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Martin Forst

dblp:43/4957 · DBLP profile ↗
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5ranked-venue papers
2as first author
0since 2021 · last 2011
—ORCID · none

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

Artificial intelligence and machine learning · 5 · 2 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
1 paper
Information extraction and text analysis · 67% Image recognition and object detection · 33%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computer vision › Image recognition and object detection › object detection
cascade classifier
0.112011
A Cascaded Classification Approach to Semantic Head Recognition · EMNLP 2011
Natural language and speech › Information extraction and text analysis
syntactic parsing
0.112011
A Cascaded Classification Approach to Semantic Head Recognition · EMNLP 2011

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

cascaded classification · 0.1
YearPublicationVenuePosition
2011 A Cascaded Classification Approach to Semantic Head Recognition
Lukas Michelbacher, Alok Kothari, Martin Forst, Christina Lioma, Hinrich Schütze
EMNLP3
2009 Human Evaluation of a German Surface Realisation Ranker
Aoife Cahill, Martin Forst
EACL2
2009 TBL-Improved Non-Deterministic Segmentation and POS Tagging for a Chinese Parser
Martin Forst, Ji Fang
EACL1
2006 The importance of precise tokenizing for deep grammars
Martin Forst, Ronald M. Kaplan
LREC1
2006 Improving coverage and parsing quality of a large-scale LFG for German
Christian Rohrer, Martin Forst
LREC2