[PDF] Top 20 Chinese NER Using Lattice LSTM
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Chinese NER Using Lattice LSTM
... for NER. Hammerton (2003) attempted to solve the problem using a uni- directional LSTM, which was among the first neu- ral models for ...an LSTM-CRF ...character LSTM in- ... See full document
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An Encoding Strategy Based Word Character LSTM for Chinese NER
... based LSTM-CRF model and uses extra ”shortcut paths” to link the memory cell between the start and the end characters of a word for utilizing word ...cause lattice model to degenerate into a partial ... See full document
11
A Lexicon Based Graph Neural Network for Chinese NER
... for Chinese NER (Huang et ...a lattice LSTM to model characters and potential words simul- ...their lattice LSTM used a concatenation of independently trained left-to- right and ... See full document
11
Improving Named Entity Recognition for Chinese Social Media with Word Segmentation Representation Learning
... and NER models. The LSTM word segmentor learns two different types of representations: 1) embeddings for each charac- ter and 2) hidden vectors for predicting segmenta- tion ...on using richer word ... See full document
7
CAN NER: Convolutional Attention Network for Chinese Named Entity Recognition
... co-trained NER and word segmentation to improve perfor- mance in both ...word-character lattice by matching words in texts with a lexicon to avoid segmen- tation ...train Chinese NER task and ... See full document
10
Entity recognition in Chinese clinical text using attention-based CNN-LSTM-CRF
... and LSTM-CRF, then investigate the effects of the CNN layer and attention layer respectively, and finally compare attention-based CNN-LSTM-CRF with other state-of- the-art systems on ...general NER, ... See full document
9
Lattice CNNs for Matching Based Chinese Question Answering
... In recent years, many researchers have become interested in utilizing all sorts of external or multi-granularity informa- tion in matching tasks. (Yin and Sch¨utze 2015) exploit hid- den units in different depths to ... See full document
8
Lattice CNNs for Matching Based Chinese Question Answering
... In recent years, many researchers have become interested in utilizing all sorts of external or multi-granularity informa- tion in matching tasks. (Yin and Sch¨utze 2015) exploit hid- den units in different depths to ... See full document
8
A Neural Multi digraph Model for Chinese NER with Gazetteers
... maximizing the total number of matched tokens in a sentence results in wrongly matched entity 张 三在 (Zhang Sanzai) instead of 张 三 (Zhang San). While such solutions either rely on manual ef- forts for rules, templates or ... See full document
6
Chinese NER with Height-Limited Constituent Parsing
... For the overall entities, the unified model is observed to outperform previous character-based methods by 2.79 points in F1 (from 73.88% to 76.67%), and it also outperforms pre- vious word-based method with gold ... See full document
8
Subword Encoding in Lattice LSTM for Chinese Word Segmentation
... tice LSTM structure (Zhang and Yang, ...and lattice LSTM introduces subwords into character LSTM ...replace LSTM with lattice LSTM using subwords to encode ... See full document
6
Chinese Grammatical Error Diagnosis Based on Policy Gradient LSTM Model
... The goal of The NLPTEA CGED task is to use a model to perform a grammar diagnosis on a data set containing Chinese sentences, these datasets are written by Chinese Foreign Language (CFL) leaner. These ... See full document
6
Non-Deterministic Segmentation for Chinese Lattice Parsing
... input lattice of the parser, does not give us good segmen- tation and parsing ...performance. Using the 5-best CRF analyses, the lexicon based on those 5 anal- yses, and the combination with training words ... See full document
9
Arabic Dialect Identification with Deep Learning and Hybrid Frequency Based Features
... That can enable the training of embeddings from scratch on large data, and it can also be used on language model training improving the perfor- mance of models based on such techniques. The training of embeddings on such ... See full document
5
Long short term memory networks for body movement estimation
... Although the process of calculating the output is performed recursively, training a RNN is similar to training a FFNN and is per usual done with a variant on the backpropaga- tion algorithm [10]. In this variant, called ... See full document
13
Improving NER in Arabic Using a Morphological Tagger
... In addition to these word-identity features, we define features that reflect membership in word classes derived through a statistical analysis of a large repository of Ara- bic newswire articles (Arabic Gigaword). In ... See full document
6
Chinese Grammatical Error Diagnosis Based on CRF and LSTM CRF model
... English, Chinese has no verb tenses or pluralities, and meanwhile there are various ways to express the same meaning in Chinese, so Chinese has been considered as one of the most difficult languages ... See full document
7
A novel approach to workload prediction using attention based LSTM encoder decoder network in cloud environment
... 9c, LSTM, the red polyline, is almost not following the black ...than LSTM, which indicates that the encoder-decoder architecture is effective in reducing devia- ... See full document
18
Original Article Association of NER pathway gene polymorphisms with susceptibility to laryngeal cancer in a Chinese population
... a Chinese population, espe- cially in smokers and drinkers ...a Chinese population, and they also suggested that ERCC1 rs11615 and ERCC5 rs17655 polymor- phisms are correlated with an elevated risk of ... See full document
7
Original Article Association between ERCC1 rs3212986 and ERCC2 rs13181 gene polymorphisms in NER pathway and the risk of bladder cancer in a Chinese population
... the NER complex, and it has interaction with XPA, XPF and/or RPA, guid- ing the 5’ cleavage activity in the NER pathway [22, ...during NER [25- ...of NER pathway as well as influencing cancer ... See full document
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