beta-carotene
发表于 2025-3-30 11:38:57
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粗野
发表于 2025-3-30 15:03:01
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Ordnance
发表于 2025-3-30 16:48:07
Confirmed Knowledge Acquisition Using Mails Posted to a Mailing Listcuments. It is almost inevitable that natural language documents, especially web documents, contain wrong information. As a result, it is important to investigate a method of detecting and correcting wrong information in natural language documents when we develop a knowledge base by using them. In t
Decongestant
发表于 2025-3-30 21:10:19
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Metastasis
发表于 2025-3-31 04:42:05
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Commonwealth
发表于 2025-3-31 06:19:10
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不可侵犯
发表于 2025-3-31 09:33:55
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GUISE
发表于 2025-3-31 14:29:59
PP-Attachment Disambiguation Boosted by a Gigantic Volume of Unambiguous Exampless are utilized to acquire precise lexical preferences for PP-attachment disambiguation. Attachment decisions are made by a machine learning method that optimizes the use of the lexical preferences. Our experiments indicate that the precise lexical preferences work effectively.
妈妈不开心
发表于 2025-3-31 19:13:17
Adapting a Probabilistic Disambiguation Model of an HPSG Parser to a New Domain model of the original HPSG parser, we develop a log-linear model with additional features on a treebank of the biomedical domain. Since the treebank of the target domain is limited, we need to exploit an original disambiguation model that was trained on a larger treebank. Our model incorporates the
Lumbar-Stenosis
发表于 2025-3-31 22:30:04
A Hybrid Approach to Single and Multiple PP Attachment Using WordNetre. In this paper, we propose an algorithm to disambiguate between PP attachment sites. The algorithm uses a combination of supervised and unsupervised learning along with the WordNet information, which is implemented using a back-off model. Our use of the available sources of lexical knowledge base