Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page
Demo Data from SIGIR 2026 / reviewers in the wild / expert

Francesco Sartorio

dblp:136/8643 · DBLP profile ↗
← Back
3ranked-venue papers
1as first author
0since 2021 · last 2014
0000-0001-5372-131XORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 3 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
2 papers
Information extraction and text analysis · 100%
Software engineering, system software, and programming languages
1 paper
Compilers and program optimization · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Information extraction and text analysis › syntactic parsing
dependency parsing		 0.422014
A Polynomial-Time Dynamic Oracle for Non-Projective Dependency Parsing · EMNLP 2014
A Transition-Based Dependency Parser Using a Dynamic Parsing Strategy · ACL (1) 2013
Natural language and speech › Information extraction and text analysis
syntactic parsing		 0.422014
A Polynomial-Time Dynamic Oracle for Non-Projective Dependency Parsing · EMNLP 2014
A Transition-Based Dependency Parser Using a Dynamic Parsing Strategy · ACL (1) 2013
Natural language and speech › Information extraction and text analysis › syntactic parsing › dependency parsing
non-projective dependency parsing		 0.212014
A Polynomial-Time Dynamic Oracle for Non-Projective Dependency Parsing · EMNLP 2014
Natural language and speech › Information extraction and text analysis › syntactic parsing
transition-based parsing		 0.212013
A Transition-Based Dependency Parser Using a Dynamic Parsing Strategy · ACL (1) 2013
Compilers and program optimization
parsing		 0.012013
A Transition-Based Dependency Parser Using a Dynamic Parsing Strategy · ACL (1) 2013

Methods — techniques the papers use, named apart from their topics

dynamic parsing strategy · 0.3transition-based parsing · 0.2dynamic oracle · 0.2
YearPublicationVenuePosition
2014 A Polynomial-Time Dynamic Oracle for Non-Projective Dependency Parsing
abstract
The introduction of dynamic oracles has considerably improved the accuracy of greedy transition-based dependency parsers, without sacrificing parsing efficiency.However, this enhancement is limited to projective parsing, and dynamic oracles have not yet been implemented for parsers supporting non-projectivity.In this paper we introduce the first such oracle, for a non-projective parser based on Attardi's parser.We show that training with this oracle improves parsing accuracy over a conventional (static) oracle on a wide range of datasets.
Carlos Gómez-Rodríguez, Francesco Sartorio, Giorgio Satta
 EMNLP2
2014 A Tabular Method for Dynamic Oracles in Transition-Based Parsing
abstract
We develop parsing oracles for two transition-based dependency parsers, including the arc-standard parser, solving a problem that was left open in (Goldberg and Nivre, 2013). We experimentally show that using these oracles during training yields superior parsing accuracies on many languages.
Yoav Goldberg, Francesco Sartorio, Giorgio Satta
 Trans. Assoc. Comput. Linguistics2
2013 A Transition-Based Dependency Parser Using a Dynamic Parsing Strategy
Francesco Sartorio, Giorgio Satta, Joakim Nivre
 ACL (1)1