Identifying Personal Stories in Millions of Weblog Entries

By Andrew S. Gordon, Reid Swanson. 2009

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In Natural Language Processing

Citations in the corpus

A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories (2016, background): “Personal stories from daily weblogs are good sources of commonsense causal information (Gordon and Swan-a son, 2009; Manshadi et al., 2008), but teasing out useful information from noisy blog entries is a problem of its own.”
Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning (2019, background): “We gather a diverse collection of everyday situations from a corpus of personal narratives (Gordon and Swanson, 2009) from the Spinn3r Blog Dataset (Burton et al., 2009).”
XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning (2020, background): “The scenarios included in COPA refer to events that took place in the past and are formulated in what can be described as a narrative register (one of the sources from which question topics were drawn was a corpus of personal stories published online (Gordon and Swanson, 2009)).”
Choice of Plausible Alternatives: An Evaluation of Commonsense Causal Reasoning (2011, background): “First, topics were drawn from randomly selected entries in a corpus of one million personal stories written in Internet weblogs in August and September of 2008 (Gordon & Swanson, 2009).”
Identiﬁcation and Characterization of Newsworthy Verbs in World News (methodology): “For this purpose, we used a subset of the ICWSM 2009 Spinn3r Blog Dataset that has been annotated with a semi-supervised classiﬁer trained to identify personal stories (Gordon and Swanson, 2009).”
Commonsense Causal Reasoning Using Millions of Personal Stories (2011, methodology): “This new pipeline closely followed the design used by Gordon & Swanson (2009) to create the corpus of nearly one million stories, where supervised machine learning techniques were used to identify personal stories in a stream of English-language weblog posts.”