17571893
Information-based Case Grammar
In this paper we propose a framework of Information-based Case Grammar (ICG). This grammatical formalism entails that the lexical entry for each word contain both semantic and syntactic feature structures. In the feature structure of a phrasal head, we encode syntactic and semantic constraints on grammatical phrasal patterns in terms of thematic structures, and encode the precedence relations in terms of adjunct structures. Such feature structures denote partial information which defines the set of legal phrases. They also provide sufficient information to identify thematic roles. With this formalism, parsing and thematic analysis can be achieved simultaneously. Due to the simplicity and flexibility of Information-based Case Grammar, context dependent and discontinuous relations such as agreements, coordinations, long-distance dependencies, and control and binding, can be easily expressed. ICG is a kind of unification-based formalism. Therefore it inherits the advantages of unification-based formalisms and more.
8235303
Segmentation Standard for Chinese Natural Language Processing
This paper proposes a segmentation standard for Chinese natural language processing. The standard is proposed to achieve linguistic felicity, computational feasibility, and data uniformity. Linguistic felicity is maintained by defining a segmentation unit to be equivalent to the theoretical definition of word, and by providing a set of segmentation principles that are equivalent to a functional definition of a word. Computational feasibility is ensured by the fact that the above functional definitions are procedural in nature and can be converted to segmentation algorithms, as well as by the implementable heuristic guidelines which deal with specific linguistic categories. Data uniformity is achieved by stratification of the standard itself and by defining a standard lexicon as part of the segmentation standard.
5140295
A Chinese Corpus for Linguistic Research
This is a project note on the first stage of the construction of a comprehensive corpus of both Modern and Classical Chinese. The corpus is built with the dual aim of serving as the central database for Chinese language processing and for supporting in-depth linguistic research in Mandarin Chinese.
1034949
Character-based Collocation for Mandarin Chinese
This paper describes a characters-based Chinese collocation system and discusses the advantages of it over a traditiolml word-based systcm. Since wordbreaks are not conventionally marked in Chinese text corpora, a character-based collocation system has the dual advantages of avoiding pre-proccssing distortion and directly accessing sub-lexical information. Furthermore, word-based collocational properties can be obtained through an auxiliary modttle of automatic segmentation. corpora as they are, we ",viii be able to access sub-lexical information without additional cost. To take the full advantage of the nature of texts, reliable tools can also be devised to obtain [exical collocation. In this paper, we ,,viii describe the design and implementation e r a Chinese collocational system that does not require the preprocessing of automatic segmentation but is awe to allow both lexical and sub-lexical information be automatically extracted.
1691242
The Open Language Archives Community and Asian Language Resources
The Open Language Archives Community (OLAC) is a new project to build a worldwide system of federated language archives based on the Open Archives Initiative and the Dublin Core Metadata Initiative. This paper aims to disseminate the OLAC vision to the language resources community in Asia, and to show language technologists and linguists how they can document their tools and data in such a way that others can easily discover them. We describe OLAC and the OLAC Metadata Set, then discuss two key issues in the Asian context: language classification and multilingual resource classification.
45286257
Toward a Rule-Based Synthesis of Emotional Speech on Linguistic Descriptions of Perception
This paper reports rules for morphing a voice to make it be perceived as containing various primitive features, for example, to make it sound more “bright” or “dark”. In a previous work we proposed a three-layered model, which contains emotional speech, primitive features, and acoustic features, for the perception of emotional speech. By experiments and acoustic analysis, we built the relationships between the three layers and reported that such relationships are significant. Then, a bottom-up method was adopted in order to verify the relationships. That is, we morphed (resynthesized) a speech voice by composing acoustic features in the bottommost layer to produce a voice in which listeners could perceive a single or multiple primitive features, which could be further perceived as different categories of emotion. The intermediate results show that the relationships of the model built in previous work are valid.
9038741
Semantic Scoring Based on Small-World Phenomenon for Feature Selection in Text Mining
This paper proposes an effective scoring scheme for feature selection in Text Mining, using characteristics of Small-World Phenomenon on the semantic networks of documents. Our focus is on the reservation of both syntactic and statistical information of words, rather than solely simple frequency summarization in prevailing scoring schemes, such as TFIDF. Experimental results on TREC dataset show that our scoring scheme outperforms the prevailing schemes.
7095140
Secure Multicast Using Proxy Encryption
In a secure multicast communication environment, only valid members belong to the multicast group could decrypt the data. In many previous researches, there is one “group key” shared by all group members. However, this incurs the so-called “1 affects n problem,” that is, an action of one member affects the whole group. We believe this is the source of scalability problems. Moreover, from the administrative perspective, it is desired to confine the impacts of changing membership events in a local area. In this paper, we propose a new secure multicast architecture without using a group key. We exploit a cryptographic primitive “proxy encryption.” It allows routers to convert a ciphertext encrypted under a key to a ciphertext encrypted under another key, without revealing the secret key and the plaintext. By giving proper keys to intermediate routers, routers could provide separation between subgroups. Therefore the goals of scalability and containment are achieved.
17604511
POINT: a database for the prediction of protein-protein interactions based on the orthologous interactome
One possible path towards understanding the biological function of a target protein is through the discovery of how it interfaces within protein-protein interaction networks. The goal of this study was to create a virtual protein-protein interaction model using the concepts of orthologous conservation (or interologs) to elucidate the interacting networks of a particular target protein. POINT (the prediction of interactome database) is a functional database for the prediction of the human protein-protein interactome based on available orthologous interactome datasets. POINT integrates several publicly accessible databases, with emphasis placed on the extraction of a large quantity of mouse, fruit fly, worm and yeast protein-protein interactions datasets from the Database of Interacting Proteins (DIP), followed by conversion of them into a predicted human interactome. In addition, protein-protein interactions require both temporal synchronicity and precise spatial proximity. POINT therefore also incorporates correlated mRNA expression clusters obtained from cell cycle microarray databases and subcellular localization from Gene Ontology to further pinpoint the likelihood of biological relevance of each predicted interacting sets of protein partners.
10038411
On personal data license design and negotiation
Web applications often require users to provide personal information for customization, identification, or completing a transaction. However, the way we disclose our information in current cyberspace does not allow us to control the usage, release and circulation of the information, violating the basic principle of personal information privacy. Online personal data licensing (OPDL) is a framework to bring the control of personal information back to individuals by requiring application and service providers to obtain a license from a person before collecting, processing, and using his personal information. In this paper we present the license design and automation of the license negotiation process.