Identifying Narrative Clause Types in Personal Stories

Swanson, Reid; Rahimtoroghi, Elahe; Corcoran, Thomas; Walker, Marilyn A.

doi:10.3115/v1/w14-4323

Cited by 25 publications

(53 citation statements)

References 28 publications

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“…The formality of language can vary even within one blog post. As one example of the challenges of language, Swanson et al analysed 50 personal stories drawn from 5000 posts taken from 44 M articles . They used three annotators and achieved an annotator agreement of 0.58.…”

Section: Challenges Of Using Blog‐like Documentsmentioning

confidence: 99%

“…They used three annotators and achieved an annotator agreement of 0.58. Swanson et al state, “… the annotation task is highly subjective, requiring interpreting the narrative and the author's intention, which prevents us from obtaining high levels of inter‐rater agreement.”, p175. They also observe earlier in their paper that a previous study found both a high level of annotator agreement and an extremely high machine learning accuracy for Aesop's Fables.…”

Section: Challenges Of Using Blog‐like Documentsmentioning

confidence: 99%

“…They also observe earlier in their paper that a previous study found both a high level of annotator agreement and an extremely high machine learning accuracy for Aesop's Fables. Swanson et al infer that the “classical,” written‐down stories are therefore easier to work with than blog posts.…”

Section: Challenges Of Using Blog‐like Documentsmentioning

confidence: 99%

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Using blog‐like documents to investigate software practice: Benefits, challenges, and research directions

Rainer

Williams

2019

J Software Evolu Process

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Background An emerging body of research is using grey literature to investigate software practice. One frequently occurring type of grey literature is the blog post. Whilst there are prospective benefits to using grey literature and blog posts to investigate software practice, there are also concerns about the quality of such material.Objectives To identify and describe the benefits and challenges to using blog-like content to investigate software practice, and to scope directions for further research. MethodsWe conduct a review of previous research, mainly within software engineering, to identify benefits, challenges, and directions and use that review to complement our experiences of using blog posts in research. Results and ConclusionWe identify and organise benefits and challenges of using blog-like documents in software engineering research. We develop a definition of the type of blog-like document that should be of (more) value to software engineering researchers. We identify and scope several directions in which to progress research into and with blog-like documents.We discuss similarities and differences in secondary and primary studies that use blog-like documents and similarities and differences between the use of blog-like documents and the use of already established research methods, eg, interview and survey.

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Section: Challenges Of Using Blog‐like Documentsmentioning

confidence: 99%

Section: Challenges Of Using Blog‐like Documentsmentioning

confidence: 99%

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Using blog‐like documents to investigate software practice: Benefits, challenges, and research directions

Rainer

Williams

2019

J Software Evolu Process

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“…(5) And when I thought the night was over (and the doorman of the club did insist it was over) I met this great guy going into the subway. Figure 2: A desire expression with its surrounding context extracted from a personal narrative structure (Lehnert, 1981;Wilensky, 1982) and story understanding (Rahimtoroghi et al, 2016;Swanson et al, 2014;McKeown, 2015, 2014). However there has been limited work on computational models for recognizing the expression of the protagonist's goals and desires in narrative genres.…”

Section: Related Workmentioning

confidence: 99%

Modelling Protagonist Goals and Desires in First-Person Narrative

Rahimtoroghi

Wang³

et al. 2017

Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue

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Many genres of natural language text are narratively structured, a testament to our predilection for organizing our experiences as narratives. There is broad consensus that understanding a narrative requires identifying and tracking the goals and desires of the characters and their narrative outcomes. However, to date, there has been limited work on computational models for this problem. We introduce a new dataset, DesireDB, which includes goldstandard labels for identifying statements of desire, textual evidence for desire fulfillment, and annotations for whether the stated desire is fulfilled given the evidence in the narrative context. We report experiments on tracking desire fulfillment using different methods, and show that LSTM Skip-Thought model achieves F-measure of 0.7 on our corpus.

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“…Additionally, identifying Labov's Actions is a problem of detecting causal and temporal relations among events; identifying the MRE is a problem of measuring how impactful and shocking an event is. Swanson et al (2014) used 50 stories, which were annotated with an extended label set by three annotators, and each of the 1,602 clauses was assigned the label given by the majority of annotators. The extended label set was then mapped to Labov and Waletzky's three labels.…”

Section: Related Workmentioning

confidence: 99%

Modeling Reportable Events as Turning Points in Narrative

Ouyang

McKeown

2015

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing

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We present novel experiments in modeling the rise and fall of story characteristics within narrative, leading up to the Most Reportable Event (MRE), the compelling event that is the nucleus of the story. We construct a corpus of personal narratives from the bulletin board website Reddit, using the organization of Reddit content into topic-specific communities to automatically identify narratives. Leveraging the structure of Reddit comment threads, we automatically label a large dataset of narratives. We present a change-based model of narrative that tracks changes in formality, affect, and other characteristics over the course of a story, and we use this model in distant supervision and selftraining experiments that achieve significant improvements over the baselines at the task of identifying MREs.

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Identifying Narrative Clause Types in Personal Stories

Abstract: This paper describes work on automatically identifying categories of narrative clauses in personal stories written by ordinary people about their daily lives and experiences.

Cited by 25 publications

References 28 publications

Using blog‐like documents to investigate software practice: Benefits, challenges, and research directions

Using blog‐like documents to investigate software practice: Benefits, challenges, and research directions

Modelling Protagonist Goals and Desires in First-Person Narrative

Modeling Reportable Events as Turning Points in Narrative

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