Lucas Graves

Sociology and Political Science · 2018

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

• Sociology and Political Science — 8 citations into it
• Artificial Intelligence — 6 citations into it

Whom Lucas Graves trusts overall

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

1. James Thorne
2. Andreas Vlachos
3. James Thorne
4. William Ferreira
5. Naeemul Hassan
6. Christos Christodoulopoulos

Who trusts Lucas Graves overall

1. Zhijiang Guo
2. Andreas Vlachos
3. Michael Sejr Schlichtkrull
4. Rami Aly
5. Angela Fan
6. James Thorne
7. Neema Kotonya
8. Jieun Shin
9. Aleksandra Piktus
10. Amrith Krishna

Papers from Lucas Graves's perspective

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

1. FEVER: a Large-scale Dataset for Fact Extraction and VERification
2. Toward Automated Fact-Checking: Detecting Check-worthy Factual Claims by ClaimBuster (Knowledge Discovery and Data Mining)
3. Emergent: a novel data-set for stance classification
4. The Stanford CoreNLP Natural Language Processing Toolkit
5. SQuAD: 100,000+ Questions for Machine Comprehension of Text
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Reading Wikipedia to Answer Open-Domain Questions
8. NLTK: The Natural Language Toolkit
9. Bidirectional Attention Flow for Machine Comprehension
10. “Liar, Liar Pants on Fire”: A New Benchmark Dataset for Fake News Detection

Their papers

• Correcting Political and Consumer Misperceptions: The Effectiveness and Effects of Rating Scale Versus Contextual Correction Formats (2018) — 133 citations
• Understanding the Promise and Limits of Automated Fact-Checking (2018)