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MinIE: Minimizing Facts in Open Information Extraction
TLDR
The goal of Open Information Extraction (OIE) is to extract surface relations and their arguments from natural-language text in an unsupervised, domain-independent manner. Expand
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OPIEC: An Open Information Extraction Corpus
TLDR
We release, describe, and analyze an OIE corpus called OPIEC, which was extracted from the text of English Wikipedia. Expand
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Can We Predict New Facts with Open Knowledge Graph Embeddings? A Benchmark for Open Link Prediction
TLDR
We evaluate whether it is possible to infernewfacts directly from theopen knowledge graphwithout any canonicalization or any supervi-sion from curated knowledge. Expand
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EAL: A Toolkit and Dataset for Entity-Aspect Linking
TLDR
We present a toolkit, online demo and large dataset to foster the adoption and improvement of entity-aspect linking technologies in the research community. Expand
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MinScIE: Citation-Centered Open Information Extraction
TLDR
We present MinScIE, an Open Information Extraction system which provides structured knowledge enriched with semantic information about citations. Expand
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OpenIE for Slot Filling at TAC KBP 2017 - System Description
TLDR
We exploit the fact that we can learn embeddings for triples from an Open Information Extraction system, which provides us feature representations for the elements of triples, and also, by using similarity operations for vectors. Expand
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Neural networks - basic principles for construction, their application in drug design and genetic algorithms
TLDR
In this article we will introduce the basic principles for constructing a neural network. Expand
On Aligning OpenIE Extractions with Knowledge Bases: A Case Study
TLDR
We directly evaluate how OIE triples from the OPIEC corpus are related to the DBpedia KB w.r.t. information content. Expand
Sequential pattern mining for customer relationship management analysis
Customer Relationship Management (CRM) is a set of tools for managing a company’s interactions with its customers. Extracting the frequent interaction behaviors from the CRM database is useful toExpand