- Corpora - ELRA lists

Job-Research Assistant- Natural Language Processing -University of Galway-reg
by Bharathi Raja Asoka Chakravarthi 21 Oct '22

21 Oct '22

*Research Assistant* *Natural Language Processing and Linked Data* *School of Computer Science and Data Science Institute* *Ref. No. University of Galway 272-22* Applications are invited from suitably qualified candidates for a full-time, fixed-term position as a Research Assistant with the School of Computer Science and Data Science Institute at the National University of Ireland, Galway. This position is funded by SFI Insight Research Centre for Data Analytics and Fidelity Investments and is available from 1 November 2022 to contract end date of 30 October 2023. The School of Computer Science is ambitious and growing, and we invite the new appointees to contribute to this together with us. The vision of the School of Computer Science is to build a strong and sustainable learning environment with world-recognised research that informs high-quality undergraduate and postgraduate teaching that is inclusive and relevant to the needs of our stakeholders and society in general. The School of Computer Science was initially established in 1991 as the Information Technology Discipline, and became a School in 2019, recognising its growth and significance. DSI incorporates the University of Galway node of the nationwide Insight Centre for Data Analytics. DSI hosts more than 100 staff and has established itself as a top player worldwide in the areas of Semantic Web and Linked Data. It has successfully implemented a research strategy around the goal of “Enabling Networked Knowledge”, which aims at capitalizing on knowledge as the fuel for the digital service economy, by linking information and exploiting the resulting knowledge graphs as the basis for economic productivity. The institute performs fundamental and applied research in a range of research areas to enable this, including data streams and sensor networks, knowledge discovery, natural language processing, social semantics and social network analysis, among others. Research outcomes are applied in use cases across a range of domains, including eGovernment, financial services, manufacturing, eHealth and Life Sciences. School of Computer Science - University of Galway <https://www.universityofgalway.ie/science-engineering/school-of-computer-sc…> *https://www.insight-centre.org/* <https://www.insight-centre.org/> *Job Description:* This research assistant position is in the area of Inclusive language detection, and will focus on the combination of existing natural language processing and linked data technologies. This work will build on the definition of inclusive language provided in the Fidelity report “Inclusion Guide: Language, Accessibility and more”. In addition, we will investigate open benchmarks. The successful candidate supports the activities of the project through provision of research and administrative assistance and will work under the direction of the Project Leaders Dr Bharathi Raja Chakravarthi and Dr. John McCrae. The School of Computer Science and Data Science Institute (DSI) at University of Galway is inviting applications for the position of research assistant for 1 year in the context of the SFI Insight Research Centre for Data Analytics. *Duties:* *Research * · Actively participate as a member of a research team and assist an individual research leader or team to conduct a particular study (or group of studies). · To provide assistance in conducting research activities, including planning, organizing, conducting, and communicating research studies within the overall scope of a research project. · To coordinate and perform a variety of independent tasks and team activities involved in the collection, analysis, documentation and some interpretation of information/results. · Conduct literature and database searches and interpret and present the findings of the literature searches as appropriate. · Assist in analysis and interpretation of results of own research. *Write up & Disseminate* · Write up results from own research activity (e.g. as project report) for review by PI, including preparing technical reports, conclusions and recommendations. · Contribute to the publication of findings. · Provide input into the research project’s dissemination, in whatever form (report, papers, chapters, book) as directed by the PI/project leader. Authorship should be decided in line with guidelines such as the Vancouver Protocol, or similar authorship guidelines as appropriate. · Present on research progress and outcomes e.g. to bodies supervising research; steering groups; other team members, as agreed with the PI/project leader. · Should write at least workshop level papers. *Management* · Work under the direction of the Principal Investigator/Project Leader. Plan and manage own day-to-day research activity within this framework & direction. · Provide guidance as required to any support staff and/or research students assisting with the research project, as agreed with the Principal Investigator/Grant holder. · To perform other related duties incidental to the work described herein. · Where appropriate provide advice and / or assistance to support staff, research students. *Qualifications/Skills required: * *Essential Requirements: * · MSc in Natural Language Processing, Computer Science or Linguistics · Experience with natural language processing, linked data or related technologies · Excellent understanding of experimental design and scientific methodologies · Strong command of oral and written English · Good programming skills and evidence of previously completed software projects *Desirable Requirements: * · Strong knowledge of language technology for equality, diversity, and inclusion · Knowledge of debiasing techniques in NLP task · Knowledge of gender inclusive languages · Programming experience with deep learning in Python · Strong publication record · Track record of contribution to open source projects. *Employment permit restrictions apply for this category of post * *Salary: *€27,380 to €31,050 per annum, per annum pro rata for shorter and/or part-time contracts (public sector pay policy rules pertaining to new entrants will apply *Start date*: Position is available from November 2022 *Continuing Professional Development/Training*: Further information on research and working at University of Galway is available on Research at University of Galway <http://www.nuigalway.ie/our-research/> 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 https://www.universityofgalway.ie/rdc/ for further information. For information on moving to Ireland please see www.euraxess.ie Further information about the School of Computer Science and Data Science Institute is available at School of Computer Science - University of Galway <https://www.universityofgalway.ie/science-engineering/school-of-computer-sc…> https://www.universityofgalway.ie/dsi/ *NB*: Gárda vetting is a requirement for this post *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 ( bharathiraja.asokachakravarthi(a)universityofgalway.ie) and Dr. John P. McCrae, (john.mccrae(a)universityofgalway.ie) Please put reference number *University of Galway 272-22 *in subject line of e-mail application. *Closing date for receipt of applications is 5.00 pm 28th October 2022* 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 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 , bharathiraja.asokachakravarthi(a)universityofgalway.ie Google Scholar: https://scholar.google.com/citations?user=irCl028AAAAJ&hl=en

