[PDF] Top 20 Automatic Chinese Confusion Words Extraction Using Conditional Random Fields and the Web
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Automatic Chinese Confusion Words Extraction Using Conditional Random Fields and the Web
... Since the cost of manual compilation is high, Chen et al. (2009) proposed an automatic method that can collect these common errors from a cor- pus. The idea is similar to template generation, which builds a ... See full document
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Learning to Find Translations and Transliterations on the Web based on Conditional Random Fields
... the Web, a promising approach is automatically learning to extract phrasal translations or transliterations of a given query using the conditional random fields (CRF) ...an ... See full document
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Soft Computing Techniques in Cyber Defense
... [28] Propose 2D conditional random fields (2D CRFs). 2D CRFs are also a particular case of CRFs. They are aimed at extracting object information from two-dimensionally laid-out Web pages. The ... See full document
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Chunk Parsing and Entity Relation Extracting to Chinese Text by Using Conditional Random Fields Model
... in Web sites and various digital ...relation extraction is used in establishing relationship between ...in Chinese text understanding, many researchers is more interesting in chunk analysis and ... See full document
8
Dialog State Tracking using Conditional Random Fields
... After tracker outputs are generated based on the sampling results, they are scored using evaluation tools provided by the DSTC organizers. Several metrics are evaluated, including precisions, ROC performance, etc. ... See full document
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Semi Supervised Chinese Word Segmentation Using Partial Label Learning With Conditional Random Fields
... There is rich knowledge encoded in on- line web data. For example, punctua- tion and entity tags in Wikipedia data define some word boundaries in a sen- tence. In this paper we adopt partial-label learning with ... See full document
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Transliteration Extraction from Classical Chinese Buddhist Literature Using Conditional Random Fields with Language Models
... quantifier words are regarded as binary features. The transliteration extraction problem is formulated as a sequential tagging problem, and the CRF method is used to train a model to extract the ... See full document
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A Preliminary Work on Symptom Name Recognition from Free Text Clinical Records of Traditional Chinese Medicine using Conditional Random Fields and Reasonable Features
... for words in Chinese sentences. Therefore, Chinese word segmentation problem has to face up firstly (Gao, et ...into words is not trivial and common Chinese word segmentation methods ... See full document
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Automatic Identification of Rhetorical Roles using Conditional Random Fields for Legal Document Summarization
... for automatic identification of rhetorical roles in legal judgments based on rules and on machine learning ...techniques. Using manually annotated sample documents on three different legal sub-domains (rent ... See full document
8
Towards Definition Extraction Using Conditional Random Fields
... Once the documents were collected, converted, pre-processed and automatically parsed, the next step was to semi-automatically annotate the termi- nology. For this, we benefited from an API for Python of the Yahoo! Term ... See full document
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Supervised Metaphor Detection using Conditional Random Fields
... Our work is different from earlier works in terms of improved and rich feature set that we employ. Unlike previous works which used a subset of conceptual features, we utilize a multifarious feature set. Along with that, ... See full document
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Training Conditional Random Fields Using Incomplete Annotations
... The proposed method is applicable to other structured output tasks in NLP, such as syntactic parsing, information extraction, and so on. How- ever, there are some NLP tasks, such as the word alignment task (Taskar ... See full document
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Term Contributed Boundary Feature using Conditional Random Fields for Chinese Word Segmentation Task
... In this paper we propose a novel feature named term contributed boundary (TCB) for CRF model training. Since term contributed boundary extraction [10] is unsupervised, it is suitable for closed training task that ... See full document
14
Chunking Using Conditional Random Fields in Korean Texts
... The conditional approach views the chunking task as a sequence of classification problems, and defines a conditional probability p(Y|X) over label sequence given input ...of conditional models ... See full document
10
Automatic Grammatical Error Detection for Chinese based on Conditional Random Field
... learn Chinese. The HSK is an international standardized test for Chinese language proficiency of non-native ...study Chinese often make grammatical errors such as Mission(M), Disorder(W), Selec- tion ... See full document
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Investigating Genotype-Phenotype relationship extraction from biomedical text
... Krauthammer et al. [59] use BLAST as an inexact matching algorithm. The BLAST [5] programs are capable of searching similarities between sequences in protein and DNA databases. In this approach, they translate a list of ... See full document
148
Layered Approach for Intrusion Detection System Using Hidden Conditional Random Fields M. Mangaleswaran
... Once the anomalous activity occurs, we can prevent it. The admin may log on to the system locally or remotely. If the admin is at local level then he/she can view the running activities, or he/she can stop the anomalous ... See full document
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Normalized Accessor Variety Combined with Conditional Random Fields in Chinese Word Segmentation
... In Chinese text, each substring of a whole sentence can potentially form a word, but only some substrings carry clear meanings and thus form a correct word. Accessor variety (AV), sparked by [7] is used to ... See full document
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Automatic construction of complex features in Conditional Random Fields for Named Entities Recognition
... we present the motivation for complex features generation and explain, why the current state-of- the-art approach based on Conditional Random Fields cannot model complex dependences be- tween ... See full document
7
English to Chinese Machine Transliteration using Accessor Variety Features of Source Graphemes
... of Chinese is that almost all Chinese char- acters are monosyllabic, which reflects the situa- tion of “double phoneme” mentioned in Section ...from confusion of phoneme, grapheme, character, and ... See full document
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