June 2024 - Corpora - ELRA lists

job opening at Tübingen University: Full professorship in Computational Linguistics
by Erhard Hinrichs 03 Jun '24

03 Jun '24

W3 (Full) Professor of Computational Linguistics (m/f/d) Faculty of Humanities, Institute of Linguistics Application deadline: 20.06.2024 The Faculty of Humanities at the University of Tübingen invites applications for a position at the Institute of Linguistics as a *W3 (Full) Professor of Computational Linguistics (m/f/d)* to commence as soon as possible. The future position holder must be outstanding in research in the field of Computational Linguistics, evidenced by relevant publications in leading journals and conference proceedings. Demonstrated expertise in modern NLP methods, such as neural language models or other machine learning techniques, is required. Desirable is a research profile that is compatible with linguistic theory and cognitive science, such as through theoretical or empirical comparisons of machine and human learning and processing. As the professorship will play a key role in the partly international Bachelor and Master programs in Computational Linguistics/Computational Linguistics, General Linguistics, and Cognitive Science, the future position holder should be able to represent the full breadth of Computational Linguistics. Willingness to acquire third-party funding and to participate in collaborative interdisciplinary third-party funded projects of the university is expected. Required qualifications include a PhD or equivalent degree as well as postdoctoral qualifications and teaching experience equivalent to the requirements of a full professorship. The University of Tübingen is committed to equal opportunity, diversity and inclusion. Female scientists, in particular, are explicitly invited to apply, as are applicants from outside Germany. Applications from equally qualified candidates with disabilities will be given preference. General information on professorships, hiring processes, and the German academic system can be found here: https://uni-tuebingen.de/en/213700 <https://uni-tuebingen.de/en/213700> Applications including all required documents (curriculum vitae and outline of academic career, copies of certificates and degrees, publications list, list of teaching experience (and teaching evaluations, if available), overview of established and planned research focus) as well as a selection of relevant publications (monographs authored and five articles) should be submitted via the appointment portal of the University of Tübingen at https://berufungen.uni-tuebingen.de <https://berufungen.uni-tuebingen.de> by J*une 20, 2024.* Enquiries can be directed to the Dean of the Faculty of Humanities, Prof. Dr. Dietmar Till (berufungen(a)philosophie.uni-tuebingen.de)

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job opening at Tübingen University: Full professorship in General and Computational Linguistics
by Erhard Hinrichs 03 Jun '24

03 Jun '24

W3 (Full) Professor of General / Computational Linguistics (m/f/d) Faculty of Humanities, Institute of Linguistics Application deadline: 20.06.2024 The Faculty of Humanities at the University of Tübingen invites applications for a position at the Institute of Linguistics as a *W3 (Full) Professor of General / Computational Linguistics (m/f/d)* to commence as soon as possible. The future job holder must be excellently qualified in research in the field of general / computational linguistics, evidenced by relevant publications in leading journals and conference proceedings. Proven excellence in research using current computational linguistic methods is expected. Experience with linguistically informed data formats is desirable. Since the professorship plays a leading role in the partly international Bachelor and Master programs Computational Linguistics, General Linguistics and Cognitive Science, the future position holder needs to be able to represent the full bandwidth of Computational Linguistics including its interdisciplinary connections with General Linguistics and Cognitive Science. The successful candidate must be willing to acquire third-party funding and to participate in collaborative interdisciplinary third-party funded projects at the University. Required qualifications include a PhD or equivalent degree as well as postdoctoral qualifications and teaching experience equivalent to the requirements of a full professorship. The University of Tübingen is committed to equal opportunity, diversity and inclusion. Female scientists, in particular, are explicitly invited to apply, as are applicants from outside Germany. Applications from equally qualified candidates with disabilities will be given preference. General information on professorships, hiring processes, and the German academic system can be found here: https://uni-tuebingen.de/en/213700 <https://uni-tuebingen.de/en/213700> Applications including all required documents (curriculum vitae and outline of academic career, copies of certificates and degrees, publications list, list of teaching experience (and teaching evaluations, if available), overview of established and planned research focus) as well as a selection of relevant publications (monographs authored and five articles) should be submitted via the appointment portal of the University of Tübingen at https://berufungen.uni-tuebingen.de <https://berufungen.uni-tuebingen.de> by *June 20, 2024*. Enquiries can be directed to the Dean of the Faculty of Humanities, Prof. Dr. Dietmar Till (berufungen(a)philosophie.uni-tuebingen.de).

