Francis M. Tyers
Artificial Intelligence · 2011–2021
A researcher in the Science corpus: 7 papers; trusts 2 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 29 citations into it; #27,290 of 35,345 by trust here, #7,010 by citations
- Natural Language Processing — 21 citations into it
- Evaluation & Benchmarks — 8 citations into it
Whom Francis M. Tyers trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Francis M. Tyers overall
Papers from Francis M. Tyers's perspective
Ordered by how strongly the researchers Francis M. Tyers trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Building a Large Annotated Corpus of English: The Penn Treebank
- Understanding the difficulty of training deep feedforward neural networks
- Generating Typed Dependency Parses from Phrase Structure Parses
- Moses: Open Source Toolkit for Statistical Machine Translation
- Europarl: A Parallel Corpus for Statistical Machine Translation
- Statistical Significance Tests for Machine Translation Evaluation
- A Universal Part-of-Speech Tagset (International Conference on Language Resources and Evaluation)
- Universal Stanford dependencies: A cross-linguistic typology (International Conference on Language Resources and Evaluation)
- A Study of Translation Edit Rate with Targeted Human Annotation
Their papers
- Common Voice: A Massively-Multilingual Speech Corpus (2019) — 2,502 citations
- Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection (2020) — 657 citations
- Universal Dependencies (2021) — 338 citations
- SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection (2020) — 90 citations
- Universal Dependencies 2.1 (2017) — 425 citations
- Finite-state morphological transducers for three Kypchak languages (2014) — 39 citations
- Apertium: a free/open-source platform for rule-based machine translation (2011) — 419 citations