NASTEA: Investigating Narrative Schemas through Annotated Entities

نویسندگان

  • Dan Simonson
  • Anthony Davis
چکیده

In this paper, we investigate the distribution of narrative schemas (Chambers and Jurafsky, 2009) throughout different document categories and how the structure of narrative schemas is conditioned by document category, the converse of the relationship explored in Simonson and Davis (2015). We evaluate cross-category narrative differences by assessing the predictability of verbs in each category and the salience of arguments to events that narrative schemas highlight. For the former, we use the narrative cloze task employed in previous work on schemas. For the latter, we introduce a task that employs narrative schemas called narrative argument salience through entities annotated, or NASTEA. We compare the schemas induced from the entire corpus to those from the subcorpora for each topic using these two types of evaluation. Results of each evaluation vary by each topical subcorpus, in some cases showing improvement, but the NASTEA task additionally reveals that some the documents within some topics are significantly more rigid in their narrative structure, instantiating a limited number of schemas in a highly predictable fashion.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Investigating the structural relationship between attachment styles and childhood trauma with a tendency to extramarital relationships: The mediating role of emotional schemas

The aim of this study was to investigate the mediating role of emotional schemas in the relationship between attachment styles and childhood trauma with a tendency to extramarital relationships. The research method was descriptive-correlational. The statistical population of the present study consisted of all married students of Guilan University in the academic year 1399-1400, which included 2...

متن کامل

A Database of Narrative Schemas

This paper describes a new language resource of events and semantic roles that characterize real-world situations. Narrative schemas contain sets of related events (edit and publish), a temporal ordering of the events (edit before publish), and the semantic roles of the participants (authors publish books). This type of world knowledge was central to early research in natural language understan...

متن کامل

Automatic Recommendations of Categories for Geospatial Entities

Over the last years, thanks to Open Data initiative and the Semantic Web, there has been a vast increase on user contributed data. In several cases (e.g. OpenStreetMap, Geonames), the respective data include geospatial information, that is the coordinates and/or the precise geometries of buildings, roads, areas, etc. In such cases, proper schemas are defined to allow users to annotate the entit...

متن کامل

Interactions between Narrative Schemas and Document Categories

The unsupervised extraction of narrative schemas—sets of events with associated argument chains—has been explored and evaluated from many angles (Chambers and Jurafsky, 2009; Jans et al. 2012; Balasubramanian et al., 2013; Pichotta and Mooney 2014). While the extraction process and evaluation of the products has been well-researched and debated, little insight has been garnered on properties of...

متن کامل

Generating Plots for a Given Query Using a Case-Base of Narrative Schemas

Computational generation of literary artifacts very often resorts to template-like schemas that can be instantiated into complex structures. With this view in mind, the present paper presents a casebased reasoning solution that builds a plot line to match a given query, expressed in terms of a sequence of abstraction of plot-bearing elements of a story, by retrieving and adapting templates for ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2016