Semeval-2022 task 11: Multilingual complex named entity recognition (multiconer)
We present the findings of SemEval-2022 Task 11 on Multilingual Complex Named Entity
Recognition MULTICONER. Divided into 13 tracks, the task focused on methods to identify …
Recognition MULTICONER. Divided into 13 tracks, the task focused on methods to identify …
Semeval-2022 task 6: isarcasmeval, intended sarcasm detection in english and arabic
Abstract iSarcasmEval is the first shared task to target intended sarcasm detection: the data
for this task was provided and labelled by the authors of the texts themselves. Such an …
for this task was provided and labelled by the authors of the texts themselves. Such an …
Bigbio: A framework for data-centric biomedical natural language processing
Training and evaluating language models increasingly requires the construction of meta-
datasets--diverse collections of curated data with clear provenance. Natural language …
datasets--diverse collections of curated data with clear provenance. Natural language …
Why don't you do it right? analysing annotators' disagreement in subjective tasks
Annotators' disagreement in linguistic data has been recently the focus of multiple initiatives
aimed at raising awareness on issues related to 'majority voting'when aggregating diverging …
aimed at raising awareness on issues related to 'majority voting'when aggregating diverging …
SemEval-2023 task 5: Clickbait spoiling
In this overview paper, we report on the second PAN~ Clickbait Challenge hosted as Task~
5 at SemEval~ 2023. The challenge's focus is to better support social media users by …
5 at SemEval~ 2023. The challenge's focus is to better support social media users by …
Findings of the VarDial evaluation campaign 2023
This report presents the results of the shared tasks organized as part of the VarDial
Evaluation Campaign 2023. The campaign is part of the tenth workshop on Natural …
Evaluation Campaign 2023. The campaign is part of the tenth workshop on Natural …
SkillSpan: Hard and soft skill extraction from English job postings
Skill Extraction (SE) is an important and widely-studied task useful to gain insights into labor
market dynamics. However, there is a lacuna of datasets and annotation guidelines; …
market dynamics. However, there is a lacuna of datasets and annotation guidelines; …
[PDF][PDF] MultiLexNorm: A shared task on multilingual lexical normalization
Lexical normalization is the task of transforming an utterance into its standardized form. This
task is beneficial for downstream analysis, as it provides a way to harmonize (often …
task is beneficial for downstream analysis, as it provides a way to harmonize (often …
SemEval-2023 task 8: Causal medical claim identification and related PIO frame extraction from social media posts
Identification of medical claims from user-generated text data is an onerous but essential
step for various tasks including content moderation, and hypothesis generation. SemEval …
step for various tasks including content moderation, and hypothesis generation. SemEval …
End-to-end argument mining with cross-corpora multi-task learning
G Morio, H Ozaki, T Morishita, K Yanai - Transactions of the …, 2022 - direct.mit.edu
Mining an argument structure from text is an important step for tasks such as argument
search and summarization. While studies on argument (ation) mining have proposed …
search and summarization. While studies on argument (ation) mining have proposed …