Mining biological relationships from scientific text, which facilitates automatic construction of knowledge base and finding of new information, becomes one of the emerging applications. Named entity recognition is a fundamental task in relationship mining. Traditional methods listed a pre-defined set of words to indicate protein or gene interactions by intuition. The argument is that we cannot...

In this paper, we describe a method of automatic extraction of knowledge patterns using in term descriptions from glossary, and using them to extract term description from technical texts. A brief introduction of the problem will be presented. After that, knowledge patterns and related works are discussed. By statistical analysis, we will show that these patterns can be learned, and we will pro...

Although multiword expressions (MWEs) have received an increasing amount of attention in the NLP community over the last two decades, few papers have been dedicated to the specific problem of the interaction between MWEs and parsing. In this paper, we will discuss how the collocation identification task has been integrated in our rulebased parser and show how collocation knowledge has a positiv...

This study analyzes lexical proficiency in oral and written texts produced by second language (L2) learners of English. The purpose of the study is to examine relationships between analytic scores of depth of lexical knowledge, breadth of lexical knowledge, and access to core lexical items and holistic scores of lexical proficiency. A corpus of 240 spoken texts and 240 written texts produced by...

Studies on language learning have revealed that collocation knowledge is an important indicator for advanced second language competence. Native speakers' production relies heavily on prefabricated or pre-made chunks such as collocations, which save processing load to achieve language fluency and accuracy. Previous investigation on ESL and EFL students indicated that nonnative learners' collocat...

This paper presents a hybrid method for extracting Chinese noun phrase collocations that combines a statistical model with rule-based linguistic knowledge. The algorithm first extracts all the noun phrase collocations from a shallow parsed corpus by using syntactic knowledge in the form of phrase rules. It then removes pseudo collocations by using a set of statistic-based association measures (...

The goal of data mining is to discover nuggets. Spatial data mining discovers collocation rules. Especially in spatial data mining, when spatial data is relatively represented with time series, a spatio-temporal significance is inferred. In this context the collocation rule that is a quintessence for the spatial data, obtains changes to its size and shape with temporal influence. Thus, the chan...