The SUMMA Platform: A Scalable Infrastructure for Multi-lingual Multi-media Monitoring
The open-source SUMMA Platform is a highly scalable distributed architecture for monitoring a large number of media broadcasts in parallel, with a lag behind actual broadcast time of at most a few minutes. The Platform offers a fully automated media ingestion pipeline capable of recording live broadcasts, detection and transcription of spoken content, translation of all text (original or transcribed) into English, recognition and linking of Named Entities, topic detection, clustering and cross-lingual multi-document summarization of related media items, and last but not least, extraction and storage of factual claims in these news items. Browser-based graphical user interfaces provide humans with aggregated information as well as structured access to individual news items stored in the Platform{'}s database. This paper describes the intended use cases and provides an overview over the system{'}s implementation.
Code (0)
등록된 구현이 없습니다.
Tasks
ClusteringDocument SummarizationMulti-Document SummarizationTranslationSimilar Papers 제목 키워드 기반
PKUSUMSUM : A Java Platform for Multilingual Document Summarization
PKUSUMSUM is a Java platform for multilingual document summarization, and it sup-ports multiple languages, integrates 10 automatic summarization methods, and tackles three typical summarization tasks. The summarization p…
Chinese Word SegmentationDocument SummarizationInformation RetrievalEdge-Optimized Vision-Language Models for Underground Infrastructure Assessment
Autonomous inspection of underground infrastructure, such as sewer and culvert systems, is critical to public safety and urban sustainability. Although robotic platforms equipped with visual sensors can efficiently detec…
Integrating Multiple NLP Technologies into an Open-source Platform for Multilingual Media Monitoring
The open-source SUMMA Platform is a highly scalable distributed architecture for monitoring a large number of media broadcasts in parallel, with a lag behind actual broadcast time of at most a few minutes. It assembles n…
Automatic Speech Recognition (ASR)Machine TranslationSpeech RecognitionDINFRA: A One Stop Shop for Computing Multilingual Semantic Relatedness
This demonstration presents an infrastructure for computing multilingual semantic relatedness and correlation for twelve natural languages by using three distributional semantic models (DSMs). Our demonsrator - DInfra (D…
EUR-Lex-Sum: A Multi- and Cross-lingual Dataset for Long-form Summarization in the Legal Domain
Existing summarization datasets come with two main drawbacks: (1) They tend to focus on overly exposed domains, such as news articles or wiki-like texts, and (2) are primarily monolingual, with few multilingual datasets.…
ArticlesForm