1 0

Second Call for Papers: Construction Grammars and NLP (CxGs+NLP) Workshop
by Harish Tayyar Madabushi 21 Oct '22

21 Oct '22

Apologies for cross-posting We are delighted to announce the First Construction Grammars and NLP (CxGs+NLP) Workshop as part of the Georgetown University Round Table and invite long and short papers submissions to the workshop. Please join the workshop’s Google Group for the latest updates and to post any questions you might have: https://groups.google.com/g/cxgsnlp-workshop All accepted papers will be included in the CxGs + NLP 2023 proceedings volume, which will be part of the ACL Anthology. Revised paper submission deadline: 15th November 2022 Second Call for Papers: Construction Grammars and NLP (CxGs+NLP) Workshop September 2022 | Claire Bonial & Harish Tayyar Madabushi Event Notification Type: Call for Papers Abbreviated Title: CxGs + NLP Website: https://sites.google.com/view/cxgsnlpworkshop Half-day workshop as part of Georgetown University Round Table (GURT), 9-12 March 2023 Location: Washington DC Contact: Please join the workshop’s Google Group for the latest updates and to post any questions you might have: https://groups.google.com/g/cxgsnlp-workshop Contact: Claire Bonial (U.S. Army Research Lab) Harish Tayyar Madabushi (University of Bath) Construction Grammar (CxG) approaches recognize all levels of linguistic structure as contributing meaning, which makes them a powerful tool for considering a wide variety of linguistic problems, from determining parts-of-speech to aspectual properties. How we look at these problems has an impact on a variety of related NLP and NLU applications, including parsing, question-answering and interactive information extraction, machine translation, language grounding in robotics, etc. For many applications in the traditional NLP pipeline, existing assumptions that meaning is tied to individual lexical items and composed according to rules leave some language phenomena unaccounted for. CxGs offer theoretical solutions to such phenomena and have made headway in the development of computational resources such as constructicons, but there is more to do in fruitfully bringing CxG theories to NLP applications. Similarly, recent advances in NLP, driven in large part by the introduction of pre-trained language models, have led to the development of computational methods independent of a linguistic grounding. Although there exists work in attempting to understand the cognitive and linguistic feasibility of these models, such work remains in its infancy. Given this dichotomy between the recent direction of NLP research and the closely related field of CxGs, we are excited to announce the CxGs + NLP workshop, aimed at bringing together researchers in the fields of Natural Language Processing and Construction Grammar so as to jump-start, what we believe is, an important conversation between these two complementary, yet currently disparate fields. Our aim is to bring together theoretical and computational researchers interested in CxG approaches and encourage topics examining how theoretical research can inform computational approaches and applications, whether existing or needed in the future. Thus, we invite original research papers from a range of topics, including but not limited to: - Theory and Linguistics - Formalisms for construction grammar - Natural Language Understanding (NLU) - Opinion pieces on the interplay between CxGs and NLP - Constructions and Language Models (BERTology) - Constructicons and corpora annotated for construction grammar - Construction grammar learning and adaptation - Applications In addition to the presentation of papers at the intersection of CxGs and NLP, we will have invited speakers discussing the relation between these fields from different perspectives. The workshop will also include a discussion consisting of experts from both fields discussing possible synergies between the two fields. Venue: The Georgetown University Round Table on Linguistics (GURT) is a peer-reviewed annual linguistics conference held continuously since 1949 at Georgetown University in Washington DC, with topics and co-located events varying from year to year. Under an overarching theme of ‘Computational and Corpus Linguistics’, GURT 2023 will feature four events, which are workshops or conferences focused on computational and corpus approaches to syntax but also covering theoretical issues: Universal Dependency Workshop (UDW), Depling, Treebanks and Linguistic Theory (TLT), and CxGs+NLP. All talks from all events will take place in a single (non-parallel) plenary session, with the papers from one event being presented contiguously. The goal of co-locating these events to promote cross-fertilization of