Using LocalMaxs Algorithm for the Extraction of Contiguous and Non-contiguous Multiword Lexical Units. - Joaquim Ferreira da Silva; Gaël Dias; Sylvie Guilloré; José Gabriel Pereira Lopes (EPIA, 1999)

Multilingual Document Clustering, Topic Extraction and Data Transformations. - Joaquim Ferreira da Silva; João Mexia; Carlos Agra Coelho; José Gabriel Pereira Lopes (EPIA, 2001)

Document Clustering and Cluster Topic Extraction in Multilingual Corpora. - Joaquim Ferreira da Silva; João Mexia; Carlos Agra Coelho; José Gabriel Pereira Lopes (ICDM, 2001)

A Divide-and-Conquer Approach to Acquire Syntactic Categories. - Pablo Gamallo 001; Gabriel Pereira Lopes; Joaquim Ferreira da Silva (ICGI, 2004)

Cluster Analysis of Named Entities. - Zornitsa Kozareva; Joaquim Ferreira da Silva; Pablo Gamallo 001; Gabriel Pereira Lopes (Intelligent Information Systems, 2004)

Cluster Analysis and Classification of Named Entities. - Joaquim Ferreira da Silva; Zornitsa Kozareva; José Gabriel Pereira Lopes (LREC, 2004)

Extracting Named Entities. A Statistical Approach. - Joaquim F. Silva; Zornitsa Kozareva; Veska Noncheva; Gabriel Pereira Lopes (TALN (Posters), 2004)

Introduction. - Gabriel Pereira Lopes; Joaquim Ferreira da Silva; Vítor Rocio; Paulo Quaresma (EPIA, 2005)

Identification of Document Language is Not yet a Completely Solved Problem. - Joaquim Ferreira da Silva; Gabriel Pereira Lopes (CIMCA/IAWTIC, 2006)

Detection of Strange and Wrong Automatic Part-of-Speech Tagging. - Vítor Rocio; Joaquim F. Silva; José Gabriel Lopes (EPIA Workshops, 2007)

New Techniques for Relevant Word Ranking and Extraction. - João Ventura 002; Joaquim Ferreira da Silva (EPIA Workshops, 2007)

Efficient multi-word expressions extractor using suffix arrays and related structures. - José Aires; Gabriel Pereira Lopes; Joaquim Ferreira da Silva (CIKM-iNEWS, 2008)

A Document Descriptor Extractor Based on Relevant Expressions. - Joaquim Ferreira da Silva; Gabriel Pereira Lopes (EPIA, 2009)

Towards Automatic Building of Document Keywords. - Joaquim F. Silva; José Gabriel Lopes (COLING (Posters), 2010)

Unsupervised Music Genre Classification with a Model-Based Approach. - Luís Barreira; Sofia Cavaco; Joaquim Ferreira da Silva (EPIA, 2011)

Mining Concepts from Texts. - João Ventura 002; Joaquim Ferreira da Silva (ICCS, 2012)

Finding occupational accident patterns in the extractive industry using a systematic data mining approach. - Joaquim F. Silva; Celeste Jacinto (Reliab. Eng. Syst. Saf., 2012)

Automatic Extraction of Explicit and Implicit Keywords to Build Document Descriptors. - João Ventura 002; Joaquim Ferreira da Silva (EPIA, 2013)

Using Clusters of Concepts to Extract Semantic Relations from Standalone Documents. - João Ventura 002; Joaquim Ferreira da Silva (EPIA, 2013)

Bilingually Learning Word Senses for Translation. - João Casteleiro; Gabriel Pereira Lopes; Joaquim F. Silva (CICLing (2), 2014)

Context Sense Clustering for Translation. - João Casteleiro; José Gabriel Lopes; Joaquim F. Silva (SSST@EMNLP, 2014)

Cross-Lingual Word Sense Clustering for Sense Disambiguation. - João Casteleiro; Joaquim Ferreira da Silva; Gabriel Pereira Lopes (EPIA, 2015)

A Parallel Algorithm for Statistical Multiword Term Extraction from Very Large Corpora. - Carlos Gonçalves; Joaquim F. Silva; José C. Cunha (HPCC/CSS/ICESS, 2015)

A theoretical model for n-gram distribution in big data corpora. - Joaquim F. Silva; Carlos Gonçalves; José C. Cunha (IEEE BigData, 2016)

An n-gram cache for large-scale parallel extraction of multiword relevant expressions with LocalMaxs. - Carlos Gonçalves; Joaquim F. Silva; José C. Cunha (eScience, 2016)

Automatic Classification of Impact Sounds with Rejection of Unknown Samples. - Joaquim F. Silva; Sofia Cavaco; Gabriel Pereira Lopes (New Gener. Comput., 2017)

n-gram Cache Performance in Statistical Extraction of Relevant Terms in Large Corpora. - Carlos Gonçalves; Joaquim F. Silva; José C. Cunha (ICCS (2), 2019)

An Empirical Model for n-gram Frequency Distribution in Large Corpora. - Joaquim F. Silva; José C. Cunha (PAKDD (2), 2020)

A Model for Predicting n-gram Frequency Distribution in Large Corpora. - Joaquim F. Silva; José C. Cunha (ICCS (1), 2021)

Vocalization Features to Recognize Small Dolphin Species for Limited Datasets. - Luís Rosário; Sofia Cavaco; Joaquim F. Silva; Luís Freitas; Philippe Verborgh (EPIA (1), 2023)

Improving LocalMaxs Multiword Expression Statistical Extractor. - Joaquim F. Silva; José C. Cunha (ICCS (2), 2023)

Unveiling Cetacean Voices: Entropy-Powered Spectrogram Denoising for Deep Learning Applications. - Francisco Bicudo; Sofia Cavaco; Luís Freitas; Philippe Verborgh; Ruth Esteban; Pauline Gauffier; Joaquim F. Silva (EPIA (2), 2024)

How Large Corpora Sizes Influence the Distribution of Low Frequency Text n-grams. - Joaquim F. Silva; José C. Cunha (PAKDD (3), 2024)