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arXiv Computation and Language By Muhammad Imran, Ana Ezquerro, Carlos G\'omez-Rodr\'iguez, Anders S{\o}gaard, David Vilares

Structured Sentiment Analysis Using Sequence Labeling as Dependency Graph Parsing

Read the original on arXiv Computation and Language →

The paper presents a method for structured sentiment analysis that constructs a fine‑grained sentiment graph with nodes for sentiment holders, targets, and expressions, and arcs for their relationships. It reframes the task as dependency graph parsing and solves it via sequence labeling, using linearized graph encodings to assign a label to each word. Experiments on seven datasets across five languages demonstrate that this approach achieves performance competitive with more complex single‑model methods.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computation and Language.

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