ProtagonistTagger -- a Tool for Entity Linkage of Persons in Texts from Various Languages and Domains
Named entities recognition (NER) and disambiguation (NED) can add semantic context to the recognized named entities in texts. Named entity linkage in texts, regardless of a domain, provides links between the entities mentioned in unstructured texts and individual instances of real-world objects. In this poster, we present a tool - protagonistTagger - for person NER and NED in texts. The tool was tested on texts extracted from classic English novels and Polish Internet news. The tool's performance (both precision and recall) fluctuates between 78% and even 88%.
Code (0)
등록된 구현이 없습니다.
Tasks
NERSimilar Papers 제목 키워드 기반
Protagonists' Tagger in Literary Domain -- New Datasets and a Method for Person Entity Linkage
Semantic annotation of long texts, such as novels, remains an open challenge in Natural Language Processing (NLP). This research investigates the problem of detecting person entities and assigning them unique identities,…
Entity Disambiguationnamed-entity-recognitionNamed Entity RecognitionNamed Entity Recognition (NER)+2Old Content and Modern Tools - Searching Named Entities in a Finnish OCRed Historical Newspaper Collection 1771-1910
Named Entity Recognition (NER), search, classification and tagging of names and name like frequent informational elements in texts, has become a standard information extraction procedure for textual data. NER has been ap…
named-entity-recognitionNamed Entity RecognitionNamed Entity Recognition (NER)NER+1Concept Identification of Directly and Indirectly Related Mentions Referring to Groups of Persons
Unsupervised concept identification through clustering, i.e., identification of semantically related words and phrases, is a common approach to identify contextual primitives employed in various use cases, e.g., text dim…
ArticlesClusteringDimensionality ReductionEntity ResolutionEntity-Level Sentiment: More than the Sum of Its Parts
In sentiment analysis of longer texts, there may be a variety of topics discussed, of entities mentioned, and of sentiments expressed regarding each entity. We find a lack of studies exploring how such texts express thei…
SentenceSentiment AnalysisGraph Neural Networks for User Identity Linkage
The increasing popularity and diversity of social media sites has encouraged more and more people to participate in multiple online social networks to enjoy their services. Each user may create a user identity to represe…
Graph Neural Network