Automatic Extension of Feature-based Semantic Lexicons via Contextual Attributes
نویسندگان
چکیده
We describe how a feature-based semantic lexicon can be automatically extended using large, unstructured text corpora. Experiments are carried out using the lexicon HaGenLex and the Wortschatz corpus. The semantic classes of nouns are determined via the adjectives that modify them. It turns out to be reasonable to combine several classifiers for single attributes into one for complex semantic classes. The method is evaluated thoroughly and possible improvements are discussed.
منابع مشابه
”Automatic Extension of Feature-based Semantic Lexicons via Bootstrapping
This work investigates and improves a bootstrapping approach which permits to extend high quality lexical resources with the help of large corpora. The emphasis lies on the extraction of lexical-semantic information and word meaning, which are fundamental components for advanced applications such as semantic parsing, information retrieval or summarizing textual information. ... In the last chap...
متن کاملAutomatic Expansion of Feature-Level Opinion Lexicons
In most tasks related to opinion mining and sentiment analysis, it is necessary to compute the semantic orientation (i.e., positive or negative evaluative implications) of certain opinion expressions. Recent works suggest that semantic orientation depends on application domains. Moreover, we think that semantic orientation depends on the specific targets (features) that an opinion is applied to...
متن کاملAutomatic Face Recognition via Local Directional Patterns
Automatic facial recognition has many potential applications in different areas of humancomputer interaction. However, they are not yet fully realized due to the lack of an effectivefacial feature descriptor. In this paper, we present a new appearance based feature descriptor,the local directional pattern (LDP), to represent facial geometry and analyze its performance inrecognition. An LDP feat...
متن کاملSemantic Image Annotation based on Robust Probabilistic Latent Semantic Analysis
Automatic image annotation is a promising solution to enable the semantic image retrieval via keywords. In this paper, we present a robust probabilistic latent semantic analysis (PLSA) for the task of automatic image annotation. On the one hand, since labeled images are often hard to obtain or create in large quantities while the unlabeled ones are easier to collect. Semi-supervised learning ai...
متن کاملA procedure for Web Service Selection Using WS-Policy Semantic Matching
In general, Policy-based approaches play an important role in the management of web services, for instance, in the choice of semantic web service and quality of services (QoS) in particular. The present research work illustrates a procedure for the web service selection among functionality similar web services based on WS-Policy semantic matching. In this study, the procedure of WS-Policy publi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2005