Matches in SemOpenAlex for { <https://semopenalex.org/work/W4385571707> ?p ?o ?g. }
Showing items 1 to 63 of
63
with 100 items per page.
- W4385571707 abstract "Effective argumentation is essential towards a purposeful conversation with a satisfactory outcome. For example, persuading someone to reconsider smoking might involve empathetic, well founded arguments based on facts and expert opinions about its ill-effects and the consequences on one’s family. However, the automatic generation of high-quality factual arguments can be challenging. Addressing existing controllability issues can make the recent advances in computational models for argument generation a potential solution. In this paper, we introduce ArgU: a neural argument generator capable of producing factual arguments from input facts and real-world concepts that can be explicitly controlled for stance and argument structure using Walton’s argument scheme-based control codes. Unfortunately, computational argument generation is a relatively new field and lacks datasets conducive to training. Hence, we have compiled and released an annotated corpora of 69,428 arguments spanning six topics and six argument schemes, making it the largest publicly available corpus for identifying argument schemes; the paper details our annotation and dataset creation framework. We further experiment with an argument generation strategy that establishes an inference strategy by generating an “argument template” before actual argument generation. Our results demonstrate that it is possible to automatically generate diverse arguments exhibiting different inference patterns for the same set of facts by using control codes based on argument schemes and stance." @default.
- W4385571707 created "2023-08-05" @default.
- W4385571707 creator A5028315481 @default.
- W4385571707 creator A5063869451 @default.
- W4385571707 date "2023-01-01" @default.
- W4385571707 modified "2023-09-24" @default.
- W4385571707 title "ArgU: A Controllable Factual Argument Generator" @default.
- W4385571707 doi "https://doi.org/10.18653/v1/2023.acl-long.466" @default.
- W4385571707 hasPublicationYear "2023" @default.
- W4385571707 type Work @default.
- W4385571707 citedByCount "0" @default.
- W4385571707 crossrefType "proceedings-article" @default.
- W4385571707 hasAuthorship W4385571707A5028315481 @default.
- W4385571707 hasAuthorship W4385571707A5063869451 @default.
- W4385571707 hasBestOaLocation W43855717071 @default.
- W4385571707 hasConcept C111472728 @default.
- W4385571707 hasConcept C121332964 @default.
- W4385571707 hasConcept C138885662 @default.
- W4385571707 hasConcept C154945302 @default.
- W4385571707 hasConcept C163258240 @default.
- W4385571707 hasConcept C185592680 @default.
- W4385571707 hasConcept C2776214188 @default.
- W4385571707 hasConcept C2777200299 @default.
- W4385571707 hasConcept C2780992000 @default.
- W4385571707 hasConcept C41008148 @default.
- W4385571707 hasConcept C41895202 @default.
- W4385571707 hasConcept C55493867 @default.
- W4385571707 hasConcept C62520636 @default.
- W4385571707 hasConcept C65059942 @default.
- W4385571707 hasConcept C72196577 @default.
- W4385571707 hasConcept C98184364 @default.
- W4385571707 hasConceptScore W4385571707C111472728 @default.
- W4385571707 hasConceptScore W4385571707C121332964 @default.
- W4385571707 hasConceptScore W4385571707C138885662 @default.
- W4385571707 hasConceptScore W4385571707C154945302 @default.
- W4385571707 hasConceptScore W4385571707C163258240 @default.
- W4385571707 hasConceptScore W4385571707C185592680 @default.
- W4385571707 hasConceptScore W4385571707C2776214188 @default.
- W4385571707 hasConceptScore W4385571707C2777200299 @default.
- W4385571707 hasConceptScore W4385571707C2780992000 @default.
- W4385571707 hasConceptScore W4385571707C41008148 @default.
- W4385571707 hasConceptScore W4385571707C41895202 @default.
- W4385571707 hasConceptScore W4385571707C55493867 @default.
- W4385571707 hasConceptScore W4385571707C62520636 @default.
- W4385571707 hasConceptScore W4385571707C65059942 @default.
- W4385571707 hasConceptScore W4385571707C72196577 @default.
- W4385571707 hasConceptScore W4385571707C98184364 @default.
- W4385571707 hasLocation W43855717071 @default.
- W4385571707 hasOpenAccess W4385571707 @default.
- W4385571707 hasPrimaryLocation W43855717071 @default.
- W4385571707 hasRelatedWork W2077815492 @default.
- W4385571707 hasRelatedWork W2098459721 @default.
- W4385571707 hasRelatedWork W2143080384 @default.
- W4385571707 hasRelatedWork W2189861499 @default.
- W4385571707 hasRelatedWork W2297989531 @default.
- W4385571707 hasRelatedWork W2392423086 @default.
- W4385571707 hasRelatedWork W2981889466 @default.
- W4385571707 hasRelatedWork W3125673773 @default.
- W4385571707 hasRelatedWork W933544551 @default.
- W4385571707 hasRelatedWork W3141571951 @default.
- W4385571707 isParatext "false" @default.
- W4385571707 isRetracted "false" @default.
- W4385571707 workType "article" @default.