Zhijun Wu: Chinese Semantic Dependency Parsing with Third-Order Features
نویسندگان
چکیده
This paper presents our system participated on SemEval-2012 task: Chinese Semantic Dependency Parsing. Our system extends the second-order MST model by adding two third-order features. The two third-order features are grand-sibling and tri-sibling. In the decoding phase, we keep the k best results for each span. After using the selected third-order features, our system presently achieves LAS of 61.58% ignoring punctuation tokens which is 0.15% higher than the result of purely second-order model on the test dataset.
منابع مشابه
Feature Engineering in Persian Dependency Parser
Dependency parser is one of the most important fundamental tools in the natural language processing, which extracts structure of sentences and determines the relations between words based on the dependency grammar. The dependency parser is proper for free order languages, such as Persian. In this paper, data-driven dependency parser has been developed with the help of phrase-structure parser fo...
متن کاملImproving Dependency Parsing with Fined-Grained Features
In this paper, we present a simple and effective fine-grained feature generation scheme for dependency parsing. We focus on the problem of grammar representation, introducing fine-grained features by splitting various POS tags to different degrees using HowNet hierarchical semantic knowledge. To prevent the oversplitting, we adopt a threshold-constrained bottomup strategy to merge the derived s...
متن کاملChinese Question Classification from Approach and Semantic Views
This paper presents new Chinese question taxonomy respectively from approach and semantic viewpoints. According to the taxonomy, we propose a SVM classification algorithm which is based on multiple features. The experimental results show that: 1 Lexical semantic features and structural features are the guarantee of high performance of question classification; 2 The contribution of dependency re...
متن کاملIHS-RD-Belarus at SemEval-2016 Task 9: Transition-based Chinese Semantic Dependency Parsing with Online Reordering and Bootstrapping
This paper is a description of our system developed for SemEval-2016 Task 9: Chinese Semantic Dependency Parsing. We have built a transition-based dependency parser with online reordering, which is not limited to a tree structure and can produce 99.7% of the necessary dependencies while maintaining linear algorithm complexity. To improve parsing quality we used additional techniques such as pre...
متن کاملتأثیر ساختواژهها در تجزیه وابستگی زبان فارسی
Data-driven systems can be adapted to different languages and domains easily. Using this trend in dependency parsing was lead to introduce data-driven approaches. Existence of appreciate corpora that contain sentences and theirs associated dependency trees are the only pre-requirement in data-driven approaches. Despite obtaining high accurate results for dependency parsing task in English langu...
متن کامل