Hongling Wang


Global Inference to Chinese Temporal Relation Extraction
Peifeng Li | Qiaoming Zhu | Guodong Zhou | Hongling Wang
Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers

Previous studies on temporal relation extraction focus on mining sentence-level information or enforcing coherence on different temporal relation types among various event mentions in the same sentence or neighboring sentences, largely ignoring those discourse-level temporal relations in nonadjacent sentences. In this paper, we propose a discourse-level global inference model to mine those temporal relations between event mentions in document-level, especially in nonadjacent sentences. Moreover, we provide various kinds of discourse-level constraints, which derived from event semantics, to further improve our global inference model. Evaluation on a Chinese corpus justifies the effectiveness of our discourse-level global inference model over two strong baselines.

User Classification with Multiple Textual Perspectives
Dong Zhang | Shoushan Li | Hongling Wang | Guodong Zhou
Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers

Textual information is of critical importance for automatic user classification in social media. However, most previous studies model textual features in a single perspective while the text in a user homepage typically possesses different styles of text, such as original message and comment from others. In this paper, we propose a novel approach, namely ensemble LSTM, to user classification by incorporating multiple textual perspectives. Specifically, our approach first learns a LSTM representation with a LSTM recurrent neural network and then presents a joint learning method to integrating all naturally-divided textual perspectives. Empirical studies on two basic user classification tasks, i.e., gender classification and age classification, demonstrate the effectiveness of the proposed approach to user classification with multiple textual perspectives.


TJUdeM: A Combination Classifier for Aspect Category Detection and Sentiment Polarity Classification
Zhifei Zhang | Jian-Yun Nie | Hongling Wang
Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015)


Bilingual Lexicon Construction from Comparable Corpora via Dependency Mapping
Longhua Qian | Hongling Wang | Guodong Zhou | Qiaoming Zhu
Proceedings of COLING 2012


A Unified Framework for Scope Learning via Simplified Shallow Semantic Parsing
Qiaoming Zhu | Junhui Li | Hongling Wang | Guodong Zhou
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing

Learning the Scope of Negation via Shallow Semantic Parsing
Junhui Li | Guodong Zhou | Hongling Wang | Qiaoming Zhu
Proceedings of the 23rd International Conference on Computational Linguistics (Coling 2010)

Dependency-Driven Feature-based Learning for Extracting Protein-Protein Interactions from Biomedical Text
Bing Liu | Longhua Qian | Hongling Wang | Guodong Zhou
Coling 2010: Posters


Dependency Tree-based SRL with Proper Pruning and Extensive Feature Engineering
Hongling Wang | Honglin Wang | Guodong Zhou | Qiaoming Zhu
CoNLL 2008: Proceedings of the Twelfth Conference on Computational Natural Language Learning