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PDTB style Discourse Annotation of Chinese Text
... two text units. In contrast, if we apply the same scheme to the Chinese sentence, no dis- course relation will be picked out because this is just one comma-separated sentence with no explicit discourse ...
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Rephrasing Profanity in Chinese Text
... To our best knowledge, there is no much re- search work in NLP discussing about detecting and rephrasing profanity in Chinese text. As a prelimi- nary study, we only focused on the most frequent types of ...
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Recovering dropped pronouns from Chinese text messages
... such text messages are often generated via mobile devices in infor- mal settings and are limited in length, abbrevia- tions and omissions are ...in Chinese text messages, namely dropped ...
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Use of Event Types for Temporal Relation Identification in Chinese Text
... This paper investigates a machine learning approach for identification of temporal re- lation between events in Chinese text. We proposed a temporal relation annotation guideline (Cheng, 2007) and ...
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Unsupervised Segmentation of Chinese Text by Use of Branching Entropy
... from text bound- aries in Chinese text, we pre-processed the test data by segmenting sentences at punctuation locations to form text ...because Chinese words with a length of more than ...
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Identifying Foreign Person Names in Chinese Text
... of Chinese text, SProUT uses the tokenizer from the University of Shanxi, which also performs POS tagging (Liu, ...recognizes Chinese and foreign person names stored in a gazetteer (Section ...a ...
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Automatic Inference of the Temporal Location of Situations in Chinese Text
... In this paper, we are interested in investigating the kind of information that is relevant in inferring the temporal location of situations in Chinese text. We approach this problem by manually annotating ...
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A Radical-Aware Attention-Based Model for Chinese Text Classification
... on Chinese text classification with a special focus on the uti- lization of ...the Chinese text, we propose a Radical-aware Attention-based Four-Granularity (RAFG) model to jointly leverage ...
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Detection of Entity Mentions Occuring in English and Chinese Text
... raw text and presented the complex syntactic and categorical structure of the entity mentions speci- fied in the ACE ...for Chinese, using only the ACE data, are ...
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Unsupervised Classification of Sentiment and Objectivity in Chinese Text
... Our approach starts out with a seed vocabulary consisting of a single word, (good). This word is tagged as a positive vocabulary item; initially there are no negative items. The choice of word was arbitrary, and other ...
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Word Sense Disambiguation Using Sense Examples Automatically Acquired from a Second Language
... in Chinese, the country sense and the people sense are almost equally distributed, which might be the reason for its WSD accuracy be- ing lower with our systems than most of the other ...English text, which ...
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A Novel Approach – Automatic paper evaluation system
... the text image is matched . And then, the text image is recognized again with the best matched topic language ...offline Chinese text ...written Chinese text ...based ...
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Portable Document Format (PDF)
... and text-flow orientation (vertical and horizontal orientation) of RSVP display information on the visual performance of users during different stages of usage (whether current usage is the first, second, third, ...
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Chinese Novelty Mining
... novel Chinese text and discuss the influence of different Part of Speech (POS) filtering rules on the detection per- ...the Chinese novelty mining per- formance is quite different when choosing two ...
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Annotating dropped pronouns in Chinese newswire text
... Since different categories posed problems for each annota- tor, we believe that inter-annotator agreement scores could be significantly improved with a second stage of annotation training that honed in on those problem ...
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Leveraging Writing Systems Change for Deep Learning Based Chinese Emotion Analysis
... of text to be taken by the two ...of text in the parenthesis denotes the text for the LSTM ...second text is used by the CNN ...only Chinese text without WSCs is used by the ...
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Chinese Short Text Classification Based on Domain Knowledge
... The overall framework of our approach is shown in Figure 1. We firstly draw domain knowledge for each user-defined domain using the external corpus. Secondly, the correlation between a short text instance and a ...
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Autoencoder as Assistant Supervisor: Improving Text Representation for Chinese Social Media Text Summarization
... Our work is also related to the sequence-to- sequence model (Cho et al., 2014), and the au- toencoder model (Bengio, 2009; Liou et al., 2008, 2014). Sequence-to-sequence model is one of the most successful generative ...
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Expressions of Propositional Modality in Japanese and Chinese
... the Chinese translations are summarized in Table ...source text but not in the Chinese translations, while the “!” signifies that some Japa- nese modal expressions are missing in their Chinese ...
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