--- title: "Fernando Pereira — papers and cards" description: "Fernando Pereira: 4 paper cards in the Research library (2005–2007), with what each paper is about, the ideas Mova took from it, and the co-authors." canonical: "https://research.elamur.ai/free/en/authors/fernando-pereira/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/fernando-pereira/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Fernando Pereira # Fernando Pereira 4 paper cards in the Research library · 2005–2007 Fernando Pereira wrote 4 of the papers Mova reads, in 2005–2007, most of them on [Dependency parsing](https://md.research.elamur.ai/free/en/topics/dependency-parsing/), [Treebanks](https://md.research.elamur.ai/free/en/topics/treebanks/); often with [Ryan McDonald](https://md.research.elamur.ai/free/en/authors/ryan-mcdonald/), [Jan Hajič](https://md.research.elamur.ai/free/en/authors/jan-hajic/), João Graça. [OpenAlex](https://openalex.org/A5044708805) · [ORCID](https://orcid.org/0000-0001-6100-947X) · [**h-index 74**](https://openalex.org/authors/A5044708805) · [31029 citations](https://openalex.org/authors/A5044708805) · [515 works](https://openalex.org/works?filter=author.id:A5044708805) — openalex-snapshot, 2026-10-14 The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Fernando+Pereira) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Fernando+Pereira) · [dblp](https://dblp.org/search?q=Fernando+Pereira) · [ACL Anthology](https://aclanthology.org/search/?q=Fernando+Pereira) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Fernando+Pereira) Topics: [Dependency parsing](https://md.research.elamur.ai/free/en/topics/dependency-parsing/) 4 · [Treebanks](https://md.research.elamur.ai/free/en/topics/treebanks/) 1 ## Papers 1. **[Frustratingly Hard Domain Adaptation for Dependency Parsing](https://md.research.elamur.ai/free/en/papers/aclbulk-2007-dredze-frustratingly-hard-domain-adaptation-dependency/)** *(2007)* The authors report their entry to the 2007 CoNLL shared task on domain adaptation, where parsers had to adapt to new domains without labelled target data. 2. **[Online Learning of Approximate Dependency Parsing Algorithms](https://md.research.elamur.ai/free/en/papers/continual-2006-mcdonald-online-learning-approximate-dependency-parsing/)** *(2006)* The maximum spanning tree framework scores a tree as a sum of arc scores, which cannot see neighbouring decisions. 3. **[Non-Projective Dependency Parsing using Spanning Tree Algorithms](https://md.research.elamur.ai/free/en/papers/narrative-2005-mcdonald-non-projective-dependency-parsing-spanning/)** *(2005)* The paper casts weighted dependency parsing as a search for maximum spanning trees in a directed graph. Eisner's algorithm covers all projective trees in O(n^3), and the Chu-Liu-Edmonds algorithm covers non-projective trees in O(n^2), with the same edge scores. The scores are trained with online large-margin learning… 4. **[Online Large-Margin Training of Dependency Parsers](https://md.research.elamur.ai/free/en/papers/narrative-2005-mcdonald-online-large-margin-training-dependency/)** *(2005)* The paper trains a linear, edge-scored dependency parser with online MIRA, a margin-based update that changes the weights as little as possible while the correct tree beats the k best wrong trees by a loss-dependent margin. ## Co-authors (9) - [Ryan McDonald](https://md.research.elamur.ai/free/en/authors/ryan-mcdonald/) ×3 - [Jan Hajič](https://md.research.elamur.ai/free/en/authors/jan-hajic/) - João Graça - John Blitzer - Kiril Ribarov - Koby Crammer - Kuzman Ganchev - Mark Dredze - Partha Pratim Talukdar ## More papers in the library (6) Pages of the Research library: our summary, the ideas, references and who cites each. - [Large-Scale Cross-Document Coreference Using Distributed Inference and Hierarchical Models](https://md.research.elamur.ai/free/en/papers/singh-2011-large-scale-cross-document-coreference/) — Sameer Singh, Amarnag Subramanya, Fernando Pereira, et al. · 2011 - [Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classification](https://md.research.elamur.ai/free/en/papers/blitzer-2007-biographies-bollywood-boom-boxes-blenders/) — John Blitzer, Mark Dredze, Fernando Pereira · 2007 - [Domain Adaptation with Structural Correspondence Learning](https://md.research.elamur.ai/free/en/papers/blitzer-2006-domain-adaptation-structural-correspondence-learning/) — John Blitzer, Ryan McDonald, Fernando Pereira · 2006 - [Multilingual Dependency Analysis with a Two-Stage Discriminative Parser](https://md.research.elamur.ai/free/en/papers/mcdonald-2006-multilingual-dependency-analysis-two-stage/) — Ryan McDonald, Kevin Lerman, Fernando Pereira · 2006 - [Distributional Clustering of English Words](https://md.research.elamur.ai/free/en/papers/pereira-1993-distributional-clustering-english-words/) — Fernando Pereira, Naftali Tishby, Lillian Lee · 1993 - [Inside-Outside Reestimation From Partially Bracketed Corpora](https://md.research.elamur.ai/free/en/papers/pereira-1992-inside-outside-reestimation-partially-bracketed/) — Fernando Pereira, Yves Schabes · 1992