Wenbin Jiang


2020

pdf bib
Multi-view Classification Model for Knowledge Graph Completion
Wenbin Jiang | Mengfei Guo | Yufeng Chen | Ying Li | Jinan Xu | Yajuan Lyu | Yong Zhu
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing

Most previous work on knowledge graph completion conducted single-view prediction or calculation for candidate triple evaluation, based only on the content information of the candidate triples. This paper describes a novel multi-view classification model for knowledge graph completion, where multiple classification views are performed based on both content and context information for candidate triple evaluation. Each classification view evaluates the validity of a candidate triple from a specific viewpoint, based on the content information inside the candidate triple and the context information nearby the triple. These classification views are implemented by a unified neural network and the classification predictions are weightedly integrated to obtain the final evaluation. Experiments show that, the multi-view model brings very significant improvements over previous methods, and achieves the new state-of-the-art on two representative datasets. We believe that, the flexibility and the scalability of the multi-view classification model facilitates the introduction of additional information and resources for better performance.

pdf bib
Knowledge-Enhanced Named Entity Disambiguation for Short Text
Zhifan Feng | Qi Wang | Wenbin Jiang | Yajuan Lyu | Yong Zhu
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing

Named entity disambiguation is an important task that plays the role of bridge between text and knowledge. However, the performance of existing methods drops dramatically for short text, which is widely used in actual application scenarios, such as information retrieval and question answering. In this work, we propose a novel knowledge-enhanced method for named entity disambiguation. Considering the problem of information ambiguity and incompleteness for short text, two kinds of knowledge, factual knowledge graph and conceptual knowledge graph, are introduced to provide additional knowledge for the semantic matching between candidate entity and mention context. Our proposed method achieves significant improvement over previous methods on a large manually annotated short-text dataset, and also achieves the state-of-the-art on three standard datasets. The short-text dataset and the proposed model will be publicly available for research use.

2019

pdf bib
Machine Reading Comprehension Using Structural Knowledge Graph-aware Network
Delai Qiu | Yuanzhe Zhang | Xinwei Feng | Xiangwen Liao | Wenbin Jiang | Yajuan Lyu | Kang Liu | Jun Zhao
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)

Leveraging external knowledge is an emerging trend in machine comprehension task. Previous work usually utilizes knowledge graphs such as ConceptNet as external knowledge, and extracts triples from them to enhance the initial representation of the machine comprehension context. However, such method cannot capture the structural information in the knowledge graph. To this end, we propose a Structural Knowledge Graph-aware Network(SKG) model, constructing sub-graphs for entities in the machine comprehension context. Our method dynamically updates the representation of the knowledge according to the structural information of the constructed sub-graph. Experiments show that SKG achieves state-of-the-art performance on the ReCoRD dataset.

2016

pdf bib
Automatic Cross-Lingual Similarization of Dependency Grammars for Tree-based Machine Translation
Wenbin Jiang | Wen Zhang | Jinan Xu | Rangjia Cai
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing

2015

pdf bib
Automatic Adaptation of Annotations
Wenbin Jiang | Yajuan Lü | Liang Huang | Qun Liu
Computational Linguistics, Volume 41, Issue 1 - March 2015

pdf bib
Encoding Source Language with Convolutional Neural Network for Machine Translation
Fandong Meng | Zhengdong Lu | Mingxuan Wang | Hang Li | Wenbin Jiang | Qun Liu
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

pdf bib
genCNN: A Convolutional Architecture for Word Sequence Prediction
Mingxuan Wang | Zhengdong Lu | Hang Li | Wenbin Jiang | Qun Liu
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

2014

pdf bib
Modeling Term Translation for Document-informed Machine Translation
Fandong Meng | Deyi Xiong | Wenbin Jiang | Qun Liu
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)

pdf bib
A Dependency Edge-based Transfer Model for Statistical Machine Translation
Hongshen Chen | Jun Xie | Fandong Meng | Wenbin Jiang | Qun Liu
Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers

pdf bib
RED: A Reference Dependency Based MT Evaluation Metric
Hui Yu | Xiaofeng Wu | Jun Xie | Wenbin Jiang | Qun Liu | Shouxun Lin
Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers

2013

pdf bib
Discriminative Learning with Natural Annotations: Word Segmentation as a Case Study
Wenbin Jiang | Meng Sun | Yajuan Lü | Yating Yang | Qun Liu
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

pdf bib
Bilingually-Guided Monolingual Dependency Grammar Induction
Kai Liu | Yajuan Lü | Wenbin Jiang | Qun Liu
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

pdf bib
Iterative Transformation of Annotation Guidelines for Constituency Parsing
Xiang Li | Wenbin Jiang | Yajuan Lü | Qun Liu
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

2012

pdf bib
Iterative Annotation Transformation with Predict-Self Reestimation for Chinese Word Segmentation
Wenbin Jiang | Fandong Meng | Qun Liu | Yajuan Lü
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning

pdf bib
Discriminative Boosting from Dictionary and Raw Text – A Novel Approach to Build A Chinese Word Segmenter
Fandong Meng | Wenbin Jiang | Hao Xiong | Qun Liu
Proceedings of COLING 2012: Posters

2011

pdf bib
Relaxed Cross-lingual Projection of Constituent Syntax
Wenbin Jiang | Qun Liu | Yajuan Lv
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing

2010

pdf bib
Effective Constituent Projection across Languages
Wenbin Jiang | Yajuan Lv | Yang Liu | Qun Liu
Coling 2010: Posters

pdf bib
Dependency Parsing and Projection Based on Word-Pair Classification
Wenbin Jiang | Qun Liu
Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics

2009

pdf bib
Automatic Adaptation of Annotation Standards for Dependency Parsing ? Using Projected Treebank as Source Corpus
Wenbin Jiang | Qun Liu
Proceedings of the 11th International Conference on Parsing Technologies (IWPT’09)

pdf bib
Automatic Adaptation of Annotation Standards: Chinese Word Segmentation and POS Tagging – A Case Study
Wenbin Jiang | Liang Huang | Qun Liu
Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP

pdf bib
Bilingually-Constrained (Monolingual) Shift-Reduce Parsing
Liang Huang | Wenbin Jiang | Qun Liu
Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing

2008

pdf bib
A Cascaded Linear Model for Joint Chinese Word Segmentation and Part-of-Speech Tagging
Wenbin Jiang | Liang Huang | Qun Liu | Yajuan Lü
Proceedings of ACL-08: HLT

pdf bib
Word Lattice Reranking for Chinese Word Segmentation and Part-of-Speech Tagging
Wenbin Jiang | Haitao Mi | Qun Liu
Proceedings of the 22nd International Conference on Computational Linguistics (Coling 2008)

pdf bib
The ICT system description for IWSLT 2008.
Yang Liu | Zhongjun He | Haitao Mi | Yun Huang | Yang Feng | Wenbin Jiang | Yajuan Lu | Qun Liu
Proceedings of the 5th International Workshop on Spoken Language Translation: Evaluation Campaign

This paper presents a description for the ICT systems involved in the IWSLT 2008 evaluation campaign. This year, we participated in Chinese-English and English-Chinese translation directions. Four statistical machine translation systems were used: one linguistically syntax-based, two formally syntax-based, and one phrase-based. The outputs of the four SMT systems were fed to a sentence-level system combiner, which was expected to produce better translations than single systems. We will report the results of the four single systems and the combiner on both the development and test sets.