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Call for paper-MMLow-ICON 2022 -reg
by Shardul Suryawanshi 07 Nov '22

07 Nov '22

*Paper Submission Deadline Extended* to Nov 15 *WORKSHOP ON MULTIMODAL MACHINE LEARNING IN LOW-RESOURCE LANGUAGES at ICON 2022 <https://lcs2.in/ICON-2022/>* *Link: *https://sites.google.com/view/mmlow-icon2022/home?authuser=0 In recent years, the exploitation of the potential of big data has resulted in significant advancements in a variety of Computer Vision and Natural Language Processing applications. However, the majority of tasks addressed thus far have been primarily visual in nature due to the unbalanced availability of labelled samples across modalities (e.g., there are numerous large labelled datasets for images but few for audio or IMU-based classification), resulting in a large performance gap when algorithms are trained separately. With its origins in audio-visual speech recognition and, more recently, in language and vision projects such as image and video captioning, multimodal machine learning is a thriving multidisciplinary research field that addresses several of artificial intelligence's (AI) original goals by integrating and modelling multiple communicative modalities, including linguistic, acoustic, and visual messages. Due to the variability of the data and the frequently observed dependency between modalities, this study subject presents some particular problems for machine learning researchers. Because the majority of this hateful content is in regional languages, they easily slip past online surveillance algorithms that are designed to target articles written in resource-rich languages like English. As a result, low-resource regional languages in Asia, Africa, Europe, and South America face a shortage of tools, benchmark datasets, and machine learning approaches. This 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 a 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: * Nov 14, 2022 *Paper Acceptance Notification: **Nov 15, 2022 * *Camera-ready Submission Deadline: * Dec 01, 2022 *Workshop*: Dec 15, 2022 Thanks & Regards, MMLow Organizers

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Search Solutions 2022 - Final call
by Udo Kruschwitz 07 Nov '22

