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20212025
most citedMacro-Average: Rare Types Are Important Too

33 citations · 45 across the 17 of their papers we have counts for

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7 papers · 1 filter

cs.CL2022★ 2 cited

LR-Sum: Summarization for Less-Resourced Languages

Chester Palen-Michel, Constantine Lignos

This preprint describes work in progress on LR-Sum, a new permissively-licensed dataset created with the goal of enabling further research in automatic summarization for less-resou…

cs.CL2022★ 3 cited

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…

cs.CL2022★ 5 cited

Borrowing or Codeswitching? Annotating for Finer-Grained Distinctions in Language Mixing

Elena Alvarez Mellado, Constantine Lignos

We present a new corpus of Twitter data annotated for codeswitching and borrowing between Spanish and English. The corpus contains 9,500 tweets annotated at the token level with co…

cs.CL2022

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…

cs.CL2022

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…

cs.CL2022

ParaNames: A Massively Multilingual Entity Name Corpus

Jonne Sälevä, Constantine Lignos

We introduce ParaNames, a multilingual parallel name resource consisting of 118 million names spanning across 400 languages. Names are provided for 13.6 million entities which are…

cs.CL2022

Multilingual Open Text Release 1: Public Domain News in 44 Languages

Chester Palen-Michel, June Kim, Constantine Lignos

We present Multilingual Open Text (MOT), a new multilingual corpus containing text in 44 languages, many of which have limited existing text resources for natural language processi…