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Showing 1 to 19 of 19 for “"Event Extraction"”.
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A Cost-Effective Semi-Automated Approach for Comprehensive Event Extraction
Automated event extraction from free text remains an open problem, particularly when the goal is to identify all relevant events. Manual extraction is currently the only alternative for comprehensive and reliable extraction. Therefore, it is required to have a system that can comprehensively …
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Joint Biomedical Event Extraction and Entity Linking via Iterative Collaborative Training
Biomedical entity linking and event extraction are two crucial tasks to support text understanding and retrieval in the biomedical domain. These two tasks intrinsically benefit each other: entity linking disambiguates the biomedical concepts by referring to external knowledge bases and the domain …
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Automatically identifying people shot by police from media sources
… in the field of text classification and event extraction to achieve this goal. In order to develop a database of police-involved fatal shootings, we propose a multiple layer structure. The first layer is a Boolean query to extract articles from the Solr database which stores articles …
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Towards Explainable Event Detection and Extraction
Event extraction refers to extracting specific knowledge of incidents from natural language text and consolidating it into a structured form. Some important applications of event extraction include search, retrieval, question answering and event forecasting. However, before events can be extracted …
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Event Detection and Extraction from News Articles
Event extraction is a type of information extraction(IE) that works on extracting the specific knowledge of certain incidents from texts. Nowadays the amount of available information (such as news, blogs, and social media) grows in exponential order. Therefore, it becomes imperative to develop …
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Forging a Path to Understanding: Integrating and Analyzing War History Data through Knowledge Graph Technologies
… strategies and targeted interventions to prevent the onset of future conflicts. Understanding the nature of war is a complex undertaking that requires the integration of a significant amount of data across diverse fields. Data in the war field is often dispersed across different …
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Forging a Path to Understanding: Integrating and Analyzing War History Data through Knowledge Graph Technologies
… strategies and targeted interventions to prevent the onset of future conflicts. Understanding the nature of war is a complex undertaking that requires the integration of a significant amount of data across diverse fields. Data in the war field is often dispersed across different …
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Knowledge Engineering via Large Language Models
… before populating them with entities, and an extraction-first approach, where entities and relations are identified freely and later organized into a type schema. Beyond structuring, the work also examines LLMs as interfaces for retrieval, evaluating their ability to translate natural language …
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Information-based Event Coreference
Event Coreference is an important module in the event extraction task, which has been shown to be difficult to solve. The goal is to link mentions talking about the same event together so that the information could be aggregated. This task could further be split into two slightly different …
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Three Essays on Natural Language Processing and Information Extraction with Applications to Political Violence and International Security
… for extracting descriptions of political events, using both the syntax, or grammar, of a sentence and the semantic meaning of words. I apply the new event extraction technique to two domains, extracting descriptions of human rights abuses from State Department reports and descriptions of …
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Understanding stories via event sequence modeling
Understanding stories, i.e. sequences of events, is a crucial yet challenging natural language understanding (NLU) problem, which requires dealing with multiple aspects of semantics, including actions, entities and emotions, as well as background knowledge. In this thesis, towards the goal of …
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Mining Functional and Structural Relationships of Context Variables in Smart-Buildings
… The rule mining framework uses three stages: (1) event extraction, (2) rule mining, (3) structure creation. The event extraction combines the building’s data into a time-series of device events. Then, in the rule mining stage, rules are mined from the time series, where we use the established …
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Design and Maintenance of Event Forecasting Systems
… are able to gain a real-time understanding into events happening in many parts of the world. In addition, these modern forms of communication have helped shed light into the increasing instabilities across the world via the design of anticipatory intelligence systems [45, 43, 20] that can …
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Multilingual multitask joint neural information extraction
… researchers have proposed various Information Extraction (IE) techniques to discover important knowledge elements (e.g., entities, relations, events) from unstructured documents. However, as these approaches typically rely on specific hand-crafted rules or manually annotated data, it is usually …
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Towards Generalizable Information Extraction with Limited Supervision
… fall short in effectively addressing information extraction (IE) under limited supervision. In this dissertation, we approach information extraction with limited supervision from three perspectives. Firstly, we refine the previous classification-based extraction paradigm by introducing a …
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Role of semantic indexing for text classification.
… rich concepts. Accordingly, we present an event extraction framework called Rule-Based Event Extractor (RUBEE) for identifying and utilising event information for concept-based indexing of incident reports. We also demonstrate how certain attributes of these events e.g. negation, can be …
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Cold-start universal information extraction
… about and understanding a concept, topic, or event. The answers to these questions underpin the key information conveyed in the overwhelming majority, if not all, of language-based communication. At the core of my research in Information Extraction (IE) is the desire to endow machines with the …
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Towards open-domain event understanding
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-03-28 without embargo terms