Understanding and Assessing Language with Neural Network Models

•••► Topic: Understanding and Assessing Language with Neural Network Models •••► Speaker: Marek Rei, Senior Research Associate, University of Cambridge •••► Who will be interested: The topic of the talk will be relevant to people working in machine learning, natural language processing, or language teaching and assessment. Some knowledge of machine learning and NLP will be required to fully follow the talk. •••► Where: Grammarly office, BC Gulliver, Sportyvna Square, 1a •••► When: Tuesday, March 20th, 7 PM •••► Language: English •••► Registration: https://gram.ly/HRLr Please note that we will pre-moderate the list of participants. Due to a limited number of seats, we'll have to give preference to specialists whose area of expertise or interest is more relevant to the meetup topic. Please, wait for a confirmation email from our side. "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 to communicate beyond borders has created a large unmet demand for qualified language teachers across the globe. Computational models for error detection and essay scoring can alleviate this issue by giving millions of people access to affordable learning resources. Successful systems for automated language teaching will need to analyse language at various levels of granularity and provide useful feedback to individual students.In this talk, we will explore some of the latest approaches to written language assessment, using neural architectures for composing the meaning of a sentence or text, and also discuss potential future directions in the field."