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PhD position: Realistic Conversational Agent, Paris area, France
by Gaël de Chalendar 10 May '23

10 May '23

The goal of this PhD will be to create a realistic conversational agent with a "personality". The generation model will have to take into account a description of the agent's knowledge about the world, about itself and about the conversation in progress in order to generate coherent responses. This external knowledge must be easily replaced or updated. The conversational agent produced will be developed within the framework of the Cortex² European project aiming, among other things, to produce tools that facilitate the experience of online meetings. - Supervisor: Gaël de Chalendar (CEA) - Director : Nasredine Semmar (CEA) - Employer : CEA, French public research organization - Location : Nano Innov, Paris-Saclay University, Palaiseau, France - Working conditions : full time, telecommuting (100 days/year, max 3 days/ week), 5 weeks of annual leave + 23 other days, subsidized meals, partial reimbursement of public transportation, social security coverage - Detailed description of the subject: https://instn.cea.fr/these/agent-conversationnel-realiste/ - Deadline for applications: June 4, 2023 - Start of the PhD: from September 1st, 2023 - Duration of the PhD: 3 years To candidate: gael.de-chalendar(a)cea.fr -- Gael de Chalendar CEA LIST Laboratoire d'Analyse Sémantique Texte et Image (Text and Image Semantic Analysis Laboratory) CEA Saclay Nano-INNOV DRT/LIST/DIASI/SIALV BAT 861 PC 184 F-91191 Gif-sur-Yvette Cedex Tél.:+33.1.69.08.01.50 Fax:+33.1.69.08.01.15 Email : Gael.D.O.T.de-Chalendar.A(a)T.cea.D.O.T.fr

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Job Opening for Senior Data Scientist (Remote - NLP for medical domain and life sciences)
by Ehsan Khoddam Mohammadi 10 May '23

10 May '23

*Title:* Senior Data Scientist (Remote) Application links *Netherlands* <https://jobs.lever.co/veeva/a6c967ac-5bbb-412b-9c3d-b72d709b8da7> [ https://jobs.lever.co/veeva/a6c967ac-5bbb-412b-9c3d-b72d709b8da7] *Germany <https://jobs.lever.co/veeva/e73b2147-5e3c-41cf-8f9e-db64dcdd1d3a> *[ https://jobs.lever.co/veeva/e73b2147-5e3c-41cf-8f9e-db64dcdd1d3a] Linkedin: https://www.linkedin.com/posts/activity-7061693573410254848-wJ6R *What You'll Do* - Adopt the latest technologies and trends in NLP to your platform - Experience with training, fine-tuning, and serving Large Language Models - Design, develop, and implement an end-to-end pipeline for extracting predefined categories of information from large-scale, unstructured data across multi-domain and multilingual settings - Create a robust semantic search functionality that effectively answers user queries related to various aspects of the data - Use and develop named entity recognition, entity-linking, slot-filling, few-shot learning, active learning, question/answering, dense passage retrieval, and other statistical techniques and models for information extraction and machine reading - Deeply understand and analyze our data model per data source and geo-region and interpret model decisions - Collaborate with data quality teams to define annotation tasks and metrics and