Towards Incremental Parsing of Natural Language Using Recursive Neural Networks

By Fabrizio Costa, Paolo Frasconi, Vincenzo Lombardo, Giovanni Soda. 2003

65 citations recorded by the source corpus.

Subfields: Artificial Intelligence, 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. Mohit Bansal
2. Richard Socher
3. Christopher D. Manning
4. Caiming Xiong
5. Jianfeng Gao
6. Quoc V. Le
7. Percy Liang
8. Luke S. Zettlemoyer

In Natural Language Processing

1. Richard Socher
2. Christopher D. Manning
3. Mohit Bansal
4. Caiming Xiong
5. Yoav Goldberg
6. Jianfeng Gao
7. Quoc V. Le
8. Mirella Lapata

Citations in the corpus

• Grounded Compositional Semantics for Finding and Describing Images with Sentences (2014, methodology): “Our model for mapping sentences into this space is based on ideas from Recursive Neural Networks (RNNs) (Pollack, 1990; Costa et al., 2003; Socher et al., 2011b).”
• Parsing with Compositional Vector Grammars (2013, methodology): “Therefore we combine syntactic and semantic information by giving the parser access to rich syntacticosemantic information in the form of distributional word vectors and compute compositional semantic vector representations for longer phrases (Costa et al., 2003; Menchetti et al., 2005; Socher et al”