ideas across subcommunities. Proceedings will be published separately for each event, and will be available in the ACL Anthology. Please see the GURT website here: https://gurt.georgetown.edu/ In order to support rich discussions and networking with minimal overhead and cost, GURT will be primarily an in-person event; we will, however, accommodate a limited number of live/synchronous remote presentations, prioritizing those with circumstances that prevent travel. University policies regarding COVID safety will be in force during the event. Georgetown University is located in a historic neighborhood in the heart of the nation’s capital. The city is a premier tourist destination, and the region is served by Reagan National (DCA), Dulles (IAD), and Baltimore-Washington (BWI) airports. Important dates: - Workshop papers due: 1 November 2022 15th November 2022 (Extended) - Notification of acceptance: 9 January 2023 - Camera-ready papers due: 28 January 2023 - Workshop date: half day TBD in the period of 9-12 March 2023 All deadlines are 11.59 pm UTC -12h ("anywhere on Earth"). Submissions We accept two types of submissions, long papers and short papers, following the ACL policy on submission, review, and citation: https://www.aclweb.org/adminwiki/index.php?title=ACL_Policies_for_Submissio… All papers accepted for presentation at the workshop will be included in the CxGs + NLP 2023 proceedings volume, which will be part of the ACL Anthology. Additionally, non-archival short papers will be considered for acceptance into the workshop as in-person poster presentations only; these should be submitted by email directly to the organizers for review as opposed to submission through the EasyChair conference website and will not undergo double-blind review. Long papers may consist of up to eight (8) pages of main content; short papers may consist of up to four (4) pages of main content; and final versions will be given one additional page of content so that reviewers' comments can be taken into account. Limits on main content do not apply to references or (optional) ethics statements. After the references, the submission may include appendices for supplementary content not necessary for evaluating the contributions of the paper (reviewers will not be required to review the appendices). Submissions should be sent in electronic forms, using the EasyChair conference management system: https://openreview.net/group?id=georgetown.edu/GURT/2023/Conference Submissions are open to all, and are to be submitted anonymously. All papers will be refereed through a double-blind peer review process with final acceptance decisions made by the workshop organizers. Submissions may be selected for publication in a GURT venue other than CxGs + NLP at the discretion of the organizers. Paper Submission and Templates: Submission is electronic, using the EasyChair conference management system. Both long and short papers must follow the ACL two-column format, using the supplied official style files: https://github.com/acl-org/acl-style-files Please do not modify these style files, nor should you use templates designed for other conferences. Double submission policy: We will accept submissions that have been or will be submitted elsewhere, but require that the authors notify us, including information on where else they are submitting. We also require that authors withdraw work that will be published elsewhere (no double publication). Submissions that violate these requirements will be rejected without review. Instructions For Double-Blind Review: As reviewing will be double blind, papers must not include authors’ names and affiliations. Furthermore, self-references or links (such as github) that reveal the author’s identity, e.g., “We previously showed (Smith, 1991) …” must be avoided. Instead, use citations such as “Smith previously showed (Smith, 1991) …” Papers that do not conform to these requirements will be rejected without review. Papers should not refer, for further detail, to documents that are not available to the reviewers. For example, do not omit or redact important citation information to preserve anonymity. Instead, use third person or named reference to this work, as described above (“Smith showed” rather than “we showed”). If important citations are not available to reviewers (e.g., awaiting publication), these paper/s should be anonymised and included in the appendix. They can then be referenced from the submission without compromising anonymity. Papers may be accompanied by a resource (software and/or data) described in the paper, but these resources should also be anonymized. More information about the workshop can be found on the CxGs+NLP website: https://sites.google.com/view/cxgsnlpworkshop

