- Corpora - ELRA lists

9th Annual Law & Corpus Linguistics Conference
by Brett Hashimoto 08 Mar '24

08 Mar '24

Hi All, We are excited to announce that our 9th Annual Law & Corpus Linguistics Conference will be held on October 24-25, 2024, at the law school at Brigham Young University in Provo, Utah. Keynote addresses will be delivered by Edward Finegan, Professor Emeritus of Linguistics and Law at the University of Southern California, and Lawrence Solum, the William L. Matheson and Robert M. Morgenthau Distinguished Professor of Law at the University of Virginia. Proposals are invited for individual papers and panels. We are open to submissions on a broad range of topics, including but not limited to: - applications of corpus linguistics to constitutional, statutory, contract, patent, trademark, probate, administrative, and criminal law in any state or nation; - philosophical, normative, and pragmatic commentary on the use of corpus linguistics in the law; triangulation between corpus linguistics and other empirical methods in legal interpretation; - corpus-based analysis of legal discourse or topics; - best practices in corpus design and corpus linguistic methods in legal settings. The proposal deadline is May 15, 2024. Proposals should include an abstract of no more than 750 words and complete contact information for presenters. Please send proposals to byulawcorpus(a)law.byu.edu<mailto:byulawcorpus@law.byu.edu>. Best, The Law & Corpus Linguistics Conference Organizing Committee

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PhD position in NLP for Law
by Spanakis, Jerry (DACS) 08 Mar '24

