Landing Propp in Interaction Space: First Steps Toward Scalable Open Domain Narrative Analysis With Predication-based Semantic Indexing

• In this paper, we explore the possibility of applying high-dimensionalvector representations of concept-relation-concept triplets, which have been successfullyapplied to model a small set of relationship types in the biomedicaldomain, to the task of modeling folk tales. In doing so, our ultimate aim is todevelop representations of narratives through which their underlying structurecan be compared. The current paper describes our progress toward this aim, withemphasis on addressing the technical challenges involved in moving from therelatively constrained set of relations that have been extracted from biomedicaltext to the much larger set of unnormalized relations that have been extractedfrom the open domain. A toy example using graded vectors demonstrates that ourapproach will be feasible once more material will be added to the test collection.

Ämnesord

HUMANIORA  -- Annan humaniora -- Etnologi (hsv//swe)

HUMANITIES  -- Other Humanities -- Ethnology (hsv//eng)

NATURVETENSKAP  -- Data- och informationsvetenskap -- Annan data- och informationsvetenskap (hsv//swe)

NATURAL SCIENCES  -- Computer and Information Sciences -- Other Computer and Information Science (hsv//eng)

Nyckelord

folktales

narrative analysis

formal models

Propp

predication based semantic indexing

semantic space

distributional semantics

Vector Symbolic Architectures

Library and Information Science

Biblioteks- och informationsvetenskap

Publikations- och innehållstyp

ref (ämneskategori)

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