Paola Merlo and Gabriele Musillo. 2008. Semantic Parsing for High-Precision Semantic Role Labelling. In CoNLL 2008: Proceedings of the Twelfth Conference on ...
Adjuncts of the predicates are annotated with general abstract semantic role labels that are inherited from function labels, such as AM-LOC, AM-TMP, AM-ADV.
In this paper, we report experiments that explore learning of syntactic and semantic representations. First, we extend a state-of-the-art statistical parser ...
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Collins, Michael John. 1999. Head-driven statistical models for natural language parsing. Ph.D. thesis, University of Pennsylvania.
Mar 26, 2024 · Semantic Role Labeling (SRL) is a process in natural language processing (NLP) that assigns labels to words or phrases in a sentence to indicate their semantic ...
Semantic Parsing Applications in Role Labeling | Restackio
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Oct 23, 2024 · Explore the applications of semantic role labeling in enhancing semantic parsing techniques for better understanding of natural language.
... Semantic parsing for high-precision semantic role labelling. Paola Merlo. ,. Gabriele Musillo. Show full list: 2 authors. Publication type: Proceedings Article.
Duration: 5:23
Posted: Dec 28, 2020
Posted: Dec 28, 2020
Missing: High- Precision
Semantic role labelling, commonly referred to as shallow semantic parsing, is an intermediate approach used to aid in semantic analysis. Formally, the task is ...
Oct 21, 2020 · We present a conversion scheme that packs SRL annotations into dependency tree representations through joint labels that permit highly accurate recovery.