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19952023
most citedRobust Multilingual Named Entity Recognition with Shallow Semi-Supervised Features

91 citations · 608 across the 41 of their papers we have counts for

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Showing 2017Show all

6 papers · 1 filter

cs.AI2017

Automatic White-Box Testing of First-Order Logic Ontologies

Javier Álvez, Montserrat Hermo, Paqui Lucio +1

Formal ontologies are axiomatizations in a logic-based formalism. The development of formal ontologies, and their important role in the Semantic Web area, is generating considerabl…

cs.AI2017★ 7 cited

Black-box Testing of First-Order Logic Ontologies Using WordNet

Javier Álvez, Paqui Lucio, German Rigau

Artificial Intelligence aims to provide computer programs with commonsense knowledge to reason about our world. This paper offers a new practical approach towards automated commons…

cs.CL2017

W2VLDA: Almost Unsupervised System for Aspect Based Sentiment Analysis

Aitor García-Pablos, Montse Cuadros, German Rigau

With the increase of online customer opinions in specialised websites and social networks, the necessity of automatic systems to help to organise and classify customer reviews by d…

cs.CL2017★ 7 cited

Q-WordNet PPV: Simple, Robust and (almost) Unsupervised Generation of Polarity Lexicons for Multiple Languages

Iñaki San Vicente, Rodrigo Agerri, German Rigau

This paper presents a simple, robust and (almost) unsupervised dictionary-based method, qwn-ppv (Q-WordNet as Personalized PageRanking Vector) to automatically generate polarity le…

cs.CL2017

Multilingual and Cross-lingual Timeline Extraction

Egoitz Laparra, Rodrigo Agerri, Itziar Aldabe +1

In this paper we present an approach to extract ordered timelines of events, their participants, locations and times from a set of multilingual and cross-lingual data sources. Base…

cs.CL2017★ 91 cited

Robust Multilingual Named Entity Recognition with Shallow Semi-Supervised Features

Rodrigo Agerri, German Rigau

We present a multilingual Named Entity Recognition approach based on a robust and general set of features across languages and datasets. Our system combines shallow local informati…