Using Referring Expression Generation to Model Literary Style
Novels and short stories are not just remarkable because of what events they represent. The narrative style they employ is significant. To understand the specific contributions of different aspects of this style, it is possible to create limited symbolic models of narrating that hold almost all of the narrative discourse constant while varying a single aspect. In this paper we use a new implementation of a system for narrative discourse generation, Curveship, to change how existents at the story level are named. This by itself allows for the telling of the same underlying story in ways that evoke, for instance, a fabular or parable-like mode, the style of narrator Patrick Bateman in Brett Easton Ellis’s American Psycho, and the unusual dialect of Anthony Burgess’s A Clockwork Orange.
Code (0)
등록된 구현이 없습니다.
Tasks
modelReferring ExpressionReferring expression generationMethods 이 논문이 사용한 방법론
Similar Papers 제목 키워드 기반
Using Lexical Alignment and Referring Ability to Address Data Sparsity in Situated Dialog Reference Resolution
Referring to entities in situated dialog is a collaborative process, whereby interlocutors often expand, repair and/or replace referring expressions in an iterative process, converging on conceptual pacts of referring la…
Referring ExpressionThe Project Dialogism Novel Corpus: A Dataset for Quotation Attribution in Literary Texts
We present the Project Dialogism Novel Corpus, or PDNC, an annotated dataset of quotations for English literary texts. PDNC contains annotations for 35,978 quotations across 22 full-length novels, and is by an order of m…
Referring ExpressionPerspective-corrected Spatial Referring Expression Generation for Human-Robot Interaction
Intelligent robots designed to interact with humans in real scenarios need to be able to refer to entities actively by natural language. In spatial referring expression generation, the ambiguity is unavoidable due to the…
DiversityReferring ExpressionReferring expression generationRelationComprehension-guided referring expressions
We consider generation and comprehension of natural language referring expression for objects in an image. Unlike generic "image captioning" which lacks natural standard evaluation criteria, quality of a referring expres…
Referring ExpressionReferring expression generationA Joint Speaker-Listener-Reinforcer Model for Referring Expressions
Referring expressions are natural language constructions used to identify particular objects within a scene. In this paper, we propose a unified framework for the tasks of referring expression comprehension and generatio…
Referring ExpressionReferring Expression Comprehension