[PDF] Top 20 Attribute based Chinese Named Entity Recognition and Disambiguation

... Personal name ambiguity is so common in the web that most previous disambiguation systems choose to work on personal name disambiguation. The related task has been addressed by several researchers starting ... See full document

... rule based method, to im- prove the Chinese NE system’s ...character named entity ...the named entity recognition task over the informal Chinese news ... See full document

... We explore several types of embeddings for Chinese text and their effect on Chinese social media NER. Specifically, we make the following contributions. 1) We present the first system for NER on ... See full document

... ”(Fanglin Mountain). What’s more, previous approaches tended to work only on monosyllabic tokens, which are obvious fragments after tokenization [Luo, 2001; Lv et al. 2001]. This risks losing those NE that lack explicit ... See full document

... Chinese named entity recognition (NER) has re- cently been viewed as a classification or sequence labeling problem, and many approaches have been ...in Chinese NEs. We propose a new ... See full document

... Named entity recognition (NER) plays an im- portant role in the NLP literature. The tradi- tional methods tend to employ large annotated corpus to achieve a high performance. Differ- ent with many ... See full document

... This paper proposes a hybrid Chinese named entity recognition model based on multiple features. It differentiates from most of the previous approaches mainly as follows. Firstly, the ... See full document

... In the SIR-NERD system, we adopt a two-stage method which can incorporate classifying and clustering techniques for the personal name entity disambiguation task. In the first stage, the system preprocess ... See full document

... We have shown that coupling the tasks of NER and NED in a joint CRF-like model is beneficial. Our J-NERD method outperforms strong baselines on a variety of test datasets. The strength of J-NERD comes from three novel ... See full document

... As one of the reviewers pointed out, though the reliable high performance of MSRSeg is impressive, it is by far one of the most complex systems with access to the richest resources. Hence, another interesting area of our ... See full document

... hybrid named-entity recog- nizer based on capitalization rules, Web statistics, and statistics extracted from the CoNLL 2003 shared task data (Tjong Kim Sang and De Meulder, 2003) identifies the ... See full document

... research. Named Entity Recognition and Disambiguation are two basic operations in this extraction ...for Named Entity Recognition and Disambiguation as well as for ... See full document

... 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 ... See full document

... In the context of databases, traditional entity dis- ambiguation methods rely on similarity functions over attributes associated to the entities (de Car- valho et al., 2012). Obviously, such an approach is ... See full document

... The Russian chemist named Markov put forward the Markov Model in 1870, which is used to depict the sequence information of stochastic variable [7].It is regarded as stochastic and finite state automaton. There is ... See full document

... It’s similar to the standard of The SIGHAN Bakeoff 2007 NER track except for an additional tag “E”. Unlike the tag set used in word segmentation task, there is no “S” tag for single-character NEs. This kind of entities ... See full document

... 2.1 Named Entity and Its tokens Feature For clarity and without lost of generality, we focus our discussion mainly on PER ...PER based on the model defined ... See full document

... • representation of pseudo-entities (i.e. “Other” and “Out n” ): one team benefits from a ex- plicit representation of common words and out- of-KB entities (Peng et al., 2012), rather than using same set of feature for ... See full document

... In the previous research, the named entity recognition task was studied as a sequence labeling problem. In the machine learning-based method, the NER common model includes the generated model ... See full document

... with entity linking (EL). Stern et al. (2012) introduced a system based on a joint application of NER and EL, where the NER output is given to the linking component as a set of possible mentions, preserving ... See full document