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Vanesa Rodriguez-Tembras

dblp:304/3564 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 since 2021

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 · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Information extraction and text analysis › open information extraction
multilingual open information extraction
0.612022
MILIE: Modular & Iterative Multilingual Open Information Extraction · ACL (1) 2022
Natural language and speech › Information extraction and text analysis
open information extraction
0.612022
MILIE: Modular & Iterative Multilingual Open Information Extraction · ACL (1) 2022

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

modular extraction · 0.6iterative extraction · 0.6
YearPublicationVenuePosition
2022 MILIE: Modular & Iterative Multilingual Open Information Extraction
abstract
Bhushan Kotnis, Kiril Gashteovski, Daniel Rubio, Ammar Shaker, Vanesa Rodriguez-Tembras, Makoto Takamoto, Mathias Niepert, Carolin Lawrence. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2022.
Bhushan Kotnis, Kiril Gashteovski, Daniel Oñoro-Rubio, Ammar Shaker, Vanesa Rodriguez-Tembras, Makoto Takamoto, Mathias Niepert, Carolin Lawrence
ACL (1)5