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Michael Pust

dblp:96/8158 · DBLP profile ↗
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3ranked-venue papers
1as first author
0since 2021 · last 2018
—ORCID · none

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

Artificial intelligence and machine learning · 3 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 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
1 paper
Information extraction and text analysis · 50% Machine translation · 50%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Information extraction and text analysis › semantic parsing
abstract meaning representation parsing		 0.212015
Parsing English into Abstract Meaning Representation Using Syntax-Based Machine Translation · EMNLP 2015
Natural language and speech › Information extraction and text analysis
semantic parsing		 0.212015
Parsing English into Abstract Meaning Representation Using Syntax-Based Machine Translation · EMNLP 2015
Natural language and speech › Machine translation › syntax-based machine translation
string-to-tree translation		 0.212015
Parsing English into Abstract Meaning Representation Using Syntax-Based Machine Translation · EMNLP 2015
Natural language and speech › Machine translation
syntax-based machine translation		 0.212015
Parsing English into Abstract Meaning Representation Using Syntax-Based Machine Translation · EMNLP 2015

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

syntax-based machine translation · 0.2language model · 0.2
YearPublicationVenuePosition
2018 Incident-Driven Machine Translation and Name Tagging for Low-resource Languages
Ulf Hermjakob, Daniel Marcu, Jonathan May, Sabrina J. Mielke, Nima Pourdamghani, Michael Pust, Kevin Knight, Tomer Levinboim, Kenton Murray, David Chiang 0001, Boliang Zhang, Xiaoman Pan, Di Lu 0003, Heng Ji 0001
 Mach. Transl.7
2017 Team ELISA System for DARPA LORELEI Speech Evaluation 2016
Pavlos Papadopoulos, Ruchir Travadi, Colin Vaz, Nikos Malandrakis, Ulf Hermjakob, Nima Pourdamghani, Michael Pust, Boliang Zhang, Xiaoman Pan, Di Lu 0003, Ondrej Glembek, Murali Karthick Baskar, Martin Karafiát, Lukás Burget, Mark Hasegawa-Johnson, Heng Ji 0001, Jonathan May, Kevin Knight, Shri Narayanan
 INTERSPEECH7
2015 Parsing English into Abstract Meaning Representation Using Syntax-Based Machine Translation
abstract
We present a parser for Abstract Meaning Representation (AMR).We treat Englishto-AMR conversion within the framework of string-to-tree, syntax-based machine translation (SBMT).To make this work, we transform the AMR structure into a form suitable for the mechanics of SBMT and useful for modeling.We introduce an AMR-specific language model and add data and features drawn from semantic resources.Our resulting AMR parser significantly improves upon state-of-the-art results.
Michael Pust, Ulf Hermjakob, Kevin Knight, Daniel Marcu, Jonathan May
 EMNLP1