Constructing literature abstracts by computer: Techniques and prospects

By Chris D. Paice. 1990

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In Natural Language Processing

Citations in the corpus

Get To The Point: Summarization with Pointer-Generator Networks (2017, background): “Due to the difficulty of abstractive summarization, the great majority of past work has been extractive (Kupiec et al., 1995; Paice, 1990; Saggion and Poibeau, 2013).”
SUMMAC: a text summarization evaluation (2002, background): “This can be based on to what extent key information from the source is preserved in the system summary at different levels of compression (Paice 1990; Brandow, Mitze and Rau 1995).”
Mining and summarizing customer reviews (2004, background): “The passage extraction framework [e.g., 32, 25, 36] identifies certain segments of the text (typically sentences) that are the most representative of the document’s content.”
The Effect of Anaphor and Ellipsis Resolution on Proximity Searching in a Text Database (1996, background): “(1987) point out, that in IR-related systems, anaphoric resolution is needed in all systems based on semantic text representations, question-answering systems, systems analyzing the questions posed by information seekers (Johnson, 1994), automatic abstraction systems (Paice, 1990), and statistical I”
Advantages of query biased summaries in information retrieval (1998, methodology): “It was based on a number of sentence extraction methods (Paice 1990) that utilise information both from the documents of the collection and from the queries used.”
Learning Algorithms for Keyphrase Extraction (2000, methodology): “…explore the task of producing a summary of a document by extracting key sentences from the document (Luhn, 1958; Edmundson, 1969; Marsh et al., 1984; Paice, 1990; Paice and Jones, 1993; Johnson et al., 1993; Salton et al., 1994; Kupiec et al., 1995; Brandow et al., 1995; Jang and Myaeng, 1997).”
Multi-Document Summarization By Sentence Extraction (2000, methodology): “…recently, single document summarization systems provide an automated generic abstract or a queryrelevant summary (Tait, 1983; Kupiec et al., 1995; Paice, 1990; Klavans and Shaw, 1995; McKeown et al., 1995; Shaw, 1995; Aone et al., 1997; Boguraev and Kennedy, 1997; Hovy and Lin, 1997; Mitra et…”
Automatic Evaluation of Linguistic Quality in Multi-Document Summarization (2010, background): “In fact, early work in summarization (Paice, 1980; Paice, 1990) has pointed out that the presence of cohesive devices described in the previous section might in fact be the source of problems.”
Learning to Extract Keyphrases from Text (2002, unknown): “…explore the task of producing a summary of a document by extracting key sentences from the document (Luhn, 1958; Edmundson, 1969; Marsh et al., 1984; Paice, 1990; Paice and Jones, 1993; Johnson et al., 1993; Salton et al., 1994; Kupiec et al., 1995; Brandow et al., 1995; Jang and Myaeng, 1997).”
Articles Summarizing Scientific Articles: Experiments with Relevance and Rhetorical Status (2002, background): “Others are borrowed from the text extraction literature (Paice 1990) or related tasks and adapted to the problem of determining rhetorical status.”
Mining Opinion Features in Customer Reviews (2004, methodology): “The text extraction framework (Paice 1990; Kupiec, Pedersen, and Chen 1995; Hovy and Lin 1997) identifies some representative sentences to summarize the document.”