Challenge: FrameNet is a computational lexicography tool that provides in-depth semantic information regarding the argument structure and thematic relations of a predicate.
Approach: They introduce an open-source annotation tool that can be easily modified to accommodate predicate annotations based on Frame Semantics.
Outcome: The proposed tool can be easily modified to answer the annotation needs of a wide range of languages.

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Challenge: Praaline is an open-source software system for constituting and managing spoken language and multimodal corpora.
Approach: They present the latest developments of Praaline, an open-source software system for constituting and managing spoken language and multimodal corpora.
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Introducing Frege to Fillmore: A FrameNet Dataset that Captures both Sense and Reference (2022.lrec-1)

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Challenge: a widely supported claim in the fields of semantics and philosophy is that meaning arises from the combination of sense and reference.
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Frame Semantics across Languages: Towards a Multilingual FrameNet (C18-3)

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Challenge: This workshop will present current research on aligning Frame Semantic resources across languages . resources based on FrameNet have been created for roughly a dozen languages based upon Fillmore's Frame Sementics .
Approach: This workshop will present current research on aligning Frame Semantic resources across languages . resources based on FrameNet have been created for roughly a dozen languages based upon Fillmore's Frame Sementics .
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Corpus Annotation Graph Builder (CAG): An Architectural Framework to Create and Annotate a Multi-source Graph (2023.eacl-demo)

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Challenge: Graphs are a natural representation of complex data as their structure allows users to discover (often implicit) relations among the nodes intuitively.
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A Danish FrameNet Lexicon and an Annotated Corpus Used for Training and Evaluating a Semantic Frame Classifier (L18-1)

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Challenge: a Danish FrameNet is a lexicon based on the Danish Thesaurus . it is significantly faster than building a new one from scratch .
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Do you Feel Certain about your Annotation? A Web-based Semantic Frame Annotation Tool Considering Annotators’ Concerns and Behaviors (2020.lrec-1)

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Challenge: Existing tools for manual annotations are resourceintensive and complex, and experienced annotators and tools specialized for the purpose of the annotation task are required.
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ZAP: An Open-Source Multilingual Annotation Projection Framework (L18-1)

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Challenge: Existing frameworks for annotation projection in parallel corpora limit reproducibility and comparison of experiments.
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Evaluating the Quality of a Corpus Annotation Scheme Using Pretrained Language Models (2024.lrec-main)

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Challenge: Pretrained language models and large language models are increasingly used to assist in a variety of natural language processing tasks.
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TALEN: Tool for Annotation of Low-resource ENtities (P18-4)

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Challenge: Named entity recognition (NER) is a task that requires a large amount of training data and annotators who do not speak the language are hard or impossible to find.
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Annotating FrameNet via Structure-Conditioned Language Generation (2024.acl-short)

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Challenge: despite the remarkable generative capabilities of language models, their effectiveness on explicit manipulation and generation of linguistic structures remains understudied.
Approach: They propose a framework to generate frame-semantically annotated sentences following FrameNet . they use explicit semantic information to generate frames with high human acceptance .
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