Name
Title | ||
|---|---|---|
Disambiguating Open IE: Identifying Semantic Similarity in Relation Extraction by Word Embeddings. |
Abstract | ||
|---|---|---|
Open Information Extraction (Open IE) methods enable the extraction of structured relations from domain-independent unstructured sources. However, due to lexical variation and polysemy, we argue it is necessary to understand the meaning of an extracted relation, rather than just extracting its textual structure. In the present work, we investigate different methods for associating relations extracted by Open IE systems with the semantic relations they describe by using word embedding models. The results presented in our experiments indicate that the methods are ill-suited for this problem and show that there is still a lot to research on the Relation Disambiguation in Portuguese. |
Year | Venue | Field |
|---|---|---|
2018 | PROPOR | Semantic similarity,Computer science,Information extraction,Natural language processing,Artificial intelligence,Word embedding,Polysemy,Relationship extraction |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
9 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Leandro M. P. Sanches | 1 | 0 | 0.68 |
| Victor S. Cardel | 2 | 0 | 0.34 |
| Larissa S. Machado | 3 | 0 | 0.34 |
| Marlo Souza | 4 | 24 | 10.34 |
| Lais do_Nascimento Salvador | 5 | 5 | 1.84 |