07 Nov '22

Search Solutions 2022 ------------------------------ Weds 23 November 10:00 - 18:00 https://www.bcs.org/membership-and-registrations/member-communities/informa… Innovations in Search and Information Retrieval Search Solutions is the BCS Information Retrieval Specialist Group’s annual forum focused on practitioner issues and latest innovations in the area of Search and Information Retrieval. The programme includes presentations, panels and keynote talks by influential industry leaders on novel and emerging applications in search and information retrieval. 09:30 - 10:00 Registration and coffee SESSION 1: THE SEARCH EXPERIENCE: FOCUS ON THE USERS 10:00 - 10:15 Introduction 10:15 - 10:45 Natasha den Dekker (LexisNexis) “How to conduct empathetic user research to test the search experience of users?” 10:45 - 11:15 Amy Walduck (State Library of Queensland) “The Topography of Searching: Visualising search data” 11:15 - 11:45 BREAK SESSION 2: BEYOND KEYWORD SEARCH: SEMANTIC/CONVERSATIONAL/AUDIO SEARCH 11:45 - 12:15 Brammert Ottens (Spotify) “Finding the Right Audio Content for You” 12:15 - 12:45 Mohamed Yahya (Bloomberg) “Taking Question Answering from Research Prototype to Product” 12:45 - 13:15 Filip Radlinski (Google) “Challenges with Really Understanding Natural Language in Conversational Recommendation” 13:15 - 14:15 LUNCH SESSION 3: SEARCH WITH AN IMPACT: SEARCHING HEALTH-RELATED INFORMATION 14:15 - 14:45 Farhad Shokraneh (Institute of Health Informatics, University College London) “The Futures of Systematic Searching” 14:45 - 15:15 Gavin Moore & Andrew Doyle (University Hospitals Coventry & Warwickshire NHS Trust) “A Programmable Search – A Solution to Finding Guidelines and Patient Information?” 15:15 - 15:30 BREAK SESSION 4: A WORLD BEYOND WEB SEARCH: ENTERPRISE SEARCH 15:30 - 16:00 Julien Massiera & Cedric Ulmer (France Labs) “Combining Spacy with Datafari Community Edition to enable semantic Enterprise Search” 16:00 - 16:30 Phil Lewis (Pureinsights) “Practical Applications of Knowledge Graphs and AI in Search” 16:30 - 17:00 Lightning Talks (feel free to step up and present YOUR five-minute talk) 17:00 - 17:30 OUR TRADITIONAL FISHBOWL SESSION 17:30 - 17:45 BCS SEARCH INDUSTRY AWARDS 17:45 DRINKS / BCS-IRSG AGM starts 18:00 TUTORIALS (Tuesday 22 November) Tutorial 1 – Full day IR From Bag-of-words to BERT and Beyond through Practical Experiments * Sean MacAvaney (University of Glasgow), Craig Macdonald (University of Glasgow), Nicola Tonellotto (University of Pisa) Tutorial 2 – AM Approaching Neural Search with Apache Solr and Open-source technologies * Alessandro Benedetti (CEO @ Sease Ltd, Apache Lucene/Solr Committer, Apache Solr PMC Member) Tutorial 3 – PM Simplifying NLP researchers work with Datafari Open Source * Julien Massiera (France Labs), Cedric Ulmer (France Labs) Tutorial 4 – Full Day Diverse Approaches to Systematic Searching * Farhad Shokraneh (Institute of Health Informatics, University College London) LOCATION Search Solutions is organised by the Information Retrieval Specialist Group of the BCS (The Chartered Institute for IT) and ISKO (International Society for Knowledge Organization), and is held at the BCS Central London Office: BCS, The Chartered Institute for IT Ground Floor 25 Copthall Avenue London EC2R 7BP https://www.bcs.org/more/about-us/hire-our-london-office/ REGISTRATION https://www.eventbrite.co.uk/e/search-solutions-2022-inc-tutorials-informat… Registration fees (including VAT at 20%) for Search Solutions are as follows: * BCS member rate: £92 * Non-member rate: £110 * Students: £80 Registration fees include lunch and a copy of the proceedings. Tea and coffee will also be available throughout the day followed by a drinks reception in the evening. Tutorials are payable separately. The registration fees for tutorials are as follows: * BCS member rate: £80 * Non-member rate: £95 * Students: £65 Organisers * Ingo Frommholz * Frank Hopfgartner * Udo Kruschwitz * Tony Russell-Rose * Martin White * Haiming Liu (tutorials chair) Contact For further details, contact irsg(a)bcs.org.uk

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Call for Submissions - MultiCoNER (SemEval-2023 Task 2)
by Sudipta Kar 06 Nov '22

