33 citations · 45 across the 17 of their papers we have counts for
18 papers
Comparing Approaches to Automatic Summarization in Less-Resourced Languages
Chester Palen-Michel, Constantine Lignos
Automatic text summarization has achieved high performance in high-resourced languages like English, but comparatively less attention has been given to summarization in less-resour…
QueryNER: Segmentation of E-commerce Queries
Chester Palen-Michel, Lizzie Liang, Zhe Wu +1
We present QueryNER, a manually-annotated dataset and accompanying model for e-commerce query segmentation. Prior work in sequence labeling for e-commerce has largely addressed asp…
ParaNames 1.0: Creating an Entity Name Corpus for 400+ Languages using Wikidata
Jonne Sälevä, Constantine Lignos
We introduce ParaNames, a massively multilingual parallel name resource consisting of 140 million names spanning over 400 languages. Names are provided for 16.8 million entities, a…
What changes when you randomly choose BPE merge operations? Not much
Jonne Sälevä, Constantine Lignos
We introduce three simple randomized variants of byte pair encoding (BPE) and explore whether randomizing the selection of merge operations substantially affects a downstream machi…
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…
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…
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…
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…
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…
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…
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…