Proceedings of the 28th International Conference on Computational Linguistics: Tutorial Abstracts

7 papers
Cross-lingual Semantic Representation for NLP with UCCA (2020.coling-tutorials)

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Challenge: introductory tutorial to UCCA, a symbolic meaning representation for semantic representations.
Approach: This tutorial introduces UCCA, a cross-linguistically applicable framework for semantic representation . it will provide a detailed introduction to the UCca annotation guidelines, design philosophy and available resources .
Outcome: The tutorial will provide a detailed introduction to the UCCA framework and compare it to other meaning representations.
Embeddings in Natural Language Processing (2020.coling-tutorials)

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Challenge: Embeddings have been a key topic of interest in NLP for the past decade . a quick warm-up introduction to NLP and why it is important to have a semantic comprehension of texts .
Approach: This tutorial will provide a high-level synthesis of the main embedding techniques in NLP . it will start with word embedds and then move to other types of embeddable vectors .
Outcome: This tutorial will provide a high-level synthesis of the main embedding techniques in NLP . it will start with word embedds and move to other types of embeddable representations .
Multilingual Neural Machine Translation (2020.coling-tutorials)

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Challenge: In this tutorial, we will cover the latest advances in NMT to enhance low-resource translation.
Approach: They will cover the latest advances in NMT approaches that leverage multilingualism . they will focus on topics such as language divergence, transfer learning and pivoting .
Outcome: This tutorial will cover the latest advances in NMT to enhance low-resource translation models.
Detection and Resolution of Rumors and Misinformation with NLP (2020.coling-tutorials)

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Challenge: Detecting false and misleading claims on the web is a sub-field of NLP . this half-day tutorial presents the theory behind each of these steps and the state-of-the-art solutions.
Approach: This half-day tutorial presents the theory behind false and misleading claims detection . it covers the steps involved in identifying check-worthy claims, tracking claims and rumors, rumor collection and annotation, grounding claims against knowledge bases, and using stance to verify claims.
Outcome: This half-day tutorial presents the theory behind each of these steps and the state-of-the-art solutions.
A guide to the dataset explosion in QA, NLI, and commonsense reasoning (2020.coling-tutorials)

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Challenge: a tutorial aims to provide an up-to-date guide to the recent datasets . the target audience is the NLP practitioners who are lost in dozens of the recent data sets.
Approach: This tutorial provides an up-to-date guide to the recent datasets . it surveys old and new methodological issues with dataset construction .
Outcome: This tutorial aims to provide an up-to-date guide to the recent datasets . it surveys the old and new methodological issues with dataset construction .
A Crash Course in Automatic Grammatical Error Correction (2020.coling-tutorials)

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Challenge: Grammatical Error Correction (GEC) is the task of automatically detecting and correcting all types of errors in written text.
Approach: tutorial aims to introduce participants to the field of Grammatical Error Correction . aim is to examine the development of neural-based GEC systems .
Outcome: the tutorial aims to introduce participants to the current state of the art in the field of Grammatical Error Correction (GEC)
Endangered Languages meet Modern NLP (2020.coling-tutorials)

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Challenge: This tutorial will focus on NLP for endangered languages documentation and revitalization.
Approach: This tutorial will focus on NLP for endangered languages documentation and revitalization . the goal is to motivate more NLP practitioners to work towards this important direction .
Outcome: This tutorial will acquaint attendees with the process and the challenges of language documentation and revitalization.

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