06 Nov '22

We invite you to participate in SemEval-2023 Task 2: *Multi*lingual *Co* mplex *N*amed *E*ntity *R*ecognition (MultiCoNER) II. *Task Website:* https://multiconer.github.io/ This task focuses on the *fine-grained* detection of complex entities, such as movie, book, music and product titles, in low context settings (short and uncased text). The task provides data in 12 language. Here are some examples in different languages where entities are enclosed inside brackets with their type: - *English: [wes anderson | Artist]*'s film *[the grand budapest hotel | VisualWork]* opened the festival . - *Spanish:* fue superado por el [aon center | Facility] de [los ángeles | HumanSettlement] . - *Ukranian:* назва альбому походить з роману « *[кінець дитинства | WrittenWork]* » англійського письменника* [артура кларка | Artist]* . - *Swedish: [tom hamilton | Artist]* amerikansk musiker basist i *[aerosmith | MusicalGRP]* . - *Portuguese:* também é utilizado para se fazer *[licor | Drink]* e *[vinhos | Drink]*. - *Hindi:* १७९६ में उन्हें *[शाही स्वीडिश विज्ञान अकादमी | Facility]* का सदस्य चुना गया। - *French:* l *[amiral de coligny | Politician]* réussit à s y glisser . - *German:* in *[frühgeborenes | Disease]* führt dies zu *[irds | Symptom]* . - *Bangla [লিটল মিক্স | MusicalGrp]* এ যোগদানের আগে তিনি *[পিৎজা হাট | ORG]* এ ওয়েট্রেস হিসাবে কাজ করেছিলেন। - *Italian*: è conservato nel [rijksmuseum | Facility] di [amsterdam | HumanSettlement] . - *Chinese:* 它的纤维穿过 [锁骨 | AnatomicalStructure] 并沿颈部侧面倾斜向上和内侧. - *Farsi: *مرکزاین استان شهر [ناگویا |HumanSettlement] است Additionally, a *multilingual NER track* is also offered for multilingual systems that can process all languages. The task focuses on detecting semantically ambiguous and complex entities in short and low-context settings. Participants are welcome to build NER systems for any number of languages. And we encourage to aim for a bigger challenge of building NER systems for multiple languages. We have released training data for 12 languages along with a baseline system to start with. Participants can submit their system for one language but are encouraged to aim for a bigger challenge and build multi-lingual NER systems. *Task Website:* https://multiconer.github.io/ *Mailing List:* multiconer-semeval(a)googlegroups.com *Slack Workspace:* https://join.slack.com/t/multiconer/shared_invite/zt-vi3g97cx-MpqTvS07XX22S… *Training Data:* https://multiconer.github.io/dataset *Baseline System:* https://multiconer.github.io/baseline *Shared task schedule:* - Evaluation start: mid-January, 2022 - Evaluation end: by January 31, 2023 (latest date; task organizers may choose an earlier date) - System description paper submissions due: February 1, 2023 - Notification to authors: March 1, 2023 *Task organizers* - Shervin Malmasi (Amazon) - Besnik Fetahu (Amazon) - Sudipta Kar (Amazon) Please reach out to the organizers at multiconer-semeval-organizers(a)googlegroups.com, or join the Slack workspace to connect with the other participants and organizers. - Sudipta Kar Applied Scientist Amazon Alexa AI +1 8326437277 http://sudiptakar.info

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Deadline extended: ECIR 2023 Doctoral Consortium
by Esraa Ali 06 Nov '22

06 Nov '22

Hello All, We are happy to announce that deadlines for doctoral consortium submissions are extended, New dates for Doctoral Consortium Submission: - Expression of Interest: November 13, 2022, 11:59 (AoE) - DC Paper Submission: November 20, 2022, 11:59 pm (AoE) --------------------------------------------------------- The Doctoral Consortium (DC) at ECIR 2023 will provide a forum for PhD students in the field of Information Retrieval to present their research and thesis proposal to world-class senior researchers from academia and industry. Students will receive feedback on their work and have the opportunity to engage in detailed discussion with advisors through individual sessions. The DC also gives students an opportunity to meet and share their experiences of PhD research with other students at a similar stage of their studies. *We welcome submissions on any topic relevant to the general field of information retrieval,* including those mentioned in the Call for Full Papers for ECIR 2023. Example topics of interest include — but are not limited to — theory, experimentation, practice, applications and societal impacts of retrieval, recommendation, representation, management, and usage of textual, visual, audio, and multi-modal information. *All candidates planning a submission must submit a preliminary Expression of Interest by November 6, 2022. November 13, 2022.* Please find *updated* information and submission instructions : http://ecir2023.org/doctoral.html?v=1.11 . *Doctoral Consortium Chairs:* -Ashlee Edwards (Reddit, US) -Gareth Jones (Dublin City University, Ireland) Thank you! Esraa Ali, Ph.D. DCU Publicity officer, ECIR 2023 -- * *Séanadh Ríomhphoist/Email Disclaimer* *Tá an ríomhphost seo agus aon chomhad a sheoltar leis faoi rún agus is lena úsáid ag an seolaí agus sin amháin é. Is féidir tuilleadh a léamh anseo. <https://sites.google.com/view/seanadh-riomhphoist>* *This e-mail and any files transmitted with it are confidential and are intended solely for use by the addressee. Read more here. <https://sites.google.com/view/dcu-email-disclaimer>* * -- <https://www.facebook.com/DCU/> <https://twitter.com/DCU> <https://www.linkedin.com/company/dublin-city-university> <https://www.instagram.com/dublincityuniversity/?hl=en> <https://www.youtube.com/user/DublinCityUniversity>

