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Research Associate, Oldenburg, Germany
by Jörge Minula 19 Jul '23

19 Jul '23

Dear Members, I would like to bring to your attention the following research associate position in the Field of Psycholinguistics and hearing research at University of Oldenburg, Germany. For more information about the position and how to apply, please refer to the detailed description provided in the email below. Best regards, Jörge Minula --- The cluster of excellence Hearing4all: Models, Technology and Solutions for Diagnostics, Restoration and Support of Hearing at the Universität Oldenburg (in collaboration with Medizinische Hochschule Hannover and Leibniz Universität Hannover) is seeking to fill as soon as possible the position of a Research Associate (fulltime) in the Field of Psycholinguistics and hearing research (m/f/d) in the Department of Dutch, Faculty of Linguistics and Cultural Studies. The position is available from 1st of October 2023 (or as soon as possible after that) until 31st of December 2025. Salary is depending on previous experience and education (German TV-L E13 <https://lohntastik.de/od-rechner/tv-salary-calculator/TV-L/E-13/1>). The position is suitable for part-time work. A paramount goal of the cluster of excellence Hearing4all ( www.hearing4all.de) is to transform audiology into an "exact" science based on the interplay between experiment and theory as well as between basic science and clinical research. In the framework provided by the cluster the successful candidate is expected to contribute to the research goals of the cluster to research thread 1 "Auditory processing deficits throughout the lifespan", in which one of the goals is to identify the impact of hearing loss in young and old age on cognitive and language development and its decline. Specifically, the candidate is expected to do research on the interaction of hearing abilities and language processing/development. Candidates are expected to have PhD in the field of (psycho)- linguistics, psychology, or a related discipline (with a specialization in speech/language processing and/or language acquisition) and have shown their ability to perform excellent scientific work, usually demonstrated by the outstanding quality of their Doctorate/PhD research and a good publication record. Experience in hearing research is an advantage. We are seeking candidates with experience in statistical analysis as well as knowledge in at least one of the following methods/areas: language acquisition, online sentence processing, reaction time studies, eye tracking, ERP. Matlab skills, and/ or experience with E-prime will be helpful, as well as working knowledge of German. Since the positions entail close interdisciplinary cooperation with several other disciplines (audiology, psychology, physics), the willingness and ability to integrate methods, concepts and issues of the 'other' discipline into theories, concepts and methods current in one's own are required for successful work in this project. The University of Oldenburg is an equal opportunities employer. According to § 21 para. 3 of the legislation governing Higher Education in Lower Saxony (NHG), preference shall be given to female candidates in cases of equal qualification. The same applies to persons with disabilities. More information at: https://uol.de/stellen?stelle=69714

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Post-doc position on Multimodal Neural Web Page Segmentation, GREYC, France
by Mohammed Hasanuzzaman 19 Jul '23

19 Jul '23

Dear All, We have an exciting opportunity for highly motivated and talented researchers to apply for our Postdoctoral position at GREYC Research Centre (https://www.greyc.fr/en/home/), France. Since 2000, the GREYC has been a joint research unit associated with the French National Centre for Scientific Research (CNRS), the University of Caen Normandy (UNICAEN) and the Ecole Nationale Supérieure d’Ingénieurs de Caen (ENSICAEN). The GREYC lab realizes research works in the field of digital science with activities in image processing, machine learning, artificial intelligence, computer security, fundamental computer science, Web science, electronics. It has 7 research groups with faculty members from ENSICAEN, UNICAEN and CNRS, PhD students and administrative & technical members. The postdoctoral scholar will be working on Multimodal Neural Web Page Segmentation with a primary goal to detect the different zones of a web page. This interdisciplinary research project combines computer vision, natural language processing, and machine learning techniques to develop advanced algorithms capable of segmenting web pages into meaningful and semantically distinct regions. *Location: **GREYC Research Centre *(https://www.greyc.fr/en/home/)*, France* *Closing Date: **15 August*, *2023* *Benefits:* The successful candidate will receive a competitive salary and other benefits, as well as access to state-of-the-art research facilities and resources. The fellowship will be initially offered for 12-18 months, with the possibility of extension based on performance. *Eligibility Criteria:* Applicants interested in this position must meet the following criteria: - Hold a recent Ph.D. degree in Computer Science, Electrical Engineering, or a related field. - Demonstrate a strong research background in natural language processing or computer vision. - Possess a track record of publications in top-tier conferences/journals related to computer vision, NLP, or related areas. - Strong programming skills. - Excellent written and verbal communication and interpersonal skills. *Application Process:* Interested candidates can send an application with the following documents directly Prof. Gael Dias, email: gael.dias(a)unicaen.fr and Dr. Mohammed Hasanuzzaman, email: mohammed.hasanuzzaman(a)mtu.ie - Updated Curriculum Vitae (CV) with a list of publications. - A cover letter outlining research interests, relevant background, and motivation for applying. - Contact information for three academic referees who can provide recommendation letters. ------------------------------------------------------------------------------------------------------ *Dr. Mohammed Hasanuzzaman, Lecturer, Munster Technological University <https://www.mtu.ie/> * *Funded Investigator, ADAPT Centre- <https://www.adaptcentre.ie/> A <https://www.adaptcentre.ie/>* World-Leading SFI Research Centre <https://www.adaptcentre.ie/> *Member, Lero, the SFI Research Centre for Software <https://lero.ie/>**C**hercheur Associé*, GREYC UMR CNRS 6072 Research Centre, France <https://www.greyc.fr/en/home/> *Associate Editor:** IEEE Transactions on Affective Computing, Nature Scientific Reports, IEEE Transactions on Computational Social Systems, ACM TALLIP, PLOS One, Computer Speech and Language* Dept. of CS Munster Technological University Bishopstown campus Cork e: mohammed.hasanuzzaman(a)adaptcentre.ie <email(a)adaptcentre.ie>/ Ireland https://mohammedhasanuzzaman.github.io/ [image: Mailtrack] <https://mailtrack.io?utm_source=gmail&utm_medium=signature&utm_campaign=sig…> Sender notified by Mailtrack <https://mailtrack.io?utm_source=gmail&utm_medium=signature&utm_campaign=sig…> 19/07/23, 12:52:06

