[PDF] Top 20 A Semantic Specific Model for Chinese Named Entity Translation
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A Semantic Specific Model for Chinese Named Entity Translation
... based model for person names’ translation Considering Table 7, though there is a slight drop comparing our model with origin-based model for the Japanese person names, the trans- lation ... See full document
9
Cluster specific Named Entity Transliteration
... incorrect model selection, and result in bad transliteration performance in the next ...3-gram model achieves the highest classification ...a Chinese American, was classified as a Chinese name ... See full document
8
Chinese Named Entity Recognition with Bert
... network model for Chinese named entity recognition and achieves more advanced ...context semantic information to construct character ...add Chinese radical information to the ... See full document
8
A Class-based Language Model Approach to Chinese Named Entity Identification
... Named Entity (NE) identification is the problem of detecting entity names in documents and then classifying them into corresponding ...hand, Chinese NE identification is a different task ... See full document
28
A Phrase Based Context Dependent Joint Probability Model for Named Entity Translation
... LDC Chinese-English NE translation corpus ...of Chinese-Latin language NE en- ...NE translation experiment, as indicated in bold in Table ... See full document
12
Mencius: A Chinese Named Entity Recognizer Using Hybrid Model
... include named corporate, governmental, or other organizational ...of Chinese organization names, we found that organization names are mostly ended with a specific keyword or led by a location ... See full document
17
Chinese named entity recognition algorithm based on the improved hidden Markov model
... On the course of writing this paper till the moment of its completion, there are those who contributed to this work that I would like to express my gratefulness here. One is Mr. LI Pengfei, my husband, having been ... See full document
5
Named Entity Recognition for Chinese Social Media with Jointly Trained Embeddings
... Fine-tuning has a disadvantage: it can arbitrar- ily deviate from the settings obtained from train- ing on large amounts of raw text. Recent work has instead tuned embeddings for a specific task, while maintaining ... See full document
7
An Agent based Approach to Chinese Named Entity Recognition
... Chinese NE recognition is a difficult problem because of the uncertainty in word segmentation. Many existing techniques that require knowledge of word segmentation, and syntactic and semantic tagging of ... See full document
7
Improving clinical named entity recognition in Chinese using the graphical and phonetic feature
... Clinical Named Entity Recognition is to find the name of diseases, body parts and other related terms from the given ...Because Chinese language is quite different with English language, the machine ... See full document
7
Named Entity Recognition in Chinese News Comments on the Web
... Recently, a few works have investigated the task over informal English texts such as emails and blogs. Huang et al. (2001) address the prob- lem of extracting identity and phone number of the caller from voicemail ... See full document
9
Neural Machine Translation for Bilingually Scarce Scenarios: a Deep Multi Task Learning Approach
... machine translation requires large amounts of parallel training text to learn a reasonable-quality translation ...machine translation task on auxiliary tasks including semantic parsing, ... See full document
10
Cheap Translation for Cross Lingual Named Entity Recognition
... probable translation is mujer, because it shows up in other contexts in the dictionary, such as farm woman or young woman, whereas translations such as joven cooccur infre- quently with ... See full document
10
The CIPS SIGHAN CLP 2012 ChineseWord Segmentation onMicroBlog Corpora Bakeoff
... In consideration of the characteristics de- scribed above, a successful word segmentation system on the MicroBlog corpora should take into consideration the special linguistic phenom- ena of the MicroBlog corpora and ... See full document
6
Towards Universal Semantic Tagging
... a semantic contribution of the token with respect to the meaning of the source ...of semantic compositionality underlies the semantic ...the semantic information that complements thematic ... See full document
9
Chinese Name Disambiguation Based on Adaptive Clustering with the Attribute Features
... same entity to be clustered ...a named entity dis- ambiguation task, which they use the term entity ...same entity, if this entity is not included in the ...[1]—-Named ... See full document
6
Neural Machine Translation Techniques for Named Entity Transliteration
... Transliterating named entities from one lan- guage into another can be approached as neural machine translation (NMT) prob- lem, for which we use deep attentional RNN encoder-decoder ...regularization, ... See full document
6
The Fourth International Chinese Language Processing Bakeoff: Chinese Word Segmentation, Named Entity Recognition and Chinese POS Tagging
... while Chinese word segmentation, named entity recognition and Chinese POS tagging are im- portant in themselves, these three enabling technolo- gies are also the foundation of those upper ... See full document
13
Chinese Named Entity Recognition Using Role Model
... on Chinese NER, but the research is still in its early ...role model, previous works have some ...role model, the mapping from roles to entities is done based on by simple ... See full document
32
A Joint Chinese Named Entity Recognition and Disambiguation System
... with named entity Pre-processing, Recognition, Linking and Clustering ...the named entities they refer ...our model into four independent parts but all work together to deal with named ... See full document
6
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