language Processing, such as Machine Translation and Natural Language Generation.
Designing a Frame-Semantic Machine Translation Evaluation Metric
We propose a metric for machine translation evaluation based on frame semantics which does not require the use of reference translations or human corrections, but is aimed at comparing original and translated output directly.
