Grammarly

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Maksym Andriushchenko , PhD student at École Polytechnique Fédérale de Lausanne, Switzerland

On the Stability of Fine-Tuning BERT

This talk will be based on our recent paper accepted to ICLR 2021. ... More...

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Elena Voita , Ph.D. student at the University of Edinburgh and the University of Amsterdam

Information-Theoretic Probing with Minimum Description Length

How can you know whether a model (e.g., ELMo, BERT) has learned to encode a linguistic property? The most popular approach to measure how well pretrained ... More...

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Tatjana Scheffler , Ph.D., University of Potsdam, Germany

CompLing Workshop: Shallow Discourse Parsing

Utterances in natural language do not occur in isolation, but rather are part of larger texts or conversations. A central notion of such larger discourses is ... More...

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Kenneth Heafield , Lecturer at the University of Edinburgh

Dumpster diving for parallel corpora with efficient translation

The ParaCrawl project is mining a petabyte of the web for translations to release freely at https://paracrawl.eu/releases.html. But the web is a messy place, ... More...

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Nizar Habash , An Associate Professor of Computer Science at New York University Abu Dhabi

Arabic Natural Language Processing: Challenges and Solutions

The Arabic language presents a number of challenges to researchers and developers of language technologies. Arabic is both morphologically rich and highly ... More...

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Alexandre Klementiev , A member of the Core AI group at Amazon

Machine Learning and Natural Language Processing @ Amazon

Data in various parts of the company is creating a tremendous number of opportunities for machine learning to improve existing customer experience and create ... More...

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Max Silberztein , The creator of NooJ, a development environment for linguists

Workshop: The NooJ linguistic development environment

Join Grammarly and Dr. Silberztein for a discussion of NooJ, a development environment for linguists. Dr. Silberztein will show you how to use Nooj to apply ... More...

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Artem Chernodub , Chief Scientist at Clikque Technology and Associate Professor at Ukrainian Catholic University

Sequence Tagging using Neural Networks

Sequence Tagging is an important NLP problem that has several applications, including Named Entity Recognition, Part-of-Speech Tagging, and Argument Component ... More...

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Natalia Grabar , NLP scientist

Automatic text simplification in the biomedical domain

We propose a set of experiments with the general objective of ensuring a better understanding of technical health documents. Various experiments address ... More...

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Marek Rei , Senior Research Associate, University of Cambridge

Understanding and Assessing Language with Neural Network Models

The number of people learning English around the world is currently estimated at 1.5 billion and is predicted to exceed 1.9 billion by 2020. The increasing need ... More...

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Isabelle Augenstein , Assistant Professor, University of Copenhagen

Learning to Read for Automated Fact Checking

The spread of misinformation and disinformation is growing, and it’s having a big impact on interpersonal communications, politics and even science. ... More...

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Jordi Carrera Ventura , Artificial Intelligence technologist at Telefónica R&D

Recent advances in applied chatbot technology

Chatbots (aka conversational agents, spoken dialogue systems) allow users to interface with computers using natural language by simply asking questions or ... More...

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Tim Baldwin , Professor of Computer Science, University of Melbourne

Domain and Social Bias in NLP: Case Study in Language Identification

Two forms of bias that are commonly associated with natural language processing (NLP) tasks are domain bias (implicit bias towards documents from a particular ... More...

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Yuriy Guts , Machine Learning Engineer at DataRobot

Paraphrase Detection in NLP

Paraphrase detection is a challenging NLP task since it requires both thorough syntactic and thorough semantic analysis to identify whether two phrases have the ... More...

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Andriy Gryshchuk , Senior Research Engineer at Grammarly

Paraphrase Detection in NLP

Paraphrase detection is a challenging NLP task since it requires both thorough syntactic and thorough semantic analysis to identify whether two phrases have the ... More...

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Thierry Hamon , Associate Professor in Computer Science at Université Paris 13 and a member of the LIMSI-CNRS research lab.

Natural Language Processing for biomedical text mining

Among the large amounts of unstructured data generated across the world and available nowadays, textual data represent an important source of information. This ... More...

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Svitlana Vakulenko , Researcher at the Institute for Information Business at WU Wien and a PhD student in Informatics at TU Wien

Memory Networks for Question Answering on Tabular Data

Tabular data is difficult to analyze and search through. There is a clear need for new tools and interfaces that would allow even non-tech-savvy users to gain ... More...

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Mariana Romanyshyn , Technical Lead, Computational Linguist at Grammarly

NLP: a peek into a day of a computational linguist – PART 1

You will dive into the mysteries of computational linguistics with genuine computational linguists! Get a solid understanding of language matters with us: ... More...

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Mariana Romanyshyn , Technical Lead, Computational Linguist at Grammarly

NLP: a peek into a day of a computational linguist – PART 2

You will dive into the mysteries of computational linguistics with genuine computational linguists! Get a solid understanding of language matters with us: ... More...

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Serhii Havrylov , Ph.D. candidate at the University of Amsterdam

Emergence of language with multi-agent games

With the rapid advance in machine learning in the recent years, the idea of enabling intelligent agents to communicate with each other and with humans is ... More...

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Joel Tetreault , Research Director at Grammarly

Automatic Detection of Abusive Language

Detection of abusive language in user-generated online content has become an issue of increasing importance in recent years. For instance, cyberbullying and ... More...