Search Results for author: Joel Mathew

Found 7 papers, 1 papers with code

The eBible Corpus: Data and Model Benchmarks for Bible Translation for Low-Resource Languages

1 code implementation19 Apr 2023 Vesa Akerman, David Baines, Damien Daspit, Ulf Hermjakob, Taeho Jang, Colin Leong, Michael Martin, Joel Mathew, Jonathan Robie, Marcus Schwarting

Efficiently and accurately translating a corpus into a low-resource language remains a challenge, regardless of the strategies employed, whether manual, automated, or a combination of the two.

Benchmarking Machine Translation +2

User Study for Improving Tools for Bible Translation

no code implementations1 Feb 2023 Joel Mathew, Ulf Hermjakob

Technology has increasingly become an integral part of the Bible translation process.


Federated Named Entity Recognition

no code implementations28 Mar 2022 Joel Mathew, Dimitris Stripelis, José Luis Ambite

We present an analysis of the performance of Federated Learning in a paradigmatic natural-language processing task: Named-Entity Recognition (NER).

Federated Learning named-entity-recognition +2

Biomedical Named Entity Recognition via Reference-Set Augmented Bootstrapping

no code implementations1 Jun 2019 Joel Mathew, Shobeir Fakhraei, José Luis Ambite

Second, we use a reference set of entity names (e. g., proteins in UniProt) to identify entity mentions with high precision, but low recall, on an unlabeled corpus.

Data Augmentation named-entity-recognition +2

NSEEN: Neural Semantic Embedding for Entity Normalization

no code implementations19 Nov 2018 Shobeir Fakhraei, Joel Mathew, Jose Luis Ambite

An important task in this process is entity normalization, which consists of mapping noisy entity mentions in text to canonical entities in well-known reference sets.

Entity Resolution Knowledge Graphs

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