Towards Robust Semantic Role Labeling by Sameer S. Pradhan, Wayne Ward, James H. Martin

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Tree Kernels for Semantic Role Labeling by Alessandro Moschitti, Daniele Pighin, Roberto Basili

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Semantic Role Labeling: An Introduction to the Special Issue by Lluís Màrquez, Xavier Carreras, Kenneth C. Litkowski, Suzanne Stevenson

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Context-aware Frame-Semantic Role Labeling by Michael Roth, Mirella Lapata

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Semantic Role Labeling of Implicit Arguments for Nominal Predicates by Matthew Gerber, Joyce Chai

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A Global Joint Model for Semantic Role Labeling by Kristina Toutanova, Aria Haghighi, Christopher D. Manning

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Efficient Inference and Structured Learning for Semantic Role Labeling by Oscar Täckström, Kuzman Ganchev, Dipanjan Das

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The Importance of Syntactic Parsing and Inference in Semantic Role Labeling by Vasin Punyakanok, Dan Roth, Wen-tau Yih

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Semi-Supervised Semantic Role Labeling via Structural Alignment by Hagen Fürstenau, Mirella Lapata

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On the Readability of Kernel-based Deep Learning Models in Semantic Role Labeling Tasks over Multiple Languages by Daniele Rossini, Danilo Croce, Roberto Basili

“…Quantitative evaluation against the Semantic Role Labeling task, both in English and Italian, suggests that explanations based on semantic and syntagmatic structures are rich and characterize convincing arguments, as they effectively help the user in assessing whether or not to trust the machine decisions.…”
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Generating Training Data for Semantic Role Labeling based on Label Transfer from Linked Lexical Resources by Silvana Hartmann, Judith Eckle-Kohler, Iryna Gurevych

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Leveraging ChatGPT for Enhancing Arabic NLP: Application for Semantic Role Labeling and Cross-Lingual Annotation Projection by Ferial Senator, Abdelaziz Lakhfif, Imene Zenbout, Hanane Boutouta, Chahrazed Mediani

Subjects: “…Semantic role labeling…”
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<b>Semantic Role Labeling Martha Palmer,^* Daniel Gildea,^‡ and Nianwen Xue^¶</b> (^*University of Colorado, Boulder; ^‡University of Rochester; ^¶Brandeis University) Morgan &amp; Claypool (Synthesis Lectures on Human Language Technologies, edited by Graeme Hirst, volume 6), 2010, ix+91 pp; paperbound, ISBN 978-1-59829-831-4, $30.00 or by subscription by Alessandro Moschitti

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RoadSitu: Leveraging road video frame extraction and three-stage transformers for situation recognition by Subhajit Chatterjee, Hoorang Shin, Joon-Min Gil, Yung-Cheol Byun

“…Situation recognition is an crucial problem in scene understanding, activity understanding, and action reasoning as it provides a structured representation of the main activity depicted in the image. Semantic role labeling is crucial to situation recognition, which is challenging because a single action can have multiple meanings and purposes depending on its context. …”
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An Exploration of Semantic Features in an Unsupervised Thematic Fit Evaluation Framework by Asad Sayeed, Pavel Shkadzko, Vera Demberg

“…We explore the use of the SENNA semantic role-labeller in defining a distributional space in order to build an unsupervised model of event-entity thematic fit judgements. …”
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