D-Index & Metrics Best Publications

D-Index & Metrics

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 33 Citations 6,241 131 World Ranking 6771 National Ranking 3217

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Linguistics
  • Natural language processing

Eric Nyberg spends much of his time researching Artificial intelligence, Natural language processing, Question answering, Information retrieval and Linguistics. Eric Nyberg combines subjects such as Context, Variety and Symbol with his study of Artificial intelligence. His work on Sentence, Transfer-based machine translation and Bilingual dictionary as part of his general Natural language processing study is frequently connected to Sequence and Transfer, thereby bridging the divide between different branches of science.

He has included themes like Self-organizing list, Integrated architecture and Modular design in his Question answering study. His Information retrieval research integrates issues from Ranking, Set expansion and Class. In general Linguistics study, his work on Syntax and Metaphor often relates to the realm of Caterpillar and Production, thereby connecting several areas of interest.

His most cited work include:

  • Building Watson: An Overview of the DeepQA Project (1057 citations)
  • Integrated authoring and translation system (352 citations)
  • A Long Short-Term Memory Model for Answer Sentence Selection in Question Answering (281 citations)

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

His scientific interests lie mostly in Artificial intelligence, Natural language processing, Question answering, Information retrieval and Machine translation. The various areas that Eric Nyberg examines in his Artificial intelligence study include Domain and Machine learning. Transfer-based machine translation, Sentence, Example-based machine translation, Natural language and Computer-assisted translation are among the areas of Natural language processing where the researcher is concentrating his efforts.

His research integrates issues of Ranking, Probabilistic logic, Ranking and Component in his study of Question answering. His Ranking research is multidisciplinary, incorporating perspectives in Theoretical computer science and Set. The various areas that Eric Nyberg examines in his Information retrieval study include Information access and Selection.

He most often published in these fields:

  • Artificial intelligence (47.62%)
  • Natural language processing (39.29%)
  • Question answering (30.36%)

What were the highlights of his more recent work (between 2017-2021)?

  • Artificial intelligence (47.62%)
  • Question answering (30.36%)
  • Natural language processing (39.29%)

In recent papers he was focusing on the following fields of study:

The scientist’s investigation covers issues in Artificial intelligence, Question answering, Natural language processing, Domain and Inference. In the field of Artificial intelligence, his study on Language model and Ranking overlaps with subjects such as Structure and Set. Question answering is the subject of his research, which falls under Information retrieval.

His Natural language processing study integrates concerns from other disciplines, such as Rank and Utterance. His work in Domain covers topics such as Logical consequence which are related to areas like Domain knowledge. The study incorporates disciplines such as Ranking, Feature, Focus and Comprehension in addition to Inference.

Between 2017 and 2021, his most popular works were:

  • Towards Generalizable Neuro-Symbolic Systems for Commonsense Question Answering (20 citations)
  • Storyboarding of Recipes: Grounded Contextual Generation (19 citations)
  • Code-Mixed Question Answering Challenge: Crowd-sourcing Data and Techniques (13 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Linguistics
  • Programming language

His primary areas of investigation include Question answering, Artificial intelligence, Natural language processing, Domain and Knowledge resource. His biological study spans a wide range of topics, including Sentence, Hindi and Telugu. His Artificial intelligence research incorporates elements of Tamil and Machine learning.

The concepts of his Natural language processing study are interwoven with issues in Generalization and Utterance. His Domain research includes elements of Context, Baseline, Information needs, Pluralistic walkthrough and Finite-state machine. Eric Nyberg combines subjects such as Knowledge integration and Data science with his study of Knowledge resource.

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

Building Watson: An Overview of the DeepQA Project

David A. Ferrucci;Eric W. Brown;Jennifer Chu-Carroll;James Fan.
Ai Magazine (2010)

1764 Citations

Integrated authoring and translation system

Peggy M Anderson;Kathryn L Baker;Michael M Bauer;Nicholas D Brownlow.
(1993)

382 Citations

A Long Short-Term Memory Model for Answer Sentence Selection in Question Answering

Di Wang;Eric Nyberg.
international joint conference on natural language processing (2015)

302 Citations

Natural language processing system and method for parsing a plurality of input symbol sequences into syntactically or pragmatically correct word messages

Bruce R. Baker;Eric H. Nyberg.
(1993)

273 Citations

Metaphor Detection with Cross-Lingual Model Transfer

Yulia Tsvetkov;Leonid Boytsov;Anatole Gershman;Eric Nyberg.
meeting of the association for computational linguistics (2014)

200 Citations

The KANT system: fast, accurate, high-quality translation in practical domains

Eric H. Nyberg;Teruko Mitamura.
international conference on computational linguistics (1992)

159 Citations

An Efficient Interlingua Translation System for Multi-lingual Document Production

Teruko Mitamura;Eric H. Nyberg;Jaime G. Carbonell.
Proceedings of Machine Translation Summit III: Papers (1991)

155 Citations

Dynamic keyboard and method for dynamically redefining keys on a keyboard

Bruce R. Baker;Brian Yoder;David Hershberger;Barry Romich.
(1997)

131 Citations

Controlled English for Knowledge-Based MT: Experience with the KANT System

Teruko Mitamura;Eric H. Nyberg.
(2006)

123 Citations

Structured retrieval for question answering

Matthew W. Bilotti;Paul Ogilvie;Jamie Callan;Eric Nyberg.
international acm sigir conference on research and development in information retrieval (2007)

120 Citations

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Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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