1 0

Workshop on Multimodal Machine Learning in Low-resource Languages at ICON-2022
by Shardul Suryawanshi 19 Oct '22

19 Oct '22

Sorry for cross-posting. We are happy to announce that the call for submission at the "Workshop on Multimodal Machine Learning in Low-resource Languages" at the 19th International Conference on Natural Language Processing (ICON-2022) is open. The workshop aims to bring together members of the* machine learning and multimodal data fusion fields in regional languages*. We anticipate contributions that hate speech and emotional analysis in multimodality include video, audio, text, drawings, and synthetic material in regional language. This workshop's objective is to advance scientific study in the broad field of *multimodal interaction, techniques, and systems, emphasising important trends and difficulties in regional languages*, with the goal of developing a roadmap for future research and commercial success. We invite *submissions on topics* that include, but are not limited to, the following: - Multimodal Sentiment Analysis in regional languages - Hate content video detection in regional languages - Trolling and Offensive post detection in Memes - Multimodal data fusion and data representation for hate speech detection in regional language - Multimodal hate speech benchmark datasets and evaluations in regional languages - Multimodal fake news in regional languages - Data collection and annotation methodologies for safer social media in low-resourced languages - Content moderation strategies in regional languages - Cybersecurity and social media in regional languages *Important Dates:* - Paper Submission *Deadline: Oct 30, 2022* - Paper Acceptance *Notification: Nov 15, 2022* - *Camera-ready* Submission Deadline: *Dec 01, 2022* - *Workshop: Dec 15, 2022* Please follow the workshop link <https://sites.google.com/view/mmlow-icon2022/home?authuser=0> for more information. Thanks & Regards, Organizers @ Multimodal Machine Learning in Low-resource Languages

1 0

2x Research Associate (post-doc) positions at The University of Sheffield, UK
by Carol Scarton 19 Oct '22

19 Oct '22

Dear all, We are hiring two Research Associates (post-doc) to work in the area of natural language processing and machine learning, and more specifically analysis of online misinformation. These posts are for approximately 3 years and the expected start is December 2022 (or shortly after). The deadline for application is 1st of November 2022. More information and link to apply: https://www.jobs.ac.uk/job/CUB141/research-associate-in-machine-learning-an… Kind regards -- *Carolina Scarton* Lecturer in Natural Language Processing Department of Computer Science University of Sheffield http://staffwww.dcs.shef.ac.uk/people/C.Scarton/

1 0

CfP: GURT 2023 - CxGs+NLP, Depling, TLT, UDW (SyntaxFest)
by Amir Zeldes 18 Oct '22

