arXiv Open Access 2022

Direct parsing to sentiment graphs

David Samuel Jeremy Barnes Robin Kurtz Stephan Oepen Lilja Øvrelid +1 lainnya

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Abstrak

This paper demonstrates how a graph-based semantic parser can be applied to the task of structured sentiment analysis, directly predicting sentiment graphs from text. We advance the state of the art on 4 out of 5 standard benchmark sets. We release the source code, models and predictions.

Topik & Kata Kunci

cs.CL

Penulis (6)

David Samuel

Jeremy Barnes

Robin Kurtz

Stephan Oepen

Lilja Øvrelid

Erik Velldal

Format Sitasi

APA MLA BibTeX

Samuel, D., Barnes, J., Kurtz, R., Oepen, S., Øvrelid, L., Velldal, E. (2022). Direct parsing to sentiment graphs. https://arxiv.org/abs/2203.13209

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Informasi Jurnal

Tahun Terbit: 2022
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