perform a qualitative and quantitative evaluation. We have more than 1900 curators! - Utilize cloud infrastructure for model development, ensuring seamless collaboration with our team of software developers and DevOps engineers for efficient deployment to production *Requirements* - 4+ years of experience as a data scientist (or 2+ years with a Ph.D. degree) - Master's or Ph.D. in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field - Strong theoretical knowledge of Natural Language Processing, Machine Learning, and Deep Learning techniques - Proven experience working with large language models and transformer architectures, such as GPT, BERT, or similar - Familiarity with large-scale data processing and analysis, preferably within the medical domain - Proficiency in Python and relevant NLP libraries (e.g., NLTK, SpaCy, Hugging Face Transformers) - Experience in at least one framework for BigData (e.g., Ray, Spark) and one framework for Deep Learning (e.g., PyTorch, JAX) - Experience working with cloud infrastructure (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes) and experience with bashing script - Strong collaboration and communication skills, with the ability to work effectively in a cross-functional team - Used to start-up environments - Social competence and a team player - High energy and ambitious - Agile mindset *You can work remotely anywhere in Germany or The Netherlands, but you have to live in Germany or The Netherlands and be legally authorized to work there without requiring Veeva's support for a visa or relocation. If you do not meet this condition but you think you are an exceptional candidate, please clarify it in a separate note, and we will consider it.About Link: Our product offers real-time academic, social, and medical data to build comprehensive profiles. These profiles help our life-science industry partners find the right experts to accelerate the development and adoption of new therapeutics. We accelerate clinical trials and equitable care. We are proud that our work helps patients receive their most urgent care sooner.* *About Veeva:* Veeva is a mission-driven organization that aspires to help our customers in Life Sciences and Regulated industries bring their products to market, faster. We are shaped by our values: Do the Right Thing, Customer Success, Employee Success, and Speed. Our teams develop transformative cloud software, services, consulting, and data to make our customers more efficient and effective in everything they do. Veeva is a work anywhere company. You can work at home, at a customer site, or in an office on any given day. As a Public Benefit Corporation, you will also work for a company focused on making a positive impact on its customers, employees, and communities. Application links *Netherlands* <https://jobs.lever.co/veeva/a6c967ac-5bbb-412b-9c3d-b72d709b8da7> [ https://jobs.lever.co/veeva/a6c967ac-5bbb-412b-9c3d-b72d709b8da7] *Germany <https://jobs.lever.co/veeva/e73b2147-5e3c-41cf-8f9e-db64dcdd1d3a> *[ https://jobs.lever.co/veeva/e73b2147-5e3c-41cf-8f9e-db64dcdd1d3a] Linkedin: https://www.linkedin.com/posts/activity-7061693573410254848-wJ6R Ehsan Khoddam Data Science Manager at Veeva Systems Inc.

