SMM4H 2021 accepted at NAACL (scheduled in Mexico City in June) https://2021.naacl.org/. The ProfNER Shared Task encourages its participants to detect occupations and employment situations in Spanish tweets related to the COVID-19 situation. These guidelines describe the process followed by the clinical and linguist experts who manually annotated the ProfNER corpus. An English translation of the guidelines is here Please, cite: Miranda-Escalada, A., Farré-Maduell, E., Lima-López, S., Gascó, L., Briva-Iglesias, V., Agüero-Torales, M., & Krallinger, M. (2021, June). The profner shared task on automatic recognition of occupation mentions in social media: systems, evaluation, guidelines, embeddings and corpora. In Proceedings of the Si...
The MEDDOPROF Shared Task tackles the detection of occupations and employment statuses in clinical c...
Available online 30 January 2023The paper presents new annotated corpora for performing stance detec...
This data accompanies the following publication: Title: Data and systems for medication-related tex...
SMM4H 2021 accepted at NAACL (scheduled in Mexico City in June) https://2021.naacl.org/. The ProfNE...
Gold Standard annotations for SMM4H-Spanish shared task and unannotated test and background files. S...
Gazetteer of occupations extracted from a set of terminologies (DeCS, ESCO, SnomedCT and WordNet). I...
Please, cite us: Luis Gasco Sánchez, Darryl Estrada Zavala, Eulàlia Farré-Maduell, Salvador Lima-Ló...
The MEDDOPROF Shared Task tackles the detection of occupations and employment statuses in clinical c...
Intro 300-dimensional FastText embeddings generated from 140 million tweets in Spanish. All tweets ...
Gold Standard annotations for SocialDisNER (SMM4H 2022 – Task 10) shared task. Introduction: The So...
The MEDDOPROF Shared Task tackles the detection of occupations and employment statuses in clinical c...
The MEDDOPROF Shared Task tackles the detection of occupations and employment statuses in clinical c...
Entre las características sociodemográficas de los pacientes, las ocupaciones juegan un papel fundam...
The SocialDisNER corpus of the SMM4H 2022 – Task 10 track was manually annotated by medical experts ...
Objective: To identify the profile of vacancies for nurses disseminated through social media during ...
The MEDDOPROF Shared Task tackles the detection of occupations and employment statuses in clinical c...
Available online 30 January 2023The paper presents new annotated corpora for performing stance detec...
This data accompanies the following publication: Title: Data and systems for medication-related tex...
SMM4H 2021 accepted at NAACL (scheduled in Mexico City in June) https://2021.naacl.org/. The ProfNE...
Gold Standard annotations for SMM4H-Spanish shared task and unannotated test and background files. S...
Gazetteer of occupations extracted from a set of terminologies (DeCS, ESCO, SnomedCT and WordNet). I...
Please, cite us: Luis Gasco Sánchez, Darryl Estrada Zavala, Eulàlia Farré-Maduell, Salvador Lima-Ló...
The MEDDOPROF Shared Task tackles the detection of occupations and employment statuses in clinical c...
Intro 300-dimensional FastText embeddings generated from 140 million tweets in Spanish. All tweets ...
Gold Standard annotations for SocialDisNER (SMM4H 2022 – Task 10) shared task. Introduction: The So...
The MEDDOPROF Shared Task tackles the detection of occupations and employment statuses in clinical c...
The MEDDOPROF Shared Task tackles the detection of occupations and employment statuses in clinical c...
Entre las características sociodemográficas de los pacientes, las ocupaciones juegan un papel fundam...
The SocialDisNER corpus of the SMM4H 2022 – Task 10 track was manually annotated by medical experts ...
Objective: To identify the profile of vacancies for nurses disseminated through social media during ...
The MEDDOPROF Shared Task tackles the detection of occupations and employment statuses in clinical c...
Available online 30 January 2023The paper presents new annotated corpora for performing stance detec...
This data accompanies the following publication: Title: Data and systems for medication-related tex...