---
title: "Holger Schwenk — papers"
description: "Holger Schwenk: 12 papers in the Elamur Research library (2015–2022) — our summary of each, its ideas, references and who cites it."
canonical: "https://research.elamur.ai/free/en/authors/holger-schwenk/"
---
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# Holger Schwenk

12 papers on this site (2015–2022)

[OpenAlex](https://openalex.org/A5015857371) · h-index 45 · 227 works · 38356 citations (openalex-snapshot, 2026-10-14)

Profile data from OpenAlex; authors with the same name are not always told apart.

- [Bitext Mining Using Distilled Sentence Representations for Low-Resource Languages](https://md.research.elamur.ai/free/en/papers/heffernan-2022-bitext-mining-distilled-sentence-representations/) — Kevin Heffernan, Onur Çelebi, Holger Schwenk · 2022
- [CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEB](https://md.research.elamur.ai/free/en/papers/schwenk-2019-ccmatrix-mining-billions-high-quality/) — Holger Schwenk, Guillaume Wenzek, Sergey Edunov, et al. · 2019
- [Low-Resource Corpus Filtering Using Multilingual Sentence Embeddings](https://md.research.elamur.ai/free/en/papers/chaudhary-2019-low-resource-corpus-filtering-multilingual/) — Vishrav Chaudhary, Yuqing Tang, Francisco Guzmán, et al. · 2019
- [Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddings](https://md.research.elamur.ai/free/en/papers/artetxe-2019-margin-based-parallel-corpus-mining/) — Mikel Artetxe, Holger Schwenk · 2019
- [MLQA: Evaluating Cross-lingual Extractive Question Answering](https://md.research.elamur.ai/free/en/papers/lewis-2019-mlqa-evaluating-cross-lingual-extractive/) — Patrick Lewis, Barlas Oğuz, Ruty Rinott, et al. · 2019
- [WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs from Wikipedia](https://md.research.elamur.ai/free/en/papers/schwenk-2019-wikimatrix-mining-135m-parallel-sentences/) — Holger Schwenk, Vishrav Chaudhary, Shuo Sun, et al. · 2019
- [A Corpus for Multilingual Document Classification in Eight Languages](https://md.research.elamur.ai/free/en/papers/schwenk-2018-corpus-multilingual-document-classification-eight/) — Holger Schwenk, Xian Li · 2018
- [Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond](https://md.research.elamur.ai/free/en/papers/artetxe-2018-massively-multilingual-sentence-embeddings-zero/) — Mikel Artetxe, Holger Schwenk · 2018
- [Learning Joint Multilingual Sentence Representations with Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/schwenk-2017-learning-joint-multilingual-sentence-representations/) — Holger Schwenk, Matthijs Douze · 2017
- [Supervised Learning of Universal Sentence Representations from Natural Language Inference Data](https://md.research.elamur.ai/free/en/papers/conneau-2017-supervised-learning-universal-sentence-representations/) — Alexis Conneau, Douwe Kiela, Holger Schwenk, et al. · 2017
- [Very Deep Convolutional Networks for Text Classification](https://md.research.elamur.ai/free/en/papers/conneau-2017-very-deep-convolutional-networks-text/) — Alexis Conneau, Holger Schwenk, Loïc Barrault, et al. · 2017
- [On Using Monolingual Corpora in Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/gulcehre-2015-using-monolingual-corpora-neural-machine/) — Caglar Gulcehre, Orhan Firat, Kelvin Xu, et al. · 2015