136 citations · 448 across the 41 of their papers we have counts for
8 papers · 1 filter
Bilingual Topic Models for Comparable Corpora
Georgios Balikas, Massih-Reza Amini, Marianne Clausel
Probabilistic topic models like Latent Dirichlet Allocation (LDA) have been previously extended to the bilingual setting. A fundamental modeling assumption in several of these exte…
Concurrent Learning of Semantic Relations
Georgios Balikas, Gaël Dias, Rumen Moraliyski +1
Discovering whether words are semantically related and identifying the specific semantic relation that holds between them is of crucial importance for NLP as it is essential for ta…
Cross-lingual Document Retrieval using Regularized Wasserstein Distance
Georgios Balikas, Charlotte Laclau, Ievgen Redko +1
Many information retrieval algorithms rely on the notion of a good distance that allows to efficiently compare objects of different nature. Recently, a new promising metric called…
CAp 2017 challenge: Twitter Named Entity Recognition
Cédric Lopez, Ioannis Partalas, Georgios Balikas +5
The paper describes the CAp 2017 challenge. The challenge concerns the problem of Named Entity Recognition (NER) for tweets written in French. We first present the data preparation…
On the effectiveness of feature set augmentation using clusters of word embeddings
Georgios Balikas, Ioannis Partalas
Word clusters have been empirically shown to offer important performance improvements on various tasks. Despite their importance, their incorporation in the standard pipeline of fe…
An empirical study on large scale text classification with skip-gram embeddings
Georgios Balikas, Massih-Reza Amini
We investigate the integration of word embeddings as classification features in the setting of large scale text classification. Such representations have been used in a plethora of…
TwiSE at SemEval-2016 Task 4: Twitter Sentiment Classification
Georgios Balikas, Massih-Reza Amini
This paper describes the participation of the team "TwiSE" in the SemEval 2016 challenge. Specifically, we participated in Task 4, namely "Sentiment Analysis in Twitter" for which…
On a Topic Model for Sentences
Georgios Balikas, Massih-Reza Amini, Marianne Clausel
Probabilistic topic models are generative models that describe the content of documents by discovering the latent topics underlying them. However, the structure of the textual inpu…