Marie Candito
Natural Language Processing · 2010–2017
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 11 citations into it
Whom Marie Candito trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Michael Collins (in Natural Language Processing)
Papers from Marie Candito's perspective
Ordered by how strongly the researchers Marie Candito trusts endorse each paper. Same corpus, a different order for every researcher.
- Building a Large Annotated Corpus of English: The Penn Treebank
- Three Generative, Lexicalised Models for Statistical Parsing
- A Maximum-Entropy-Inspired Parser
- Learning Accurate, Compact, and Interpretable Tree Annotation
- Accurate Unlexicalized Parsing
- MaltParser: A language-independent system for data-driven dependency parsing
- Coarse-to-Fine n-Best Parsing and MaxEnt Discriminative Reranking (Annual Meeting of the Association for Computational Linguistics)
- Online Large-Margin Training of Dependency Parsers
- The ACL Anthology Network Corpus as a Resource for NLP-based Bibliometrics
- Improving Arabic Dependency Parsing with Lexical and Inflectional Morphological Features
Their papers
- Universal Dependencies 2.1 (2017) — 425 citations
- Statistical Parsing of Morphologically Rich Languages (SPMRL) What, How and Whither (2010) — 151 citations