Papers with annotation protocol

5 papers
Angry or Sad ? Emotion Annotation for Extremist Content Characterisation (2022.lrec-1)

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Challenge: Social platforms play an increasingly important role in the propagation of extremist ideas.
Approach: They propose to use a linguistic annotation scheme to characterize extremist content in French . they validate the scheme and test its ability to capture various aspects of emotions .
Outcome: The proposed method combines sociological and linguistic knowledge to characterize extremist content in French.
SLäNDa: An Annotated Corpus of Narrative and Dialogue in Swedish Literary Fiction (2020.lrec-1)

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Challenge: a new corpus of literary fiction has been annotated for cited materials with a focus on dialogue.
Approach: They propose to annotate a new corpus of Swedish literary fiction for cited materials with a focus on dialogue.
Outcome: The proposed corpus can be used to train and analyze models for different types of analysis of literary narrative and speech.
MaXM: Towards Multilingual Visual Question Answering (2023.findings-emnlp)

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Challenge: Visual Question Answering (VQA) has been studied in the English language, but in other languages it would require a considerable amount of resources.
Approach: They propose scalable solutions to multilingual visual question answering using an English language framework and an annotation protocol.
Outcome: The proposed framework reduces human annotation efforts and creates a test-only VQA benchmark in 7 languages.
A Multimodal Educational Corpus of Oral Courses: Annotation, Analysis and Case Study (2020.lrec-1)

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Challenge: a corpus of spontaneous speech is being developed for educational use . the dataset will be freely available to the research community .
Approach: They propose to use a French speech educational corpus to explore synchronous speech transcription and application in teaching situations.
Outcome: The proposed corpus includes 10 hours of lectures, manually transcribed and segmented . the dataset will be freely available to the research community .
Increasing Argument Annotation Reproducibility by Using Inter-annotator Agreement to Improve Guidelines (L18-1)

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Challenge: Argument Mining systems require large amounts of data to characterize phenomena and find patterns that can be exploited by an automatic analyzer.
Approach: They propose to exploit inter-annotator agreement measures to improve Argument annotation guidelines.
Outcome: The proposed method improves Argument annotation guidelines by exploiting inter-annotator agreement measures.

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