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COVID-19 UPDATE
ISMIR 2020 is going ahead as planned, but it will be an online conference. NLP4MusA therefore will also be online. However, the submission, review and publication dates remain the same. Accepted papers will still be published in the ACL anthology.
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Natural Language Processing (NLP) research is typically associated with the advancement of language technologies. However, in today's growing digital landscape, where users engage with other users, products and service providers, NLP is becoming ubiquitous due to its ability to facilitate and personalize access to digital content of any nature. One case of particular relevance is the audio entertainment industry, as language is a key component of most audio content (e.g., songs, podcasts, radio shows, audio ads, etc.) as well as user-content interactions (e.g., textual queries, spoken utterances, social media activity, etc.). In this context, we propose the First Workshop on NLP for Music and Audio, a forum for bringing together academic and industrial scientists and stakeholders interested in exploring synergies between NLP and music and audio.
Topics of Interest
We welcome both academic and industry submissions at the crossroads of NLP and music and audio, including (but not limited to) topics such as:
NLP for Music and Audio Understanding
- Tagging and meta-tagging
- Knowledge graph construction
- Information extraction
- Named entity recognition and linking
- Speech to text
- Song and podcast segmentation
- Topic modeling
- Sentiment analysis
- Representation learning
- Bias in music and audio corpora
- Audio captioning
- Debiasing music entity embeddings
NLP for Music and Audio Retrieval and Personalization
- Conversational AI
- Slot filling and intent prediction
- Information retrieval
- Cross-modal retrieval
- Recommender systems
- Ads personalization
- Responsible recommendations
- Fairness and transparency
NLP for Music and Audio Generation
- Lyrics generation
- Music generation with language models
- Spoken audio/podcast generation
- Submission Instructions
We accept extended abstracts of up to 2 pages or short-papers of up to 4 pages excluding references. Submissions should adhere to the ACL Anthology formatting guidelines.
Only papers using the above template will be considered. Word templates will not be provided.
Papers should be submitted via EasyChair: https://easychair.org/conferences/?conf=nlp4musa
Accepted papers will be published at the ACL Anthology.