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View article: Differences in Semantic Errors Made by Different Types of Data-to-text Systems
Differences in Semantic Errors Made by Different Types of Data-to-text Systems Open
View article: Filling Gaps in Wikipedia: Leveraging Data-to-Text Generation to Improve Encyclopedic Coverage of Underrepresented Groups
Filling Gaps in Wikipedia: Leveraging Data-to-Text Generation to Improve Encyclopedic Coverage of Underrepresented Groups Open
View article: Front Matter
Front Matter Open
View article: The INLG 2024 Tutorial on Human Evaluation of NLP System Quality: Background, Overall Aims, and Summaries of Taught Units
The INLG 2024 Tutorial on Human Evaluation of NLP System Quality: Background, Overall Aims, and Summaries of Taught Units Open
View article: DCU-ADAPT-modPB at the GEM’24 Data-to-Text Generation Task: Model Hybridisation for Pipeline Data-to-Text Natural Language Generation
DCU-ADAPT-modPB at the GEM’24 Data-to-Text Generation Task: Model Hybridisation for Pipeline Data-to-Text Natural Language Generation Open
View article: QCET: An Interactive Taxonomy of Quality Criteria for Comparable and Repeatable Evaluation of NLP Systems
QCET: An Interactive Taxonomy of Quality Criteria for Comparable and Repeatable Evaluation of NLP Systems Open
View article: Towards a Consensus Taxonomy for Annotating Errors in Automatically Generated Text
Towards a Consensus Taxonomy for Annotating Errors in Automatically Generated Text Open
Error analysis aims to provide insights into system errors at different levels of granularity.NLP as a field has a long-standing tradition of analysing and reporting errors which is generally considered good practice.There are existing err…
View article: A Survey of Recent Error Annotation Schemes for Automatically Generated Text
A Survey of Recent Error Annotation Schemes for Automatically Generated Text Open
While automatically computing numerical scores remains the dominant paradigm in NLP system evaluation, error analysis is receiving increasing attention, with numerous error annotation schemes being proposed for automatically generated text…
View article: EM Corpus: a comparable corpus for a less-resourced language pair Manipuri-English
EM Corpus: a comparable corpus for a less-resourced language pair Manipuri-English Open
In this paper, we introduce a sentence-level comparable text corpus crawled and created for the less-resourced language pair, Manipuri (mni) and English (eng).Our monolingual corpora comprise 1.88 million Manipuri sentences and 1.45 millio…