Titlebook: Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big D; 13th China National Maosong Sun,Yang

Homocystinuria

HARP

BLOT

Exploiting Multiple Resources for Word-Phrase Semantic Similarity Evaluationtic similarity of words and compositional phrases. The task is to judge the semantic similarity of a word and a short sequence of words. Based on structured resource (WordNet), semi-structured resource (Wikipedia) and unstructured resource (Web), this paper extracts rich effective features to repres

使?jié)M足

Dependency Graph Based Chinese Semantic Parsing the HIT dependency scheme using stronger linguistic theories, yielding a dependency scheme with more clear hierarchy. To cover Chinese semantics more comprehensively, we make a break away from the constraints of dependency trees, and extend to graphs. Moreover, we utilize SVM to parse semantic depe

maroon

A Joint Learning Approach to Explicit Discourse Parsing via Structured Perceptronexplicit discourse parser via structured perceptron by decomposing it into two components, i.e., a connective labeler, which identifies connectives from a text and determines their senses in classifying discourse relationship, and an argument labeler, which identifies corresponding arguments for a g

發(fā)炎

邊緣

評(píng)論性

The Chinese-English Contrastive Language Knowledge Base and Its Applicationsf its entries and the XML-based annotation schemes used. We also report on the progress of annotation. The knowledge base is linguistically motivated, focusing on a wide range of sub-sentential contrasts between Chinese and English. It will offer a new form of bilingual resources for NLP tasks, for

BALE

Clustering Product Aspects Using Two Effective Aspect Relations for Opinion Miningxplored, however, limited work have been done for clustering the product aspects. In this paper, we focus on the problem of product aspect clustering. Two effective aspect relations: relevant aspect relation and irrelevant aspect relation are proposed to describe the relationships between two aspect

beta-carotene