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Call for papers: The 4th Workshop on Evaluation and Comparison of NLP Systems (Eval4NLP 2023)
by opitz.sci＠gmail.com 19 Jul '23

19 Jul '23

Dear Colleagues, the 4th Workshop on Evaluation and Comparison for NLP systems (Eval4NLP), co-located at the 2023 Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL 2023), invites the submission of long and short papers, with a theoretical or experimental nature, describing recent advances in system evaluation and comparison in NLP. ** Important Dates ** All deadlines are 11.59 pm UTC -12h (“Anywhere on Earth”). - Direct submission to Eval4NLP deadline: August 25 - Submission of pre-reviewed papers to Eval4NLP (see below for details) : September 25 - Notification of acceptance: October 2 - Camera-ready papers due: October 15 - Workshop day: November 1 Please see the Call for Papers for more details [1]. ** Shared Task ** This year’s version will come with a shared task on explainable evaluation of generated language (MT and summarization) with a focus on LLM prompts. Please find more information on the shared task page: [2]. ** Topics ** Designing evaluation metrics: Proposing and/or analyzing metrics with desirable properties, e.g., high correlations with human judgments, strong in distinguishing high-quality outputs from mediocre and low-quality outputs, robust across lengths of input and output sequences, efficient to run, etc.; Reference-free evaluation metrics, which only require source text(s) and system predictions; Cross-domain metrics, which can reliably and robustly measure the quality of system outputs from heterogeneous modalities (e.g., image and speech), different genres (e.g., newspapers, Wikipedia articles and scientific papers) and different languages; Cost-effective methods for eliciting high-quality manual annotations; and Methods and metrics for evaluating interpretability and explanations of NLP models Creating adequate evaluation data: Proposing new datasets or analyzing existing ones by studying their coverage and diversity, e.g., size of the corpus, covered phenomena, representativeness of samples, distribution of sample types, variability among data sources, eras, and genres; and Quality of annotations, e.g., consistency of annotations, inter-rater agreement, and bias check Reporting correct results: Ensuring and reporting statistics for the trustworthiness of results, e.g., via appropriate significance tests, and reporting of score distributions rather than single-point estimates, to avoid chance findings; reproducibility of experiments, e.g., quantifying the reproducibility of papers and issuing reproducibility guidelines; and Comprehensive and unbiased error analyses and case studies, avoiding cherry-picking and sampling bias. ** Submission Guidelines ** The workshop welcomes two types of submission -- long and short papers. Long papers may consist of up to 8 pages of content, plus unlimited pages of references. Short papers may consist of up to 4 pages of content, plus unlimited pages of references. Please follow the ACL ARR formatting requirements, using the official templates [3]. Final versions of both submission types will be given one additional page of content for addressing reviewers’ comments. The accepted papers will appear in the workshop proceedings. The review process is double-blind. Therefore, no author information should be included in the papers and the (optional) supplementary materials. Self-references that reveal the author's identity must be avoided. Papers that do not conform to these requirements will be rejected without review. ** The submission sites on Openreview ** Standard submissions: [4] Pre-reviewed submissions: [5] See below for more information on the two submission modes. ** Two submission modes: standard and pre-reviewed ** Eval4NLP features two modes of submissions. Standard submissions: We invite the submission of papers that will receive up to three double-blind reviews from the Eval4NLP committee, and a final verdict from the workshop chairs. Pre-reviewed: To a later deadline, we invite unpublished papers that have already been reviewed, either through ACL ARR, or recent AACL/EACL/ACL/EMNLP/COLING venues (these papers will not receive new reviews but will be judged together with their reviews via a meta-review; authors are invited to attach a note with comments on the reviews and describe possible revisions). Final verdicts will be either accept, reject, or conditional accept, i.e., the paper is only accepted provided that specific (meta-)reviewer requirements have been met. Please also note the multiple submission policy. ** Optional Supplementary Materials ** Authors are allowed to submit (optional) supplementary materials (e.g., appendices, software, and data) to improve the reproducibility of results and/or to provide additional information that does not fit in the paper. All of the supplementary materials must be zipped into one single file (.tgz or .zip) and submitted via Openreview together with the paper. However, because supplementary materials are completely optional, reviewers may or may not review or even download them. So, the submitted paper should be fully self-contained. ** Preprints ** Papers uploaded to preprint servers (e.g., ArXiv) can be submitted to the workshop. There is no deadline concerning when the papers were made publicly available. However, the version submitted to Eval4NLP must be anonymized, and we ask the authors not to update the preprints