Search Results for author: Lorenzo Bocchi

Found 2 papers, 0 papers with code

Erase and Rewind: Manual Correction of NLP Output through a Web Interface

no code implementations ACL 2021 Valentino Frasnelli, Lorenzo Bocchi, Alessio Palmero Aprosio

In this paper, we present Tintful, an NLP annotation software that can be used both to manually annotate texts and to fix mistakes in NLP pipelines, such as Stanford CoreNLP.

EasyTurk: A User-Friendly Interface for High-Quality Linguistic Annotation with Amazon Mechanical Turk

no code implementations EACL 2021 Lorenzo Bocchi, Valentino Frasnelli, Alessio Palmero Aprosio

Amazon Mechanical Turk (AMT) has recently become one of the most popular crowd-sourcing platforms, allowing researchers from all over the world to create linguistic datasets quickly and at a relatively low cost.

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