The discourse-level structure of empirical abstracts: an exploratory study
By Elizabeth Du, Ross Liddy. 1991
Subfields: Natural Language Processing, Computational Linguistics & Semantics
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Natural Language Processing
- Jianfeng Gao
- Michel Galley
- Chris Brockett
- Yizhe Zhang
- Xiujun Li
- Jason Aaron Edward Weston
- Minlie Huang
- William B. Dolan
In Computational Linguistics & Semantics
- Inderjeet Mani
- Thierry Poibeau
- Jianfeng Gao
- Barbara Gates
- Marc Moens
- Simone Teufel
- Eric E. Bloedorn
- Horacio Saggion
Citations in the corpus
- Towards Coherent and Cohesive Long-form Text Generation (2018, background): “…and other forms of coherence and cohesion relations and their quantifi-cation (Edmundson, 1969; Halliday and Hasan, 1976; Hobbs, 1985; McKeown, 1985; Cohen and Levesque, 1985; Hovy, 1988; Liddy, 1991; Hovy, 1991; Mani et al., 1998; Cristea et al., 1998; Barzi-lay and Lapata, 2008; Van Dijk, 2013).”
- Automatic Text Summarization: Past, Present and Future (2013, methodology): “In [29], a full model of summaries of empirical research was developed with 36 information types organized in a three-level hierarchy.”
- Articles Summarizing Scientific Articles: Experiments with Relevance and Rhetorical Status (2002, background): “This heterogeneity is in stark contrast to the systematic structures Liddy (1991) found to be produced by professional abstractors.”
- Using Cohesion and Coherence Models for Text Summarization (1998, methodology): “Models based on coherence (Mann and Thompson 1988), ( Liddy 1991 ), Dijk 1988), on the other hand, represent the overall structure of a multi-sentence text in terms of macrolevel relations between clauses (though in some accounts, the elementary text units may be smaller than a clause) or sentences.”