[PDF] Top 20 A Maximum Entropy Chinese Character Based Parser
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A Maximum Entropy Chinese Character Based Parser
... Chinese word segmentation is a well-known prob- lem that has been studied extensively (Wu and Fung, 1994; Sproat et al., 1996; Luo and Roukos, 1996) and it is known that human agreement is relatively low. Without ... See full document
8
Chinese Microblogs Sentiment Classification using Maximum Entropy
... The other one is mainly based on the machine learning approach. These method have been employ in text classification and continue to be used in short-text like microblog sentiment classification. Classical model ... See full document
9
Mencius: A Chinese Named Entity Recognizer Using the Maximum Entropy-based Hybrid Model
... follow Chinese name composition ...a character and its context (history) correspond to a feature condition, the value of the current character for that feature will be set to ...preceding ... See full document
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Applying Maximum Entropy to Robust Chinese Shallow Parsing
... Since there are many unknown words in Chinese [11], a Chinese shallow parser must be robust against such words [22]. For example, it is not hard to correctly chunk the sentence “高漸離/擊筑/的/ ... See full document
15
Maximum Entropy for Chinese Comma Classification with Rich Linguistic Features
... course relation can be generally classified into explicit relation and implicit relation. Explicit relation recog- nition is to identify the logical relationship between two arguments in the presence of conjunctions (Sun ... See full document
7
Semantic pattern learning through maximum entropy based WSD technique
... Semantic patterns, as defined in this method, con- figure a system to add a new information source to Natural Language Processing (NLP) tasks. To obtain these semantic patterns, it is necessary to count on different ... See full document
7
Exploiting Pinyin Constraints in Pinyin-to-Character Conversion Task: a Class-Based Maximum Entropy Markov Model Approach
... semantic based smoothing [Xiao et ...traditional Chinese input methods as far as we know, is reported for CSM on the Phoneme-to-Character Conversion ... See full document
24
Chinese Sentiment Analysis Using Maximum Entropy
... using maximum Entropy, the first step is to identify a set of feature functions which define a ...distribution. Maximum Entropy models are feature-based ...the Maximum ... See full document
5
Maximum Entropy Based Restoration of Arabic Diacritics
... state-of-the-art system evaluated on Arabic Tree- bank Part 2: in (Nelken and Shieber, 2005) a DER of 12.79% and a WER of 23.61% are reported. The system they described in (Nelken and Shieber, 2005) uses lexical, ... See full document
8
Maximum Entropy Based Phrase Reordering for Hierarchical Phrase Based Translation
... the maximum entropy (MaxEnt) model to help the HPB decoder select appropriate re- ordering ...pattern based on var- ious contextual ...On Chinese-to-English translation, the absolute ... See full document
9
A Shallow Discourse Parsing System Based On Maximum Entropy Model
... 2008) which provides detailed annotations about the discourse relations and argument spans ad- dresses this problem. Besides, much research about discourse parsing working on the PDTB ap- pears (Prasad et al., 2010; Lin ... See full document
5
A Corpus-based Chinese Syllable-to-Character System
... To find the grams with minimum base syllable distance from a given gram, we start to find the bucket first which the grams belong to. Our searching is done with the string matching algorithm proposed by Du and Chang ... See full document
14
Chinese Chunking Based on Maximum Entropy Markov Models
... Table 16 shows the number and percentage of each type of error in the MEMM results, compared with those in the HMM and MEM results. Four types of Chinese chunking errors are defined: wrong labeling, ... See full document
22
Chinese Part of Speech Tagging: One at a Time or All at Once? Word Based or Character Based?
... a Chinese sentence. However, since words are not demarcated in a Chinese sentence, Chinese POS tagging requires word segmentation as a ...perform Chinese POS tagging strictly after word ... See full document
8
Chinese Tagging Based on Maximum Entropy Model
... It can be seen that our results were unexpectedly low in accuracy. After releasing the results, we found that the problem was due to the encoding problem of our submitted result files. The problem probably occurred after ... See full document
5
A Linear Observed Time Statistical Parser Based on Maximum Entropy Models
... The maximum entropy parser presented here achieves a parsing accuracy which exceeds the best previously published results, and parses a test sen- tence in linear observed time, with resp[r] ... See full document
10
A Chinese LPCFG Parser with Hybrid Character Information
... use Maximum Entropy (ME) Model to com- pute probabilities of candidate ...function, Maximum Entropy can exploit kinds of features flexibly, some of which are very important to improve the ... See full document
7
A Maximum Entropy Approach to Chinese Spelling Check
... a Chinese sentence, no character can exist ...target character. For ex- ample, when we train the character “國” (coun- try), we select the n-gram “中華民國十三年 ” as the training ...middle ... See full document
5
A 'Maximum Entropy'-Based Novel Numerical Methodology for Problems in Statistical Electromagnetics
... this entropy-based approach would be an attractive choice for a large class of problems without any restriction on the number of variables or the density functions these variables are allowed to ... See full document
9
Extracting Narrative Timelines as Temporal Dependency Structures
... tree parser in terms of labeled attachment score ...graph- based models like the maximum spanning tree parser should be able to produce more globally consistent and correct dependency trees, ... See full document
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