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Neurosymbolic NLP: Three PhD positions, one postdoc
by Alexander Koller 03 Jun '24

03 Jun '24

The Research Training Group 2853 “Neuroexplicit Models of Language, Vision, and Action” is looking for 3 PhD students - September 2024 1 Postdoc - September 2024 or later Neuroexplicit models combine neural and human-interpretable (“explicit”) models in order to overcome the limitations that each model class has separately. They include neurosymbolic models, which combine neural and symbolic models, but also e.g. combinations of neural and physics-based models. In the RTG, we will improve the state of the art in natural language processing (“Language”), computer vision (“Vision”), and planning and reinforcement learning (“Action”). We will also develop novel machine learning techniques for neuroexplicit models (“Foundations”). Our overarching aim is to contribute to a better understanding of the cross-cutting design principles of effective neuroexplicit models through interdisciplinary collaboration. The RTG is scheduled to grow to a total of 24 PhD students and one postdoc by 2025; the first six PhD students started in late 2023, and three more have accepted our offer to join us in September 2024. Through the inclusion of ~20 further PhD students and postdocs funded from other sources, it will be one of the largest research centers on neuroexplicit or neurosymbolic models in the world. The RTG brings together researchers at Saarland University, the Max Planck Institute for Informatics, the Max Planck Institute for Software Systems, the CISPA Helmholtz Center for Information Security, and the German Research Center for Artificial Intelligence (DFKI). All of these institutions are colocated on the same campus in Saarbrücken, Germany. The positions are funded as follows: - PhD students will be funded for up to four years at the TV-L E13 100% pay scale. You should have or be about to complete an MSc degree in computer science or a related field and have demonstrated expertise in one of the research areas of the RTG, e.g. through an excellent Master’s thesis or relevant publications. - The postdoc will initially be funded for three years, with the possibility of extension, at the TV-L E13 100% pay scale. As the RTG postdoc, you will pursue your own research agenda in the field of neuroexplicit models and work with the PhD students to identify and pursue opportunities for collaborative research. You should have or be about to complete a PhD in computer science or a related field and have demonstrated your expertise in one or more of the RTG’s research areas through publications in top venues. The RTG is part of the Saarland Informatics Campus, one of the leading centers for research in computer science, artificial intelligence, and natural language processing in Europe. The Saarland Informatics Campus brings together 900 researchers and 2500 students from 81 countries. The CISPA Helmholtz Center, located on the same campus, is home to an additional 350 researchers and on track to grow to 800 by 2026. Researchers at SIC and CISPA are part of the ELLIS network and have been awarded more than 35 ERC grants. Each PhD student in the RTG will be jointly supervised by two PhD advisors from the list of Principal Investigators below. Each student will freely define their own research topic; we encourage the choice of topics that cross the traditional boundaries of research fields. Students may be affiliated with Saarland University or with one of the participating institutes. Vera Demberg, Saarland University - Computational Linguistics Jörg Hoffmann, Saarland University - AI Planning Dietrich Klakow, Saarland University - Natural Language Processing Alexander Koller, Saarland University - Computational Linguistics Bernt Schiele, MPI for Informatics - Computer Vision, Machine Learning Philipp Slusallek, DFKI and Saarland University - Computer Graphics, Artificial Intelligence Christian Theobalt, MPI for Informatics - Visual Computing, Machine Learning Mariya Toneva, MPI for Software Systems - Computational Neuroscience, Machine Learning Isabel Valera, Saarland University - Machine Learning Jilles Vreeken, CISPA - Machine Learning, Causality Joachim Weickert, Saarland University - Mathematical Data Analysis Verena Wolf, DFKI and Saarland University - Modeling and Simulation, Reinforcement Learning Ellie Pavlick, Brown University and Google AI, will join us regularly as a Mercator Fellow. Please send your application by 21 June 2024 to apply(a)neuroexplicit.org. Include the reference number W2488 for the postdoc position and the reference number W2487 for the PhD positions. We aim to conduct job interviews in July. For more details on the position, including what materials to submit with your application, please see our website: https://www.neuroexplicit.org/jobs/

