A Template-Based Approach Toward Acquisition of Logical Sentences

By Chih-Sheng Johnson Hou, Natasha Noy, Mark A. Musen. 2002

16 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Development, Natural Language Processing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Li Fei-Fei
2. Mohit Bansal
3. Trevor Darrell
4. Yuke Zhu
5. Ranjay Krishna
6. Justin Johnson
7. Li-Jia Li
8. Devi Parikh

In Natural Language Processing

1. Li Fei-Fei
2. Justin Johnson
3. Yuke Zhu
4. Ranjay Krishna
5. Li-Jia Li
6. Michael S. Bernstein
7. Yannis Kalantidis
8. Kenji Hata

Citations in the corpus

• Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations (2016, methodology): “As a model trained on other datasets would generate complete sentences and would not be comparable (Chen et al., 2015) to our region descriptions, we convert all region descriptions generated by our model into complete sentences using predefined templates (Hou et al., 2002).”