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Last CFP and Extended Deadline: CLEF 2023 - Conference and Labs of the Evaluation Forum
by Anastasia Giachanou 10 May '23

10 May '23

Last Call for papers and Extended Deadline for CLEF 2023: Conference and Labs of the Evaluation Forum 18-21 September 2023, Thessaloniki, Greece https://clef2023.clef-initiative.eu Important Dates (Time zone: Anywhere on Earth) - Submission of Long, Short, Best of 2023 Labs Papers: 12 May, 2023 21st of May (extended) - Notification of Acceptance: 9 June, 2023 - Camera Ready Copy due: 30 June, 2023 - Conference: 18-21 September, 2023 Aim and Scope The CLEF Conference addresses all aspects of Information Access in any modality and language. The CLEF conference includes presentation of research papers and a series of workshops presenting the results of lab-based comparative evaluation benchmarks. CLEF 2023 is the 14th CLEF conference continuing the popular CLEF campaigns which have run since 2000 contributing to the systematic evaluation of information access systems, primarily through experimentation on shared tasks. The CLEFconference has a clear focus on experimental IR as carried out within evaluation forums (e.g., CLEF Labs, TREC, NTCIR, FIRE, MediaEval, RomIP, SemEval, and TAC) with special attention to the challenges of multimodality, multilinguality, and interactive search also considering specific classes of users as children, students, impaired users in different tasks (e.g., academic, professional, or everyday-life). We invite paper submissions on significant new insights demonstrated on IR test collections, on analysis of IR test collections and evaluation measures, as well as on concrete proposals to push the boundaries of the Cranfield style evaluation paradigm. All submissions to the CLEF main conference will be reviewed on the basis of relevance, originality, importance, and clarity. CLEF welcomes papers that describe rigorous hypothesis testing regardless of whether the results are positive or negative. CLEF also welcomes past runs/results/data analysis and new data collections. Methods are expected to be written so that they are reproducible by others, and the logic of the research design is clearly described in the paper. The conference proceedings will be published in the Springer Lecture Notes in Computer Science (LNCS). Topics Relevant topics for the CLEF 2023 Conference include but are not limited to: - Information access in any language or modality: information retrieval, image retrieval, question answering, information extraction and summarisation, search interfaces and design, infrastructures, etc. - Analytics for information retrieval: theoretical and practical results in the analytics field that are specifically targeted for information access data analysis, data enrichment, etc. - User studies either based on lab studies or crowdsourcing. - Past results/run deep analysis both statistically and fine grain based. - Evaluation initiatives: conclusions, lessons learned, impact and projection of any evaluation initiative after completing their cycle. - Evaluation: methodologies, metrics, statistical and analytical tools, component based, user groups and use cases, ground-truth creation, impact of multilingual/multicultural/multimodal differences, etc. - Technology transfer: economic impact/sustainability of information access approaches, deployment and exploitation of systems, use cases, etc. - Interactive information retrieval evaluation: interactive evaluation of information retrieval systems using user-centered methods, evaluation of novel search interfaces, novel interactive evaluation methods, simulation of interaction, etc. - Specific application domains: information access and its evaluation in application domains such as cultural heritage, digital libraries, social media, health information, legal documents, patents, news, books, and in the form of text, audio and/or image data. - New data collection: presentation of new data collection with potential high impact on future research, specific collections from companies or labs, multilingual collections. - Work on data from rare languages, collaborative, social data. Format Authors are invited to electronically submit original papers, which have not been published and are not under consideration elsewhere, using the LNCS proceedings format: http://www.springer.com/it/computer-science/lncs/conference-proceedings-gui… Two types of papers are solicited: - Long papers: 12 pages max (excluding references). Aimed to report complete research works. - Short papers: 6 pages max (excluding references). Position papers, new evaluation proposals, developments and applications, etc. Review Process Authors of long and short papers are asked to submit the following TWO versions of their manuscript: Methodology version: This version does NOT report anything related to the results of the study. At this stage, the manuscripts will be evaluated based on the importance of the problem addressed and the soundness of the methodology. Manuscripts can include an introduction, description of the proposed methodology and datasets used. However, there should be no result and discussion sections. The authors should also remove mentions of results in the included sections (e.g., abstract, introduction) Experimental version: This is the full version of the manuscript that contains all the sections of the paper including the experiments and results. Papers will be peer-reviewed by 3 members of the program committee in two stages. At the first stage, the members will review the methodology version of the manuscripts based on originality and methodology. At the second stage, the full version of the manuscripts that passed from the first sage will be reviewed. Selection will be based on originality, clarity, and technical quality. The deadline for the submission of both versions is 12th of May 21st of May. Paper submission Papers should be submitted in PDF format to the following address: https://easychair.org/my/conference?conf=clef2023 - Submit the methodology version at the Methodology Track - Submit the experimental version at the Experimental Track Organisation General Chairs Evangelos Kanoulas, University of Amsterdam, the Netherlands Theodora Tsikrika, Information Technologies Institute, CERTH, GR Stefanos Vrochidis, Information Technologies Institute, CERTH, GR Avi Arampatzis, Democritus University of Thrace, Greece Program Chairs Anastasia Giachanou, Utrecht University, the Netherlands Dan Li, Elsevier Evaluation Lab Chairs Mohammad Aliannejadi, University of Amsterdam, the Netherlands Michalis Vlachos, University of Lausanne, Switzerland Lab Mentorship Chair Jian-Yun Nie, University of Montreal, Canada

