Matches in SemOpenAlex for { <https://semopenalex.org/work/W4385570638> ?p ?o ?g. }
Showing items 1 to 73 of
73
with 100 items per page.
- W4385570638 abstract "News reports about emerging issues often include several conflicting story lines. Individual stories can be conceptualized as samples from an underlying mixture of competing narratives. The automated identification of these distinct narratives from unstructured text is a fundamental yet difficult task in Computational Linguistics since narratives are often intertwined and only implicitly conveyed in text. In this paper, we consider a more feasible proxy task: Identify the distinct sets of aligned story actors responsible for sustaining the issue-specific narratives. Discovering aligned actors, and the groups these alignments create, brings us closer to estimating the narrative that each group represents. With the help of Large Language Models (LLM), we address this task by: (i) Introducing a corpus of text segments rich in narrative content associated with six different current issues; (ii) Introducing a novel two-step graph-based framework that (a) identifies alignments between actors (INCANT) and (b) extracts aligned actor groups using the network structure (TAMPA). Amazon Mechanical Turk evaluations demonstrate the effectiveness of our framework. Across domains, alignment relationships from INCANT are accurate (macro F1 >= 0.75) and actor groups from TAMPA are preferred over 2 non-trivial baseline models (ACC >= 0.75)." @default.
- W4385570638 created "2023-08-05" @default.
- W4385570638 creator A5010364940 @default.
- W4385570638 creator A5037673211 @default.
- W4385570638 creator A5043479061 @default.
- W4385570638 creator A5057287572 @default.
- W4385570638 date "2023-01-01" @default.
- W4385570638 modified "2023-09-24" @default.
- W4385570638 title "My side, your side and the evidence: Discovering aligned actor groups and the narratives they weave" @default.
- W4385570638 doi "https://doi.org/10.18653/v1/2023.acl-long.497" @default.
- W4385570638 hasPublicationYear "2023" @default.
- W4385570638 type Work @default.
- W4385570638 citedByCount "0" @default.
- W4385570638 crossrefType "proceedings-article" @default.
- W4385570638 hasAuthorship W4385570638A5010364940 @default.
- W4385570638 hasAuthorship W4385570638A5037673211 @default.
- W4385570638 hasAuthorship W4385570638A5043479061 @default.
- W4385570638 hasAuthorship W4385570638A5057287572 @default.
- W4385570638 hasBestOaLocation W43855706381 @default.
- W4385570638 hasConcept C116834253 @default.
- W4385570638 hasConcept C119857082 @default.
- W4385570638 hasConcept C12725497 @default.
- W4385570638 hasConcept C127413603 @default.
- W4385570638 hasConcept C138885662 @default.
- W4385570638 hasConcept C154945302 @default.
- W4385570638 hasConcept C155092808 @default.
- W4385570638 hasConcept C17744445 @default.
- W4385570638 hasConcept C199033989 @default.
- W4385570638 hasConcept C199539241 @default.
- W4385570638 hasConcept C201995342 @default.
- W4385570638 hasConcept C204321447 @default.
- W4385570638 hasConcept C2522767166 @default.
- W4385570638 hasConcept C2780148112 @default.
- W4385570638 hasConcept C2780451532 @default.
- W4385570638 hasConcept C41008148 @default.
- W4385570638 hasConcept C41895202 @default.
- W4385570638 hasConcept C59822182 @default.
- W4385570638 hasConcept C86803240 @default.
- W4385570638 hasConceptScore W4385570638C116834253 @default.
- W4385570638 hasConceptScore W4385570638C119857082 @default.
- W4385570638 hasConceptScore W4385570638C12725497 @default.
- W4385570638 hasConceptScore W4385570638C127413603 @default.
- W4385570638 hasConceptScore W4385570638C138885662 @default.
- W4385570638 hasConceptScore W4385570638C154945302 @default.
- W4385570638 hasConceptScore W4385570638C155092808 @default.
- W4385570638 hasConceptScore W4385570638C17744445 @default.
- W4385570638 hasConceptScore W4385570638C199033989 @default.
- W4385570638 hasConceptScore W4385570638C199539241 @default.
- W4385570638 hasConceptScore W4385570638C201995342 @default.
- W4385570638 hasConceptScore W4385570638C204321447 @default.
- W4385570638 hasConceptScore W4385570638C2522767166 @default.
- W4385570638 hasConceptScore W4385570638C2780148112 @default.
- W4385570638 hasConceptScore W4385570638C2780451532 @default.
- W4385570638 hasConceptScore W4385570638C41008148 @default.
- W4385570638 hasConceptScore W4385570638C41895202 @default.
- W4385570638 hasConceptScore W4385570638C59822182 @default.
- W4385570638 hasConceptScore W4385570638C86803240 @default.
- W4385570638 hasLocation W43855706381 @default.
- W4385570638 hasOpenAccess W4385570638 @default.
- W4385570638 hasPrimaryLocation W43855706381 @default.
- W4385570638 hasRelatedWork W2081647779 @default.
- W4385570638 hasRelatedWork W2128634877 @default.
- W4385570638 hasRelatedWork W2390910209 @default.
- W4385570638 hasRelatedWork W2395078704 @default.
- W4385570638 hasRelatedWork W2740338466 @default.
- W4385570638 hasRelatedWork W2789919619 @default.
- W4385570638 hasRelatedWork W2949588086 @default.
- W4385570638 hasRelatedWork W3037322406 @default.
- W4385570638 hasRelatedWork W4294661698 @default.
- W4385570638 hasRelatedWork W4319453497 @default.
- W4385570638 isParatext "false" @default.
- W4385570638 isRetracted "false" @default.
- W4385570638 workType "article" @default.