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Found 13 papers, 1 papers with code
FrameNet and Typology
FrameNet and the Multilingual FrameNet project have produced multilingual semantic annotations of parallel texts that yield extremely fine-grained typological insights.
Comparing Distributional and Curated Approaches for Cross-lingual Frame Alignment
In addition, we begin the workshop with a small comparison of cross-lingual techniques for frame semantic alignment for one language pair (Spanish and English).
Adverbs, Surprisingly
This paper begins with the premise that adverbs are neglected in computational linguistics.
Sister Help: Data Augmentation for Frame-Semantic Role Labeling
While FrameNet is widely regarded as a rich resource of semantics in natural language processing, a major criticism concerns its lack of coverage and the relative paucity of its labeled data compared to other commonly used lexical resources such as PropBank and VerbNet.
Language (Re)modelling: Towards Embodied Language Understanding
While natural language understanding (NLU) is advancing rapidly, today's technology differs from human-like language understanding in fundamental ways, notably in its inferior efficiency, interpretability, and generalization.
Meaning Representation of Null Instantiated Semantic Roles in FrameNet
Humans have the unique ability to infer information about participants in a scene, even if they are not mentioned in a text about that scene.
SemEval-2019 Task 2: Unsupervised Lexical Frame Induction
This paper presents Unsupervised Lexical Frame Induction, Task 2 of the International Workshop on Semantic Evaluation in 2019.
Representing Spatial Relations in FrameNet
While humans use natural language to express spatial relations between and across entities in the world with great facility, natural language systems have a facility that depends on that human facility.
