265 citations · 360 across the 67 of their papers we have counts for
10 papers · 1 filter
Improving Complex Knowledge Base Question Answering via Question-to-Action and Question-to-Question Alignment
Yechun Tang, Xiaoxia Cheng, Weiming Lu
Complex knowledge base question answering can be achieved by converting questions into sequences of predefined actions. However, there is a significant semantic and structural gap…
Query-based Instance Discrimination Network for Relational Triple Extraction
Zeqi Tan, Yongliang Shen, Xuming Hu +4
Joint entity and relation extraction has been a core task in the field of information extraction. Recent approaches usually consider the extraction of relational triples from a ste…
Citation Trajectory Prediction via Publication Influence Representation Using Temporal Knowledge Graph
Chang Zong, Yueting Zhuang, Weiming Lu +2
Predicting the impact of publications in science and technology has become an important research area, which is useful in various real world scenarios such as technology investment…
Multi-View Reasoning: Consistent Contrastive Learning for Math Word Problem
Wenqi Zhang, Yongliang Shen, Yanna Ma +4
Math word problem solver requires both precise relation reasoning about quantities in the text and reliable generation for the diverse equation. Current sequence-to-tree or relatio…
Molecular Substructure-Aware Network for Drug-Drug Interaction Prediction
Xinyu Zhu, Yongliang Shen, Weiming Lu
Concomitant administration of drugs can cause drug-drug interactions (DDIs). Some drug combinations are beneficial, but other ones may cause negative effects which are previously u…
A Closed-Loop Perception, Decision-Making and Reasoning Mechanism for Human-Like Navigation
Wenqi Zhang, Kai Zhao, Peng Li +5
Reliable navigation systems have a wide range of applications in robotics and autonomous driving. Current approaches employ an open-loop process that converts sensor inputs directl…
Prompting to Distill: Boosting Data-Free Knowledge Distillation via Reinforced Prompt
Xinyin Ma, Xinchao Wang, Gongfan Fang +2
Data-free knowledge distillation (DFKD) conducts knowledge distillation via eliminating the dependence of original training data, and has recently achieved impressive results in ac…
Propose-and-Refine: A Two-Stage Set Prediction Network for Nested Named Entity Recognition
Shuhui Wu, Yongliang Shen, Zeqi Tan +1
Nested named entity recognition (nested NER) is a fundamental task in natural language processing. Various span-based methods have been proposed to detect nested entities with span…
Parallel Instance Query Network for Named Entity Recognition
Yongliang Shen, Xiaobin Wang, Zeqi Tan +5
Named entity recognition (NER) is a fundamental task in natural language processing. Recent works treat named entity recognition as a reading comprehension task, constructing type-…
DAMO-NLP at SemEval-2022 Task 11: A Knowledge-based System for Multilingual Named Entity Recognition
Xinyu Wang, Yongliang Shen, Jiong Cai +9
The MultiCoNER shared task aims at detecting semantically ambiguous and complex named entities in short and low-context settings for multiple languages. The lack of contexts makes…