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Job: Senior Manager, Digital Humanities Outreach
by heather froehlich 10 May '23

10 May '23

Hi all, Sharing a job that was shared with me... this is a good role for people who are interested in bringing text analysis methods to a wide range of stakeholders. *Please contact Amy Kirchhoff (amy.kirchhoff(a)ithaka.org <amy.kirchhoff(a)ithaka.org>) with any questions that you might have.* Short summary: ITHAKA, the non-profit that brought you JSTOR, is hiring a Senior Manager for Digital Humanities Outreach. The position is integrated into our Outreach team (the staff who talk to librarians about ITHAKA services) and will work very closely with Constellate (constellate.org). Constellate helps users across all disciplines learn essential text analysis and data skills. More details: *Senior Manager, Digital Humanities Outreach* *Location: Remote* *Link for info / application:* https://www.ithaka.org/job/4247846005/?gh_jid=4247846005 *The Role* ITHAKA is seeking a tech savvy and teamwork-oriented higher education professional to be our Outreach subject matter expert for ITHAKA’s emerging technologies that serve digital humanities research and instruction within academic libraries. ITHAKA’s mission is to expand access to knowledge and education around the world. Our services—Artstor, JSTOR, Portico, and Ithaka S+R— enable people everywhere to learn, to grow, and to overcome historical barriers to education. ITHAKA Senior Manager for Digital Humanities & Primary Sources, Outreach role provides an opportunity to have a transformative impact on the lives of students, teachers, researchers, and on the scholarly communications landscape more generally. *Responsibilities* As Senior Manager for Digital Humanities Resources Outreach you will be the internal and external subject matter expert responsible for achieving participation goals,helping to drive adoption and usage for new programs and services in the Digital Humanities, focusing on text and data analytics education and support. You will collaborate internally with colleagues to contribute to the ongoing development for the products and services you support as well as provide training and knowledge sharing for those products across the ITHAKA Outreach team. - Through direct faculty and library outreach, seek opportunities to integrate ITHAKA’s emerging technologies and services into digital humanities programs (through faculty and library outreach), supporting teaching with primary sources, information and data literacy, and text analytics. - Lead efforts to achieve participation goals for assigned products and services through direct customer activities such as: meetings (virtual, on-site visits, and industry trade shows) for new or at-risk participating institutions; following up on marketing-generated and inbound leads, and supporting the broader Outreach team through reviewing opportunities and internal training for staff. - Act as the subject matter expert for the Outreach team on products/services as assigned and how they can be used to support digital scholarship and teaching with primary sources. - Support introduction of assigned new products and services by contributing to beta and trial evaluation programs, collaborating with business owners to provide feedback on business models and validating end-user workflows. - Collaborate with ITHAKA Marketing, Outreach leadership, and business owners to determine the most effective value proposition for new products and services related to digital humanities; support effective go-to-market (GTM) planning, including the creation of materials to support launch. - Primary Outreach liaison to the JSTOR Labs team, helping to develop and provide feedback for incubated ideas. - Develop and maintain a network of relationships with digital humanities library staff, teaching faculty, and other key members of the academic community to stay abreast of important trends and best practices in digital and information literacy. - Ability to travel is required for this role, expectations in the 20-30% range. Experience and Skills - Minimum 5 years of experience in higher education or libraries, either at an academic institution or vendor. - Demonstrated expertise in digital humanities scholarship and primary source research. - An advanced degree (MLS, M.A. or PhD in a humanities field) and/or professional experience in teaching and research is a plus. - Excellent relationship building and communication skills, including the ability to effectively demonstrate digital content and platform tools via webinar and in person workshops. - Ability to work well as a team member; a willingness to actively participate in team projects and share ideas. - Strong attention to detail and a keen eye for accuracy. - Ability to perform with minimal supervision and to prioritize diverse work assignments. - Committed to our organizational values of belonging, evidence, speed, teamwork, and trust - Comfortable working with data (via tools such as Tableau) to extract learnings, make decisions, and demonstrate evidence. - Familiarity working with the standard Microsoft office suite (including intermediate Excel skills) and working in a CRM (such as Salesforce). Compensation & Benefits At ITHAKA we believe in openness and equity. Part of living those values is our commitment to clarity about salary ranges, so candidates know what to expect. The starting salary for this position ranges from $86,184 to $107,730 per year. Starting pay may vary with job-related knowledge, skills, and experience. Our total compensation package for benefits-eligible employees includes employer-paid medical, dental, and vision plans, an employer-paid 10% retirement contribution, paid parental and caregiver leave, 22 days of paid time off, 11 paid holidays, up to 12 sick days, gym reimbursement, and more. -- Dr Heather Froehlich w // http://hfroehli.ch t // @heatherfro

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8th Law and Corpus Linguistics Conference
by jesse.egbert＠yahoo.com 09 May '23

09 May '23

The 8th annual Law and Corpus Linguistics conference will be held on October 13, 2023 at Brigham Young University in Provo, Utah, USA. The keynote address will be delivered by Dean Gordon Smith. We look forward to panels on a wide range of topics. One of our panels will focus on the intersection between intellectual property law and corpus linguistics. The papers for this panel will be published in a symposium issue of the BYU Law Review. 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 the constitutional, statutory, contract, patent, copyright, 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; -the relationship between corpus linguistics and pragmatics (e.g. implicature, presupposition, sociolinguistic context); -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 31, 2023. 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. More information can be found at: https://corpusconference.byu.edu/2023-home/.

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First Call for Demos: PROPOR 2024 - 16th International Conference on Computational Processing of Portuguese [Apologies for cross-postings]
by Iria de Dios Flores 09 May '23