or advertise them on social media while they are under review at Eval4NLP. ** Multiple Submission Policy ** Eval4NLP allows authors to submit a paper that is under review in another venue (journal, conference, or workshop) or to be submitted elsewhere during the Eval4NLP review period. However, the authors need to withdraw the paper from all other venues if they get accepted and want to publish in Eval4NLP. Note that AACL and ARR do not allow double submissions. Hence, papers submitted both to the main conference and AACL workshops (including Eval4NLP) will violate the multiple submission policy of the main conference. If authors would like to submit a paper under review by AACL to the Eval4NLP workshop, they need to withdraw their paper from AACL and submit it to our workshop before the workshop submission deadline. ** Best Paper Awards ** We will optionally award prizes to the best paper submissions (subject to availability; more details to come soon). Both long and short submissions will be eligible for prizes. ** Presenting Published Papers ** If you want to present a paper which has been published recently elsewhere (such as other top-tier AI conferences) at our workshop, you may send the details of your paper (Paper title, authors, publication venue, abstract, and a link to download the paper) directly to eval4nlp(a)gmail.com. We will select a few high-quality and relevant papers to present at Eval4NLP. This allows such papers to gain more visibility from the workshop audience and increases the variety of the workshop program. Note that the chosen papers are considered as non-archival here and will not be included in the workshop proceedings. ------------------------------------------------- Best wishes, Eval4NLP organizers Website: https://eval4nlp.github.io/2023/index.html Email: eval4nlp(a)gmail.com [1] https://eval4nlp.github.io/2023/index.html [2] https://eval4nlp.github.io/2023/shared-task.html [3] https://github.com/acl-org/acl-style-files [4] https://openreview.net/group?id=aclweb.org/AACL-IJCNLP/2023/Workshop/Eval4N… [5] https://openreview.net/group?id=aclweb.org/AACL-IJCNLP/2023/Workshop/Eval4N…

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[Job] Senior Research Scientist opportunity at ASUS AICS (Singapore/Taipei)
by Stefan Winkler(Stefan Winkler) 19 Jul '23

19 Jul '23

AICS (https://aics.asus.com/ ) is a young ASUS division incubating applied software and AI services to create a new generation of smart medical solutions. The team is building and deploying deep technologies in Data Analytics, Speech Recognition, Natural Language Understanding, and Computer Vision to help accelerate the transformation towards an AI-powered future in healthcare. The role of our AI Researchers is to work on ambitious long-term research goals, while laying out intermediate milestones to solve large-scale, real-world problems. As a senior member of the team, you will also help define research directions and guide junior researchers. Specific research topics of interest include (but are not limited to) generative models, knowledge discovery, domain generalization, long-tailed learning, and self-supervised approaches. We are currently recruiting at the senior level, either at our Singapore or Taipei offices. Job Responsibilities: * Drive AI/ML research from concepts to concrete output * Invent and implement innovative ML algorithms and tools * Publish and present your work in the top ML/NLP venues * Guide junior research team members and PhD students * Work with the product and engineering team to transform research prototypes into production * Forge research collaborations with university partners and clinicians Requirements: * Ph.D. degree in computer science or related discipline * At least 5+ years experience post-PhD, preferably in industry * Strong track record of publications at top peer-reviewed conferences and journals * Active in the research community and recognized by peers (e.g. conference committee membership, highly cited papers, awards) * Expertise in state-of-the-art machine learning methods, especially in the domains of natural language processing * Hands-on experience with deep learning frameworks such as PyTorch * Familiarity with MLOps and deploying models in production will be beneficial You may apply via https://aics.asus.com/career-en/ai-researcher/ or email me your CV directly. We look forward to hearing from you! Best regards, Stefan Winkler -- Director of R&D Asus AICS Singapore https://aics.asus.com/ =================================================================================================================================== This email and any attachments to it contain confidential information and are intended solely for the use of the individual to whom it is addressed. If you are not the intended recipient or receive it accidentally, please immediately notify the sender by e-mail and delete the message and any attachments from your computer system, and destroy all hard copies. Please be advised that any unauthorized disclosure, copying, distribution or any action taken or omitted in reliance on this, is illegal and prohibited. Any views or opinions expressed are solely those of the author and do not represent those of ASUSTeK. For pricing information, ASUS is only entitled to set a recommendation resale price. All customers are free to set their own price as they wish. ===================================================================================================================================

