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Found 5 papers, 2 papers with code
Structure Regularized Neural Network for Entity Relation Classification for Chinese Literature Text
In this paper, we propose the task of relation classification for Chinese literature text.
Building an Ellipsis-aware Chinese Dependency Treebank for Web Text
Web 2. 0 has brought with it numerous user-produced data revealing one's thoughts, experiences, and knowledge, which are a great source for many tasks, such as information extraction, and knowledge base construction.
A Discourse-Level Named Entity Recognition and Relation Extraction Dataset for Chinese Literature Text
To build a high quality dataset, we propose two tagging methods to solve the problem of data inconsistency, including a heuristic tagging method and a machine auxiliary tagging method.
Structure Regularized Bidirectional Recurrent Convolutional Neural Network for Relation Classification
In this paper, we present a novel model, Structure Regularized Bidirectional Recurrent Convolutional Neural Network(SR-BRCNN), to classify the relation of two entities in a sentence, and the new dataset of Chinese Sanwen for named entity recognition and relation classification.
Sentence Correction Based on Large-scale Language Modelling
The paper aims to establish a language model based on the large-scale corpus to complete the restoration of missing text.
