Integrating Decompositional Event Structures into Storylines

2017-08-01 · WS 2017 8 · William Croft, Pavl{\'\i}na Pe{\v{s}}kov{\'a}, Michael Regan

Storyline research links together events in stories and specifies shared participants in those stories. In these analyses, an atomic event is assumed to be a single clause headed by a single verb. However, many analyses of verbal semantics assume a decompositional analysis of events expressed in single clauses. We present a formalization of a decompositional analysis of events in which each participant in a clausal event has their own temporally extended subevent, and the subevents are related through causal and other interactions. This decomposition allows us to represent storylines as an evolving set of interactions between participants over time.

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Universal Decompositional Semantic Parsing

2019-10-22 · ACL 2020 6 · Elias Stengel-Eskin, Aaron Steven White, Sheng Zhang, Benjamin Van Durme

We introduce a transductive model for parsing into Universal Decompositional Semantics (UDS) representations, which jointly learns to map natural language utterances into UDS graph structures and annotate the graph with …

Attribute Prediction Semantic Parsing

Go Back in Time: Generating Flashbacks in Stories with Event Temporal Prompts

2022-05-04 · NAACL 2022 7 · Rujun Han, Hong Chen, Yufei Tian, Nanyun Peng

Stories or narratives are comprised of a sequence of events. To compose interesting stories, professional writers often leverage a creative writing technique called flashback that inserts past events into current storyli…

Diversity

Nonparametric Bayesian Storyline Detection from Microtexts

2016-01-18 · WS 2016 11 · Vinodh Krishnan, Jacob Eisenstein

News events and social media are composed of evolving storylines, which capture public attention for a limited period of time. Identifying storylines requires integrating temporal and linguistic information, and prior wo…

Clustering Retrieval

Neural Storyline Extraction Model for Storyline Generation from News Articles

2018-06-01 · NAACL 2018 6 · Deyu Zhou, Linsen Guo, Yulan He

Storyline generation aims to extract events described on news articles under a certain news topic and reveal how those events evolve over time. Most approaches to storyline generation first train supervised models to ext…

Articles Topic Models

The Universal Decompositional Semantics Dataset and Decomp Toolkit

2019-09-30 · LREC 2020 5 · Aaron Steven White, Elias Stengel-Eskin, Siddharth Vashishtha, Venkata Govindarajan 외

We present the Universal Decompositional Semantics (UDS) dataset (v1.0), which is bundled with the Decomp toolkit (v0.1). UDS1.0 unifies five high-quality, decompositional semantics-aligned annotation sets within a singl…