Trust, but Verify! Better Entity Linking through Automatic Verification
| Autor: | Chin-Yew Lin, Benjamin Heinzerling, Michael Strube |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Geospatial analysis
Computer science 010102 general mathematics Order (ring theory) Inference 02 engineering and technology computer.software_genre 01 natural sciences Set (abstract data type) Entity linking 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Pairwise comparison Data mining 0101 mathematics computer Temporal information |
| Zdroj: | EACL (1) |
| DOI: | 10.18653/v1/e17-1078 |
| Popis: | We introduce automatic verification as a post-processing step for entity linking (EL). The proposed method \emph{trusts} EL system results collectively, by assuming entity mentions are mostly linked correctly, in order to create a semantic profile of the given text using geospatial and temporal information, as well as fine-grained entity types. This profile is then used to automatically \emph{verify} each linked mention individually, i.e., to predict whether it has been linked correctly or not. Verification allows leveraging a rich set of global and pairwise features that would be prohibitively expensive for EL systems employing global inference. Evaluation shows consistent improvements across datasets and systems. In particular, when applied to state-of-the-art systems, our method yields an absolute improvement in linking performance of up to 1.7\,$F1$ on AIDA/CoNLL'03 and up to 2.4\,$F1$ on the English TAC KBP 2015 TEDL dataset. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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