Text infilling aims to restore incomplete texts by filling in blanks and has attracted increasing attention recently because of its wide application ancient text restoration, conversation generation, rewriting. However, attribute-aware is yet be explored, existing methods seldom focus on the length each blank or number location blanks. In this study, we propose a plug-and-play Attribute-aware I...

Attributes such as size, weight or color are at the core of conceptualization, i.e., the formal representation of entities or events in the real world. In natural language, formal attributes find their counterpart in attribute nouns which can be used in order to generalize over individual properties (e.g., big or small in case of size, blue or red in case of color). In order to ascribe such pro...

XML Schema is a rather complex schema language, partly because of its inherent complexity, and partly because of its XML syntax. In an effort to reduce the syntactic verboseness and complexity of XML Schema, we designed the XML Schema Compact Syntax (XSCS), a non-XML syntax for XML Schema. XSCS is designed for human users, and transformations from and to XML Schema XML syntax are implemented us...

The entity attribute extraction problem, or how to extract entities and their attribute values from natural language Web documents, is of critical importance for Web search and information access in general. Unfortunately, because of the noisy nature of theWeb and its scale, entity attribute extraction is notoriously challenging in terms of both extraction efficiency and quality. In our earlier...

supplier evaluation and selection is important in supply chain management. this is a typical multiple criteria decision making that consists of both quantitative and qualitative factors. ahp is a proper approach to aid this decision making problem, because of its inherent capacity to handle qualitative and quantitative criteria, but when criteria are dependent this method is not so good. also t...

We propose a criterion for discrimination against a specified sensitive attribute in supervised learning, where the goal is to predict some target based on available features. Assuming data about the predictor, target, and membership in the protected group are available, we show how to optimally adjust any learned predictor so as to remove discrimination according to our definition. Our framewo...

In this paper I propose a Binding rule for the identification of pronoun and anaphor referents in phrase-structure trees, assuming the general framework of lhe Government-binding theory outlined by Chom,;ky (1981). The Binding rule, specified by means of an attribute grammar, is a particular instantiation of the Free Indexing rule and binding axioms in Chomsky's Binding theory, with certain emp...