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[CFP] 3rd Workshop for NLP Open Source Software at EMNLP 2023
by liling tan 18 Jul '23

18 Jul '23

(apologies for cross-posting) *-----Workshop for NLP Open Source Software (NLP-OSS)* 06 Dec 2023, Co-located with EMNLP 2023 https://nlposs.github.io/ Deadline for Long and Short Paper submission: 09 August, 2023 (23:59, GMT-11) ----- You have tried to use the latest, bestest, fastest LLM models and bore grievances but found the solution after hours of coffee and computer staring. Share that at NLP-OSS and suggest how open source could change for the better (e.g. best practices, documentation, API design etc.) You came across an awesome SOTA system on NLP task X that no LLM has beaten its F1 score. But now the code is stale and it takes a dinosaur to understand the code. Share your experience at NLP-OSS and propose how to "replicate" these forgotten systems. You see this shiny GPT from a blog post, tried it to reproduce similar results on a different task and it just doesn't work on your dataset. You did some magic to the code and now it works. Show us how you did it! Though they're small tweaks, well-motivated and empirically tested are valid submissions to NLP-OSS. You have tried 101 NLP tools and there's none that really do what you want. So you wrote your own shiny new package and made it open source. Tell us why your package is better than the existing tools. How did you design the code? Is it going to be a one-time thing? Or would you like to see thousands of people using it? You have heard enough of open-source LLM and pseudo-open-source GPT but not enough about how it can be used for your use-case or your commercial product at scale. So you contacted your legal department and they explained to you about how data, model and code licenses work. Sharing the knowledge with the NLP-OSS community. You have a position/opinion to share about free vs open vs closed source LLMs and have valid arguments, references or survey/data to support your position. We would like to hear more about it. At last, you've found the avenue to air these issues in an academic platform at the NLP-OSS workshop!!! Sharing your experiences, suggestions and analysis from/of NLP-OSS ---- P/S: 2nd Call for Paper *Workshop for NLP Open Source Software (NLP-OSS)* 06 Dec 2023, Co-located with EMNLP 2023 https://nlposs.github.io/ Deadline for Long and Short Paper submission: 09 August, 2023 (23:59, GMT-11) ------------------------------ The Third Workshop for NLP Open Source Software (NLP-OSS) will be co-located with EMNLP 2023 on 06 Dec 2023. Focusing more on the social and engineering aspect of NLP software and less on scientific novelty or state-of-art models, the Workshop for NLP-OSS is an academic forum to advance open source developments for NLP research, teaching and application. NLP-OSS also provides an academic workshop to announce new software/features, promote the collaborative culture and best practices that go beyond the conferences. We invite full papers (8 pages) or short papers (4 pages) on topics related to NLP-OSS broadly categorized into (i) software development, (ii) scientific contribution and (iii) NLP-OSS case studies. - *Software Development* - Designing and developing NLP-OSS - Licensing issues in NLP-OSS - Backwards compatibility and stale code in NLP-OSS - Growing, maintaining and motivating an NLP-OSS community - Best practices for NLP-OSS documentation and testing - Contribution to NLP-OSS without coding - Incentivizing OSS contributions in NLP - Commercialization and Intellectual Property of NLP-OSS - Defining and managing NLP-OSS project scope - Issues in API design for NLP - NLP-OSS software interoperability - Analysis of the NLP-OSS community - *Scientific Contribution* - Surveying OSS for specific NLP task(s) - Demonstration, introductions and/or tutorial of NLP-OSS - Small but useful NLP-OSS - NLP components in ML OSS - Citations and references for NLP-OSS - OSS and experiment replicability - Gaps between existing NLP-OSS - Task-generic vs task-specific software - *Case studies* - Case studies of how a specific bug is fixed or feature is added - Writing wrappers for other NLP-OSS - Writing open-source APIs for open data - Teaching NLP with OSS - NLP-OSS in the industry Submission should be formatted according to the EMNLP 2023 templates <https://2023.emnlp.org/call-for-papers> and submitted to OpenReview <https://openreview.net/group?id=EMNLP/2023/Workshop/NLP-OSS> ORGANIZERS Geeticka Chauhan, Massachusetts Institute of Technology Dmitrijs Milajevs, Grayscale AI Elijah Rippeth, University of Maryland Jeremy Gwinnup, Air Force Research Laboratory Liling Tan, Amazon