09 May '23

******************************************************** *PROPOR 2024: 16th International Conference on Computational Processing of Portuguese * Universidade de Santiago de Compostela (Santiago de Compostela - Galicia) March 14th to 15th 2024 https://propor2024.citius.gal/ ******************************************************** The International Conference on Computational Processing of Portuguese (PROPOR), whose next edition will take place for the first time in Galicia, birthplace of the Portuguese language, is the main event in the area of natural language processing that is focused on theoretical and technological issues of written and spoken Portuguese and Galician (considered as a local variety of the former). The meeting has been a very rich forum for the exchange of ideas and partnerships for the research and industry communities dedicated to the automated processing of this language, promoting the development of methodologies, resources and projects that can be shared among researchers and practitioners in the field. The PROPOR 2024 demonstration program committee *invites* *submissions for demonstrations*. Following the spirit of previous PROPOR editions, the demonstration track aims at bringing together academia and industry, creating a forum where more than written or spoken descriptions of research are available. Thus, demos should allow attendees to try and test them during their presentation in a dedicated session that will provide a more informal and interactive setting. Products, systems, or tools are examples of acceptable demos. Both early-research prototypes and mature systems may also be considered. *Important dates:* - Demos Submission: *December 10 2023 * - Notification of acceptance or rejection: *January 21 2024* - Camera-ready demo paper: *January 28 2024* - Conference: *March 14 and 15 2024* *Topics:* The areas of interest include all topics related to theoretical and applied issues of written and spoken Portuguese and Galician, such as, but not limited to, the same topics as for the conference paper submission: - Natural language processing tasks (e.g. parsing, word sense disambiguation, coreference resolution) - Natural language processing applications (e.g. question answering, subtitling, summarization, sentiment analysis) - Natural language generation - Information extraction and information retrieval - Speech technologies (e.g. spoken language generation, speech and speaker recognition, spoken language understanding) - Speech applications (e.g. spoken language interfaces, dialogue systems, speech-to-speech translation) - Resources, standardization and evaluation (e.g. corpora, ontologies, lexicons, grammars) - NLP-oriented linguistic description or theoretical analysis - Distributional semantics and language modeling - Portuguese language varieties and dialect processing (including the language varieties of Angola, Brazil, Cape Verde, East Timor, Galicia, Guinea-Bissau, Macau, Mozambique, Portugal, São Tomé, and Principe) - Multilingual studies, methods, applications, and resources including Portuguese/Galician The systems may be of the following kinds: - Natural Language Processing systems or system components - Application systems using language technology components - Software tools for computational linguistics research - Software for demonstration or evaluation - Development tools *Submissions:* Submissions should consist of a non-anonymous brief description document of up to* three pages *of content, including references. Developers must outline the main characteristics of their system/product/tool, provide sufficient details to allow its evaluation, and give information on how they plan to demonstrate it. Developers are encouraged to focus their description on the relevance of the computational processing component of Portuguese or Galician in the proposed system. Submissions should be written in English. At submission time, only PDF format is accepted. For the final versions, authors of accepted papers will be given one extra content page to take the reviews into account. Authors of accepted papers will be requested to send the source files for the production of the proceedings. All submitted papers must conform to the official ACL style guidelines. ACL provides style files for LaTeX and Microsoft Word that meet these requirements. They can be found at: - LaTeX styelesheet: https://github.com/acl-org/acl-style-files/tree/master/latex - MS Word stylesheet: https://github.com/acl-org/acl-style-files/tree/master/word *The URL for paper submission will be available soon.* *Publication:* Accepted demo papers are expected to be published by ACL as a volume in ACL Anthology (https://aclanthology.org/) as part of the PROPOR 2024 proceedings. They will be available online. To ensure publication, at least one author of each accepted paper must complete an adequate registration for PROPOR 2024 by the early registration deadline. *Presentation format:* Accepted demos will be presented at a designated demo session with an optional accompanying poster. Developers should make sure they could run their demos properly. Thus, it is the authors’ responsibility to provide the necessary technical conditions (i.e. equipment) for the demo at the conference. Note that the local organizers will not provide any hardware or software. Free high-speed Internet access will be available. There will be *a best demo award* for the best-presented project. Further details on the date, time, and instructions of the demonstration session(s) will be determined and provided at a later date. *Demo chairs*: - Marlo Souza (Universidade Federal da Bahia, Brazil) - Iria de-Dios-Flores (Universidade de Santiago de Compostela, Spain) -- *Iria de-Dios-Flores (PhD)* *https://sites.google.com/view/iriadediosflores/ <https://sites.google.com/view/iriadediosflores/>*

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[PhD-Position] Muiltimodal Fake-News and Disinformation Detection incl. xAI in TU Berlin
by Tim Polzehl 09 May '23

