Home ›
Entities
› academia
› Which argument is more convincing? Analyzing and predicting convincingness of Web arguments using bidirectional LSTM
Which argument is more convincing? Analyzing and predicting convincingness of Web arguments using bidirectional LSTM
Research article (Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2016) · cited 197× · AI/ML
Which argument is more convincing? Analyzing and predicting convincingness of Web arguments using bidirectional LSTM
Summary
Which argument is more convincing? Analyzing and predicting convincingness of Web arguments using bidirectional LSTM is a scholarly article[1].
Key Facts
Which argument is more convincing? Analyzing and predicting convincingness of Web arguments using bidirectional LSTM's instance of is recorded as scholarly article[2].
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Which argument is more convincing? Analyzing and predicting convincingness of Web arguments using bidirectional LSTM. Retrieved May 24, 2026, from https://4ort.xyz/entity/which-argument-is-more-convincing-analyzing-and-predicting-convincingness-of-web-arguments-using-bidirectional-lstm
MLA“Which argument is more convincing? Analyzing and predicting convincingness of Web arguments using bidirectional LSTM.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/which-argument-is-more-convincing-analyzing-and-predicting-convincingness-of-web-arguments-using-bidirectional-lstm.
BibTeX@misc{4ortxyz_which-argument-is-more-convincing-analyzing-and-predicting-convincingness-of-web-arguments-using-bidirectional-lstm_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Which argument is more convincing? Analyzing and predicting convincingness of Web arguments using bidirectional LSTM}}, year = {2026}, url = {https://4ort.xyz/entity/which-argument-is-more-convincing-analyzing-and-predicting-convincingness-of-web-arguments-using-bidirectional-lstm}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Which argument is more convincing? Analyzing and predicting convincingness of Web arguments using bidirectional LSTM — https://4ort.xyz/entity/which-argument-is-more-convincing-analyzing-and-predicting-convincingness-of-web-arguments-using-bidirectional-lstm (retrieved 2026-05-24)
