events
NAACL 2019 Highlights
This post discusses highlights of NAACL 2019. It covers transfer learning, common sense reasoning, natural language generation, bias, non-English languages, and diversity and inclusion.
Latest
transfer learning
Neural Transfer Learning for Natural Language Processing (PhD thesis)
This post discusses my PhD thesis Neural Transfer Learning for Natural Language Processing and some new material presented in it.
events
AAAI 2019 Highlights: Dialogue, reproducibility, and more
This post discusses highlights of AAAI 2019. It covers dialogue, reproducibility, question answering, the Oxford style debate, invited talks, and a diverse set of research papers.
natural language processing
The 4 Biggest Open Problems in NLP
This is the second post based on the Frontiers of NLP session at the Deep Learning Indaba 2018. It discusses 4 major open problems in NLP.
transfer learning
10 Exciting Ideas of 2018 in NLP
This post gathers 10 ideas that I found exciting and impactful this year—and that we'll likely see more of in the future. For each idea, it highlights 1-2 papers that execute them well.
events
EMNLP 2018 Highlights: Inductive bias, cross-lingual learning, and more
This post discusses highlights of EMNLP 2018. It focuses on talks and papers dealing with inductive bias, cross-lingual learning, word embeddings, latent variable models, language models, and datasets.
natural language processing
HackerNoon Interview
This post is an interview by fast.ai fellow Sanyam Bhutani with me. It covers my background, advice on getting started with NLP, writing technical articles, and more.
language models
A Review of the Neural History of Natural Language Processing
This post expands on the Frontiers of Natural Language Processing session organized at the Deep Learning Indaba 2018. It discusses major recent advances in NLP focusing on neural network-based methods.
natural language processing
ACL 2018 Highlights: Understanding Representations and Evaluation in More Challenging Settings
This post discusses highlights of the 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018). It focuses on understanding representations and evaluating in more challenging scenarios.
natural language processing
NLP's ImageNet moment has arrived
Big changes are underway in the world of NLP. The long reign of word vectors as NLP's core representation technique has seen an exciting new line of challengers emerge. These approaches demonstrated that pretrained language models can achieve state-of-the-art results and herald a watershed moment.
natural language processing
Tracking the Progress in Natural Language Processing
Research in ML and NLP is moving at a tremendous pace, which is an obstacle for people wanting to enter the field. To make working with new tasks easier, this post introduces a resource that tracks the progress and state-of-the-art across many tasks in NLP.
natural language processing
Highlights of NAACL-HLT 2018: Generalization, Test-of-time, and Dialogue Systems
This post discusses highlights of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2018). It focuses on Generalization, the Test-of-Time awards, and Dialogue Systems.