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CMM Researcher in Data Science - Chile
by Felipe Bravo 05 Nov '22

05 Nov '22

Dear Colleagues The Center for Mathematical Modeling at University of Chile has just opened a position for a researcher in the area of data science. We are looking for someone with a PhD degree in related areas and experience in applied research and technology transfer. Details can be found at: https://go.cmm.uchile.cl/invdatos2022 We would be very grateful if you could help us disseminate this call among your colleagues, international networks, or by directly sending it to people who might be interested in the position. Best wishes Joaquin Fontbona CMM and DIM University of Chile

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Lectureship or Senior Lectureship in Natural Language Processing, University of Manchester, UK
by Paul Thompson 04 Nov '22

04 Nov '22

We offer a Lectureship or Senior Lectureship in Natural Language Processing at the Department of Computer Science at the University of Manchester, UK. The appointment will further strengthen the research profiles of the AI/NLP and text mining research groups at the University of Manchester and the growing activities in AI. We are looking for an outstanding candidate who has a vision for making a significant impact on NLP research and its applications. You should have major strengths in core natural language processing and deep learning with emphasis in one or more of these areas: natural language generation, explainable NLP, multimodal conversational AI, multimodal social media analysis etc, in various domains, including health, medicine, digital humanities, finance, etc. The successful candidate should have the following research profile: * Computer Science with emphasis in Natural Language Processing or equivalent relevant experience * Previous experience in research and development of NLP * Excellent knowledge of deep learning (e.g. generative models, weakly-supervised learning, transfer learning). * Familiarity with machine learning libraries (e.g. TensorFlow, PyTorch) and NLP libraries (e.g. spaCy, HuggingFace). * Knowledge and understanding of pre-trained language models (e.g. BERT and GPT) * Excellent English and academic writing skills. * Ability to conduct basic and independent research in NLP demonstrated by existing publications in journals and conferences such as ACL, EMNLP, NAACL, SIGIR, IJCAI, Coling, AAAI. * Demonstrate ability to write grant proposals. Salary: Lecturer £38,592 to £53,353 per annum, depending on experience Senior Lecturer £54,949 to £65,578 per annum, depending on experience Hours: Full time Duration: Permanent Location: Manchester, UK Closing date (DD/MM/YYYY): 30/11/2022 For further details and to apply, please visit: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=23776 -- Paul Thompson Research Fellow Department of Computer Science National Centre for Text Mining Manchester Institute of Biotechnology University of Manchester 131 Princess Street Manchester M1 7DN UK http://personalpages.manchester.ac.uk/staff/Paul.Thompson/

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PhD grant on Extracting information from clinical documents in a multilingual perspective
by Alberto Lavelli 04 Nov '22

