Search Results for author:
Found 7 papers, 2 papers with code
Domain Adaptation of Multilingual Semantic Search - Literature Review
This literature review gives an overview of current approaches to perform domain adaptation in a low-resource and approaches to perform multilingual semantic search in a low-resource setting.
Generative User-Experience Research for Developing Domain-specific Natural Language Processing Applications
Generative UX research employs domain users at the initial stages of prototype development, i. e., ideation and concept evaluation, and the last stage for evaluating system usefulness and user utility.
ANEA: Automated (Named) Entity Annotation for German Domain-Specific Texts
Named entity recognition (NER) is an important task that aims to resolve universal categories of named entities, e. g., persons, locations, organizations, and times.
Newsalyze: Effective Communication of Person-Targeting Biases in News Articles
Our study further suggests that our content-driven identification method detects groups of similarly slanted news articles due to substantial biases present in individual news articles.
XCoref: Cross-document Coreference Resolution in the Wild
Bridging and loose coreference relations trigger associations that may lead to exposing news readers to bias by word choice and labeling.
coreference-resolution
Cross Document Coreference Resolution
Towards Evaluation of Cross-document Coreference Resolution Models Using Datasets with Diverse Annotation Schemes
In this paper, we qualitatively and quantitatively compare the annotation schemes of ECB+, a CDCR dataset with identity coreference relations, and NewsWCL50, a CDCR dataset with a mix of loose context-dependent and strict coreference relations.
coreference-resolution
Cross Document Coreference Resolution
Concept Identification of Directly and Indirectly Related Mentions Referring to Groups of Persons
Specifically, the approach clusters mentions of groups of persons that act as non-named entity actors in the texts, e. g., "migrant families" = "asylum-seekers."
