Home › Entities › academia › Effective Inter-Clause Modeling for End-to-End Emotion-Cause Pair Extraction

Effective Inter-Clause Modeling for End-to-End Emotion-Cause Pair Extraction

Research article (Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020) · cited 133× · AI/ML
academia openalex:W3035327313
Press Enter · cited answer in seconds

Effective Inter-Clause Modeling for End-to-End Emotion-Cause Pair Extraction

Summary

Effective Inter-Clause Modeling for End-to-End Emotion-Cause Pair Extraction is a scholarly article[1].

Key Facts

  • Effective Inter-Clause Modeling for End-to-End Emotion-Cause Pair Extraction's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

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.

APA 4ort.xyz Knowledge Graph. (2026). Effective Inter-Clause Modeling for End-to-End Emotion-Cause Pair Extraction. Retrieved May 24, 2026, from https://4ort.xyz/entity/effective-inter-clause-modeling-for-end-to-end-emotion-cause-pair-extraction
MLA “Effective Inter-Clause Modeling for End-to-End Emotion-Cause Pair Extraction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/effective-inter-clause-modeling-for-end-to-end-emotion-cause-pair-extraction.
BibTeX @misc{4ortxyz_effective-inter-clause-modeling-for-end-to-end-emotion-cause-pair-extraction_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Effective Inter-Clause Modeling for End-to-End Emotion-Cause Pair Extraction}}, year = {2026}, url = {https://4ort.xyz/entity/effective-inter-clause-modeling-for-end-to-end-emotion-cause-pair-extraction}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Effective Inter-Clause Modeling for End-to-End Emotion-Cause Pair Extraction — https://4ort.xyz/entity/effective-inter-clause-modeling-for-end-to-end-emotion-cause-pair-extraction (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/effective-inter-clause-modeling-for-end-to-end-emotion-cause-pair-extraction · Last refreshed: