33 citations · 45 across the 17 of their papers we have counts for
7 papers · 1 filter
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.…
Macro-Average: Rare Types Are Important Too
Thamme Gowda, Weiqiu You, Constantine Lignos +1
While traditional corpus-level evaluation metrics for machine translation (MT) correlate well with fluency, they struggle to reflect adequacy. Model-based MT metrics trained on seg…
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…
TMR: Evaluating NER Recall on Tough Mentions
Jingxuan Tu, Constantine Lignos
We propose the Tough Mentions Recall (TMR) metrics to supplement traditional named entity recognition (NER) evaluation by examining recall on specific subsets of "tough" mentions:…
The Effectiveness of Morphology-aware Segmentation in Low-Resource Neural Machine Translation
Jonne Sälevä, Constantine Lignos
This paper evaluates the performance of several modern subword segmentation methods in a low-resource neural machine translation setting. We compare segmentations produced by apply…
MasakhaNER: Named Entity Recognition for African Languages
David Ifeoluwa Adelani, Jade Abbott, Graham Neubig +58
We take a step towards addressing the under-representation of the African continent in NLP research by creating the first large publicly available high-quality dataset for named en…