WebJan 15, 2024 · Abstract and Figures Structured knowledge grounding (SKG) leverages structured knowledge to complete user requests, such as semantic parsing over … Web–Structured knowledge discovery in data analytics: information extraction including entity typing, named entity recognition, entity linking, relation extraction, event detection and extraction; ontology induction; scene graph generation; visual relation detection.
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WebUnifiedSKG: Unifying and multi-tasking structured knowledge grounding with text-to-text language models T Xie, CH Wu, P Shi, R Zhong, T Scholak, M Yasunaga, CS Wu, M Zhong, … WebApr 8, 2024 · Recently, there have been extensive efforts to represent, inject, and ground knowledge in various NLP tasks. Because many downstream applications require the integration of structured and unstructured knowledge, it is essential to design more generalized models to handle multiple sources of knowledge inputs. bodybuilding while on keto
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Web"Disciplinary grounding is necessary to ensure that students can effectively achieve interdisciplinary understanding. This section identifies significant discipline-specific content. (Content may include methods, tools, theories, knowledge or forms of communication from relevant disciplines that are necessary to develop interdisciplinary ... WebFinally, by scaling our model up to 20B parameters, we achieve SOTA performance on 50 well-established supervised NLP tasks ranging from language generation (with automated and human evaluation), language understanding, text classification, question answering, commonsense reasoning, long text reasoning, structured knowledge grounding and … WebThe structure knowledge contained in neighbour-ing entities can act as the “knowledge bridge” be-tween mention-spans, facilitating the interaction of different mention representations. Hence, PLMs can learn better representations for rare medical terms. In this paper, we introduce SMedBERT, a KE-PLM pre-trained over large-scale medical corpora close-cropped slicked back