acl-org / acl-org/acl-anthology

Ingestion Request: {CLARIN2023}

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ingestion
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Python
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Description

### General information about this request

- [x] I confirm that I have read the [Information for Submitters](https://aclanthology.org/info/contrib/).
- [x] I am submitting a request for a **new venue** that does not exist in the ACL Anthology yet.

### Venue Identifier

clarin

### ACL SIG(s) sponsoring or endorsing the whole venue

_No response_

### Volume Title

CLARIN Annual Conference Proceedings 2023

### Venue Name (only if you are submitting a new venue)

_No response_

### Venue Website (only if you are submitting a new venue)

https://www.clarin.eu/

### Date of Publication

_No response_

### Location

Leuven, Belgium

### Submission Platform(s)

- [ ] OpenReview (proceedings compiled with [aclpub2](https://github.com/rycolab/aclpub2/))
- [ ] Softconf/START (export the proceedings in ACLPUB format; no need to convert with aclpub2)
- [x] Other (explain)

### ORCID iDs

- [x] We will instruct authors to supply ORCID information in their profiles in the submission platform ([instructions](https://aclanthology.org/info/author-pages/)). (Not necessary for historical volumes.)

### Delivery Method

- [x] Private Github repo (preferred)
- [ ] wget-able web link (HTTP, FTP)
- [ ] Proprietary file sharing service (Google Drive or Dropbox)

### Supporting Information

EasyChair was used to collect submissions for the CLARIN Annual Conference 2023.

Contributor guide

No contributing guide indexed for this repository

Research direction

The request contains only venue metadata and links; no code files, tests, or scripts are named. Start by reading the linked Information for Submitters page and any repository guidance for private GitHub ingestion, then review prior ingestion requests to match the expected venue/volume metadata shape. Locate where new venue/volume entries are defined in the workflow and add a CLARIN Annual Conference 2023 record in the same format. Done means the CLARIN record is accepted by ingestion and appears in Anthology output.

Written by the indexing model from the issue text.

Assessment

Tech stack
github
Domain
content
Issue type
Feature
Difficulty
3/5
Estimated time
Half a day
Activity status
Active
Clarity
Mostly clear
Newbie friendliness
56/100

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