08 Mar '24

At Maastricht Law & Tech lab we are looking for a PhD candidate to work on NLP in Law. We are explicitly looking for candidates that have proven experience working on NLP and Machine Learning. Deadline is March 21st. The full text of the position is here<https://vacancies.maastrichtuniversity.nl/job/Maastricht-PhD-candidate-posi…> and attached below. If you have questions, you can (also) reach out (informally) to me. —— Job Description The law affects us all, but technology is not equally available for everyone. In practice, technology often benefits the wealthy the most. In this project, you will seek to contribute to a better understanding of how NLP and/or LLMs can assist in making the law more accessible to those with no or limited legal expertise. You will use NLP to analyze legal data and possibly create synthetic data to create annotated datasets or fine-tune LLMs. The work builds on previous work, which includes (but is not limited to) https://aclanthology.org/2023.eacl-main.203/, https://aclanthology.org/2023.nllp-1.15/<https://aclanthology.org/2023.eacl-main.203/,%20https://aclanthology.org/20…>, and https://ebooks.iospress.nl/volumearticle/53654. Your work is expected to have a tangible real-world impact. The ability to find innovative technical solutions to legal challenges could become a key skill of your future career, be it as a researcher, entrepreneur, or engineer. You will undertake PhD research at the intersection of law and computer science under the supervision of professors of the Maastricht Law & Tech Lab. Your primary task is conducting the research for your PhD project. Your exact project will be determined in consultation with you and according to your interests and skills. As such, you will be expected to develop your own independent research agenda with the support of our experienced researchers in the Law & Tech Lab. A small proportion of the appointment may be devoted to teaching activities, which commonly amount to teaching activities in eight weeks per year. You will be allowed to collaborate with researchers from different disciplines, including machine learning, data science, and law. You will be part of an exciting, vibrant, and quickly growing community where researchers from different disciplines meet and form interdisciplinary teams that conduct academically and societally relevant research. You will be offered the opportunity to gain insights not only on applying computational techniques but also on law, regulation, and ethics. For this, you will be encouraged, coached, and allowed to attend courses, conferences, and workshops that will add social and legal knowledge to your skill set. PhD researchers participate in the Maastricht University Graduate School of Law. Requirements * MSc degree in Computer Science, AI, Machine Learning, or Data Science (or equivalent); * Proven experience with applying natural language processing. Affinity with law is a plus; * Interest in learning about other disciplines, law in particular; * Community-friendly team player; * Excellent oral and written English communication; * Knowledge of Dutch language is a plus; * Optional: geek-friendly. What we offer As PhD candidate at the Faculty of Law, you will be employed by the most international university in the Netherlands, located in the beautiful city of Maastricht. In addition, we offer you: * Good employment conditions. The position is graded in scale P according to UFO profile PhD, with corresponding salary based on experience ranging from €2770,00 in year 1 and €3539,00 gross per month in year 4 (based on a full-time employment of 38 hours per week). In addition to the monthly salary, an 8.0% holiday allowance and an 8.3% year-end bonus apply. * An employment contract for a period of 12 months with a scope of 1,0 FTE. Upon a positive evaluation, an extension of 3 years will follow. * At Maastricht University, the well-being of our employees is of utmost importance, we offer flexible working hours and the possibility to work partly from home if the nature of your position allows it. You will receive a monthly commuting and internet allowance for this. If you work full-time, you will be entitled to 29 vacation days and 4 additional public holidays per year, namely carnival Monday, carnival Tuesday, Good Friday, and Liberation Day. If you choose to accumulate compensation hours, an additional 12 days will be added. Furthermore, you can personalize your employment conditions through a collective labor agreement (CAO) choice model. * As Maastricht University, we offer various other excellent secondary employment conditions. These include a good pension scheme with the ABP and the opportunity for UM employees to participate in company fitness and make use of the extensive sports facilities that we also offer to our students. * Last but certainly not least, we provide the space and facilities for your personal and professional development. We facilitate this by offering a wide range of training programs and supporting various well-established initiatives such as 'acknowledge and appreciate'. The terms of employment at Maastricht University are largely set out in the collective labor agreement of Dutch Universities. In addition, local provisions specific to UM apply. For more information, click here<https://www.maastrichtuniversity.nl/working-um>. Maastricht University Why work at Maastricht University? At Maastricht University (UM), everything revolves around the future. The future of our students, as we work to equip them with a solid, broad-based foundation for the rest of their lives. And the future of society, as we seek solutions through our research to issues from all around the world. Our six faculties combined provide a comprehensive package of study programmes and research. In our teaching, we use the Problem-Based Learning (PBL) method. Students work in small groups, looking for solutions to problems themselves. By discussing issues and working together to draw conclusions, formulate answers and present them to their peers, students develop essential skills for their future careers. With over 22,300 students and more than 5,000 employees from all over the world, UM is home to a vibrant and inspiring international community. Are you drawn to an international setting focused on education, science and scholarship? Are you keen to contribute however your skills and qualities allow? Our door is open to you! As a young European university, we value your talent and look forward to creating the future together. Click here<http://www.maastrichtuniversity.nl/> for more information about UM. Faculty of Law The Faculty of Law at Maastricht University is a top-quality provider of challenging and rewarding Dutch and European legal education at bachelor’s, masters and PhD-level. A true pioneer in small-scale education and the teaching of legal skills for a broad range of future legal professionals.  The clear research focus on European and international aspects of law and technology. On the empirical dimension of law provides both students and staff with a stimulating work environment. The faculty values its open and inclusive community, which contributes to creating a productive and pleasant place for work and study.  The Faculty of Law offers a wide range of bachelor and master's programs. Would you like to learn more about our programs? Visit our website for more information on the courses, career perspectives, and admission requirements of our programs.  Curious? Are you interested in this exciting position but still have questions? Feel free to contact professor Gijs van Dijck via gijs.vandijck(a)maastrichtuniversity.nl<mailto:gijs.vandijck@maastrichtuniversity.nl> or via +31 43 388 1396 for more information. Applying? Or are you already convinced and ready to become our new PhD candidate? Apply now, no later than 21 March 2024, for this position. The interviews will be held in April. 2024. Applications should include: * a letter of motivation; * a curriculum vitae; * representative work (e.g. a master thesis). The vacancy is open for internal and external candidates. In case of equal qualifications, internal candidates will be prioritized. Maastricht University is committed to promoting and nurturing a diverse and inclusive community. We believe that diversity in our staff and student population contributes to the quality of research and education at UM, and strive to enable this through inclusive policies and innovative projects led by teams of staff and students. We encourage you to apply for this position.

