31.10.18: Two papers, Latent Multi-task Architecture Learning and A Hierarchical Multi-task Approach for Learning Embeddings from Semantic Tasks, have been accepted to AAAI 2019.
31.10.-04.11.18: I attended EMNLP 2018 and presenting our paper A Discriminative Latent-Variable Model for Bilingual Lexicon Induction.
29.10.18: This Week in Machine Learning & AI (TWiML&AI) interviewed me for an episode of their podcast.
14.10.18: Analytics Vidhya interviewed me for an episode of their DataHack Radio.
09.-14.09.18: I attended the Deep Learning Indaba 2018 in South Africa as a mentor. I organized the Session on Frontiers of Natural Language Processing with Herman Kamper. Slides of the session can be found here.
07.09.18: Wired covered our work on pretrained language models.
10.08.18: Our paper A Discriminative Latent-Variable Model for Bilingual Lexicon Induction with Ryan Cotterell, Yova Kementchedjhieva, and Anders Søgaard was accepted to EMNLP 2018.
27.07.18: Our paper Generalizing Procrustes Analysis for Better Bilingual Dictionary Induction with Yova Kementchedjhieva, Ryan Cotterell, and Anders Søgaard was accepted to CoNLL 2018.
01.-06.07.18: I attended NAACL 2018 in New Orleans and presented Multi-task Learning of Pairwise Sequence Classification Tasks Over Disparate Label Spaces and 360° Stance Detection. Here are my highlights.
05.06.18: I did an interview on cross-lingual word embeddings with Matt Gardner and Waleed Ammar from the NLP Highlights podcast.
20.04.18: 3 papers accepted at ACL 2018! Strong Baselines for Neural Semi-supervised Learning under Domain Shift with Barbara Plank, Universal Language Model Fine-tuning for Text Classification with Jeremy Howard, and On the Limitations of Unsupervised Bilingual Dictionary Induction with Anders Søgaard and Ivan Vulić.
14.02.2018: My paper Multi-task Learning of Pairwise Sequence Classification Tasks Over Disparate Label Spaces with Isabelle Augenstein and Anders Søgaard was accepted as an oral presentation at NAACL 2018.
24.11.17: I gave a guest lecture on Optimization for Deep Learning in the Advanced Topics in Computational Intelligence course at the Dublin Institute for Technology.
08.11.17: My startup Aylien has raised €2m new funding.
13.10.17: I gave a talk on transfer learning for NLP at Cambridge, UK and was invited by Alex Kendall.
12.10.17: I gave a talk on transfer learning for NLP at The Alan Turing Institute and was invited by Pontus Stenetorp.
25.-27.09.17: I attended the second Google NLP Summit in Zurich.
01.07.17: My paper with Barbara Plank Learning to select data for transfer learning with Bayesian Optimization was accepted to EMNLP 2017.
31.05.17: I gave a talk on transfer learning for NLP at the Natural Language Processing Copenhagen meetup.
02.11.16: We've announced funded PhD and Master's opportunities at AYLIEN.
09.09.16: My paper Towards a continuous modeling of natural language domains has been accepted at the Uphill Battles in Language Processing workshop at EMNLP 2016.
24.08.16: I gave a talk on A Hierarchical Model of Reviews for Aspect-based Sentiment Analysis at the Insight SIG NLP meeting at NUIG.
03.08.16: I gave a talk on Softmax Approximations for Learning Word Embeddings and Language Modeling at the NLP Dublin meetup.
29.07.16: My paper A Hierarchical Model of Reviews for Aspect-based Sentiment Analysis has been accepted to EMNLP 2016.
July '16: I started organizing the NLP Dublin meetup.
21.-24.03.16: I attended the 2nd Summer School on Integrating Vision and Language with a focus on Deep Learning in Malta.