D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 66 Citations 21,596 149 World Ranking 1444 National Ranking 813

Overview

What is he best known for?

The fields of study Daniel Marcu is best known for:

  • Artificial intelligence
  • Machine learning
  • Statistics

His Mathematical analysis research is intertwined with Domain (mathematical analysis) and Tree (set theory). Daniel Marcu integrates Domain (mathematical analysis) and Mathematical analysis in his research. His Artificial intelligence study frequently links to other fields, such as Sentence. In his works, Daniel Marcu undertakes multidisciplinary study on Natural language processing and Natural language understanding. His study brings together the fields of Domain adaptation and Classifier (UML). His research on Programming language frequently connects to adjacent areas such as Classifier (UML). Daniel Marcu merges Linguistics with Parsing in his research. Daniel Marcu applies his multidisciplinary studies on Parsing and Natural language in his research. His work in Natural language is not limited to one particular discipline; it also encompasses Natural language understanding.

His most cited work include:

  • Domain Adaptation for Statistical Classifiers (707 citations)
  • Summarization beyond sentence extraction: A probabilistic approach to sentence compression (462 citations)
  • Search-based structured prediction (418 citations)

What are the main themes of his work throughout his whole career to date

Artificial intelligence and Classifier (UML) are frequently intertwined in his study. Daniel Marcu combines topics linked to Artificial intelligence with his work on Classifier (UML). The study of Natural language processing is intertwined with the study of Sentence in a number of ways. His Programming language study frequently links to other fields, such as Set (abstract data type). His Programming language research extends to the thematically linked field of Set (abstract data type). His research on Linguistics often connects related areas such as Word (group theory). His studies link Linguistics with Word (group theory). His study connects Parallel corpora and Machine translation. His study on Parallel corpora is mostly dedicated to connecting different topics, such as Machine translation.

Daniel Marcu most often published in these fields:

  • Artificial intelligence (86.21%)
  • Natural language processing (58.62%)
  • Programming language (44.83%)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Statistical phrase-based translation

Philipp Koehn;Franz Josef Och;Daniel Marcu.
north american chapter of the association for computational linguistics (2003)

3296 Citations

Domain adaptation for statistical classifiers

Hal Daumé;Daniel Marcu.
Journal of Artificial Intelligence Research (2006)

985 Citations

The Theory and Practice of Discourse Parsing and Summarization

Daniel Marcu.
(2000)

920 Citations

The Rhetorical Parsing of Unrestricted Natural Language Texts

Daniel Marcu.
meeting of the association for computational linguistics (1997)

705 Citations

A Phrase-Based,Joint Probability Model for Statistical Machine Translation

Daniel Marcu;Daniel Wong.
empirical methods in natural language processing (2002)

646 Citations

What’s in a translation rule?

Michel Galley;Mark Hopkins;Kevin Knight;Daniel Marcu.
north american chapter of the association for computational linguistics (2004)

638 Citations

Summarization beyond sentence extraction: a probabilistic approach to sentence compression

Kevin Knight;Daniel Marcu.
Artificial Intelligence (2002)

634 Citations

Search-based structured prediction

Hal Daumé;John Langford;Daniel Marcu.
Machine Learning (2009)

615 Citations

Building a discourse-tagged corpus in the framework of Rhetorical Structure Theory

Lynn Carlson;Daniel Marcu;Mary Ellen Okurowski.
annual meeting of the special interest group on discourse and dialogue (2001)

596 Citations

Statistics-Based Summarization - Step One: Sentence Compression

Kevin Knight;Daniel Marcu.
national conference on artificial intelligence (2000)

574 Citations

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