Language Specific Issue and Feature Exploration in Chinese Event Extraction
نویسندگان
چکیده
In this paper, we present a Chinese event extraction system. We point out a language specific issue in Chinese trigger labeling, and then commit to discussing the contributions of lexical, syntactic and semantic features applied in trigger labeling and argument labeling. As a result, we achieved competitive performance, specifically, F-measure of 59.9 in trigger labeling and F-measure of 43.8 in argument labeling.
منابع مشابه
Towards High Performance Multilingual Event Extraction: Language Specific Issue and Feature Exploration
We present an Information Extraction (IE) system that combines traditional IE techniques and cross-document event ranking. Our final goal is to provide the user with ranked events upon a query. The first step is to set up a trainable event extraction engine to glean all possible events from multiple documents. The second step is to construct our data warehouse with refined events. The third ste...
متن کاملA Convolution BiLSTM Neural Network Model for Chinese Event Extraction
Chinese event extraction is a challenging task in information extraction. Previous approaches highly depend on sophisticated feature engineering and complicated natural language processing (NLP) tools. In this paper, we first come up with the language specific issue in Chinese event extraction, and then propose a convolution bidirectional LSTM neural network that combines LSTM and CNN to captur...
متن کاملA Convolution BiLSTM Neural Network Model for Chinese Event Extraction
Chinese event extraction is a challenging task in information extraction. Previous approaches highly depend on sophisticated feature engineering and complicated natural language processing (NLP) tools. In this paper, we first come up with the language specific issue in Chinese event extraction, and then propose a convolution bidirectional LSTM neural network that combines LSTM and CNN to captur...
متن کاملChinese Event Extraction Using DeepNeural Network with Word Embedding
A lot of prior work on event extraction has exploited a variety of features to represent events. Such methods have several drawbacks: 1) the features are often specific for a particular domain and do not generalize well; 2) the features are derived from various linguistic analyses and are error-prone; and 3) some features may be expensive and require domain expert. In this paper, we develop a C...
متن کاملA Geometric View of Similarity Measures in Data Mining
The main objective of data mining is to acquire information from a set of data for prospect applications using a measure. The concerning issue is that one often has to deal with large scale data. Several dimensionality reduction techniques like various feature extraction methods have been developed to resolve the issue. However, the geometric view of the applied measure, as an additional consid...
متن کامل