Demo Data from VLDB 2026 / reviewers in the wild / expert
Jirí Havelka
dblp:29/2187
· DBLP profile ↗
9ranked-venue papers
1as first author
0since 2021 · last 2017
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 9 · 1 first-authorDatabases, data management, data science and information retrieval · 1
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 · 94% Language models and text generation · 6% | |
| Theoretical computer science
1 paper |
Graph algorithms and graph theory · 100% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Natural language and speech › Information extraction and text analysis › syntactic parsing › dependency parsing
non-projective dependency parsing |
0.1 | 2 | 2007 | Log-Linear Models of Non-Projective Trees, $k$-best MST Parsing and Tree-Ranking · EMNLP-CoNLL 2007 Beyond Projectivity: Multilingual Evaluation of Constraints and Measures on Non-Projective Structures · ACL 2007 |
Natural language and speech › Information extraction and text analysis
syntactic parsing |
0.1 | 2 | 2007 | Log-Linear Models of Non-Projective Trees, $k$-best MST Parsing and Tree-Ranking · EMNLP-CoNLL 2007 Beyond Projectivity: Multilingual Evaluation of Constraints and Measures on Non-Projective Structures · ACL 2007 |
Graph algorithms and graph theory › spanning tree
minimum spanning tree |
0.1 | 1 | 2007 | Log-Linear Models of Non-Projective Trees, $k$-best MST Parsing and Tree-Ranking · EMNLP-CoNLL 2007 |
Natural language and speech › Language models and text generation › evaluation of language models
multilingual evaluation |
0.0 | 1 | 2007 | Beyond Projectivity: Multilingual Evaluation of Constraints and Measures on Non-Projective Structures · ACL 2007 |
Methods — techniques the papers use, named apart from their topics
log-linear model · 0.1k-best MST parsing · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | Malware Detection by Analysing Encrypted Network Traffic with Neural Networks
Paul Prasse, Lukás Machlica, Tomás Pevný, Jirí Havelka, Tobias Scheffer |
ECML/PKDD (2) | 4 |
| 2007 | Beyond Projectivity: Multilingual Evaluation of Constraints and Measures on Non-Projective Structures
Jirí Havelka |
ACL | 1 |
| 2007 | Log-Linear Models of Non-Projective Trees, $k$-best MST Parsing and Tree-Ranking
Keith B. Hall, Jirí Havelka, David A. Smith |
EMNLP-CoNLL | 2 |
| 2005 | Prague Czech-English dependency treebank: resource for structure-based MT
Martin Cmejrek, Jan Curín, Jan Hajic 0001, Jirí Havelka |
EAMT | 4 |
| 2004 | Condition of Projectivity in the Underlying Dependency StructuresabstractThe claim made in this paper is that in a formal description of language, it is possible and useful to work with dependency-based underlying representations of sentences (tectogrammatical representations) meeting the condition of projectivity. The reasons for the inclusion of this condition into the definition of the tectogrammatical representations are both formally and empirically sound (Section 1). An analysis of the material offered by the Prague Dependency Treebank with annotations of the underlying syntactic structure of sentences (described in Section 2) has led to an interesting classification of non-projective constructions in Czech (Section 3). It documents that most (types of) constructions that appear to be non-projective in the surface shape of sentences can be described by means of projective trees. The realization of the surface word order (with the use of movement rules) is then relegated to the morphemic level, where the representation of the sentence has the shape of a string rather than a tree. Katerina Vesela, Jirí Havelka, Eva Hajicová |
COLING | 2 |
| 2004 | Building a Parallel Bilingual Syntactically Annotated Corpus
Jan Curín, Martin Cmejrek, Jirí Havelka, Vladislav Kubon |
IJCNLP | 3 |
| 2004 | Prague Czech-English Dependency Treebank. Syntactically Annotated Resources for Machine Translation
Martin Cmejrek, Jan Curín, Jirí Havelka, Jan Hajic 0001, Vladislav Kubon |
LREC | 3 |
| 2004 | Annotators' Agreement: The Case of Topic-Focus Articulation
Katerina Vesela, Jirí Havelka, Eva Hajicová |
LREC | 2 |
| 2003 | Czech-English Dependency Tree-based Machine Translation
Martin Cmejrek, Jan Curín, Jirí Havelka |
EACL | 3 |