Yeongkil Song

2017

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Yeongkil Song trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Ellen Riloff
2. Michael Collins
3. Michael Thelen
4. Eugene Agichtein
5. Gerard A. Salton
6. Rosie Jones
7. Luis Gravano
8. Anita Wong
9. Ralph Grishman
10. David Nadeau

Who trusts Yeongkil Song overall

1. Dang Lien Minh
2. Abolghasem Sadeghi-Niaraki

Papers from Yeongkil Song's perspective

Ordered by how strongly the researchers Yeongkil Song trusts endorse each paper. Same corpus, a different order for every researcher.

1. Learning Dictionaries for Information Extraction by Multi-Level Bootstrapping
2. Head-Driven Statistical Models for Natural Language Parsing
3. Snowball: extracting relations from large plain-text collections
4. A Bootstrapping Method for Learning Semantic Lexicons using Extraction Pattern Contexts (Conference on Empirical Methods in Natural Language Processing)
5. Message Understanding Conference- 6: A Brief History
6. A vector space model for automatic indexing
7. A survey of named entity recognition and classification
8. Building a Large Annotated Corpus of English: The Penn Treebank
9. Automatically Generating Extraction Patterns from Untagged Text
10. Automatic Acquisition of Hyponyms from Large Text Corpora

Their papers

• Semi-automatic construction of a named entity dictionary for entity-based sentiment analysis in social media (2017) — 12 citations