09 May '23

Dear colleagues, deadline approaching - roughly only a week left! TU Berlin is looking for a PhD candidate and Researcher, offering a 3 years contract with optional prolongation in our joint "News Polygraph“ project. We will primarily focus on applying various natural language processing models (especially transformer-based models) in the area of text-based fake news detention. In addition, various models will be explored and implemented in the domain of explainable AI, in order to make language models more transparent and reliable for end users. Moreover, data handling for English and German inputs is required for creating balanced training data to prevent biases in data, but countermeasures for biases in NLP models should also be handled. Real end users are involved in this project, e.g. Rundfunk Berlin Brandenburg (rbb - Berlin and Brandenburg’s official broadcaster on TV, radio and online) and Deutsche Welle (DW - Germany’s official voice for Germany abroad, broadcasting in more than 50 languages around the world), for whom a fact checking platform is to be developed that enables journalists to verify information in different modalities. In addition, several project partners from science (German Research Centre for Artificial Intelligence SLT and Fraunhofer IDMT) and industry (Ubermetrics, Transfermedia, Crowdee and Delphai) will work on similar solution approaches for the modalities audio, image and video. Finally, the project integrated crowd-wisdom harvesting automation into AI modelling in order to fuse human and artificial intelligence the best ways possible. This project combines both scientific developments with practical requirements in order to be able to process and detect false information faster and more comprehensively. If desired and suitable, a PhD in the subject area can be pursued as well as publication and presentation of project and research results in scientific journals, at conferences and workshops. Application deadline: May 18 More details: https://tub.stellenticket.de/en/offers/164721 Please circulate upon potentially interested. Many thanks! In case of questions pls contact me, I'm happy to help. Best regards from Berlin, Tim -- Dr.-Ing. Tim Polzehl Senior Researcher Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI) German Research Center for Artificial Intelligence Speech & Language Technology Associate Senior Researcher Technische Universität Berlin Quality and Usability Lab DFKI Labor Berlin Alt-Moabit 91c, D-10559 Berlin, Germany Tel.: +49.30.238951863 Fax: +49 30 23895 1810 E-Mail tim.polzehl(a)dfki.de<mailto:tim.polzehl@dfki.de> ------------------------------------------------------------- Deutsches Forschungszentrum für Künstliche Intelligenz GmbH Trippstadter Straße 122, 67663 Kaiserslautern, Germany Geschäftsführung: Prof. Dr. Antonio Krüger (Vorsitzender) Helmut Ditzer Vorsitzender des Aufsichtsrats: Dr. Ferri Abolhassan Amtsgericht Kaiserslautern, HRB 2313 -------------------------------------------------------------

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[PhD-Position] Muiltimodal Fake-News and Disinformation Detection incl. xAI in TU Berlin
by Tim Polzehl 09 May '23

09 May '23

Dear colleagues, deadline approaching - roughly only a week left! TU Berlin is looking for a PhD candidate and Researcher, offering a 3 years contract with optional prolongation in our joint "News Polygraph“ project. We will primarily focus on applying various natural language processing models (especially transformer-based models) in the area of text-based fake news detention. In addition, various models will be explored and implemented in the domain of explainable AI, in order to make language models more transparent and reliable for end users. Moreover, data handling for English and German inputs is required for creating balanced training data to prevent biases in data, but countermeasures for biases in NLP models should also be handled. Real end users are involved in this project, e.g. Rundfunk Berlin Brandenburg (rbb - Berlin and Brandenburg’s official broadcaster on TV, radio and online) and Deutsche Welle (DW - Germany’s official voice for Germany abroad, broadcasting in more than 50 languages around the world), for whom a fact checking platform is to be developed that enables journalists to verify information in different modalities. In addition, several project partners from science (German Research Centre for Artificial Intelligence SLT and Fraunhofer IDMT) and industry (Ubermetrics, Transfermedia, Crowdee and Delphai) will work on similar solution approaches for the modalities audio, image and video. Finally, the project integrated crowd-wisdom harvesting automation into AI modelling in order to fuse human and artificial intelligence the best ways possible. This project combines both scientific developments with practical requirements in order to be able to process and detect false information faster and more comprehensively. If desired and suitable, a PhD in the subject area can be pursued as well as publication and presentation of project and research results in scientific journals, at conferences and workshops. Application deadline: May 18 More details: https://tub.stellenticket.de/de/offers/164721/?locale=en<https://tub.stellenticket.de/de/offers/157309/?locale=en> Please circulate upon potentially interested. Many thanks! In case of questions pls contact me, I'm happy to help. Best regards from Berlin, Tim -- Dr.-Ing. Tim Polzehl Senior Researcher Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI) German Research Center for Artificial Intelligence Speech & Language Technology Associate Senior Researcher Technische Universität Berlin Quality and Usability Lab DFKI Labor Berlin Alt-Moabit 91c, D-10559 Berlin, Germany Tel.: +49.30.238951863 Fax: +49 30 23895 1810 E-Mail tim.polzehl(a)dfki.de<mailto:tim.polzehl@dfki.de> ------------------------------------------------------------- Deutsches Forschungszentrum für Künstliche Intelligenz GmbH Trippstadter Straße 122, 67663 Kaiserslautern, Germany Geschäftsführung: Prof. Dr. Antonio Krüger (Vorsitzender) Helmut Ditzer Vorsitzender des Aufsichtsrats: Dr. Ferri Abolhassan Amtsgericht Kaiserslautern, HRB 2313 -------------------------------------------------------------