18 Oct '22

Call for Papers - Georgetown University Round Table on Linguistics (GURT 2023) � Theme: Computational and Corpus Linguistics Workshops: CxGs+NLP, Depling, TLT, UDW Location: Washington, DC Date: March 9-12, 2023 � The Georgetown University Round Table on Linguistics (GURT) is a peer-reviewed annual linguistics conference held continuously since 1949 at Georgetown University in Washington DC, with topics and co-located events varying from year to year. � Under an overarching theme of ‘Computational and Corpus Linguistics’, GURT 2023 will consist of four workshops focused on computational and corpus approaches to syntax: a new workshop on CxGs+NLP, and three returning SyntaxFest workshops, Depling, TLT, and UDW. Talks will take place in plenary sessions to promote crossfertilization of ideas across subcommunities. � � Proceedings will be published in the ACL Anthology. � New Workshop: * Construction Grammars and NLP (CxGs+NLP) � Returning SyntaxFest events: * Depling - International Conference on Dependency Linguistics * TLT - Treebanks and Linguistic Theories * UDW - Universal Dependencies Workshop � There will be a joint program committee to review short and long paper submissions. Authors of each submission will indicate which of the four workshops (possibly multiple) would be appropriate. Individual event CfPs and themes can be found at: � <https://gurt.georgetown.edu/calls-for-papers/> https://gurt.georgetown.edu/calls-for-papers/ � � Important Dates � November 15, 2022 – submission deadline (long and short papers) January 11, 2023 – notification of acceptance February 1, 2023 – camera-ready version March 9–12, 2023 – GURT 2023 � We look forward to your submission and to seeing you in Washington in 2023! � The GURT organizers �

1 0

Call for participation: Workshop on Reflection on Intelligent Systems (online, free, Oct 20/21)
by Gabriella Lapesa 18 Oct '22

18 Oct '22

Dear colleagues, I would like to bring to your attention the program of the online workshop on Reflection on Intelligent Systems, organized by IRIS (Interchange forum for Reflecting on Intelligent Systems) at the University of Stuttgart. When/where: the workshop will take place on October 20/21, online, and there is no participation fee (you just have to register, see the link in the program). What: we have a very diverse program ranging different disciplines (NLP, physics, philosophy, education, literary studies, etc.). For the full program, see: https://www.iris.uni-stuttgart.de/public-engagement/event/Digital-Workshop-… <https://www.iris.uni-stuttgart.de/public-engagement/event/Digital-Workshop-…> But to give you a gist, here are the titles/abstracts of the keynote talks: Anne Lauscher (University of Hamburg) Fairness & Inclusion in Machine Learning for Text: Back to the Future? The majority of the research efforts in Natural Language Processing are mostly opting for better performance on major benchmarks and downstream tasks. However, it is vital to acknowledge that eventually, these systems will be deployed in a concrete sociotechnical environment, and, thus, their development and their decisions will directly or indirectly affect individuals and more generally, society as a whole. For instance, NLP systems are prone to encode and amplify unfair stereotypes and often simply fail to adequately represent terms referring to minority groups, which might lead to further discrimination and exclusion of marginalised individuals. In this talk, I will provide an introduction to the training mechanism of modern machine learning-based NLP systems and point to the input data as one potential source of these ethical issues with case studies in conversational AI and machine translation. Bob Williamson (University of Tübingen) AI as Mediator Much of the current discussion of AI views it as an autonomous force. In this talk I will present a complementary view of “AI as mediator”, whereby AI is viewed as an intermediary between humans and the world. This does not solve all the problems of AI. But it does give a different way of thinking about them, and one which is better aligned with the view of AI as IA — Intelligence Augmentation. In pursuing this agenda, I will also talk about technology in general, the importance of context, the distinction between tools and machines, when and where decisions get made, and notions of delegation. The talk is more “mediations on mediation” than a definitive proposal or argument. Gregor Betz (Karlsruhe Institute of Technology) Are Large Language Models "Intelligent" Agents? Large Large Models (LLMs) such as GPT-3 are causing a minor scientific revolution in NLP and AI. In the same time, these technologies have sparked broader controversies about their very nature as intelligent, possible sentient beings. In this keynote, I'll flashlight key controversies surrounding LLMs, re-visit some fundamental debates in philosophy of mind and epistemology, and try to come up with a philosophically informed outlook on LLMs as "intelligent" agents. Kanta Dihal (University of Cambridge) A History of Imagining Intelligent Systems People have been imagining intelligent systems for millennia, in ways that vary greatly across cultures. While themes such as embodiment seem to be widespread, ideas of what constitutes an intelligent system and what its place in society should be are strongly dependent on cultural, national, and other contexts. Yet as artificial intelligence begins to fulfil its potential as a technology, spreading across the globe from its origins in 1950s America, many of these perspectives are marginalised. These stories, films, and visions matter: they are entangled in broader cultural attitudes and approaches to AI, reflecting or inspiring, embedding or disputing them. This lecture will introduce a history of such visions from across the globe, how they influence public perceptions of AI, and what they can tell us now that intelligent systems are becoming a technological reality. Hope this is of interest for many of you! Best, Gabriella

