Ken Satoh
Artificial Intelligence · 2016–2019
A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 6 citations into it
- Natural Language Processing — 6 citations into it
Whom Ken Satoh trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Mi-Young Kim (in Artificial Intelligence)
- Randy Goebel (in Artificial Intelligence)
- Tomas Mikolov (in Artificial Intelligence)
- Juliano Rabelo (in Artificial Intelligence)
Papers from Ken Satoh's perspective
Ordered by how strongly the researchers Ken Satoh trusts endorse each paper. Same corpus, a different order for every researcher.
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- Deep Contextualized Word Representations (North American Chapter of the Association for Computational Linguistics)
- Distributed Representations of Sentences and Documents
- From Puppy to Maturity: Experiences in Developing Terrier
- Legal Information Retrieval with Generalized Language Models
- Combining Similarity and Transformer Methods for Case Law Entailment
- COLIEE-2016: Evaluation of the Competition on Legal Information Extraction and Entailment
- Overview of COLIEE 2017
- Statute Law Information Retrieval and Entailment
Their papers
- A Summary of the COLIEE 2019 Competition (2019) — 85 citations
- Overview of COLIEE 2017 (2017) — 26 citations
- COLIEE-2016: Evaluation of the Competition on Legal Information Extraction and Entailment (2016)