53 citations · 282 across the 117 of their papers we have counts for
8 papers · 1 filter
From Bag of Sentences to Document: Distantly Supervised Relation Extraction via Machine Reading Comprehension
Lingyong Yan, Xianpei Han, Le Sun +2
Distant supervision (DS) is a promising approach for relation extraction but often suffers from the noisy label problem. Traditional DS methods usually represent an entity pair as…
ISCAS at SemEval-2020 Task 5: Pre-trained Transformers for Counterfactual Statement Modeling
Yaojie Lu, Annan Li, Hongyu Lin +2
ISCAS participated in two subtasks of SemEval 2020 Task 5: detecting counterfactual statements and detecting antecedent and consequence. This paper describes our system which is ba…
End-to-End Neural Event Coreference Resolution
Yaojie Lu, Hongyu Lin, Jialong Tang +2
Traditional event coreference systems usually rely on pipeline framework and hand-crafted features, which often face error propagation problem and have poor generalization ability.…
Simplified TinyBERT: Knowledge Distillation for Document Retrieval
Xuanang Chen, Ben He, Kai Hui +2
Despite the effectiveness of utilizing the BERT model for document ranking, the high computational cost of such approaches limits their uses. To this end, this paper first empirica…
BERT-QE: Contextualized Query Expansion for Document Re-ranking
Zhi Zheng, Kai Hui, Ben He +3
Query expansion aims to mitigate the mismatch between the language used in a query and in a document. However, query expansion methods can suffer from introducing non-relevant info…
Modeling Voting for System Combination in Machine Translation
Xuancheng Huang, Jiacheng Zhang, Zhixing Tan +5
System combination is an important technique for combining the hypotheses of different machine translation systems to improve translation performance. Although early statistical ap…