From 87ac5a83336d8594ec9da9efc79bb1c97da04681 Mon Sep 17 00:00:00 2001 From: Daniel Hershcovich Date: Tue, 22 Dec 2020 09:53:27 +0100 Subject: [PATCH] Add citation and video links --- README.md | 39 +++++++++++++++++++++++++++++---------- 1 file changed, 29 insertions(+), 10 deletions(-) diff --git a/README.md b/README.md index cc4b9b1..8536fa1 100644 --- a/README.md +++ b/README.md @@ -1,15 +1,34 @@ # Cross-lingual Semantic Representation for NLP with UCCA: Tutorial at COLING 2020 -## [Omri Abend](https://www.cse.huji.ac.il/~oabend), Dotan Dvir, [Daniel Hershcovich](http://danielhers.github.io/), [Jakob Prange](https://prange.jakob.georgetown.domains) and [Nathan Schneider](http://nathan.cl) +## Omri Abend, Dotan Dvir, Daniel Hershcovich, Jakob Prange and Nathan Schneider This is an introductory tutorial to [UCCA (Universal Conceptual Cognitive Annotation)](https://universalconceptualcognitiveannotation.github.io/), a cross-linguistically applicable framework for semantic representation, with corpora annotated in English, German and French, and ongoing annotation in Russian and Hebrew. UCCA builds on extensive typological work and supports rapid annotation. The tutorial provides a detailed introduction to the UCCA annotation guidelines, design philosophy and the available resources; and a comparison to other meaning representations. It also surveys the existing parsing work, including the findings of three recent shared tasks, in SemEval and CoNLL, that addressed UCCA parsing. Finally, the tutorial presents recent applications and extensions to the scheme, demonstrating its value for natural language processing in a range of languages and domains. -The tutorial is presented at [COLING 2020](https://coling2020.org/): pre-recorded presentations are [available on the conference live website](https://underline.io/events/54/sessions?eventSessionId=1411) (see also [unedited videos](https://github.com/UniversalConceptualCognitiveAnnotation/tutorial/releases/download/coling2020/videos.zip)), and the [live Q&A](https://underline.io/events/54/sessions/1411/lecture/8485-tutorial-cross-lingual-semantic-representation-for-nlp-with-ucca) will take place on December 12th, 2020 at 14:30-18:00 CET. +The tutorial was presented at [COLING 2020](https://coling2020.org/). +All contents are available in this repository, including the [abstract](abstract.pdf), slides and [recorded presentations](https://github.com/UniversalConceptualCognitiveAnnotation/tutorial/releases/tag/coling2020). -The tutorial contents are available in this repository, including the [abstract](abstract.pdf) and slides. +### Contents +1. A Bird's Eye View ([Omri Abend](https://www.cse.huji.ac.il/~oabend)): [[slides](01-Birds_Eye_View.pdf)], [[recording](https://github.com/UniversalConceptualCognitiveAnnotation/tutorial/releases/download/coling2020/01-Birds_Eye_View.mp4)] +2. Annotation of English ([Nathan Schneider](http://nathan.cl)): [[slides](02-Annotation.pdf)], [[recording](https://github.com/UniversalConceptualCognitiveAnnotation/tutorial/releases/download/coling2020/02-Annotation.mp4)] +3. Annotated Corpora and UCCA-App (Dotan Dvir): [[slides](03-Corpora_and_UCCAApp.pdf)], [[recording](https://github.com/UniversalConceptualCognitiveAnnotation/tutorial/releases/download/coling2020/03-Corpora_UCCAApp.mp4)] +4. Extension Layers and Comparison to Other Formalisms ([Jakob Prange](https://prange.jakob.georgetown.domains)): [[slides](04-Extensions_Comparison.pdf)], [[recording](https://github.com/UniversalConceptualCognitiveAnnotation/tutorial/releases/download/coling2020/04-Extensions_Comparison.mp4)] +5. Parsing, Evaluation and Applications ([Daniel Hershcovich](http://danielhers.github.io/)): [[slides](05-Parsing_Evaluation_Applications.pdf)], [[recording](https://github.com/UniversalConceptualCognitiveAnnotation/tutorial/releases/download/coling2020/05-Parsing_Evaluation_Applications.mp4)] +6. Cross-linguistic Studies ([Omri Abend](https://www.cse.huji.ac.il/~oabend)): [[slides](06-Cross_Linguistic.pdf)], [[recording](https://github.com/UniversalConceptualCognitiveAnnotation/tutorial/releases/download/coling2020/06-Cross_Linguistic.mp4)] -### Slides -1. [A Bird's Eye View](01-Birds_Eye_View.pdf) (Omri Abend) -2. [Annotation of English](02-Annotation.pdf) (Nathan Schneider) -3. [Annotated Corpora and UCCA-App](03-Corpora_and_UCCAApp.pdf) (Dotan Dvir) -4. [Extension Layers and Comparison to Other Formalisms](04-Extensions_Comparison.pdf) (Jakob Prange) -5. [Parsing, Evaluation and Applications](05-Parsing_Evaluation_Applications.pdf) (Daniel Hershcovich) -6. [Cross-linguistic Studies](06-Cross_Linguistic.pdf) (Omri Abend) +[The tutorial is also on the ACL Anthology](https://www.aclweb.org/anthology/2020.coling-tutorials.1). To cite it, please use: +``` +@inproceedings{abend-etal-2020-cross, + title = "Cross-lingual Semantic Representation for {NLP} with {UCCA}", + author = "Abend, Omri and + Dvir, Dotan and + Hershcovich, Daniel and + Prange, Jakob and + Schneider, Nathan", + booktitle = "Proceedings of the 28th International Conference on Computational Linguistics: Tutorial Abstracts", + month = dec, + year = "2020", + address = "Barcelona, Spain (Online)", + publisher = "International Committee for Computational Linguistics", + url = "https://www.aclweb.org/anthology/2020.coling-tutorials.1", + pages = "1--9", + abstract = "This is an introductory tutorial to UCCA (Universal Conceptual Cognitive Annotation), a cross-linguistically applicable framework for semantic representation, with corpora annotated in English, German and French, and ongoing annotation in Russian and Hebrew. UCCA builds on extensive typological work and supports rapid annotation. The tutorial will provide a detailed introduction to the UCCA annotation guidelines, design philosophy and the available resources; and a comparison to other meaning representations. It will also survey the existing parsing work, including the findings of three recent shared tasks, in SemEval and CoNLL, that addressed UCCA parsing. Finally, the tutorial will present recent applications and extensions to the scheme, demonstrating its value for natural language processing in a range of languages and domains.", +} +```