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3-year postdoctoral position in NLP - University of Oslo, Norway
by Andrey Kutuzov 08 Mar '24

08 Mar '24

(Apologies for cross-posting) A postdoctoral position in NLP (large language models in particular) is available at the University of Oslo, Norway. This position is funded jointly by the Integreat research center (https://www.integreat.no/) and the DSTrain program (https://www.uio.no/dscience/english/dstrain/). We offer 3 year contracts. The deadline for the applications is April 14, 2024; the applicants should come up with a short project description and get in touch with the contact person beforehand to discuss this description. Please apply here: https://www.jobbnorge.no/en/available-jobs/job/255679/dstrain-msca-postdoct… The contact person is myself, and the project should roughly fall within the topic of "Separation of Linguistic and Factual Knowledge in Large Language Models". See the description below: During the training, modern large language models learn both the language structure and the knowledge about the world as one indivisible whole. Decoupling these two components is a challenging, but extremely promising field of research. Having more control over what is stored in the model weights should allow to optimize the model better. In particular, it might be possible not to learn world knowledge every time from scratch, when training a model for a particular language. The question is whether it is possible to develop an architecture where a neural network is limited to learning the linguistic structure, while the knowledge about the world is stored in and retrieved from an external knowledge graph. Will such a model focus on learning language-specific linguistic skills without spending its parameters on time-dependent and language-agnostic factual knowledge? Is it also true that such language models will be less prone to hallucinations and bias? The selected applicants will start their postdoctoral projects no later than October 1, 2024. The Postdoctoral Research Fellows will be employed at the Faculty of Mathematics and Natural Sciences. The appointments will be full-time positions lasting for three years, with 10% of the time dedicated to mandatory duties, typically teaching. It is not possible to be appointed for more than one Postdoctoral Research Fellowship at the University of Oslo. References: [1] Lewis, P., Perez, E., Piktus, A., Petroni, F., Karpukhin, V., Goyal, N., Küttler, H., Lewis, M., Yih, W.-t., Rocktäschel, T., et al. (2020). Retrieval-augmented generation for knowledge-intensive NLP tasks. In Advances in Neural Information Processing Systems, volume 33, pages 9459–9474. [2] Borgeaud, S., Mensch, A., Hoffmann, J., Cai, T., Rutherford, E., Millican, K., Van Den Driessche, G. B., Lespiau, J.-B., Damoc, B., Clark, A., et al. (2022). Improving language models by retrieving from trillions of tokens. In International conference on machine learning, pages 2206–2240. PMLR. [3] Pan, S., Luo, L., Wang, Y., Chen, C., Wang, J., and Wu, X. (2023). Unifying large language models and knowledge graphs: A roadmap. -- Andrey Language Technology Group (LTG) University of Oslo

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Asia Pacific Corpus Linguistics Conference -- CALL
by Michael Barlow 08 Mar '24

08 Mar '24

Dear list members, The Fifth Asia Pacific Corpus Linguistics Conference (APCLC2024) will be held at Shanghai Jiao Tong University, Shanghai, China from October 25 to 27, 2024. Plenary speakers Michael Barlow (University of Auckland, New Zealand) Vaclav Brezina (Lancaster University, UK) Dagmar Divjak (University of Birmingham, UK) Martin Hilpert (University of Neuchâtel, Switzerland) Wenzhong Li (Zhejiang Gongshang University, China) Naixing Wei (Beihang University, China) Co-hosts Asia Pacific Corpus Linguistics Association Corpus Linguistics Society of China The School of Foreign Languages, Shanghai Jiao Tong University Important dates March 31, 2024: Deadline for abstract submission. Submit here: https://app.oxfordabstracts.com/stages/31556/submitter<https://app.oxfordabstracts.com/stages/31556/submitter> April 30, 2024: Notification of acceptance of abstracts May 31, 2024: End of early bird registration (Details provided later) July 31, 2024: End of main registration October 25, 2024: Preconference workshops October 26-27, 2024: Main conference Please save the dates and visit our APCLC2024 official site (https://apclc2024.org<https://apclc2024.org>) for future updates. Best wishes, Jiajin On behalf of APCLA Jiajin XU, Ph.D., Professor National Research Centre for Foreign Language Education, Beijing Foreign Studies University, China --- Michael Barlow. www.michaelbarlow.com<http://www.michaelbarlow.com/> Assoc. Prof. Applied Linguistics, University of Auckland Recent publications M. Barlow. 2023. Writing with an AI Assistant.<https://writingwithanaiassistant.com/> Athelstan. M. Barlow 2023. Ten Lectures on Corpora and Cognitive Linguistics<https://brill.com/display/title/61682>. Brill Le, Pham & Barlow 2023. The Academic Discourse of Mechanical Engineering<https://benjamins.com/catalog/scl.107>. Benjamins

