昏暗
发表于 2025-3-30 10:28:47
Collective Entity Linking on Relational Graph Model with Mentionselational inference for semantic information extraction. Graph based linking algorithm is utilized to ensure per mention with only one candidate entity. Experiments on datasets show the proposed model significantly out-performs the state-of-the-art relatedness approaches in term of accuracy.
凹室
发表于 2025-3-30 12:56:15
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NUDGE
发表于 2025-3-30 18:45:39
Using Cost-Sensitive Ranking Loss to Improve Distant Supervised Relation Extractionto embed the semantics of sentences. Then the features are fed into a classifier which takes into account both the ranking loss and cost-sensitive. Experiments show that our method is effective and performs better than state-of-the-art methods.
共同给与
发表于 2025-3-30 22:20:56
Conference proceedings 2017guage resource and evaluation; Information retrieval and question answering; Text classification and summarization; Social computing and sentiment analysis; NLP applications; Minority language information processing..
RUPT
发表于 2025-3-31 02:22:45
0302-9743 ledge graph and information extraction; Language resource and evaluation; Information retrieval and question answering; Text classification and summarization; Social computing and sentiment analysis; NLP applications; Minority language information processing..978-3-319-69004-9978-3-319-69005-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
Banquet
发表于 2025-3-31 09:00:24
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countenance
发表于 2025-3-31 12:05:28
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Transfusion
发表于 2025-3-31 15:06:15
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