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Call for papers: The 4th Workshop on Evaluation and Comparison of NLP Systems (Eval4NLP 2023)
by Juri Alexander Opitz 18 Jul '23

18 Jul '23

Dear Colleagues, the 4th Workshop on Evaluation and Comparison for NLP systems (Eval4NLP), co-located at the 2023 Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL 2023), invites the submission of long and short papers, with a theoretical or experimental nature, describing recent advances in system evaluation and comparison in NLP. ** Important Dates ** All deadlines are 11.59 pm UTC -12h (“Anywhere on Earth”). - Direct submission to Eval4NLP deadline: August 25 - Submission of pre-reviewed papers to Eval4NLP (see below for details) : September 25 - Notification of acceptance: October 2 - Camera-ready papers due: October 15 - Workshop day: November 1 Please see the Call for Papers for more details [1]. ** Shared Task ** This year’s version will come with a shared task on explainable evaluation of generated language (MT and summarization) with a focus on LLM prompts. Please find more information on the shared task page: [2]. ** Topics ** Designing evaluation metrics: Proposing and/or analyzing metrics with desirable properties, e.g., high correlations with human judgments, strong in distinguishing high-quality outputs from mediocre and low-quality outputs, robust across lengths of input and output sequences, efficient to run, etc.; Reference-free evaluation metrics, which only require source text(s) and system predictions; Cross-domain metrics, which can reliably and robustly measure the quality of system outputs from heterogeneous modalities (e.g., image and speech), different genres (e.g., newspapers, Wikipedia articles and scientific papers) and different languages; Cost-effective methods for eliciting high-quality manual annotations; and Methods and metrics for evaluating interpretability and explanations of NLP models Creating adequate evaluation data: Proposing new datasets or analyzing existing ones by studying their coverage and diversity, e.g., size of the corpus, covered phenomena, representativeness of samples, distribution of sample types, variability among data sources, eras, and genres; and Quality of annotations, e.g., consistency of annotations, inter-rater agreement, and bias check Reporting correct results: Ensuring and reporting statistics for the trustworthiness of results, e.g., via appropriate significance tests, and reporting of score distributions rather than single-point estimates, to avoid chance findings; reproducibility of experiments, e.g., quantifying the reproducibility of papers and issuing reproducibility guidelines; and Comprehensive and unbiased error analyses and case studies, avoiding cherry-picking and sampling bias. ** Submission Guidelines ** The workshop welcomes two types of submission -- long and short papers. Long papers may consist of up to 8 pages of content, plus unlimited pages of references. Short papers may consist of up to 4 pages of content, plus unlimited pages of references. Please follow the ACL ARR formatting requirements, using the official templates [3]. Final versions of both submission types will be given one additional page of content for addressing reviewers’ comments. The accepted papers will appear in the workshop proceedings. The review process is double-blind. Therefore, no author information should be included in the papers and the (optional) supplementary materials. Self-references that reveal the author's identity must be avoided. Papers that do not conform to these requirements will be rejected without review. ** The submission sites on Openreview ** Standard submissions: [4] Pre-reviewed submissions: [5] See below for more information on the two submission modes. ** Two submission modes: standard and pre-reviewed ** Eval4NLP features two modes of submissions. Standard submissions: We invite the submission of papers that will receive up to three double-blind reviews from the Eval4NLP committee, and a final verdict from the workshop chairs. Pre-reviewed: To a later deadline, we invite unpublished papers that have already been reviewed, either through ACL ARR, or recent AACL/EACL/ACL/EMNLP/COLING venues (these papers will not receive new reviews but will be judged together with their reviews via a meta-review; authors are invited to attach a note with comments on the reviews and describe possible revisions). Final verdicts will be either accept, reject, or conditional accept, i.e., the paper is only accepted provided that specific (meta-)reviewer requirements have been met. Please also note the multiple submission policy. ** Optional Supplementary Materials ** Authors are allowed to submit (optional) supplementary materials (e.g., appendices, software, and data) to improve the reproducibility of results and/or to provide additional information that does not fit in the paper. All of the supplementary materials must be zipped into one single file (.tgz or .zip) and submitted via Openreview together with the paper. However, because supplementary materials are completely optional, reviewers may or may not review or even download them. So, the submitted paper should be fully self-contained. ** Preprints ** Papers uploaded to preprint servers (e.g., ArXiv) can be submitted to the workshop. There is no deadline concerning when the papers were made publicly available. However, the version submitted to Eval4NLP must be anonymized, and we ask the authors not to update the preprints or advertise them on social media while they are under review at Eval4NLP. ** Multiple Submission Policy ** Eval4NLP allows authors to submit a paper that is under review in another venue (journal, conference, or workshop) or to be submitted elsewhere during the Eval4NLP review period. However, the authors need to withdraw the paper from all other venues if they get accepted and want to publish in Eval4NLP. Note that AACL and ARR do not allow double submissions. Hence, papers submitted both to the main conference and AACL workshops (including Eval4NLP) will violate the multiple submission policy of the main conference. If authors would like to submit a paper under review by AACL to the Eval4NLP workshop, they need to withdraw their paper from AACL and submit it to our workshop before the workshop submission deadline. ** Best Paper Awards ** We will optionally award prizes to the best paper submissions (subject to availability; more details to come soon). Both long and short submissions will be eligible for prizes. ** Presenting Published Papers ** If you want to present a paper which has been published recently elsewhere (such as other top-tier AI conferences) at our workshop, you may send the details of your paper (Paper title, authors, publication venue, abstract, and a link to download the paper) directly to eval4nlp(a)gmail.com. We will select a few high-quality and relevant papers to present at Eval4NLP. This allows such papers to gain more visibility from the workshop audience and increases the variety of the workshop program. Note that the chosen papers are considered as non-archival here and will not be included in the workshop proceedings. ------------------------------------------------- Best wishes, Eval4NLP organizers Website: https://eval4nlp.github.io/2023/index.html Email: eval4nlp(a)gmail.com [1] https://eval4nlp.github.io/2023/index.html [2] https://eval4nlp.github.io/2023/shared-task.html [3] https://github.com/acl-org/acl-style-files [4] https://openreview.net/group?id=aclweb.org/AACL-IJCNLP/2023/Workshop/Eval4N… [5] https://openreview.net/group?id=aclweb.org/AACL-IJCNLP/2023/Workshop/Eval4N…

