175 citations · 1.3k across the 83 of their papers we have counts for
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You Can Generate It Again: Data-to-Text Generation with Verification and Correction Prompting
Xuan Ren, Zeyu Zhang, Lingqiao Liu
Small language models like T5 excel in generating high-quality text for data-to-text tasks, offering adaptability and cost-efficiency compared to Large Language Models (LLMs). Howe…
Out-of-Distribution Generalization in Text Classification: Past, Present, and Future
Linyi Yang, Yaoxiao Song, Xuan Ren +6
Machine learning (ML) systems in natural language processing (NLP) face significant challenges in generalizing to out-of-distribution (OOD) data, where the test distribution differ…
Semantic Role Labeling Guided Out-of-distribution Detection
Jinan Zou, Maihao Guo, Yu Tian +5
Identifying unexpected domain-shifted instances in natural language processing is crucial in real-world applications. Previous works identify the out-of-distribution (OOD) instance…
Pretrained Language Encoders are Natural Tagging Frameworks for Aspect Sentiment Triplet Extraction
Yanjie Gou, Yinjie Lei, Lingqiao Liu +3
Aspect Sentiment Triplet Extraction (ASTE) aims to extract the spans of aspect, opinion, and their sentiment relations as sentiment triplets. Existing works usually formulate the s…
Astock: A New Dataset and Automated Stock Trading based on Stock-specific News Analyzing Model
Jinan Zou, Haiyao Cao, Lingqiao Liu +3
Natural Language Processing(NLP) demonstrates a great potential to support financial decision-making by analyzing the text from social media or news outlets. In this work, we build…
Progressive Class Semantic Matching for Semi-supervised Text Classification
Hai-Ming Xu, Lingqiao Liu, Ehsan Abbasnejad
Semi-supervised learning is a promising way to reduce the annotation cost for text-classification. Combining with pre-trained language models (PLMs), e.g., BERT, recent semi-superv…
Contextualize Knowledge Bases with Transformer for End-to-end Task-Oriented Dialogue Systems
Yanjie Gou, Yinjie Lei, Lingqiao Liu +2
Incorporating knowledge bases (KB) into end-to-end task-oriented dialogue systems is challenging, since it requires to properly represent the entity of KB, which is associated with…
Improving Distant Supervised Relation Extraction by Dynamic Neural Network
Yanjie Gou, Yinjie Lei, Lingqiao Liu +2
Distant Supervised Relation Extraction (DSRE) is usually formulated as a problem of classifying a bag of sentences that contain two query entities, into the predefined relation cla…
Creating Auxiliary Representations from Charge Definitions for Criminal Charge Prediction
Liangyi Kang, Jie Liu, Lingqiao Liu +2
Charge prediction, determining charges for criminal cases by analyzing the textual fact descriptions, is a promising technology in legal assistant systems. In practice, the fact de…