15125228
Web Mining for Lexical Context-Specific Paraphrasing
In most applications of paraphrasing, contextual information should be considered since a word may have different paraphrases in different contexts. This paper presents a method that automatically acquires lexical context-specific paraphrases from the web. The method includes two main stages, candidate paraphrase extraction and paraphrase validation. Evaluations were conducted on a news title corpus whereby the context-specific paraphrasing method was compared with the Chinese synonymous thesaurus. Results show that the precision of our method is above 60% and the recall is above 55%, which outperforms the thesaurus significantly.
656139
HIT: Web based Scoring Method for English Lexical Substitution
This paper describes the HIT system and its participation in SemEval-2007 English Lexical Substitution Task. Two main steps are included in our method: candidate substitute extraction and candidate scoring. In the first step, candidate substitutes for each target word in a given sentence are extracted from WordNet. In the second step, the extracted candidates are scored and ranked using a web-based scoring method. The substitute ranked first is selected as the best substitute. For the multiword subtask, a simple WordNet-based approach is employed.
17190379
Real-Coded Quantum Evolutionary Algorithm Based on Immune Theory for Multi-modal Optimization Problems
A novel real-coded immune quantum evolutionary algorithm for multi-modal function optimization (MRIQEA) is proposed. By niching methods population is divided into subpopulations automatically, local search is carried by the immune mechanism, each subpopulation can obtain precise solutions, and then the population can maintain all optimal solutions. Because of the quantum evolutionary algorithm with intrinsic parallelism it can maintain quite nicely the population diversity than the classical evolutionary algorithm, because of the adaptive immune operator and real representation for the chromosome it can converge to all optimal solutions rapidly. The technique for improving the performance of MRIQEA has been described and its superiority is shown by some simulation experiments in this paper.
16092814
Chinese Question Classification Based on Ensemble Learning
In this paper, a method of Chinese question classification based on ensemble learning is proposed. Words and bi-gram are extracted from question as classic features and feature classifiers are constructed. The classifiers are kinds of simple classifier and their generalization ability are not strong enough, but they are a qualified base learner for ensemble because of their low computational cost, and the generalization feasibility improved with the help of ensemble learning. We translate and modify the UIUC question set and TREC2001 question set as Chinese question set. Experimental results on the corpus show that the proposed method can achieve good performance, the classification precision reaches 87.6%, under the fine grained question types.
481284
A Novel Method for Image Spam Filtering
As spamming morphs from text-only to multi-media in content, the existing text-based spam filters are no longer effective for the task. Image analysis technology will provide an effective tool to solve the above problem. This paper proposes a novel filter approach that focuses on the spam which change the content text to image files, or embed the spam message into attached images. Spam images are analyzed and specific features are selected for inspection based on components-based method. Then the network junk-mail-filter system can use these features to identify whether to filter the mail or not by feature matching. Experiments show that our method is efficient in inspecting document images with different geometric structure. The proposed method has potential applications in document image information extraction and filtering.
34579762
Implementation of FC-1 and FC-2 Layer for Multi-Gigabit Fibre Channel Transport
Fibre Channel (FC) is a high performance, low-latency data transfer technology that dominates today's high-end Storage Area Networks (SAN) market. This paper presents the design and implementation of Fibre Channel FC-1 and part of FC-2 layer for multi- gigabit Fibre Channel applications such as point-to-point and fabric interconnect. For efficient implementation, we have used the protocol-optimized hardware modules, such as on-the-fly CRC checking, frame length verification modules for frame receiving, CRC calculation and EOF generation modules for frame transmitting, to reduce the network latency. We also present an efficient method for buffer-to-buffer credit recovery, the basic idea of our method is to recover lost credits within the local as well as the remote port and avoid blocking of transmitters in long term. In the experiment, we build a 2G FC SCSI initiator using this logic core. The experimental results show that the initiator can reach a maximum throughput of 189.52MB/s for reading a RAMDisk target on the remote computer equipped with a QLA2310FCHBA.
5849129
A new physical model with multilayer architecture for facial expression animation using dynamic adaptive mesh
This paper presents a new physically-based 3D facial model based on anatomical knowledge which provides high fidelity for facial expression animation while optimizing the computation. Our facial model has a multilayer biomechanical structure, incorporating a physically-based approximation to facial skin tissue, a set of anatomically-motivated facial muscle actuators, and underlying skull structure. In contrast to existing mass-spring-damper (MSD) facial models, our dynamic skin model uses the nonlinear springs to directly simulate the nonlinear visco-elastic behavior of soft tissue and a new kind of edge repulsion spring is developed to prevent collapse of the skin model. Different types of muscle models have been developed to simulate distribution of the muscle force applied on the skin due to muscle contraction. The presence of the skull advantageously constrain the skin movements, resulting in more accurate facial deformation and also guides the interactive placement of facial muscles. The governing dynamics are computed using a local semiimplicit ODE solver. In the dynamic simulation, an adaptive refinement automatically adapts the local resolution at which potential inaccuracies are detected depending on local deformation. The method, in effect, ensures the required speedup by concentrating computational time only where needed while ensuring realistic behavior within a predefined error threshold. This mechanism allows more pleasing animation results to be produced at a reduced computational cost.