1 0

Disinformation Day online: Wednesday, Oct. 26th from 11 AM - 2 PM CT
by Matt Lease 18 Oct '22

18 Oct '22

Join us online next week for our first Disinformation Day ( https://www.disinfoday.com/): Wednesday, Oct. 26th from 11 AM - 2 PM CT. This event is free and open to the public. -- Matt Lease Professor School of Information University of Texas at Austin Voice: (512) 471-9350 · Fax: (512) 471-3971 · Office: UTA 5.536 http://www.ischool.utexas.edu/~ml ---------- Forwarded message --------- From: Good Systems - A UT Austin Grand Challenge < goodsystems(a)austin.utexas.edu> Date: Thu, Oct 6, 2022 at 11:01 AM Subject: Join Us: Disinformation Day on Oct. 26 <https://utexas.us18.list-manage.com/track/click?u=7bbaaf4a3a8c1922f0c260e40…> Registration is now open for Disinformation Day! Hosted by Good Systems’ “Designing Responsible AI Technologies to Curb Disinformation” <https://utexas.us18.list-manage.com/track/click?u=7bbaaf4a3a8c1922f0c260e40…> research team, this virtual event brings together researchers and thought leaders working across disciplines and sectors to discuss approaches to curbing the spread of digital disinformation. Data scientist and engineer* Dr. David Corney <https://utexas.us18.list-manage.com/track/click?u=7bbaaf4a3a8c1922f0c260e40…>* will deliver a keynote on “How AI can help fact checkers to fight bad information.” The keynote will be followed by two panels exploring topics including bias and fairness and addressing the gap between fact checkers’ needs and existing technologies. Attendees are encouraged to participate in interactive Q&As following each session. This event is free and open to the public. Visit the event webpage to learn more about the agenda and speakers: www.disinfoday.com <https://utexas.us18.list-manage.com/track/click?u=7bbaaf4a3a8c1922f0c260e40…> . *WHEN: *Wednesday, Oct. 26th from 11 AM - 2 PM CT *WHERE: *Zoom Register <https://utexas.us18.list-manage.com/track/click?u=7bbaaf4a3a8c1922f0c260e40…> *Get Involved.* *Good Systems <https://utexas.us18.list-manage.com/track/click?u=7bbaaf4a3a8c1922f0c260e40…>is a research grand challenge at The University of Texas at Austin. We're a team of information and computer scientiests, robotics experts, engineers, humanists and philosophers, policy and communication scholars, architects, and designers, all dedicated to embedding ethics in AI. Our goal is to design AI technologies that benefit society. Follow us on Twitter <https://utexas.us18.list-manage.com/track/click?u=7bbaaf4a3a8c1922f0c260e40…>, join us at our events <https://utexas.us18.list-manage.com/track/click?u=7bbaaf4a3a8c1922f0c260e40…>, learn about partnership opportunities, <https://utexas.us18.list-manage.com/track/click?u=7bbaaf4a3a8c1922f0c260e40…> and visit our news page <https://utexas.us18.list-manage.com/track/click?u=7bbaaf4a3a8c1922f0c260e40…> for updates.* Stay Connected [image: Twitter] <https://utexas.us18.list-manage.com/track/click?u=7bbaaf4a3a8c1922f0c260e40…> [image: Website] <https://utexas.us18.list-manage.com/track/click?u=7bbaaf4a3a8c1922f0c260e40…> [image: Email] <goodsystems(a)austin.utexas.edu> [image: YouTube] <https://utexas.us18.list-manage.com/track/click?u=7bbaaf4a3a8c1922f0c260e40…> *Copyright © 2022 Bridging Barriers - Vice President for Research - UT Austin, All rights reserved.* You are receiving this email because you opted in via our website. *Our mailing address is:* Bridging Barriers - Vice President for Research - UT Austin PO Box 7996 Austin, TX 78713-7996