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SMASH: 2-year postdoctoral fellowships available
by Matthew Purver 18 Jul '23

18 Jul '23

A number of 2-year fellowships are available for postdoc researchers. Define your own research programme & move to beautiful Slovenia! Please note that possible research areas include NLP topics, possible hosts include the NLP groups at U Ljubljana and JSI, and that associated placement partners include our NLP lab at Queen Mary University of London. See below for more detail: Dear colleagues, The second call for applications for SMASH postdoctoral Fellowships, co-funded by Marie Sklodowska Curie Actions, is now open! SMASH offers excellent research opportunities that revolve around machine learning and its applications to the fields of climate research, linguistics, precision medicine and fundamental physics. In this call, SMASH aims to hire 20 fellows who will be hosted in five Slovenian institutions. They can also spend up to 1/3 of their 2-years appointments at one of our international academic partners (including top EU centres like Gravitation and Astroparticle Physics at the University of Amsterdam, and world-leading institutions like CERN and UC Berkeley) or at some of the most successful Slovenian companies. Each 2-year fellowship offers excellent working conditions, access to top infrastructure (including the HPC Vega), substantial research and travel funds and a salary that is significantly higher than local costs of living. The SMASH program values an inclusive culture and believes diversity is the key to success, so SMASH warmly welcomes applicants from underrepresented groups. Note also that SMASH offers a dedicated allowance to support applicants with special needs. In order to apply, fellows need to contact their desired supervisor who will assist them in preparing short research proposals and provide them with the necessary letters of support from the host institutions. For more information see: https://smash.ung.si/become-a-fellow/. The application deadline is October 27th. -- Matthew Purver - http://www.eecs.qmul.ac.uk/~mpurver/ Computational Linguistics Lab - http://compling.eecs.qmul.ac.uk/ Cognitive Science Research Group - http://cogsci.eecs.qmul.ac.uk/ School of Electronic Engineering and Computer Science Queen Mary University of London, London E1 4NS, UK *My working days for QMUL are Monday-Wednesday; responses to mail on other days may be delayed.*

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SPELLL 2023- Call for papers-reg
by Bharathi Raja Asoka Chakravarthi 18 Jul '23

