William Badecker

Cognitive Neuroscience · 2003–2015

A researcher in the Science corpus: 4 papers; trusts 13 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 11 citations into it; #6,625 of 10,852 by trust here, #7,348 by citations
• Developmental and Educational Psychology — 10 citations into it; #7,175 of 8,223 by trust here, #5,239 by citations
• Cognitive Science & Psychology — 8 citations into it
• Natural Language Processing — 8 citations into it
• Language and Linguistics — 7 citations into it; #2,247 of 3,093 by trust here, #2,533 by citations
• Artificial Intelligence — 6 citations into it; #28,415 of 35,345 by trust here, #33,294 by citations
• Model Architectures — 5 citations into it; #1,849 of 2,278 by trust here, #2,215 by citations

Whom William Badecker trusts overall

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

1. Herbert H. Clark
2. M. Masson
3. Jeffrey L. Elman
4. Paul Smolensky
5. P. Rodríguez
6. Jean-Pierre Koenig
7. John J. McCarthy
8. Daniel Harbour
9. A. Prince
10. Maryellen C. MacDonald

Who trusts William Badecker overall

1. Giosuè Baggio
2. Yonatan Belinkov

Papers from William Badecker's perspective

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

1. Finding Structure in Time
2. Learning and development in neural networks: the importance of starting small.
3. Information processing in dynamical systems: foundations of harmony theory
4. Connectionism and cognitive architecture: a critical analysis.
5. Distributed representations, simple recurrent networks, and grammatical structure
6. Building a Large Annotated Corpus of English: The Penn Treebank
7. Using confidence intervals for graphically based data interpretation. (Canadian journal of experimental psychology = Revue canadienne de psychologie experimentale)
8. Book Reviews: Head-driven Phrase Structure Grammar and German in Head-driven Phrase-structure Grammar
9. Simple Recurrent Networks Learn Context-Free and Context-Sensitive Languages by Counting
10. Memory interference during language processing. (Journal of Experimental Psychology. Learning, Memory and Cognition)

Their papers

• The Acquisition of Anaphora by Simple Recurrent Networks (2013) — 20 citations
• The Grammars of Conjunction Agreement in Slovenian (2015) — 107 citations
• Morphology, agreement and working memory retrieval in sentence production : Evidence from gender and case in Slovak (2007) — 184 citations
• Morphological analysis in sentence processing: An ERP study (2003) — 142 citations