1 0

Junior Professor Position in the University of La Rochelle
by Antoine Doucet 18 Oct '22

18 Oct '22

[apologies for cross-posting] Dear all, This message is to highlight that a junior professor position in digital humanities remains open in La Rochelle, with all details here: https://euraxess.ec.europa.eu/jobs/842223 Please spread the word and don't hesitate to ask questions. Please also take notice of the now rather tight deadline! Cheers Antoine Doucet

1 0

NLP Open Source Software Workshop (NLP-OSS) - Survey
by liling tan 18 Oct '22

18 Oct '22

Dear Corpora List community, The Workshop for NLP Open Source Software (NLP-OSS) had two editions in ACL 2018 and 2022. The primary goal of this workshop is to share insights on the engineering and community aspects of NLP OSS, which we seldom talk about in scientific publications. We are gathering information to know whether the community would like to see a new edition of the workshop for 2023. Please do help us know your thoughts on the workshop by filling up this questionnaire https://forms.gle/oSLvW2dBg1earz4v7 Regards, Liling On behalf of (future edition) NLP-OSS Organizers P/S: The results will be shared openly and most of our workshop organizations are done openly on https://github.com/nlposs/NLP-OSS

1 0

3 Open Positions PostDoc and PhD at FIZ Karlsruhe on Knowledge Graphs, Ontologies, and Deep Learning
by harald.sack＠fiz-karlsruhe.de 18 Oct '22

