[PDF] Top 20 A Corpus based Approach to Automatic Compound Extraction

... It uses n-gram mutual information, relative frequency count and parts of speech as the features for compound extraction.. The problem is modeled as a two-class classification problem bas[r] ... See full document

... Recently Automatic concrete crack detection has been converted to a real challenge for high performance of the inspection and diagnosis of concrete structures ...efficient approach based on ... See full document

... road extraction from high resolution images using path following approach ...modified approach for medium and high resolution satellite images where they modified the cost (merit) function of by ... See full document

... that approach is that it limits the descriptors which can be used and discards image information by not requiring all measures to be based on a consistent ... See full document

... indexing. Automatic annotating is thus preferred and this is one o f the goals o f Information Extraction (IE), w hich is a sub-field o f N atural Language Processing ... See full document

... Persian compound verbs and establishing the relational pattern over Persian compound verbs and their components, the semi- automatic construction of Persian WordNet of verbs is ...composite ... See full document

... The resulting subcorpora can be used 1 to provide evidence for the subcategorization properties of a given lemma, and to facilitate the selection of corpus lines for lexicographic resear[r] ... See full document

... new approach of automatic classification of atrial fibrillation (AF) arrhythmia is proposed in this ...Our approach is based on discrete wavelet transform method followed by cross recurrence ... See full document

... This approach exploits the fact that a pre- cision grammar is designed, in the traditional gen- erative grammar sense (Chomsky, 1957), to dis- tinguish grammatical sentences from ungrammati- cal ...our ... See full document

... tems. Compound splitting is an important com- ponent of German to English statistical machine translation ...that corpus-driven approaches to compound splitting perform better than approaches ... See full document

... Our approach belongs to the category of example-based di- alogue modelling which aims at using a database of seman- tically indexed dialogue examples to manage dialogue (Lee et ...a corpus given a ... See full document

... able to provide enough information, either. This problem can be solved, however, by a better selec- tion of seedwords, or, more easily, simply by using a bigger corpus to alleviate the sparse data problem. A more ... See full document

... parallel corpus. These rules normal- ize the expressions of the corpus by replacing synonymous expressions with a major ...expression. Extraction and filter- ing of expressions are based on ... See full document

... relation extraction method obtains good precision and recall ...focused corpus of relevant examples of treatment relations than a more general MEDLINE ... See full document

... feature extraction is a popular strategy for ...feature extraction is usually time-consuming and depends excessively on ...an automatic spatial feature extraction approach based ... See full document

... I n P'mceedings of the International Workshop on Sharable Natural Language Resources... University Mi- crofilms Iilternational..[r] ... See full document

... Switchboard corpus, the ICSI Meeting Room DA (MRDA) corpus (Shriberg et ...ICSI-MRDA corpus was that of multi-party meetings, with multiple partic- ipants discussing an agenda of items in a struc- ... See full document

... hypernym/hyponym pairs and then applies bootstrapping with a scoring function, where a- scoring-f denotes an abstract scoring function for selecting new hyponym candidate. Our scoring methodologies can be categorized in ... See full document

... These include the availability of efficient and high precision word segmentation methods for Chinese text [Chang et al., 1991; Sproat and Shih, 1990; Wang et al., 1990], the availability[r] ... See full document

... Automatic extraction of subcorpora based on subcategorization frames from a part of speech tagged corpus Automatic extraction of subcorpora based on subcategorization frames from a part of speech tagg[.] ... See full document