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3-year researcher position in NLP and event extraction at the University of Oslo
by Erik Velldal 07 Mar '24

07 Mar '24

[Apologies for cross-posting] A postdoc-level position as Research Fellow in Natural Language Processing is available in the Language Technology Group (LTG) at the University of Oslo (UiO), Norway. The 3-year position is affiliated with a new research project focusing on event extraction from news articles in the domain of armed conflicts. While the project is coordinated by the Peace Research Institute Oslo (PRIO), the researcher position is located within LTG which is the main project partner. For more information about the position and the research group, please see the full announcement here: https://www.jobbnorge.no/en/available-jobs/job/259513/researcher-in-natural… The closing date is April 10th, 2024. Please do not hesitate to contact me for any further information. Best regards, -erik -- Erik Velldal Language Technology Group Section for Machine Learning Department of Informatics, University of Oslo

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Postdoctoral Researcher - Language Technology- University of Galway-reg
by Bharathi Raja Asoka Chakravarthi 07 Mar '24

07 Mar '24

Postdoctoral Researcher - Language Technology, *Insight SFI Research Centre for Data Analytics**, Data Science Institute,* *Ref. No. University of Galway 060-24 * Applications are invited from suitable candidates for a full-time, fixed-term position as Postdoctoral Researcher with the Insight SFI Research Centre for Data Analytics at the Data Science Institute <https://www.universityofgalway.ie/dsi/work_with_us/> (DSI), College of Science and Engineering at the University of Galway. This position is funded by the Insight SFI Research Centre <https://www.universityofgalway.ie/dsi/sfi_research/> for Data Analytics and is available from 1st June 2024 to 30th December 2025 (18-months). Explore Life in Galway - University of Galway <https://www.universityofgalway.ie/student-life/galwaylife/> SFI Research - University of Galway <https://www.universityofgalway.ie/dsi/sfi_research/> Data Science Institute <https://www.universityofgalway.ie/dsi/work_with_us/> *Job Description:* This postdoctoral position is in the area of Insight Research Challenge 4 on “Multimodal Data Analysis” and will focus on the combination of natural language processing and multimodal machine learning. In addition, the project will focus on the use of these technologies to improve NLP for equality, diversity, inclusion, and under-resourced languages. There has been an elevation in hate speech or abuse, and this position will focus on the LGBTQIA+ community. Due to the shortage of resources in the said study area, more research is needed. The Postdoctoral position will focus on improving the research by creating more data and creating novel NLP models to identify homophobic or transphobic comments in social media. In the context of this funded position, we will also look at the area of cultural analytics, which will involve the development of methods for the analysis of multimodal data (e.g. textual data and image data) from different cultural perspectives. The tasks of the successful candidate include the organization of an annotation effort, in which various types of hate and culturally specific attributes are annotated in a crowdsourcing setting. Based on this novel resource, the candidate will develop new methods for the detection of hate speech against minorities and create language and multimodal technologies for equality, diversity, and inclusion. This will also continue to improve the development of novel methods that advance the state of the art in relation to equality, diversity, inclusion and other bias mitigation areas. The postdoctoral position will focus on research work, however, the candidate will also be expected to contribute to the activities of the institute, in particular, through writing grant applications, assist in supervising PhD and MSc students and in public engagement activities as appropriate. The successful candidate will be based at the Data Science Institute and will be part of the Insight SFI Research Centre for Data Analytics at the University of Galway. The candidate will be supported in their professional development, be able to avail of a range of career level focussed training opportunities and have the potential to publish research findings in leading journals and international events. *Duties:* · Research, design, and develop foundation models in the field of NLP and Multimodal Learning, based on the latest advancements. · Conduct a specified programme of research and scholarship under the supervision and direction of the Principal Investigator. · Establish principles and tools to support best practices for data and NLP models in collaboration with the European data and AI communities. · Plan, coordinate, and implement the described