Information Extraction
Information extraction (IE) focuses on automatically extracting structured information from unstructured or semi-structured text, aiming to convert raw data into usable formats for various applications. Current research emphasizes unified IE frameworks, often leveraging large language models (LLMs) and incorporating retrieval-augmented generation (RAG) techniques, along with advancements in neural architectures like LSTMs and transformers. This field is crucial for knowledge base construction, enabling efficient data analysis across diverse domains like healthcare, finance, and humanitarian aid, and improving the accuracy and speed of data processing in numerous applications.
Papers
A Human-in-the-Loop Approach for Information Extraction from Privacy Policies under Data Scarcity
Michael Gebauer, Faraz Maschhur, Nicola Leschke, Elias Grünewald, Frank Pallas
PIVOINE: Instruction Tuning for Open-world Information Extraction
Keming Lu, Xiaoman Pan, Kaiqiang Song, Hongming Zhang, Dong Yu, Jianshu Chen
InteractiveIE: Towards Assessing the Strength of Human-AI Collaboration in Improving the Performance of Information Extraction
Ishani Mondal, Michelle Yuan, Anandhavelu N, Aparna Garimella, Francis Ferraro, Andrew Blair-Stanek, Benjamin Van Durme, Jordan Boyd-Graber
An Empirical Study on Information Extraction using Large Language Models
Ridong Han, Chaohao Yang, Tao Peng, Prayag Tiwari, Xiang Wan, Lu Liu, Benyou Wang
Schema-Driven Information Extraction from Heterogeneous Tables
Fan Bai, Junmo Kang, Gabriel Stanovsky, Dayne Freitag, Alan Ritter
WebIE: Faithful and Robust Information Extraction on the Web
Chenxi Whitehouse, Clara Vania, Alham Fikri Aji, Christos Christodoulopoulos, Andrea Pierleoni
Leveraging Open Information Extraction for More Robust Domain Transfer of Event Trigger Detection
David Dukić, Kiril Gashteovski, Goran Glavaš, Jan Šnajder
Translation and Fusion Improves Zero-shot Cross-lingual Information Extraction
Yang Chen, Vedaant Shah, Alan Ritter
Eye-SpatialNet: Spatial Information Extraction from Ophthalmology Notes
Surabhi Datta, Tasneem Kaochar, Hio Cheng Lam, Nelly Nwosu, Luca Giancardo, Alice Z. Chuang, Robert M. Feldman, Kirk Roberts
InstructIE: A Bilingual Instruction-based Information Extraction Dataset
Honghao Gui, Shuofei Qiao, Jintian Zhang, Hongbin Ye, Mengshu Sun, Lei Liang, Jeff Z. Pan, Huajun Chen, Ningyu Zhang
CQE: A Comprehensive Quantity Extractor
Satya Almasian, Vivian Kazakova, Philip Göldner, Michael Gertz
Question-Answering System Extracts Information on Injection Drug Use from Clinical Notes
Maria Mahbub, Ian Goethert, Ioana Danciu, Kathryn Knight, Sudarshan Srinivasan, Suzanne Tamang, Karine Rozenberg-Ben-Dror, Hugo Solares, Susana Martins, Jodie Trafton, Edmon Begoli, Gregory Peterson