Papers with data management
M-SENA: An Integrated Platform for Multimodal Sentiment Analysis (2022.acl-demo)
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| Challenge: | M-SENA is an open-source platform for multimodal sentiment analysis. |
| Approach: | They propose to use a platform for multimodal sentiment analysis to facilitate advanced research by providing flexible toolkits, reliable benchmarks, and intuitive demonstrations. |
| Outcome: | The proposed framework provides reliable benchmarks and baseline results of different modality features and MSA benchmarks. |
CroAno : A Crowd Annotation Platform for Improving Label Consistency of Chinese NER Dataset (2021.emnlp-demo)
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Baoli Zhang, Zhucong Li, Zhen Gan, Yubo Chen, Jing Wan, Kang Liu, Jun Zhao, Shengping Liu, Yafei Shi
| Challenge: | Existing crowd annotation tools for named entity recognition (NER) focus on efficiency and don't consider consistency of datasets. |
| Approach: | They propose a crowd annotation platform for Chinese named entity recognition (NER) CroAno provides a systematic solution for improving label consistency of Chinese NER datasets. |
| Outcome: | The proposed platform improves label consistency of Chinese NER datasets. |
BPID: A Benchmark for Personal Identity Deduplication (2024.emnlp-industry)
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Runhui Wang, Yefan Tao, Adit Krishnan, Luyang Kong, Xuanqing Liu, Yuqian Deng, Yunzhao Yang, Henrik Johnson, Andrew Borthwick, Shobhit Gupta, Aditi Gundlapalli, Davor Golac
| Challenge: | Data deduplication is a critical task in data management and mining, focused on consolidating duplicate records that refer to the same entity. |
| Approach: | They propose to use a dataset with 1,000,000 unlabeled synthetic PII profiles and a subset of 10,000 pairs curated and labeled as matches or non-matches. |
| Outcome: | The proposed datasets contain synthetic profiles built from publicly available sources that do not represent real individuals. |
BehancePR: A Punctuation Restoration Dataset for Livestreaming Video Transcript (2022.findings-naacl)
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| Challenge: | a growing number of livestreaming videos provide useful knowledge with exceptional visual demonstrations. |
| Approach: | They propose a human-annotated corpus for punctuation restoration in livestreaming video transcripts . they show popular natural language processing tools underperform on sentence boundary detection . |
| Outcome: | The proposed dataset shows that natural language processing tools underperform on sentence boundary detection on livestreaming video transcripts. |
Managing Public Sector Data for Multilingual Applications Development (L18-1)
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| Challenge: | eTranslation is a digital service that enables multilingual communication across public administrations in 30 European countries. |
| Approach: | They propose to develop a repository infrastructure specifically tailored to the needs of the eTranslation service of the European Commission. |
| Outcome: | The ELRC-SHARE repository is designed and developed specifically for the eTranslation service of the European Commission. |
Is GPT-4V (ision) All You Need for Automating Academic Data Visualization? Exploring Vision-Language Models’ Capability in Reproducing Academic Charts (2024.findings-emnlp)
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| Challenge: | Using Vision-Language Models (VLMs) for data visualizations requires significant time and expertise in both data management and graphic design. |
| Approach: | They propose a dataset comprising 2525 high-resolution data visualization figures with captions from AI conferences, extracted directly from source codes. |
| Outcome: | The proposed model outperforms open-source models in reproducing complex charts while using Chain-of-Thought prompting. |
ACCESS DENIED INC: The First Benchmark Environment for Sensitivity Awareness (2025.findings-acl)
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| Challenge: | Large language models can process text from various document formats and facilitate user interactions through natural language queries. |
| Approach: | They propose a concept of sensitivity awareness (SA) which enables LLMs to adhere to predefined access rights rules. |
| Outcome: | The proposed model can adhere to predefined access rights rules while managing unauthorized requests while effectively addressing legitimate queries. |
PUER: Boosting Few-shot Positive-Unlabeled Entity Resolution with Reinforcement Learning (2025.findings-emnlp)
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| Challenge: | Existing approaches to entity resolution focus on supervised learning, but manual annotation is labor-intensive. |
| Approach: | They propose an end-to-end ER solution that leverages Large Language Models in PU learning setting to address low-resource entity resolution. |
| Outcome: | The proposed solution improves the performance of PUER on a positive-unlabeled learning environment. |
SQUiD: Synthesizing Relational Databases from Unstructured Text (2025.emnlp-main)
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| Challenge: | Relational databases are central to modern data management, but most data exists in unstructured forms like text documents. |
| Approach: | They propose a framework that decomposes the task into four stages, each with specialized techniques. |
| Outcome: | The proposed framework outperforms baselines across diverse datasets. |