Name
Abstract | ||
|---|---|---|
Information extraction (IE) from text sources can either be performed as Model-based IE (i.e, by using a pre-specified domain of target entities and relations) or as Open IE (i.e., with no particular assumptions about the target domain). While Model-based IE has limited coverage, Open IE merely yields triples of surface phrases which are usually not disambiguated into a canonical set of entities and relations. This paper presents J-REED: a joint approach for entity disambiguation and relation extraction that is based on probabilistic graphical models. J-REED merges ideas from both Model-based and Open IE by mapping surface names to a background knowledge base, and by making surface relations as crisp as possible.
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Year | DOI | Venue |
|---|---|---|
2017 | 10.1145/3132847.3133090 | CIKM |
Field | DocType | ISBN |
Information retrieval,Computer science,Information extraction,Natural language processing,Artificial intelligence,Knowledge base,Graphical model,Relationship extraction | Conference | 978-1-4503-4918-5 |
Citations | PageRank | References |
0 | 0.34 | 16 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dat Ba Nguyen | 1 | 127 | 5.87 |
| Martin Theobald | 2 | 1474 | 72.06 |
| Gerhard Weikum | 3 | 12710 | 2146.01 |