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Found 5 papers, 4 papers with code
XL-AMR: Enabling Cross-Lingual AMR Parsing with Transfer Learning Techniques
Abstract Meaning Representation (AMR) is a popular formalism of natural language that represents the meaning of a sentence as a semantic graph.
SPRING Goes Online: End-to-End AMR Parsing and Generation
In this paper we present SPRING Online Services, a Web interface and RESTful APIs for our state-of-the-art AMR parsing and generation system, SPRING (Symmetric PaRsIng aNd Generation).
Evaluating Multilingual Sentence Representation Models in a Real Case Scenario
Through our evaluation, we are able to confirm that the infamous Protocols are actually a plagiarized text but, as we will show, we encounter several problems connected with the convoluted nature of the task, that is very different from the one reported in standard benchmarks of paraphrase detection and sentence similarity.
IR like a SIR: Sense-enhanced Information Retrieval for Multiple Languages
With the advent of contextualized embeddings, attention towards neural ranking approaches for Information Retrieval increased considerably.
One SPRING to Rule Them Both: Symmetric AMR Semantic Parsing and Generation without a Complex Pipeline
In Text-to-AMR parsing, current state-of-the-art semantic parsers use cumbersome pipelines integrating several different modules or components, and exploit graph recategorization, i. e., a set of content-specific heuristics that are developed on the basis of the training set.
Ranked #1 on
AMR-to-Text Generation
on The Little Prince
(BLEURT metric)
