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).
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.
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Improving Distributional Similarity with Lessons Learned from Word Embeddings
Omer Levy;Yoav Goldberg;Ido Dagan.
Transactions of the Association for Computational Linguistics (2015)
The PASCAL Recognising Textual Entailment Challenge
Ido Dagan;Oren Glickman;Bernardo Magnini.
Lecture Notes in Computer Science (2006)
Knowledge discovery in Textual Databases (KDT)
Ronen Feldman;Ido Dagan.
knowledge discovery and data mining (1995)
The Third PASCAL Recognizing Textual Entailment Challenge
Danilo Giampiccolo;Bernardo Magnini;Ido Dagan;Bill Dolan.
meeting of the association for computational linguistics (2007)
Committee-based sampling for training probabilistic classifiers
Ido Dagan;Sean P. Engelson.
international conference on machine learning (1995)
The Seventh PASCAL Recognizing Textual Entailment Challenge.
Luisa Bentivogli;Peter Clark;Ido Dagan;Danilo Giampiccolo.
Theory and Applications of Categories (2008)
Similarity-Based Models of Word Cooccurrence Probabilities
Ido Dagan;Lillian Lee;Fernando C. N. Pereira.
Machine Learning (1999)
context2vec: Learning Generic Context Embedding with Bidirectional LSTM
Oren Melamud;Jacob Goldberger;Ido Dagan.
conference on computational natural language learning (2016)
Word sense disambiguation using a second language monolingual corpus
Ido Dagan;Alon Itai.
Computational Linguistics (1994)
Termight: Identifying and Translating Technical Terminology
Ido Dagan;Ken Church.
conference on applied natural language processing (1994)
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