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CALL FOR PAPERS: ICNLSP 2024, 7th International Conference on Natural Language and Speech Processing
by Mourad Abbas 03 Jun '24

03 Jun '24

We are delighted to invite you to ICNLSP 2024 <https://www.icnlsp.org/2024welcome/>, the 7th edition of the International Conference on Natural Language and Speech Processing, which will be held at University of Trento from October 19th to 20th, 2024 (HYBRID). *Topics* - Signal processing, acoustic modeling. - Speech recognition (Architecture, search methods, lexical modeling, language modeling, language model adaptation, multimodal systems, applications in education and learning, zero-resource speech recognition, etc.). - Speech Analysis. - Paralinguistics in Speech and Language (Perception of paralinguistic phenomena, analysis of speaker states and traits, etc.). - Spoken Dialog Systems and Conversational Analysis - Speech Translation. - Speech synthesis. - Speaker verification and identification. - Language identification - Speech coding. - Speech enhancement - Speech intelligibility - Speech Perception - Speech Production - Brain studies on speech - Phonetics, phonology and prosody. - Speech and hearing disorders. - Paralinguistics of pathological speech and language. - Speech technology for disordered speech/hairing. - Cognition and natural language processing. - Machine translation. - Text categorization. - Summarization. - Sentiment analysis and opinion mining. - Computational Social Web. - Arabic dialects processing. - Under-resourced languages: tools and corpora. - Large language models. - Arabic OCR. - NLP tools for software requirements and engineering. - Knowledge fundamentals. - Knowledge management systems. - Information extraction. - Data mining and information retrieval. - Lexical semantics and knowledge representation. - Requirements engineering and NLP. - NLP for Arabic heritage documents. *Submission* Papers must be submitted via the link: https://cmt3.research.microsoft.com/ICNLSP2024/ <https://cmt3.research.microsoft.com/ICNLSP2024/> Each submitted paper will be reviewed by three program committee members.The reviewing process is double-blind. Authors can use the *ACL format*: *Latex <https://www.icnlsp.org/ACL%202023%20Proceedings%20Template.zip>*or Word. Authors have the choice to submit their papers as a full or short paper. Long papers consist of up to 8 pages of content + references. Short papers, up to 4 pages of content + references. *Important dates* *Submission deadline:* *30 June 2024 11:59 PM (GMT*) *Notification of acceptance:* 15 September 2024 *Camera-ready paper due:* 25 September 2024 *Conference dates:* 19, 20 October 2024 *Publication* *1- All accepted papers will be published in **ACL Anthology <https://aclanthology.org/>**.* *2- Selected papers will be published (after extension) in:* * 2-a-* A *SPECIAL ISSUE* <https://www.mdpi.com/journal/make/special_issues/POB4VNE0QP> of Machine Learning and Knowledge Extraction Journal <https://www.mdpi.com/journal/make> (MAKE), indexed in *Web of Science <https://mjl.clarivate.com/search-results>*, *Scopus* <https://www.scopus.com/sources.uri>, etc. *Special issue title*: <https://www.mdpi.com/journal/make/special_issues/POB4VNE0QP> <https://www.mdpi.com/journal/make/special_issues/POB4VNE0QP>*Knowledge Graphs and Large Language Models. <https://www.mdpi.com/journal/make/special_issues/POB4VNE0QP>* * 2-b-* Signals and Communication Technology (Springer), indexed in *Scopus* <https://www.scopus.com/> and *zbMATH* <https://zbmath.org/>.

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2024

2023

2022

Corpora June 2024