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2nd CFP: MEDDOPLACE Shared Task (Evaluation now open!)
by Salvador Lima 08 May '23

08 May '23

(Apologies for cross-posting) 2nd CFP: MEDDOPLACE Shared Task (locations, clinical departments and travel NER/linking + geocoding from health texts) - NEW: Evaluation now open on CodaLab until mid-June! Info: - Web: https://temu.bsc.es/meddoplace/ - Registration: https://temu.bsc.es/meddoplace/registration - Data: https://zenodo.org/record/7707567 - Guidelines: https://zenodo.org/record/7775235 - CodaLab: https://codalab.lisn.upsaclay.fr/competitions/13017 MOTIVATION Location information represents one of the most relevant types of entities for high impact practical NLP solutions, resulting in a variety of applications adapted to different languages, content types and text genres. We organize the MEDDOPLACE shared task (Medical Documents PLAce-related Content Extraction, part of the IberLEF/SEPLN2023 initiative) devoted to the recognition, normalization and classification of location and location-related concept mentions for high impact healthcare data mining scenarios. For this task we released the MEDDOPLACE corpus of clinical case texts in Spanish annotated with location-relevant entity mentions, following annotation guidelines and entity linking procedures. Practical impact: - Diagnosis & prognosis: Location information is important for the diagnosis or prognosis of some diseases that are more endemic to certain regions or particular geographical environments. - Health risk factors: Geolocation information can be a risk factor in case of exposure to radiation, work-related or environmental contaminants affecting patients health. - Mobility: Due to the increasing mobility of populations, detection of patients' travels and movements can improve early detection and tracing of infectious disease outbreaks, and thus enable taking preventive measurements. The expected results and resources show a multilingual adaptation potential and impact beyond healthcare (e.g. adaptation to tourism/traveling-related content or legal texts). TASKS SUBTRACKS: 1. Location Entity Recognition: detect exact character offsets of all location & location-related mentions. 2. Geographic Entity Normalization (Geocoding/Entity Linking): for entity mentions, normalize them to their GeoNames (Toponym Resolution), PlusCodes (POIs Toponym Resolution) & SNOMED CT (Entity Linking) concept, depending on entity type. 3. Entity Subclassification: Classification of entity mentions into four subcategories of clinical relevance (patient’s origin place; residence’s location; place where the patient has traveled to/from; place where the patient has received medical attention) 4. End-to-End: Participant systems are evaluated in all three tasks above sequentially instead of being evaluated on their own. Publications & workshop Teams participating will be invited to contribute a systems description paper for the IberLEF (SEPLN 2023) Working Notes proceedings, and a short presentation of their approach at the IberLEF 2023 workshop, see: https://temu.bsc.es/meddoplace/publications/. Tentative Schedule: - End of evaluation Phase 1: May 31st, 2023 - End of evaluation Phase 2: June 12th, 2023 - Working papers submission: June 14th, 2023 - Notification of acceptance (peer-reviews): June 26th, 2023 - Camera-ready system descriptions: July 5th, 2023 - IberLEF @ SEPLN 2023: September 27th-29th, 2023 Organizers: - Martin Krallinger, Barcelona Supercomputing Center, Spain - Salvador Lima, Barcelona Supercomputing Center, Spain - Eulàlia Farré, Barcelona Supercomputing Center, Spain - Luis Gascó, Barcelona Supercomputing Center, Spain - Vicent Briva-Iglesias, D-REAL, Dublin City University, Ireland -- Salvador Lima Lopez RESEARCH ENGINEER Life Sciences - NLP for Biomedical Information Analysis, BSC-CNS Barcelona, Spain

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Reminder: Job Opening at CRC 1102, Saarbrücken (Postdoc or PhD)
by Stefania Degaetano-Ortlieb 08 May '23

