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COLING, the International Conference on Computational Linguistics, is one of the premier conferences for natural language processing and computational linguistics. Often grouped within the field of artificial intelligence, but actually pre-dating the development of artificial intelligence, advances in computational linguistics and natural language processing are now some of the major drivers behind the use of artificial intelligence for commercial and social applications – for example, on-line search, machine translation and with voice-assisted conversational devices.

First established in 1965, the biennial COLING conference is held in diverse parts of the globe and attracts participants from both top-ranked research centers and emerging countries. Today, the most important developments in our field are taking place not only in universities and academic research institutes, but also in industrial research departments and in technological startups. COLING conferences provide opportunities for all these communities to showcase their exciting developments.

COLING 2020

2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics.

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**Conference Structure**
https://2021.naacl.org/blog/conference-structure/

**Walkthrough video of how to NAACL 2021** 

Please take a moment to view this video explaining how to navigate the platform, attend sessions network with other attendees. 


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NAACL 2021

We reevaluate an existing adpositional annotation scheme with respect to two thorny semantic domains: accompaniment and purpose. ‘Accompaniment’ broadly speaking includes two entities situated together or participating in the same event, while ‘purpose’ broadly speaking covers the desired outcome of an action, the intended use or evaluated use of an entity, and more. We argue the policy in the SNACS scheme for English should be recalibrated with respect to these clusters of interrelated meanings without adding complexity to the overall scheme. Our analysis highlights tradeoffs in lumping vs. splitting decisions as well as the flexibility afforded by the construal analysis.

Sprucing up Supersenses:  Untangling the Semantic Clusters of Accompaniment and Purpose

technical paper

Exploring diachronic syntactic shifts with dependency length: the case of scientific English

Parsing in the absence of related languages: Evaluating low-resource dependency parsers on Tagalog

Dependency analysis of noun incorporation in polysynthetic languages

Identifying and Handling Cross-Treebank Inconsistencies in UD: A Pilot Study

I got a construction looks funny - Representing and recovering non-standard constructions in UD

Composing Byte-Pair Encodings for Morphological Sequence Classification

Annotating MWEs in the Irish UD Treebank

Corpus evidence for word order freezing in Russian and German

Profiling--UD: a Tool for Linguistic Profiling of Texts

Subjecthood and annotation: The cases of French and Wolof

https://d3smihljt9218e.cloudfront.net/transcript/6521/subtitle/ac4e93f2de2a24bdc3fe5ee27fe3c8e6.vtt

English

Sprucing up Supersenses:  Untangling the Semantic Clusters of Accompaniment and Purpose

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Next from COLING 2020

Exploring diachronic syntactic shifts with dependency length: the case of scientific English

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LightSeq: A High Performance Inference Library for Transformers

Sprucing up Supersenses: Untangling the Semantic Clusters of Accompaniment and Purpose

Downloads

Next from COLING 2020

Exploring diachronic syntactic shifts with dependency length: the case of scientific English

Similar lecture

LightSeq: A High Performance Inference Library for Transformers

Sprucing up Supersenses:  Untangling the Semantic Clusters of Accompaniment and Purpose