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Found 15 papers, 2 papers with code
PLOD: An Abbreviation Detection Dataset for Scientific Documents
This paper presents PLOD, a large-scale dataset for abbreviation detection and extraction that contains 160k+ segments automatically annotated with abbreviations and their long forms.
Ranked #1 on
AbbreviationDetection
on PLOD-unfiltered
An Ensemble Approach to Acronym Extraction using Transformers
Acronyms are abbreviated units of a phrase constructed by using initial components of the phrase in a text.
Challenges in Translation of Emotions in Multilingual User-Generated Content: Twitter as a Case Study
In this research, we assess whether automatic translation tools can be a successful real-life utility in transferring emotion in user-generated multilingual data such as tweets.
A Lexical Simplification Tool for Promoting Health Literacy
This paper presents MedSimples, an authoring tool that combines Natural Language Processing, Corpus Linguistics and Terminology to help writers to convert health-related information into a more accessible version for people with low literacy skills.
Investigating Productive and Receptive Knowledge: A Profile for Second Language Learning
We also attempted to automatically attribute a score to texts produced by learners, and the correlation results were encouraging, but there is still a good amount of room for improvement in this task.
Using NLP for Enhancing Second Language Acquisition
This study presents SMILLE, a system that draws on the Noticing Hypothesis and on input enhancements, addressing the lack of salience of grammatical infor mation in online documents chosen by a given user.
VerbLexPor: a lexical resource with semantic roles for Portuguese
The sentences from both corpora were annotated separately, so that it is possible to access sentences either from the Cardiology or from the newspaper corpus.
B2SG: a TOEFL-like Task for Portuguese
They can be used as the basis for evaluating the accuracy of the similarity relations on distributional thesauri by comparing the proximity of the target word with the related and unrelated options and observing if the related word has the highest similarity value among them.