18 Jul '23

Apologies for cross posting , We are delighted to announce the Call for Papers for the upcoming Second International Conference on Speech & Language Technology for Low-resource Languages (SPELLL 2023), scheduled to be held on 06-08 December 2023 at Kongu Engineering College, Erode, Tamil Nadu, India. The previous edition, SPELLL 2022 was held at Sri Sivasubramaniya Nadar College of Engineering, Chennai, India during 23-25 November, 2022. The proceedings of the first edition have been published in the Springer series: Communications in Computer and Information Science (CCIS). This proceedings can be accessed via https://link.springer.com/book/10.1007/978-3-031-33231-9. We would like to invite you to submit your research work and contribute to the success of the second edition, SPELLL 2023 <http://spelll.org/callforpapers.html>. SPELLL 2023 aims to bring together researchers, experts, and practitioners from diverse fields to foster intellectual discussions, exchange knowledge, and explore innovative solutions to the challenges of NLP. This interdisciplinary conference will provide a platform for participants to present their latest research findings, engage in vibrant discussions, and build valuable collaborations. Conference Link: http://spelll.org/ <http://spelll.org/committee.html>CALL FOR PAPERS This conference aims at bringing together researchers from across the world working on low-resourced and minority languages to create more speech and language technology for languages of the world. We invite submissions on topics that include, but are not limited to, the following: Track 1 - Language Resources (LRs) - Lexicons and machine-readable dictionaries - Linguistic Theories, Phonology, Morphological analysis, Syntax and Semantics - Corpus development, tools, analysis and evaluation - Issues in the design, construction and use of LRs: text, speech, sign, gesture, image, in single or multimodal/multimedia data - Exploitation of LRs in systems and applications - Annotation, analysis, enrichment of text archives Track 2 - Language Technologies (LT) - Code-mixing - Cognitive modeling and psycholinguistics - Computer-assisted language learning (call) - Covid-19 alert, NLP applications for emergency situations and crisis management - Equality, diversity, and inclusion for language technology - Fake news, spam, and rumour detection - Hate speech detection and offensive language detection - Machine translation, sentiment analysis, and text summarization - Text and data mining for social sciences and humanities research - Text and data mining of (bio) medical literature, including pandemics - Knowledge representation and reasoning - Knowledge graphs for corpora processing and analysis - Applications for language, data and knowledge - Question answering and semantic search - Text analytics on big data - Semantic content management - Computer-aided language learning - Natural language interfaces to big data - Knowledge-based NLP Track 3 - Speech Technologies (ST) - Speech technology and automatic speech recognition - Spoken dialog systems and analysis of conversation - Spoken language processing — translation, information retrieval, summarization resources and evaluation - Speaker verification and identification - Multimodal/multimedia speaker recognition and diarization - Analysis of speech and audio signals - Speech coding and enhancement - Speech recognition - architecture, search, and linguistic components - Speech, voice, and hearing disorders - Speech synthesis and spoken language generation - Cross-lingual and multilingual components for speech recognition / code switching Track 4 - Other related topics - Analysis of para-linguistics in speech and language - Multimodal analysis - Visualisation of social sciences and humanities research ------------------------------ SUBMISSION GUIDELINES Regular Papers Regular submissions must describe substantial, original, completed and unpublished work. Wherever appropriate, concrete evaluation and analysis should be included. Regular papers may consist of 12 - 15 pages of content including references. However, page restrictions will not be followed strictly, if the authors wish to have more explanation of their work. Short Papers SPELLL 2023 also solicits short papers. Short paper submissions must describe original and unpublished work. Short papers should have a point that can be made in a few pages. Some kinds of short papers are: - A small, focused contribution - Work in progress - Experience notes Short papers may consist of 6 - 8 pages including references. Short papers will be presented in one or more oral or poster sessions. While short papers will be distinguished from regular papers in the proceedings, there will be no distinction in the proceedings between short papers presented orally and as posters. However, page restrictions will not be followed strictly, if the authors wish to have more explanation of their work. Review Policy All submissions to SPELLL 2023 will be reviewed on the basis of originality, relevance, importance and clarity by at least two reviewers. The review process will be double blind and the authors should refer to themselves in third person when citing their own work. Phrases like "In our earlier work..." or "We previosuly showed that..." should be avoided when submitting the paper for review. *Author Guidelines* - Authors must follow the Springer LNCS formatting instructions. - For camera-ready papers use Latex or Word style <http://preview.springer.com/gp/computer-science/lncs/conference-proceedings…> provided on the authors' page for the preparation of papers. - The LaTeX Proceedings Template for scientific authoring platform in Overleaf. <https://www.overleaf.com/latex/templates/springer-lecture-notes-in-computer…> - Each paper will receive at least three reviews. At least one author of each accepted paper must register by the early registration date indicated on the conference website and present the paper. ------------------------------ Important Dates Paper Submission Due: Aug 4, 2023 Acceptance Notification: *September 20, 2023.* Camera Ready Submission: *October 15, 2023.* Conference: *December 06-08, 2023.* PUBLICATION Accepted papers that are presented at the conference will be published in the Springer series: Communications in Computer and Information Science (CCIS). with regards, 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/bharathirajaasokachak…

