multilingual NLP

The Third Workshop on NLP for Indigenous Languages of the Americas (AmericasNLP 2023)

Second Call for Papers

The Third Workshop on NLP for Indigenous Languages of the Americas (AmericasNLP) will be co-located with the 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023), which is scheduled to be held in Toronto, Canada, between July 9-14, 2023.

The Third Workshop on NLP for Indigenous Languages of the Americas (AmericasNLP 2023)

First Call for Papers

The Third Workshop on NLP for Indigenous Languages of the Americas (AmericasNLP) will be co-located with the 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023), which is scheduled to be held in Toronto, Canada, between July 9-14, 2023.

The submission deadline was extended! The previous deadline is February, 13

The Field matters workshop aims to bring together the urgent needs of field linguists and the vast community of NLP practitioners, developing up-to-date NLP tools for easier, faster, more reliable data collection and annotation.

This year we are holding the second workshop on NLP Applications to field linguistics. The first Field Matters workshop took place at COLING 2022 on October 16, 2022.

We accept papers on the following topics:

**OVERVIEW**

Machine Reading for Question Answering (MRQA) is a dedicated workshop for research on machine reading systems that answer questions by understanding context documents. This year, we seek submissions on broad, recent research on MRQA in addition to two special tracks: interpretability and multilinguality.

**CALL FOR PAPERS**

In 2020, SIGTYP is offering a shared task on the prediction of typological features. The shared task encompasses nearly 2,000 languages, with typological features taken from the World Atlas of Language Structures (WALS; Dryer and Haspelmath 2013).

To participate in the shared task, you will build a system that can predict typological properties of languages, given a handful of observed features. Training examples and development examples have already been provided (see link below). All submitted systems will be compared on a held-out test set.

Universal Dependencies (UD; https://www.universaldependencies.org) is a framework for cross-linguistically consistent treebank annotation that has so far been applied to 90 languages.

[Apologies for x-posting]

Second Call for Abstracts
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Typology for Polyglot NLP (TyP-NLP), a workshop to be held at the 2019 meeting of the Association for Computational Linguistics (ACL) in Florence, Italy, is now accepting submissions.

Contact Email: typology-and-nlp@googlegroups.com
Website: typology-and-nlp.github.io

[Apologies for x-posting, the softconf link was broken]

Deadline extension (May 10th): Call for Abstracts
========================================

Typology for Polyglot NLP (TyP-NLP), a workshop to be held at the 2019 meeting of the Association for Computational Linguistics (ACL) is now accepting submissions.

Contact Email: typology-and-nlp@googlegroups.com
Website: typology-and-nlp.github.io

RANLP (Recent Advances in Natural Language Processing) has established itself over the years as one of the most influential and competitive NLP conferences. The event is held biennially and grew out of the International summer schools "Contemporary topics in Computational Linguistics", which were organised for many years as training events. Selected papers from most RANLP conferences have been regularly published in a volume as part of John Benjamins’ series “Current Trends of Linguistic Research”.

Call for Data Contributors - MultiLing 2013
(Please feel free to forward this call. Apologies for cross-postings.)

Overview
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MultiLing 2013 is a workshop, held within ACL 2013, which covers three subdomains of
Natural Language Processing, focused on the multilingual aspect of summarization.
The MultiLing 2013 workshop builds upon the Text Analysis Conference (TAC)
MultiLing Pilot task of 2011, where systems were asked to generate fluent, representative
summaries (around 250 words) for each of 10 predefined topics per language.