research project (this may include managing a small research team/coordinating other researcher activities). · Assist in the attraction of funding. · Keep up to date with research related methods and techniques, in particular, developments in the specific research area. · Collaborate with colleagues on areas of shared research interest. · Present on research progress and outcomes e.g. to bodies supervising research; conferences, steering groups; other team members, as agreed with the PI/project leader. · Produce top-quality journal and conference publications in collaboration with students and PI. · Mentor and assist, as appropriate and as directed, the research graduate students in the institute. · Engage in Education and Public Engagement (EPE) activities of the institute. · Any other duties assigned commensurate to this level of post *Qualifications/Skills required: * *Essential Requirements: * · PhD in Natural Language Processing, Computer Vision, Computer Science or Linguistics · Published at top conferences in the field or in high impact factor journals. · Excellent understanding of experimental design and scientific methodologies · Strong command of oral and written English · Good programming skills *Desirable Requirements: * · Strong knowledge of NLP / language technology for equality, diversity, and inclusion · Knowledge of debiasing techniques in NLP tasks · Knowledge of multimodal learning approaches · Programming experience with deep learning in Python · Experience in writing grant proposals *Salary*: Postdoctoral Researcher Point 1 €42,783 to Point 10 €54,965 per annum, pro rata for shorter and/or part-time contracts (public sector pay policy rules pertaining to new entrants will apply), depending on qualifications. The default position for all new public sector appointments is the 1st point of the salary scale. This may be reviewed, and consideration afforded to appointment at a higher point on the payscale (subject to the project’s funding limitations), where evidence of prior years’ equivalent experience is accepted in determining placement on the scale above point 1, subject to the maximum of the scale. Research Salary Scales - University of Galway). <https://www.universityofgalway.ie/human-resources/recruitment-and-selection…> *Start date*: Position is available from 1st June 2024. *Continuing Professional Development/Training*: Researchers at University of Galway are encouraged to avail of a range of training and development opportunities designed to support their personal career development plans. University of Galway provides continuing professional development supports for all researchers seeking to build their own career pathways either within or beyond academia. Researchers are encouraged to engage with our Researcher Development Centre (RDC) upon commencing employment - see HERE <http://www.nuigalway.ie/rdc> for further information. Further information on research and working at University of Galway is available on Research at University of Galway <http://www.nuigalway.ie/our-research/> For information on moving to Ireland please see www.euraxess.ie *Informal enquiries* concerning the post may be made to: Dr. Bharathi Raja Chakravarthi bharathi.raja(a)universityofgalway.ie *To Apply:* Applications to include a covering letter, CV, and the contact details of three referees should be sent, via e-mail (in word or PDF only) to Dr. Bharathi Raja Chakravarthi bharathi.raja(a)universityofgalway.ie Please put reference number *University of Galway 060-24 *in subject line of e-mail application. *Closing date for receipt of applications is 5.00 pm (Irish Time) 31st March, 2024* We reserve the right to re-advertise or extend the closing date for this post. University of Galway is an equal opportunities employer. All positions are recruited in line with Open, Transparent, Merit (OTM) and Competency based recruitment Dr. Bharathi Raja Chakravarthi, Assistant Professor / Lecturer-above-the-bar School of Computer Science, University of Galway, Ireland Insight SFI Research Centre for Data Analytics, Data Science Institute, University of Galway, Ireland E-mail: bharathiraja.akr(a)gmail.com , bharathi.raja(a)universityofgalway.ie <bharathiraja.asokachakravarthi(a)universityofgalway.ie> Google Scholar: https://scholar.google.com/citations?user=irCl028AAAAJ&hl=en Website: https://www.universityofgalway.ie/our-research/people/computer-science/bhar… <https://www.universityofgalway.ie/our-research/people/computer-science/bhar…>

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What is the License type for WMT dev/test sets?
by liling tan 07 Mar '24

07 Mar '24

Dear MT community, We have been using the WMT test sets for a decade but it'll be nice to get clarity on the license type and usability in the age of LLMs. Is there an institution or person that we can approach to get an answer for the license for WMT dev/test datasets? Thank you in advance for the tips! Regards, Liling

