no code implementations • EMNLP 2021 • Harsh Gupta, Luciano del Corro, Samuel Broscheit, Johannes Hoffart, Eliot Brenner
We investigate post-OCR correction in a setting where we have access to different OCR views of the same document.
no code implementations • EMNLP (ECONLP) 2021 • Luciano Del Corro, Johannes Hoffart
We present a method to automatically identify financially relevant news using stock price movements and news headlines as input.
1 code implementation • EMNLP 2018 • Marco Ponza, Luciano del Corro, Gerhard Weikum
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.
no code implementations • ACL 2018 • Prabal Agarwal, Jannik Str{\"o}tgen, Luciano del Corro, Johannes Hoffart, Gerhard Weikum
Named Entity Disambiguation (NED) systems perform well on news articles and other texts covering a specific time interval.
no code implementations • ACL 2018 • Dominic Seyler, Tatiana Dembelova, Luciano del Corro, Johannes Hoffart, Gerhard Weikum
In this work, we discuss the importance of external knowledge for performing Named Entity Recognition (NER).
no code implementations • 11 Sep 2017 • Dominic Seyler, Tatiana Dembelova, Luciano del Corro, Johannes Hoffart, Gerhard Weikum
KnowNER is a multilingual Named Entity Recognition (NER) system that leverages different degrees of external knowledge.
Multilingual Named Entity Recognition
named-entity-recognition
+1
1 code implementation • EMNLP 2017 • Kiril Gashteovski, Rainer Gemulla, Luciano del Corro
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.