Tingsong Jiang


2018

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Revisiting Distant Supervision for Relation Extraction
Tingsong Jiang | Jing Liu | Chin-Yew Lin | Zhifang Sui
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)

2016

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Capturing Argument Relationship for Chinese Semantic Role Labeling
Lei Sha | Sujian Li | Baobao Chang | Zhifang Sui | Tingsong Jiang
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing

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Encoding Temporal Information for Time-Aware Link Prediction
Tingsong Jiang | Tianyu Liu | Tao Ge | Lei Sha | Sujian Li | Baobao Chang | Zhifang Sui
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing

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Towards Time-Aware Knowledge Graph Completion
Tingsong Jiang | Tianyu Liu | Tao Ge | Lei Sha | Baobao Chang | Sujian Li | Zhifang Sui
Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers

Knowledge graph (KG) completion adds new facts to a KG by making inferences from existing facts. Most existing methods ignore the time information and only learn from time-unknown fact triples. In dynamic environments that evolve over time, it is important and challenging for knowledge graph completion models to take into account the temporal aspects of facts. In this paper, we present a novel time-aware knowledge graph completion model that is able to predict links in a KG using both the existing facts and the temporal information of the facts. To incorporate the happening time of facts, we propose a time-aware KG embedding model using temporal order information among facts. To incorporate the valid time of facts, we propose a joint time-aware inference model based on Integer Linear Programming (ILP) using temporal consistencyinformationasconstraints. Wefurtherintegratetwomodelstomakefulluseofglobal temporal information. We empirically evaluate our models on time-aware KG completion task. Experimental results show that our time-aware models achieve the state-of-the-art on temporal facts consistently.

2015

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Recognizing Textual Entailment Using Probabilistic Inference
Lei Sha | Sujian Li | Baobao Chang | Zhifang Sui | Tingsong Jiang
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing

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Chinese Semantic Role Labeling with Bidirectional Recurrent Neural Networks
Zhen Wang | Tingsong Jiang | Baobao Chang | Zhifang Sui
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing

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ERSOM: A Structural Ontology Matching Approach Using Automatically Learned Entity Representation
Chuncheng Xiang | Tingsong Jiang | Baobao Chang | Zhifang Sui
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing