1 citations · 1 across the 4 of their papers we have counts for
4 papers
Shall We Trust All Relational Tuples by Open Information Extraction? A Study on Speculation Detection
Kuicai Dong, Aixin Sun, Jung-Jae Kim +1
Open Information Extraction (OIE) aims to extract factual relational tuples from open-domain sentences. Downstream tasks use the extracted OIE tuples as facts, without examining th…
Open Information Extraction via Chunks
Kuicai Dong, Aixin Sun, Jung-Jae Kim +1
Open Information Extraction (OIE) aims to extract relational tuples from open-domain sentences. Existing OIE systems split a sentence into tokens and recognize token spans as tuple…
Syntactic Multi-view Learning for Open Information Extraction
Kuicai Dong, Aixin Sun, Jung-Jae Kim +1
Open Information Extraction (OpenIE) aims to extract relational tuples from open-domain sentences. Traditional rule-based or statistical models have been developed based on syntact…
DocOIE: A Document-level Context-Aware Dataset for OpenIE
Kuicai Dong, Yilin Zhao, Aixin Sun +2
Open Information Extraction (OpenIE) aims to extract structured relational tuples (subject, relation, object) from sentences and plays critical roles for many downstream NLP applic…