no code implementations • EMNLP 2021 • Jiachen Tian, Shizhan Chen, Xiaowang Zhang, Zhiyong Feng, Deyi Xiong, Shaojuan Wu, Chunliu Dou
Difficult samples of the minority class in imbalanced text classification are usually hard to be classified as they are embedded into an overlapping semantic region with the majority class.
no code implementations • 29 Nov 2023 • Yaokun Liu, Xiaowang Zhang, Minghui Zou, Zhiyong Feng
Although multi-interest recommenders have achieved significant progress in the matching stage, our research reveals that existing models tend to exhibit an under-clustered item embedding space, which leads to a low discernibility between items and hampers item retrieval.
no code implementations • 26 Apr 2022 • Chunliu Dou, Shaojuan Wu, Xiaowang Zhang, Zhiyong Feng, Kewen Wang
The relation classification is to identify semantic relations between two entities in a given text.
1 code implementation • ACL 2022 • Linjuan Wu, Shaojuan Wu, Xiaowang Zhang, Deyi Xiong, Shizhan Chen, Zhiqiang Zhuang, Zhiyong Feng
To explicitly transfer only semantic knowledge to the target language, we propose two groups of losses tailored for semantic and syntactic encoding and disentanglement.
no code implementations • 5 Jan 2021 • Peiyun Wu, Yunjie Wu, Linjuan Wu, Xiaowang Zhang, Zhiyong Feng
Existing semantic parsing approaches mainly focus on relations matching with paying less attention to the underlying internal structure of questions (e. g., the dependencies and relations between all entities in a question) to select the query graph.
no code implementations • 16 Jun 2018 • Lijing Zhang, Xiaowang Zhang, Zhiyong Feng
In this paper, we present an embedding-based framework (TrQuery) for recommending solutions of a SPARQL query, including approximate solutions when exact querying solutions are not available due to incompleteness or inconsistencies of real-world RDF data.
no code implementations • 5 Jun 2014 • Xiaowang Zhang, Jan Van den Bussche, François Picalausa
The satisfiability problem for SPARQL patterns is undecidable in general, since the expressive power of SPARQL 1. 0 is comparable with that of the relational algebra.
no code implementations • 9 Jan 2013 • Xiaowang Zhang, Kewen Wang, Zhe Wang, Yue Ma, Guilin Qi
DL-Lite is an important family of description logics.