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UMR Parsing Workshop 2024 - Final Call
by kristine.stenzel＠colorado.edu 07 Mar '24

07 Mar '24

Final CALL for Papers UMR Parsing Workshop University of Colorado, Boulder June 14, 2024 https://umr4nlp.github.io/web/UMRParsingWorkshop.html Organizers: Nianwen Xue, James Martin, Jon Cai, Marie Claire, Jayeol Chun, Haibo Sun This workshop will focus on developing parsers for Uniform Meaning Representations. The goal is to start from raw text from real-world settings that could be in any one of many typologically different languages, even low-resource languages for which there is little or no training data. This can be achieved by exploiting a common semantic annotation standard. This workshop has been made possible by funding for NSF Collaborative Research: Building a Broad Infrastructure for Uniform Meaning Representations (Award # 2213805), which is aimed at developing guidelines and annotation for cross-lingual Uniform Meaning Representations, based on the original Abstract Meaning Representation guidelines for English, but ensuring cross-linguistically consistent annotation and recoverability of the original raw texts. This workshop will overlap with the last day of the Colorado UMR Annotation Summer School. https://umr4nlp.github.io/web/SummerSchool.html The workshop is open to everyone and will cover the fundamentals of UMR annotation and the differences between AMR and UMR. In addition to an invited speaker, there will be presentations on recent successful approaches to AMR parsing and how they can be applied to UMR parsing. We welcome submissions from anyone on related topics, such as: ● AMR or UMR parsing for any language ● AMR or UMR generation for any language ● Evaluation metrics for AMR or UMR parsing ● Bootstrapping of AMRs or UMRs from related semantic representations such as Propbanks ● Projections of English AMR onto other languages; ● Challenges of applying AMR annotation to languages other than English; ● Challenges of accurate multi-sentence coreference as a subtask of AMR parsing; ● Any other topic related to the parsing and generation of AMRs or UMRs. Important dates ● Workshop paper submissions due: March 30, 2024 ● Notification of acceptance: April 25, 2024 ● Camera-ready versions due: May 30, 2024 Submissions Submissions should report original and unpublished research on topics of interest to the workshop. Accepted papers are expected to be presented at the workshop and will be published in the workshop proceedings. They should emphasize obtained results rather than intended work and should clearly indicate the state of completion of the reported results. Submission is electronic, using the Workshop submission site in Easy Chair. https://easychair.org/my/conference?conf=umrpw2024 Submissions must adhere to the two-column format of ACL venues, using the Overleaf template taken from ACL 2023. https://www.overleaf.com/latex/templates/acl-2023-proceedings-template/qjdg… Initial submissions should be fully anonymous to ensure double-blind reviewing. Long papers must not exceed eight (8) pages of content; short papers must not exceed four (4) pages of content. References and appendices do not count against these limits. To ensure double-blind reviews, papers must not include the authors’ names and affiliations or self-references that reveal any author’s identity. Papers that do not conform to these requirements will be rejected without review.

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Deadline extension: VarDial 2024
by Yves Scherrer 07 Mar '24

07 Mar '24

VarDial 2024, the eleventh workshop on NLP for similar languages, varieties and dialects, will be held in conjunction with NAACL in Mexico City, on June 20/21, 2024. The paper submission deadline is extended to March 17, 2024 (AoE). We welcome papers dealing with one or more of the following topics: - Corpora, resources, and tools for similar languages, varieties and dialects; - Adaptation of tools (taggers, parsers) for similar languages, varieties and dialects; - Evaluation of language resources and tools when applied to language varieties; - Reusability of language resources in NLP applications (e.g., for machine translation, POS tagging, syntactic parsing, etc.); - Corpus-driven studies in dialectology and language variation; - Computational approaches to mutual intelligibility between dialects and similar languages; - Automatic identification of lexical variation; - Automatic classification of language varieties; - Text similarity and adaptation between language varieties; - Linguistic issues in the adaptation of language resources and tools (e.g., semantic discrepancies, lexical gaps, false friends); - Machine translation between closely related languages, language varieties and dialects. In addition to the topics listed above, we also welcome papers dealing with diachronic language variation (e.g. phylogenetic methods, historical dialects). Important dates: - Extended paper submission deadline: March 17 (AoE) - Commitment deadline for pre-reviewed papers: April 7 - Notification of acceptance: April 14 - Camera-ready papers due: April 24 - Workshop date: June 20/21 Details: https://sites.google.com/view/vardial-2024/call-for-papers