18 Oct '22

3 Open Positions PostDoc and PhD at FIZ Karlsruhe [1] - Leibniz Institute for Information Infrastructure in the Information Service Engineering research group (FIZ ISE) [2] in Knowledge Graphs, Ontologies, and Deep Learning --------------------------------------------------------------------- Position 1: PostDoc on Knowledge Graphs, Deep Learning, Ontological Engineering https://www.fiz-karlsruhe.de/en/stellenanzeigen/postdoc-senior-researcher-w… reference number 41/2022 Description of the Position: This position is part of the Information Service Engineering (ISE) Research group at FIZ Karlsruhe (FIZ ISE). FIZ ISE investigates models and methods for efficient semantic indexing, aggregation, linking and retrieval of comprehensive heterogeneous and distributed data sources. To this end, both statistical and linguistic analysis methods (NLP) as well as machine learning in combination with symbolic logic are applied. ISE research relies and extends on knowledge representation standards developed for the Semantic Web. ISE research application areas include but are not limited to solutions for knowledge extraction, semantic annotation, semantic and exploratory search, as well as recommender systems and question answering. Besides basic methodological research, domains of applied ISE research are, amongst others, cultural heritage, digital humanities, materials science, and research data management. Job Description: - We are looking for an ambitious person who aims for a successful scientific career in the context of knowledge graph related technologies contributing to the strategic research and technology goals of FIZ Karlsruhe - The offered position will be in the FIZ ISE research team - We are expecting innovative research on FIZ ISE research topics including active involvement in scientific publications, third party funding proposals, as well as in professional academic activities - Furthermore, supervision of master and bachelor theses as well as co-supervision of FIZ ISE PhD students is expected - We offer a productive and continuously evolving research environment and will actively support you in your further scientific qualification - Our goal is to perform internationally leading research which can be applied in high impact use cases Qualifications and Skills: - An excellent completed PhD degree in Computer Science or a related field - Publications of research results in renowned, peer-reviewed journals and conferences - Proven software engineering skills and the ability to develop mature software components beyond pure research prototypes - Successful supervision of bachelor and master theses - Successful collaborations with other research groups, industry, as well as open-source and community-initiatives, for example in the context - of publicly funded collaborative research projects - Experience in applying for funding from national, European and international funding agencies - Excellent English skills, written and spoken, German language skills are highly beneficial Expertise in several of the following fields of research: - Knowledge Graphs and Semantic Web Technologies - Machine Learning and Deep Learning - Ontology Design and Ontological Engineering - Natural Language Processing Duration: The position is limited to two years with optional extension by two more years. The position is available from December 2022. We will consider applications until the position is filled. Deadline for application: Nov 15, 2022 Website: https://www.fiz-karlsruhe.de/en/stellenanzeigen/postdoc-senior-researcher-w… --------------------------------------------------------------------- Position 2 & 3: PhD or PostDoc Knowledge Graphs & Ontological Engineering https://www.fiz-karlsruhe.de/en/stellenanzeigen/postdoc-senior-researcher-o… reference number: 43/2022 Description of the position: This position is part of the Platform MaterialDigital project (https://www.materialdigital.de/) on the sustainable digitalization of materials within the FIZ ISE research group [2]. Particular tasks within the project will be the design, implementation, alignment, and maintenance of ontologies for materials science engineering. - We are looking for an ambitious person who aims for a successful scientific career in the context of knowledge graph related technologies contributing to the strategic research and technology goals of FIZ Karlsruhe - The offered position will be in the FIZ ISE research team - We are expecting innovative research on FIZ ISE research topics including active involvement in scientific publications, third party funding proposals, as well as in professional academic activities - Furthermore, supervision of master and bachelor theses (as well as for PostDocs co-supervision of FIZ ISE PhD students) is expected - We offer a productive and continuously evolving research environment and will actively support you in your further scientific qualification - Our goal is to perform internationally leading research which can be applied in high impact use cases Qualifications and Skills: - An excellent completed master degree in Computer Science or a related field - Publications of research results in renowned, peer-reviewed journals and conferences - Proven software engineering skills and the ability to develop mature software components beyond pure research prototypes - Knowledge of materials science is highly beneficial, but not mandatory Additionally for PostDocs: - An excellent completed PhD degree in Computer Science or a related field - Successful supervision of bachelor and master theses - Successful collaborations with other research groups, industry, as well as open-source and community initiatives, for example in the context of publicly funded collaborative research projects - Experience in applying for funding from national, European and international funding agencies - Excellent English skills, written and spoken, German language skills are highly beneficial Expertise in one (or more) of the following fields of research: - Knowledge Graphs and Semantic Web Technologies - Ontology Design and Ontological Engineering - Natural Language Processing - Machine Learning and Deep Learning Duration: The position is limited to two years with optional extension by two more years. The position is available by now. We will consider applications until the position is filled. Deadline for the application: Nov 15, 2022. Website: https://www.fiz-karlsruhe.de/en/stellenanzeigen/postdoc-senior-researcher-o… --------------------------------------------------------------------- [1] FIZ Karlsruhe - Leibniz Institute for Information Infrastructure is one of the leading providers of scientific information and services and a member of the Leibniz Association. Our core tasks are the professional provision of research and patent information to science and industry as well as the development of innovative information infrastructures, e.g., with a focus on research data management, knowledge graphs and digital platforms. To this end, we conduct our own research, cooperate with renowned universities and research societies, and are internationally and interdisciplinarily networked. FIZ Karlsruhe is a limited liability company with a non-profit character and one of the largest non-university institutions of its kind. [2] Information Service Engineering (ISE) Research group at FIZ Karlsruhe (FIZ ISE) investigates models and methods for efficient semantic indexing, aggregation, linking and retrieval of comprehensive heterogeneous and distributed data sources. To this end, both statistical and linguistic analysis methods (NLP) as well as machine learning in combination with symbolic logic are applied. ISE research relies and extends on knowledge representation standards developed for the Semantic Web. ISE research application areas include but are not limited to solutions for knowledge extraction, semantic annotation, semantic and exploratory search, as well as recommender systems and question answering. Besides basic methodological research, domains of applied ISE research are, amongst others, cultural heritage, digital humanities, materials science, and research data management. FIZ Karlsruhe is committed to promoting the careers of women and therefore looks forward to receiving applications by female candidates. FIZ Karlsruhe also positively welcomes applications from suitably qualified disabled people. Information on data protection for applicants can be found at www.fiz-karlsruhe.de/en/stellenanzeigen. For questions, please contact Prof. Dr. Harald Sack (Harald.Sack(at)fiz-karlsruhe.de).

1 0

2026

2025

2024

2023

2022

Corpora