Several state-of-the-art event extraction systems employ models based on Support Vector Machines (SVMs) in a pipeline architecture, which fails to exploit the joint dependencies that typically exist among events and a...
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This paper presents a syntactic path-based learning algorithm (CANDI L from CANDIDATE-ELIMINATION) for the coreference resolution of pronouns that have their antecedents in the same sentence. Syntactic paths are treat...
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This paper presents a semantically structured resource of more than 1,600 Name Classes. This structure is based on the noun hypernymy hierarchies in WordNet, expanded and validated by corpus evidence collected from th...
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(纸本)2951740816
This paper presents a semantically structured resource of more than 1,600 Name Classes. This structure is based on the noun hypernymy hierarchies in WordNet, expanded and validated by corpus evidence collected from the World Wide Web. The set of seed examples provided by WordNet is boostrapped and the used to automatically construct an annotated training corpus for each Name Class. The resulting Named Entity resource enables a supervised Named Entity Recognizer to identify all the encoded Name Classes with high accuracy and without any human intervention.
Inspired by previous chunk-level reordering approaches to statistical machine translation, this paper presents two methods to improve the reordering at the chunk level. By introducing a new lattice weighting factor an...
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Fast growing of cities, urban places, and population presents major challenges in our daily lives. Finding proper solution from different perspectives of cities became a concern by both researchers and industries conc...
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Standard entity clustering systems commonly rely on mention (string) matching, syntactic features, and linguistic resources like English WordNet. When co-referent text mentions appear in different languages, these tec...
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Emoticons have been widely employed to express different types of moods, emotions, and feelings in microblog environments. They are therefore regarded as one of the most important signals for microblog sentiment analy...
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Emoticons have been widely employed to express different types of moods, emotions, and feelings in microblog environments. They are therefore regarded as one of the most important signals for microblog sentiment analysis. Most existing studies use several emoticons that convey clear emotional meanings as noisy sentiment labels or similar sentiment indicators. However, in practical microblog environments, tens or even hundreds of emoticons are frequently adopted and all emoticons have their own unique emotional meanings. Besides, a considerable number of emoticons do not have clear emotional meanings. An improved sentiment analysis model should not overlook these phenomena. Instead of manually assigning sentiment labels to several emoticons that convey relatively clear meanings, we propose the emoticon space model (ESM) that leverages more emotieons to construct word representations from a massive amount of unlabeled data. By projecting words and microblog posts into an emoticon space, the proposed model helps identify subjectivity, polarity, and emotion in microblog environments. The experimental results for a public microblog benchmark corpus (NLP&CC 2013) indicate that ESM effectively leverages emoticon signals best runs. and outperforms previous state-of-the-art strategies and benchmark
The present study provides initial data on self-reported secure and insecure cyber behaviour using the iSECURE. A theoretical model for item pool development, distributions and convergent associations is presented. Da...
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Web Spam is the result of a number of methods to deceive search engine algorithms so as to obtain higher ranks in the search results. Advanced spammers use keyword and link stuffing methods to create farms of spam pag...
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This paper discusses the possible effort to mitigate insider threats risk and aim to inspire organizations to consider identifying insider threats as one of the risks in the company's enterprise risk management ac...
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