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PhD and postdoc positions on Natural Language Understanding at Pioneer Centre for AI
by Isabelle Augenstein 07 Mar '24

07 Mar '24

A PhD and two postdoc positions on natural language understanding are now available at the Pioneer Centre for AI<https://www.aicentre.dk/>. You can read more about the positions here<https://www.aicentre.dk/jobs>. PhD Fellowship on Factual Text Generation While recent large language models demonstrate surprising fluency and predictive capabilities in their generated text, they have been demonstrated to generate factual inaccuracies even when they have encoded truthful information. This limits their utility and safety in real world scenarios where guarantees of factuality are needed. To address this, the project will explore methods for improving the factuality of text generation with respect to both objective real-world facts and provided source documents. We are looking for candidates with a background in computer science, machine learning, natural language processing, computational social science, or similar. The candidate should have an interest in automatic text generation and fact checking. They should also have an interest in interdisciplinary research endeavors, including at the Pioneer Center for AI. Early research experience, especially with empirical research methods, or relevant industry experience, will be a bonus. The principal supervisor is Professor Isabelle Augenstein<mailto:augenstein@di.ku.dk> and the co-supervisor is Dustin Wright<mailto:dw@di.ku.dk>. Application deadline: 1 April 2024. Apply here<https://candidate.hr-manager.net/ApplicationInit.aspx/?cid=1307&departmentI…>. Postdoctoral Fellowship on NLP for Computational Social Science The Pioneer Centre for AI and Department of Computer Science at the University of Copenhagen invite applications for a 2-year postdoctoral full-time research position in the domain of Natural Language Processing. NLP is becoming an increasingly powerful tool for social scientists. Yet, the intersection between the two disciplines is still poorly explored, with research in the two disciplines often being conducted as separate streams. The goal of this project is to research methods which can more directly be useful for downstream social science applications. One such application is to analyse common narratives in news, which requires methods including (interpretable) topic modelling, framing detection, social media analysis, etc. The successful candidate will be affiliated with a larger initiative on narrative analysis, spanning different content modalities, with the autonomy to define their project in this larger context. The research will be conducted in collaboration with researchers at the Pioneer Centre for Artificial Intelligence’s Speech and Language Collaboratory, CopeNLU<https://www.copenlu.com/> and the Belongie Lab<https://www.belongielab.org/>. Inquiries about the position can be made to Professor Isabelle Augenstein<mailto:augenstein@di.ku.dk>. Application deadline: 7 April 2024. Apply here<https://jobportal.ku.dk/videnskabelige-stillinger/?show=161353>. Postdoctoral Fellowship on Multi-Modal Fact Checking The Pioneer Centre for AI and Department of Computer Science at the University of Copenhagen invite applications for a 2-year postdoctoral full-time research position in the domain of Natural Language Processing. Online content can include multiple different modalities, ranging from text to images or tables. Increasingly, detecting false information requires the understanding of a combination of these modalities and the relationship between them. This project will focus on developing general-purpose multi-modal methods for automatic fact checking in various domains, such as scientific publications, news or social media. Inquiries about the position can be made to Professor Isabelle Augenstein<mailto:augenstein@di.ku.dk> or Assistant Professor Desmond Elliot<mailto:de@di.ku.dk>. Application deadline: 7 April 2024. Apply here<https://jobportal.ku.dk/videnskabelige-stillinger/?show=161352>. Isabelle Augenstein, Dr. Scient., Ph.D. Professor and Head of the NLP Section, Department of Computer Science (DIKU) Co-Lead, Pioneer Centre for Artificial Intelligence University of Copenhagen Østervold Observatory Øster Voldgade 3 1350 Copenhagen augenstein(a)di.ku.dk<mailto:augenstein@di.ku.dk> http://isabelleaugenstein.github.io/

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