Automatically Generating Wikipedia Articles: A Structure-Aware Approach

By Christina Sauper, Regina Barzilay. 2009

196 citations recorded by the source corpus.

An apparatus for carrying out connection and disconnection of circuit member to an electrical connector has an inner frame for regulating a space for a circuit to be mounted, an outer frame, disposed outside the inner frame, for supporting the inner frame in such a manner as to move the inner frame in a predetermined direction only, a wedge member which is disposed between the outer frame and the inner frame in such a fashion as to be movable in a direction normal to the predetermined direction, and which moves the inner frame in the predetermined direction when the wedge member is moved, and a drive apparatus for externally driving the wedge member.

Subfields: Artificial Intelligence, Communication, Natural Language Processing, Generative Models

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Citations in the corpus

Generating Wikipedia by Summarizing Long Sequences (2018, background): “Comparison with Sauper & Barzilay (2009): A direct comparison with Sauper & Barzilay (2009) is difﬁcult for three reasons: (a) they report results only for two small subsets of Wikipedia, Diseases and American Actors; (b) we report on lead generation instead of full-articles; (c) we were unable to…”
BabelNet: The automatic construction, evaluation and application of a wide-coverage multilingual semantic network (2012, methodology): “Applications using the knowledge contained in Wikipedia include, among others, text categorization [40], computing semantic similarity of texts [40,107,80], coreference resolution [107], multi-document summarization [82], text generation [120] and simplification [132], and clustering web search quer”
Using natural language generation to bootstrap missing Wikipedia articles: A human-centric perspective (2022, background): “Sauper and Barzilay [76] and Pochampally et al.”
Evaluating Entity Linking with Wikipedia (2013, methodology): “It has been used for nlp tasks like automatic summarisation (Sauper and Barzilay, 2009; Woodsend and Lapata, 2011).”
Improving Event Extraction via Multimodal Integration (2017, background): “EE can facilitate various downstream Web-scale applications such as automatic chronicle generation [9] and Wikipedia article generation [34].”
A Survey of Text Summarization Techniques (2012, background): “Clustering similar section headings, where similarity is defined by cosine similarity for example, will identify the topics discussed in each type of article [80].”
Models and Datasets for Cross-Lingual Summarisation (2022, methodology): “1 Inspired by past research on monolingual descriptive summarisation (Sauper and Barzilay, 2009; Zopf, 2018; Liu et al., 2018; Liu and Lapata, 2019a; Perez-Beltrachini et al., 2019; Hayashi et al., 2021), we derive cross-”
Can Neural Generators for Dialogue Learn Sentence Planning and Discourse Structuring? (2018, background): “…content selection and linearization (Marcu, 1997; Lapata, 2003; Barzilay and Lapata, 2005), and trainable sentence planning for discourse structure and aggregation operations (Stent and Molina, 2009; Walker et al., 2007; Paiva and Evans, 2004; Sauper and Barzilay, 2009; H. Cheng and Mellish, 2001).”