📰 Workshop on Scaling Up Multilingual Evaluation 2022 — accepted papers

Workshop on Scaling Up Multilingual Evaluation 2022 is the 2022 edition of the Workshop on Scaling Up Multilingual Evaluation, held in Online, November 2022 (publisher: Association for Computational Linguistics). The ACL Anthology lists 5 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

📍 Online · 🗓 November 2022

Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

1. NTREX-128 – News Test References for MT Evaluation of 128 LanguagesChristian Federmann, Tom Kocmi, Ying Xin17 citations · our summary
2. IndoRobusta: Towards Robustness Against Diverse Code-Mixed Indonesian Local Languages ↗Muhammad Farid Adilazuarda, Samuel Cahyawijaya, Genta Indra Winata et al.8 citations
3. The SUMEval 2022 Shared Task on Performance Prediction of Multilingual Pre-trained Language Models ↗Kabir Ahuja, Antonios Anastasopoulos, Barun Patra et al.1 citation
4. To Train or Not to Train: Predicting the Performance of Massively Multilingual Models ↗Shantanu Patankar, Omkar Gokhale, Onkar Litake et al.1 citation

All accepted papers (5)

The most cited first; 1 with our summary link to their page here, the others to the original.

1. NTREX-128 – News Test References for MT Evaluation of 128 LanguagesChristian Federmann, Tom Kocmi, Ying Xin17 citations · our summary
2. IndoRobusta: Towards Robustness Against Diverse Code-Mixed Indonesian Local Languages ↗Muhammad Farid Adilazuarda, Samuel Cahyawijaya, Genta Indra Winata et al.8 citations
3. The SUMEval 2022 Shared Task on Performance Prediction of Multilingual Pre-trained Language Models ↗Kabir Ahuja, Antonios Anastasopoulos, Barun Patra et al.1 citation
4. To Train or Not to Train: Predicting the Performance of Massively Multilingual Models ↗Shantanu Patankar, Omkar Gokhale, Onkar Litake et al.1 citation
5. The GMU System Submission for the SUMEval 2022 Shared Task ↗Syeda Sabrina Akter, Antonios Anastasopoulos

📄 Papers with our summary in our library (1)

The most cited first (OpenAlex citations plus our library's).

1. NTREX-128 – News Test References for MT Evaluation of 128 LanguagesWorkshop on Scaling Up Multilingual EvaluationChristian Federmann, Tom Kocmi, Ying Xin2022 · 104 citations

🧭 Top topics

Topics of its works in our library, with the number of works on each.

🔁Machine translation (1)📏Evaluation & benchmarks (1)

📚 Fields

🎭Arts and Humanities (1)🖥️Computer Science (1)

🧑‍🔬 Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

🏛️ Top institutions

Institutions on the bylines of its works here, by the number of works.

🏢MicrosoftRedmond · United States1 work here

Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library.

This page in Markdown → https://md.research.elamur.ai/free/en/venues/sumeval/2022/