|
|
|
|
|
Xuxin Chen and Xinli Huang
Distant supervision for relation extraction (DSRE) automatically acquires large-scale annotated data by aligning the corpus with the knowledge base, which dramatically reduces the cost of manual annotation. However, this technique is plagued by noisy dat...
ver más
|
|
|
|
|
|
|
|
|
|
|
Huagang Li and Bo Liu
Web texts typically undergo the open-ended growth of new relations. Traditional relation extraction methods lack automatic annotation and perform poorly on new relation extraction tasks. We propose an open-domain relation extraction system (ORES) based o...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xiaoyu Han, Yue Zhang, Wenkai Zhang and Tinglei Huang
Relation extraction is a vital task in natural language processing. It aims to identify the relationship between two specified entities in a sentence. Besides information contained in the sentence, additional information about the entities is verified to...
ver más
|
|
|
|
|
|