Search Results for author: Rexhina Blloshmi

Found 5 papers, 4 papers with code

Evaluating Multilingual Sentence Representation Models in a Real Case Scenario

1 code implementation LREC 2022 Rocco Tripodi, Rexhina Blloshmi, Simon Levis Sullam

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.

Paraphrase Identification Sentence Similarity

SPRING Goes Online: End-to-End AMR Parsing and Generation

no code implementations EMNLP (ACL) 2021 Rexhina Blloshmi, Michele Bevilacqua, Edoardo Fabiano, Valentina Caruso, Roberto Navigli

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).

AMR Parsing

XL-AMR: Enabling Cross-Lingual AMR Parsing with Transfer Learning Techniques

1 code implementation EMNLP 2020 Rexhina Blloshmi, Rocco Tripodi, Roberto Navigli

Abstract Meaning Representation (AMR) is a popular formalism of natural language that represents the meaning of a sentence as a semantic graph.

AMR Parsing Transfer Learning

One SPRING to Rule Them Both: Symmetric AMR Semantic Parsing and Generation without a Complex Pipeline

1 code implementation Proceedings of the AAAI Conference on Artificial Intelligence 2021 Michele Bevilacqua, Rexhina Blloshmi, Roberto Navigli

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.

AMR Parsing AMR-to-Text Generation +1

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