D-Index & Metrics Best Publications

Ido Dagan

Bar-Ilan University
Israel

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 Citations Publications World Ranking National Ranking

Computer Science D-index 59 Citations 17,811 245 World Ranking 2209 National Ranking 43

Overview

What is he best known for?

The fields of study Ido Dagan is best known for:

Natural language processing
Computational linguistics
Artificial intelligence

Within one scientific family, Ido Dagan focuses on topics pertaining to Task (project management) under Systems engineering, and may sometimes address concerns connected to Management. Much of his study explores Management relationship to Task (project management). His work on Geometry is being expanded to include thematically relevant topics such as Word (group theory) and Reduction (mathematics). His Geometry research extends to Reduction (mathematics), which is thematically connected. He combines Artificial intelligence and Data science in his research. Borrowing concepts from Artificial intelligence, Ido Dagan weaves in ideas under Data science. His Sentence research extends to Natural language processing, which is thematically connected. As part of his studies on Programming language, he often connects relevant areas like Pascal (unit). His Image (mathematics) study frequently links to related topics such as Similarity (geometry).

His most cited work include:

Improving Distributional Similarity with Lessons Learned from Word Embeddings (1043 citations)
The Seventh PASCAL Recognizing Textual Entailment Challenge. (499 citations)
Committee-Based Sampling For Training Probabilistic Classifiers (369 citations)

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

Many of his studies on Programming language apply to Set (abstract data type) and Pascal (unit) as well. His research on Set (abstract data type) often connects related topics like Programming language. While working on this project, he studies both Artificial intelligence and Data mining. He combines Data mining and Artificial intelligence in his studies. His Textual entailment research extends to the thematically linked field of Logical consequence. His Linguistics study frequently draws parallels with other fields, such as Word (group theory). His studies link Linguistics with Word (group theory). He merges Machine learning with Natural language processing in his research. By researching both Information retrieval and Natural language processing, Ido Dagan produces research that crosses academic boundaries.

Ido Dagan most often published in these fields:

Artificial intelligence (98.08%)
Natural language processing (84.62%)
Programming language (36.54%)

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

Improving Distributional Similarity with Lessons Learned from Word Embeddings

Omer Levy;Yoav Goldberg;Ido Dagan.
Transactions of the Association for Computational Linguistics (2015)

1545 Citations

The PASCAL Recognising Textual Entailment Challenge

Ido Dagan;Oren Glickman;Bernardo Magnini.
Lecture Notes in Computer Science (2006)

1381 Citations

Knowledge discovery in Textual Databases (KDT)

Ronen Feldman;Ido Dagan.
knowledge discovery and data mining (1995)

967 Citations

The Third PASCAL Recognizing Textual Entailment Challenge

Danilo Giampiccolo;Bernardo Magnini;Ido Dagan;Bill Dolan.
meeting of the association for computational linguistics (2007)

898 Citations

Committee-based sampling for training probabilistic classifiers

Ido Dagan;Sean P. Engelson.
international conference on machine learning (1995)

625 Citations

The Seventh PASCAL Recognizing Textual Entailment Challenge.

Luisa Bentivogli;Peter Clark;Ido Dagan;Danilo Giampiccolo.
Theory and Applications of Categories (2008)

599 Citations

Similarity-Based Models of Word Cooccurrence Probabilities

Ido Dagan;Lillian Lee;Fernando C. N. Pereira.
Machine Learning (1999)

591 Citations

context2vec: Learning Generic Context Embedding with Bidirectional LSTM

Oren Melamud;Jacob Goldberger;Ido Dagan.
conference on computational natural language learning (2016)

472 Citations

Word sense disambiguation using a second language monolingual corpus

Ido Dagan;Alon Itai.
Computational Linguistics (1994)

456 Citations

Termight: Identifying and Translating Technical Terminology

Ido Dagan;Ken Church.
conference on applied natural language processing (1994)

403 Citations

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Ido Dagan

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.

Overview

What is he best known for?

The fields of study Ido Dagan is best known for:

His most cited work include:

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

Ido Dagan most often published in these fields:

Best Publications

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