Demo Data from SIGIR 2026 / reviewers in the wild / expert
Atanas Chanev
dblp:00/5814
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2007
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2
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
1 paper |
Information extraction and text analysis · 80% Transfer learning and domain adaptation · 20% |
Topics — the 5 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 |
0.1 | 1 | 2007 | Multilingual Dependency Parsing and Domain Adaptation using DeSR · EMNLP-CoNLL 2007 |
Machine learning › Transfer learning and domain adaptation
domain adaptation |
0.1 | 1 | 2007 | Multilingual Dependency Parsing and Domain Adaptation using DeSR · EMNLP-CoNLL 2007 |
Natural language and speech › Information extraction and text analysis › syntactic parsing › dependency parsing
multilingual dependency parsing |
0.1 | 1 | 2007 | Multilingual Dependency Parsing and Domain Adaptation using DeSR · EMNLP-CoNLL 2007 |
Natural language and speech › Information extraction and text analysis › syntactic parsing
parser adaptation |
0.1 | 1 | 2007 | Multilingual Dependency Parsing and Domain Adaptation using DeSR · EMNLP-CoNLL 2007 |
Natural language and speech › Information extraction and text analysis
syntactic parsing |
0.1 | 1 | 2007 | Multilingual Dependency Parsing and Domain Adaptation using DeSR · EMNLP-CoNLL 2007 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2007 | Multilingual Dependency Parsing and Domain Adaptation using DeSR
Giuseppe Attardi, Felice Dell'Orletta, Maria Simi, Atanas Chanev, Massimiliano Ciaramita |
EMNLP-CoNLL | 4 |
| 2007 | MaltParser: A language-independent system for data-driven dependency parsingabstractParsing unrestricted text is useful for many language technology applications but requires parsing methods that are both robust and efficient. MaltParser is a language-independent system for data-driven dependency parsing that can be used to induce a parser for a new language from a treebank sample in a simple yet flexible manner. Experimental evaluation confirms that MaltParser can achieve robust, efficient and accurate parsing for a wide range of languages without language-specific enhancements and with rather limited amounts of training data. Joakim Nivre, Johan Hall, Jens Nilsson 0001, Atanas Chanev, Gülsen Eryigit, Sandra Kübler, Svetoslav Marinov, Erwin Marsi |
Nat. Lang. Eng. | 4 |