Annotation Protocol

otherentity ID: annotationprotocol

Related Papers

A Multimodal Educational Corpus of Oral Courses: Annotation, Analysis and Case Study

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractThis corpus is part of the PASTEL (Performing Automated Speech Transcription for Enhancing Learning) project aiming to explore the potential of synchronous speech transcription and application in specific teaching situations. …...

14454

Controlled Crowdsourcing for High-Quality QA-SRL Annotation

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractQuestion-answer driven Semantic Role Labeling (QA-SRL) was proposed as an attractive open and natural flavour of SRL, potentially attainable from laymen. Recently, a large-scale crowdsourced QA-SRL corpus and a trained …...

37344

Cross-modal Coherence Modeling for Caption Generation

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractWe use coherence relations inspired by computational models of discourse to study the information needs and goals of image captioning. Using an annotation protocol specifically devised for capturing image–caption coherence …...

37393

TLDR: Extreme Summarization of Scientific Documents

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractWe introduce TLDR generation, a new form of extreme summarization, for scientific papers. TLDR generation involves high source compression and requires expert background knowledge and understanding of complex domain-specific language. …...

29627

Cross-Domain Label-Adaptive Stance Detection

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractStance detection concerns the classification of a writer’s viewpoint towards a target. There are different task variants, e.g., stance of a tweet vs. a full article, or stance with respect …...

30995

Angry or Sad ? Emotion Annotation for Extremist Content Characterisation

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractThis paper examines the role of emotion annotations to characterize extremist content released on social platforms. The analysis of extremist content is important to identify user emotions towards some extremist …...

16608