3 citations · 3 across the 7 of their papers we have counts for
8 papers · 1 filter
MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition
David Ifeoluwa Adelani, Graham Neubig, Sebastian Ruder +42
African languages are spoken by over a billion people, but are underrepresented in NLP research and development. The challenges impeding progress include the limited availability o…
Detecting Unassimilated Borrowings in Spanish: An Annotated Corpus and Approaches to Modeling
Elena Álvarez-Mellado, Constantine Lignos
This work presents a new resource for borrowing identification and analyzes the performance and errors of several models on this task. We introduce a new annotated corpus of Spanis…
Toward More Meaningful Resources for Lower-resourced Languages
Constantine Lignos, Nolan Holley, Chester Palen-Michel +1
In this position paper, we describe our perspective on how meaningful resources for lower-resourced languages should be developed in connection with the speakers of those languages…
Overview of ADoBo 2021: Automatic Detection of Unassimilated Borrowings in the Spanish Press
Elena Álvarez Mellado, Luis Espinosa Anke, Julio Gonzalo Arroyo +2
This paper summarizes the main findings of the ADoBo 2021 shared task, proposed in the context of IberLef 2021. In this task, we invited participants to detect lexical borrowings (…
SeqScore: Addressing Barriers to Reproducible Named Entity Recognition Evaluation
Chester Palen-Michel, Nolan Holley, Constantine Lignos
To address a looming crisis of unreproducible evaluation for named entity recognition, we propose guidelines and introduce SeqScore, a software package to improve reproducibility.…
Mining Wikidata for Name Resources for African Languages
Jonne Sälevä, Constantine Lignos
This work supports further development of language technology for the languages of Africa by providing a Wikidata-derived resource of name lists corresponding to common entity type…