[PDF] Top 20 Improved Chinese Parsing Using Named Entity Cue

... Most high-performance parsers is based on proba- bilistic context-free grammars (PCFGs). They all re- fine grammar labels to capture more syntactic char- acteristic, ranging from full lexicalization and intri- cate ... See full document

... The Named Entity is the primary carrier of information. Therefore the NER becomes the chief task in information processing. The Message Understanding Conference(MUC) which is held by America Defense ... See full document

... is improved significantly in our BiLSTM-Att- CRF model, especially in types of “Operation” and “Drug” entities which always difficult to ...the entity when the keyword is closed to it in the context, but ... See full document

... as parsing and machine translation. Chinese tokeniza- tion, as the foundation of many downstream pro- cessing tasks, has attracted lots of research ... See full document

... Generally speaking, a particular occurrence of a name string is insufficient to uniquely identify the corresponding entity. This is due to the fact that, in natural language, the same name string can refer to more ... See full document

... For the models presented, we set up a dropout which is 0.5 before input to GRU layer to avoid over-fitting, and observed that the result of the model can be improved to some extent. To update the parameters, we ... See full document

... joint parsing and semantic role labeling, but the best systems (Johansson and Nugues, 2008) were the ones which completely decoupled the ...joint parsing and semantic role label- ing (Sutton and McCallum, ... 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 ...(as cue-word) in a token sequence, we compute the likelihood of this token ... See full document

... also improved a statistical machine translation by incorporating the extract- ed relations into the baseline translation ...pairs using conditional log-linear ...extract Chinese abbreviations and ... See full document

... and named entities jointly resulted in improved per- formance on ...was improved by the joint model for five of the six datasets, by up to ...the parsing improvements on a per-label basis, the ... See full document

... With the development of NER, there have been some researches on combining this compo- nent with entity linking (EL). Stern et al. (2012) introduced a system based on a joint application of NER and EL, where the ... See full document

... The Adaptive Algorithm Thought and the Pro- cess Description. The fuzzy clustering is a com- mon clustering method in pattern recognition, and has achieved very good effect on pre-classification of characters in ... See full document

... Automatic word segmentation is known as the first step towards Chinese natural language pro- cessing. However, satisfactory results have not been yielded as far as the performance of sen- tence-level segmentation ... See full document

... embeddings using word2vec (Mikolov et ...(2) using an alternative optimization strategy: we alternated 30 iterations of CRF training on the NE labeled data and 5 multi-threaded passes through both the ... See full document

... common Chinese character usage mainly due to the same origin (Russia), such as “ 卡 ”, “ 列 ”, and “ 夫 ” ...suggests using a global context as the knowledge base for the fi- nal translation ... See full document

... Although in theory, translation scores can build up relations within correct NE alignments, in practice this is not always the case, due to the characteristics of the corpus. This is more obvious when we have sparse ... See full document

... both Chinese and English [6, 7, 9], the words are split into subwords first, and the subword embeddings are then trained to form the embedding of ...when using primary radicals and pinyins, it is not a good ... See full document

... In this paper we describe the construction of a tagged corpus for Chinese NER. We define the criteria of Chinese NE tagging, and design a standard tagging procedure for NE corpus annotation. We also ... See full document

... Rule 4: Words of even lengths first, which would choose the sequence with most words of even lengths. There are several exceptions to this rule. First, personal names, transliteration names, and numerical expressions are ... See full document

... 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