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Postdoc at the University of Pennsylvania
by Lyle ungar 17 Jul '23

17 Jul '23

We are seeking a postdoctoral researcher to contribute to an interdisciplinary project focused on enhancing the reasoning and analytical rigor in reports analyzing complex geopolitical situations. This work is part of IARPA's REASON <https://www.iarpa.gov/research-programs/reason> initiative, under which we've united an extensive international team of computer scientists and subject matter specialists. Our goal is to develop and evaluate systems that aid intelligence analysts, and researchers more broadly, in crafting superior analyses of complex scenarios. Our goal is to improve the quality of arguments. Are they sound and persuasive? Does the report draw on appropriate evidence? Are there overlooked elements that warrant inclusion? Have potential counterarguments been adequately tackled? This work will involve building higher-level reasoning structures that then call large language models as functions to do the detailed analyses. apply here <https://docs.google.com/forms/d/e/1FAIpQLSfSl0x3IkKqg49HdZQoC6fCaCxOTQ-Gihr…> Joint work Chris Calison-Burch, Mark Yatskar, Lyle Ungar and a large team. -- Prof. Lyle H. Ungar The University of Pennsylvania <http://wwwp.org/> https://www.cis.upenn.edu/~ungar <http://www.cis.upenn.edu/~ungar> https://www.wwbp.org

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July 2023 Newsletter - LDC
by Penn LDC 17 Jul '23

17 Jul '23

In this newsletter: LanguageArc featured in Babel magazine Fall 2023 LDC Data Scholarship Program New publications: Mixer 7 Spanish Speech<https://catalog.ldc.upenn.edu/LDC2023S04> LORELEI Thai Representative Language Pack<https://catalog.ldc.upenn.edu/LDC2023T08> ________________________________ LanguageArc featured in Babel magazine The May 2023 edition of Babel<https://cloud.3dissue.com/18743/41457/106040/BabelNo43/index.html> (The Language Magazine) features an article about LDC's citizen science portal LanguageArc<https://languagearc.com/> (Language Analysis Research Community) and the diverse projects available there that utilize a variety of novel incentives to supplement traditional methods of creating data resources. Consider LanguageArc for your next collection project. Note: a subscription is necessary to view the article. Fall 2023 LDC Data Scholarship Program Student applications for the Fall 2023 LDC Data Scholarship program are being accepted now through September 15, 2023. This program provides eligible students with no-cost access to LDC data. Students must complete an application consisting of a data use proposal and letter of support from their advisor. For application requirements and program rules, visit the LDC Data Scholarships page<https://www.ldc.upenn.edu/language-resources/data/data-scholarships>. ________________________________ New publications: Mixer 7 Spanish Speech<https://catalog.ldc.upenn.edu/LDC2023S04> was developed by LDC and contains 9,600 hours of audio recordings of interviews, transcript readings, and conversational telephone speech involving 191 distinct native Spanish speakers. This material was collected by LDC in 2011-2012 as part of the Mixer project, and the recordings were used in the 2012 NIST SRE test set. Recruited speakers were connected through a robot operator to carry on casual conversations on a pre-set topic lasting up to 10 minutes. Participants also visited LDC's human subjects collection lab equipped with a 14-microphone array where they participated in interviews and transcript readings and conducted up to 3 telephone calls under varying conditions. Selected speaker metadata was also collected. 2023 members can access this corpus through their LDC accounts. This corpus is a members-only release and is not available for non-member licensing. Contact ldc(a)ldc.upenn.edu<mailto:ldc@ldc.upenn.edu> for information about membership. * LORELEI Thai Representative Language Pack<https://catalog.ldc.upenn.edu/LDC2023T08> is comprised of over 39 million words of Thai monolingual text, 2.85 million words of found Thai-English parallel text, and 141,000 Thai words translated from English data. Over 186,000 words were annotated for named entities and more than 25,000 words were annotated for entity discovery and linking and situation frames (identifying entities, needs, and issues). Data was collected from discussion forum, news, reference, social network, and weblogs. The LORELEI (Low Resource Languages for Emergent Incidents) program was concerned with building human language technology for low resource languages in the context of emergent situations. Representative languages were selected to provide broad typological coverage. The knowledge base for entity linking annotation is available separately as LORELEI Entity Detection and Linking Knowledge Base (LDC2020T10)<https://catalog.ldc.upenn.edu/LDC2020T10>. 2023 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. To unsubscribe from this newsletter, log in to your LDC account<https://catalog.ldc.upenn.edu/login> and uncheck the box next to "Receive Newsletter" under Account Options or contact LDC for assistance.

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2024

2023

2022