Titlebook: Natural Language Processing and Chinese Computing; First CCF Conference Ming Zhou,Guodong Zhou,Lei Zou Conference proceedings 2012 Springer

半圆凿

Contextual-and-Semantic-Information-Based Domain-Adaptive Chinese Word Segmentationies (OOVs), both the contextual information table and the semantic information are utilized based on Conditional Random Fields (CRFs) model to recall more OOVs and promote the performance of the CWS. This method is evaluated by the simplified domain-adaptive Chinese testing data from SIGHAN Bakeoff

团结

Exploration of N-gram Features for the Domain Adaptation of Chinese Word Segmentationh in which n-gram features from large raw corpus are explored to realize domain adaptation for Chinese Word Segmentation. The n-gram features include n-gram frequency feature and AV feature. We used the CRF model and a raw corpus consisting of 1 million patent description sentences to verify the pro

Tempor

Fusion of Long Distance Dependency Features for Chinese Named Entity Recognition Based on Markov Logdocument. This paper, Fusion of long distance dependency, proposes a method for Chinese Named Entity Recognition(NER) based on Markov Logic Networks(MLNs), which comprehensively utilizes local, short distance dependency and long distance dependency features by taking advantage of first order logic t

泥瓦匠

Learning Latent Topic Information for Language Model Adaptationg sentences that are topic similar to the translation task. Although the traditional methods have gained significant performance, they ignore the topic information and the distribution of words in calculating the sentence similarity. In this paper, the authors propose a topic model to discover the l

Merited

灌溉

eardrum

修剪过的树篱

Dependency Network Based Real-Time Query Expansionfirst built by merging dependency trees of large numbers of sentences from a large-scale corpus. User queries are then expanded to verb-noun pairs or verb-attributes-noun multiple grams based on relations in the network, which is helpful to identify user intentions and to reduce search spaces. Exper

Favorable

Instrumental

gens such as bacteria, fungi, virus, virus-like agents, nematodes, etc. are transmitted through seeds to the next generation. Seed transmission enables the earliest possible infection, which is a determining factor of disease severity. Plant viruses are the most important plant pathogens causing up