08 May '23

Job Title: Postdoctoral Researcher or PhD Candidate in Computational Linguistics/Digital Humanities/Corpus Linguistics Position Type: Full-time, fixed-term (2 years with the possibility of extension) Salary in accordance with the German TV-L salary scale, pay grade: E13 TV- L. Application Deadline: June 1, 2023 Start Date: earliest possible opportunity, subject to negotiation Location: Saarland University is a campus university with an international reputation for research excellence, particularly in computer science and in the life sciences and nanosciences. The university is also distinguished by its close ties to France and its strong European focus. Around 17,000 students, studying over one hundred different academic disciplines, are currently enrolled at Saarland University. Saarland University is officially recognized as one of Germanys family-friendly higher-education institutions and with a combined workforce of more than 4000 it is one of the largest employers in the region. Workplace/Department: The position is affiliated with project B1 of the DFG-funded Collaborative Research Center (CRC) 1102. The successful applicant will have the opportunity to collaborate closely with other researchers at the CRC and at Saarland University. CRC 1102 is a thriving research environment with over 30 PhD students and postdocs from many subfields of linguistics, computational linguistics and psycholinguistics. It is located at Saarland University, one of the leading centers for computational linguistics in Europe. The Department of Language Science and Technology consists of about 100 research staff in nine research groups in the fields of computational linguistics, psycholinguistics, speech processing, and corpus linguistics. It is part of Saarland Informatics Campus, which brings together computer science research at the university with world-class research institutions on campus. See https://sfb1102.uni-saarland.de/ for more information on the CRC. Project B1: Information Density in English Scientific Writing: A Diachronic Perspective PIs: Elke Teich ( <mailto:e.teich@mx.uni-saarland.de> e.teich(a)mx.uni-saarland.de), Stefania Degaetano-Ortlieb ( <mailto:s.degaetano@mx.uni-saarland.de> s.degaetano(a)mx.uni-saarland.de) We are seeking a highly motivated Postdoctoral Researcher or PhD candidate with a strong background in computational linguistics or digital humanities and a keen interest in diachronic language studies. The position is situated in Project B1 on the Diachronic Development of Scientific English using information-theoretic approaches and considering rational communication accounts. Project B1 is concerned with the hypothesis of communicative optimization in the development of scientific English. Based on a diachronic corpus (Royal Society Corpus), we have applied selected types of computational language models (e.g. topic models, n-gram models, word embeddings) and combined them with information-based measures (e.g. entropy, surprisal) to capture diachronic variation. In the upcoming project phase, we intend to address the following research questions: (1) Is there evidence of a more general diachronic mechanism (beyond scientific language)? (2) Within scientific language, what are additional, typical imprints of conventionalization (register variables)? (3) How can we assess the overall communicative efficiency of scientific language (effects on working memory)? Focusing on selected linguistic phenomena (multi-word expressions, discourse markers, nominal vs. verbal phrases), we complement a corpus-based, production-oriented approach with selected behavioral, comprehension-oriented studies. Job requirements and responsibilities: * Conduct research on the diachronic development of scientific English using computational methods and information-theoretic approaches * Analyze linguistic data and develop models to understand the underlying principles of rational communication in scientific discourse * Collaborate with a multidisciplinary team of researchers in linguistics, computational linguistics, psycholinguistics, and related fields * Present research findings at conferences and publish in high-impact, peer-reviewed journals Your academic qualifications: * A completed MA/MSc in computational linguistics, digital humanities, or a closely related field (for Phd candidates) * A completed (or soon to be completed) PhD in computational linguistics, digital humanities, or a closely related field (for Postdoc candidates) The successful candidate will also be expected to: * Strong programming skills and experience with computational text analysis, natural language processing, or machine learning techniques * Familiarity with variationist/diachronic language studies * A solid understanding of information-theoretic approaches would be a plus * Familiarity with experimental linguistics would be a plus * Excellent written and verbal communication skills * A good command of English is mandatory * Ability to work independently and collaboratively in a multidisciplinary research environment What we can offer you: A flexible work schedule allowing you to balance work and family, among other things the possibility of teleworking Secure and future-oriented employment with attractive conditions A broad range of further education and professional development programs (for example language courses) An occupational health management model with numerous attractive options, such as our university sports program Supplementary pension scheme (RZVK) Discounted tickets on local public transport services (Job-Ticket Plus of the saarVV) To apply, please submit the following documents: 1. Cover letter detailing your research interests, qualifications, and motivation for applying 2. Curriculum vitae, including a list of publications 3. Names of two scholars who can be addressed for a letter of reference Please submit your application materials via email to e.teich(a)mx.uni-saarland.de <mailto:e.teich@mx.uni-saarland.de> and s.degaetano(a)mx.uni-saarland.de <mailto:s.degaetano@mx.uni-saarland.de> by June 1, 2023. For further information about the position or the research center visit our website at https://sfb1102.uni-saarland.de/ . We look forward to receiving your application and exploring the possibility of you joining our dynamic research team.

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