MILIE: Modular & Iterative Multilingual Open Information Extraction
Bhushan Kotnis, Kiril Gashteovski, Daniel Oñoro-Rubio, Ammar Shaker, Vanesa Rodriguez-Tembras, Makoto Takamoto, Mathias Niepert, Carolin Lawrence
2022年份
4顶会引用
摘要
Open Information Extraction (OpenIE) is the task of extracting (subject, predicate, object) triples from natural language sentences. Current OpenIE systems extract all triple slots independently. In contrast, we explore the hypothesis that it may be beneficial to extract triple slots iteratively: first extract easy slots, followed by the difficult ones by conditioning on the easy slots, and therefore achieve a better overall extraction.
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引用它的顶会 Paper4
- Syntactic Multi-view Learning for Open Information ExtractionKuicai Dong, Aixin Sun, Jung-Jae Kim, Xiaoli LiEMNLP 2022 · 被引用 6 次
- Open Information Extraction via ChunksKuicai Dong, Aixin Sun, Jung-Jae Kim, Xiaoli LiEMNLP 2023 · 被引用 4 次
- Linking Surface Facts to Large-Scale Knowledge GraphsGorjan Radevski, Kiril Gashteovski, Chia-Chien Hung, Carolin Lawrence 等EMNLP 2023 · 被引用 2 次
- On Synthesizing Data for Context Attribution in Question AnsweringGorjan Radevski, Kiril Gashteovski, Shahbaz Syed, Christopher Malon 等ACL 2025 · 被引用 1 次
它引用的顶会 Paper4
- Span Model for Open Information Extraction on Accurate CorpusJunlang Zhan, Hai ZhaoAAAI 2020 · 被引用 90 次
- OpenIE6: Iterative Grid Labeling and Coordination Analysis for Open Information ExtractionKeshav Kolluru, Vaibhav Adlakha, Samarth Aggarwal, Mausam 等EMNLP 2020 · 被引用 13 次
- IMoJIE: Iterative Memory-Based Joint Open Information ExtractionKeshav Kolluru, Samarth Aggarwal, Vipul Rathore, Mausam 等ACL 2020 · 被引用 5 次
- Generating Query Focused Summaries from Query-Free ResourcesYumo Xu, Mirella LapataACL 2021
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