98 citations · 126 across the 7 of their papers we have counts for
7 papers
Compact Token Representations with Contextual Quantization for Efficient Document Re-ranking
Yingrui Yang, Yifan Qiao, Tao Yang
Transformer based re-ranking models can achieve high search relevance through context-aware soft matching of query tokens with document tokens. To alleviate runtime complexity of s…
Anomaly-Injected Deep Support Vector Data Description for Text Outlier Detection
Zeyu You, Yichu Zhou, Tao Yang +1
Anomaly detection or outlier detection is a common task in various domains, which has attracted significant research efforts in recent years. Existing works mainly focus on structu…
Multiplex Graph Neural Network for Extractive Text Summarization
Baoyu Jing, Zeyu You, Tao Yang +2
Extractive text summarization aims at extracting the most representative sentences from a given document as its summary. To extract a good summary from a long text document, senten…
TexSmart: A Text Understanding System for Fine-Grained NER and Enhanced Semantic Analysis
Haisong Zhang, Lemao Liu, Haiyun Jiang +14
This technique report introduces TexSmart, a text understanding system that supports fine-grained named entity recognition (NER) and enhanced semantic analysis functionalities. Com…
Commonsense Evidence Generation and Injection in Reading Comprehension
Ye Liu, Tao Yang, Zeyu You +2
Human tackle reading comprehension not only based on the given context itself but often rely on the commonsense beyond. To empower the machine with commonsense reasoning, in this p…
Multi-Grained Named Entity Recognition
Congying Xia, Chenwei Zhang, Tao Yang +6
This paper presents a novel framework, MGNER, for Multi-Grained Named Entity Recognition where multiple entities or entity mentions in a sentence could be non-overlapping or totall…
On the Generation of Medical Question-Answer Pairs
Sheng Shen, Yaliang Li, Nan Du +7
Question answering (QA) has achieved promising progress recently. However, answering a question in real-world scenarios like the medical domain is still challenging, due to the req…