Event Extraction from Unstructured Amharic Text
In information extraction, event extraction is one of the types that extract the specific knowledge of certain incidents from texts. Event extraction has been done on different languages text but not on one of the Semitic language, Amharic. In this study, we present a system that extracts an event from unstructured Amharic text. The system has designed by the integration of supervised machine learning and rule-based approaches. We call this system a hybrid system. The system uses the supervised machine learning to detect events from the text and the handcrafted and the rule-based rules to extract the event from the text. For the event extraction, we have been using event arguments. Event arguments identify event triggering words or phrases that clearly express the occurrence of the event. The event argument attributes can be verbs, nouns, sometimes adjectives (such as ̃rg/wedding) and time as well. The hybrid system has compared with the standalone rule-based method that is well known for event extraction. The study has shown that the hybrid system has outperformed the standalone rule-based method.
Code (0)
등록된 구현이 없습니다.
Tasks
BIG-bench Machine LearningEvent ExtractionSimilar Papers 제목 키워드 기반
Automatic Construction of Amharic Semantic Networks from Unstructured Text Using Amharic WordNet
Embedding Oriented Adaptable Semantic Annotation Framework for Amharic Web Documents
The Web has become a source of information, where information is provided by humans for humans and its growth has increased necessity to get solutions that intelligently extract valuable knowledge from existing and newly…
ANEC: An Amharic Named Entity Corpus and Transformer Based Recognizer
Named Entity Recognition is an information extraction task that serves as a preprocessing step for other natural language processing tasks, such as machine translation, information retrieval, and question answering. Name…
imbalanced classificationInformation RetrievalMachine Translationnamed-entity-recognition+4Amharic Question Answering for Biography, Definition, and Description Questions
A broad range of information needs can often be stated as a question. Question Answering (QA) systems attempt to provide users concise answer(s) to natural language questions. The existing Amharic QA systems handle fact-…
Question AnsweringamLite: Amharic Transliteration Using Key Map Dictionary
amLite is a framework developed to map ASCII transliterated Amharic texts back to the original Amharic letter texts. The aim of such a framework is to make existing Amharic linguistic data consistent and interoperable am…
Transliteration