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ClausIE: clause-based open information extraction
We propose ClausIE, a novel, clause-based approach to open information extraction, which extracts relations and their arguments from natural language text. ClausIE fundamentally differs from previousExpand
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MinIE: Minimizing Facts in Open Information Extraction
The goal of Open Information Extraction (OIE) is to extract surface relations and their arguments from naturallanguage text in an unsupervised, domainindependent manner. In this paper, we proposeExpand
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FINET: Context-Aware Fine-Grained Named Entity Typing
We propose FINET, a system for detecting the types of named entities in short inputs—such as sentences or tweets—with respect to WordNet’s super fine-grained type system. FINET generates candidateExpand
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Fully Parallel Inference in Markov Logic Networks
Abstract: Markov logic is a powerful tool for handling the uncertainty that arises in real-world structured data; it has been applied successfully to a number of data management problems. InExpand
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CORE: Context-Aware Open Relation Extraction with Factorization Machines
We propose CORE, a novel matrix factorization model that leverages contextual information for open relation extraction. Our model is based on factorization machines and integrates facts from variousExpand
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A Study of the Importance of External Knowledge in the Named Entity Recognition Task
In this work, we discuss the importance of external knowledge for performing Named Entity Recognition (NER). We present a novel modular framework that divides the knowledge into four categoriesExpand
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Methods for open information extraction and sense disambiguation on natural language text
Natural language text has been the main and most comprehensive way of expressing and storing knowledge. A long standing goal in computer science is to develop systems that automatically understandExpand
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Werdy: Recognition and Disambiguation of Verbs and Verb Phrases with Syntactic and Semantic Pruning
Word-sense recognition and disambiguation (WERD) is the task of identifying word phrases and their senses in natural language text. Though it is well understood how to disambiguate noun phrases, thisExpand
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diaNED: Time-Aware Named Entity Disambiguation for Diachronic Corpora
Named Entity Disambiguation (NED) systems perform well on news articles and other texts covering a specific time interval. However, NED quality drops when inputs span long time periods like inExpand
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Facts That Matter
This work introduces fact salience: The task of generating a machine-readable representation of the most prominent information in a text document as a set of facts. We also present SALIE, the firstExpand
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