Chao-Hong Liu

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Sentence correction has been an important emerging issue in computer-assisted language learning. However, existing techniques based on grammar rules or statistical machine translation are still not robust enough to tackle the common errors in sentences produced by second language learners. In this paper, a relative position language model and a parse(More)
AIM To explore the effect of gastrin 17 (G17) on beta-catenin/T cell factor-4 (Tcf-4) signaling in colonic cancer cell line Colo320WT. METHODS The pCR3.1/GR plasmid, which expresses gastrin receptor, cholecystokinin-2 receptor (CCK-2R), was transfected into a colonic cancer cell line Colo320 by Lipofectamine (TM)2000 and the stably expressing CCK-2R(More)
The paper describes the OntoNotes, a multilingual (English, Chinese and Arabic) corpus with large-scale semantic annotations, including predicate-argument structure, word senses, ontology linking, and coreference. The underlying semantic model of OntoNotes involves word senses that are grouped into so-called sense pools, i.e., sets of near-synonymous senses(More)
Sentence correction has been an important and emerging issue in computer-assisted language learning. However, existing techniques based on grammar rules or statistical machine translation are still not robust enough to tackle the common incorrect word order errors in sentences produced by second language learners of Chinese. In this paper, a novel relative(More)
Chinese character correction involves two major steps: 1) Providing candidate corrections for all or partially identified characters in a sentence, and 2) Scoring all altered sentences and identifying which is the best corrected sentence. In this paper a web-based measure is used to score candidate sentences, in which there exists one continuous error(More)
In the task of Spoken Language Understanding (SLU), Intent Classification techniques have been applied to different domains of Spoken Dialog Systems (SDS). Recently it was shown that intent classification performance can be improved with Semantic Role (SR) information. However, using SR information for SDS encounters two difficulties: 1) the stateof-the-art(More)
We propose and formally characterize a new problem named the dynamic context coverage problem in capability-constrained mobile sensor network environments. The goal is to move and adjust a network of mobile sensors with limited sensing capabilities to quickly achieve good coverage of dynamic changing contexts and continuously maintain the level of coverage.(More)
Comparable corpora have been shown to be useful in several multilingual natural language processing (NLP) tasks. Many previous papers have focused on how to improve the extraction of parallel data from this kind of corpus on different levels. In this paper, we are interested in improving the quality of bilingual comparable corpora according to increased(More)
Tubulopapillary hidradenoma (TPH)1 is a term proposed to describe morphological dermal ductal tumors with both eccrine and apocrine differentiation. The term TPH encompasses a spectrum of lesions that includes tubular apocrine adenoma (TAA) and papillary eccrine adenoma (PEA):2 PEA and TAA can be indistinguishable both clinically and histologically. We(More)
In this study, considering the effect of phrase grouping in spontaneous speech, prosodic words, instead of lexical words, are adopted as the units for error correction of speech recognition results. The prosodic words and the corresponding mis-recognized word fragments are obtained from a speech database to construct a mis-recognized word fragment table for(More)