59 citations · 375 across the 88 of their papers we have counts for
9 papers · 1 filter
Frequency-Aware Contrastive Learning for Neural Machine Translation
Tong Zhang, Wei Ye, Baosong Yang +7
Low-frequency word prediction remains a challenge in modern neural machine translation (NMT) systems. Recent adaptive training methods promote the output of infrequent words by emp…
Cross-document Event Identity via Dense Annotation
Adithya Pratapa, Zhengzhong Liu, Kimihiro Hasegawa +4
In this paper, we study the identity of textual events from different documents. While the complex nature of event identity is previously studied (Hovy et al., 2013), the case of e…
A Survey on Machine Learning Techniques for Auto Labeling of Video, Audio, and Text Data
Shikun Zhang, Omid Jafari, Parth Nagarkar
Machine learning has been utilized to perform tasks in many different domains such as classification, object detection, image segmentation and natural language analysis. Data label…
Legal Judgment Prediction with Multi-Stage CaseRepresentation Learning in the Real Court Setting
Luyao Ma, Yating Zhang, Tianyi Wang +4
Legal judgment prediction(LJP) is an essential task for legal AI. While prior methods studied on this topic in a pseudo setting by employing the judge-summarized case narrative as…
Capturing Event Argument Interaction via A Bi-Directional Entity-Level Recurrent Decoder
Xiangyu Xi, Wei Ye, Shikun Zhang +3
Capturing interactions among event arguments is an essential step towards robust event argument extraction (EAE). However, existing efforts in this direction suffer from two limita…
Unsupervised Out-of-Domain Detection via Pre-trained Transformers
Keyang Xu, Tongzheng Ren, Shikun Zhang +2
Deployed real-world machine learning applications are often subject to uncontrolled and even potentially malicious inputs. Those out-of-domain inputs can lead to unpredictable outp…
Multi-view Inference for Relation Extraction with Uncertain Knowledge
Bo Li, Wei Ye, Canming Huang +1
Knowledge graphs (KGs) are widely used to facilitate relation extraction (RE) tasks. While most previous RE methods focus on leveraging deterministic KGs, uncertain KGs, which assi…
Exploiting Method Names to Improve Code Summarization: A Deliberation Multi-Task Learning Approach
Rui Xie, Wei Ye, Jinan Sun +1
Code summaries are brief natural language descriptions of source code pieces. The main purpose of code summarization is to assist developers in understanding code and to reduce doc…
A Data-Centric Framework for Composable NLP Workflows
Zhengzhong Liu, Guanxiong Ding, Avinash Bukkittu +15
Empirical natural language processing (NLP) systems in application domains (e.g., healthcare, finance, education) involve interoperation among multiple components, ranging from dat…