04 Nov '22

*Extracting information from clinical documents in a multilingual perspective* *Deadline for application: November 28 2022, 13:00 CEST* One three-year PhD grant on Extracting information from clinical documents in a multilingual perspective is offered by the Doctoral Program in Brain, Mind & Computer Science (BMCS, http://hit.psy.unipd.it/BMCS) at the University of Padua, jointly with the Natural Language Processing research unit (https://ict.fbk.eu/units/nlp/) at Fondazione Bruno Kessler (Trento, Italy), where most of the research activities will be conducted. The language of the PhD programme is English. The deadline for application is: November 28 2022, 13:00 CEST For more information, the call, and applications look at: http://hit.psy.unipd.it/BMCS/admission The candidate will have the unique opportunity to explore different fields (Natural Language Processing, Machine Learning, Health & Well-Being) being directly coached by very experienced teammates. The involved PhD will work in an international environment at Fondazione Bruno Kessler (Trento, Italy). Fondazione Bruno Kessler is an internationally well-known research center, whose information technology department ranks first among the Engineering and Information Science research centers in Italy. The Natural Language Processing research unit (https://ict.fbk.eu/units/nlp/) is an internationally well known research group focused on text mining (information extraction and ontology population from text, analysis of the sentiment and of the emotional content of texts); conversational agents (task oriented dialogue systems, question answering, generation of persuasive messages); and development of linguistic resources, particularly for the Italian language. To get in contact with the NLP research unit and discuss about the opportunities of this call, contact Alberto Lavelli (lavelli(a)fbk.eu) The Doctoral Program in Brain, Mind & Computer Science (BMCS) emerges from the close collaboration between faculty from psychology, cognitive neuroscience and information science around the unifying topic of human-computer interaction. Its program rests on the assumption that the ability to work in groups with people of different background is now a fundamental condition to produce scientific excellence and to develop innovative skills that can be spent on the job market. ****Required/Preferred Candidate Skills and Competencies**** The candidate should possess basic knowledge on Natural Language Processing and Machine Learning techniques (particularly deep learning architectures). Experience on biomedical/clinical data will be a plus. Basic programming skills (e.g. Python) would complete the profile. Proficiency in English is required, basic knowledge of Italian preferable. ****Instructions for applicants**** Interested applicants are invited to apply following the instructions given in https://pica.cineca.it/unipd/dottorati38pnrr by November 28 2022, 13:00 CEST For further information, please contact: Alberto Lavelli (lavelli(a)fbk.eu) -- -- Le informazioni contenute nella presente comunicazione sono di natura privata e come tali sono da considerarsi riservate ed indirizzate esclusivamente ai destinatari indicati e per le finalità strettamente legate al relativo contenuto. Se avete ricevuto questo messaggio per errore, vi preghiamo di eliminarlo e di inviare una comunicazione all’indirizzo e-mail del mittente. -- The information transmitted is intended only for the person or entity to which it is addressed and may contain confidential and/or privileged material. If you received this in error, please contact the sender and delete the material.

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1st Call for Participation - CoLI-Kanglish: Word Level Language Identification in Code-mixed Kannada-English Texts
by Sabur B 03 Nov '22

03 Nov '22

*CoLI-Kanglish: Word Level Language Identification in Code-mixed Kannada-English Texts* CoLI-Kanglish shared task@ICON2022* URL: https://sites.google.com/view/kanglishicon2022/home Registration link: https://docs.google.com/forms/d/e/1FAIpQLSfFZR_5ugGKQnf2FYNIWnOh4rv6Bz6podD… The training and test set is now available. *Participants are invited to publish Working Notes of ICON 2022** *Task Description* The task of automatically identifying languages used in a given text is called Language Identification (LI). LI is a pre-processing step for many applications and LI at the word level can be viewed as a sequence labelling problem where every word in a sentence is tagged with either a mixed language or one of the languages in the predefined set of languages. Despite a lot of work being done in LI, the problem of LI in the code-mixed scenario is still a long way from being illuminated. India has a rich heritage of languages and Kannada is one of the Dravidian languages as well as the official language of Karnataka state. People of Karnataka read, write and speak Kannada but many find it difficult to use Kannada script to post messages or comments on social media. While technological limitations like keyboards of computers and smartphones are one reason, another reason may be the complexity of framing words with consonant conjuncts. Hence, most of the users use only Roman script or a combination of both Kannada and Roman script to post comments on social media. To address word level LI in code-mixed Kannada-English (Kn-En) texts, these texts are extracted from Kannada YouTube video comments to construct Code-mixed Language Identification (CoLI-Kenglish) dataset. We encourage participants to use the CoLI-Kenglish dataset which consists of English, Kannada and mixed language words, in Roman script and submit their methods to Kanglish shared task where each word will be identified and categorized in one of the predefined categories. *Important Dates* - 2nd November – Train and test datasets are released - 2nd November – Submission link release - 16th November – Run submission deadline - 22nd November – Working Note submission deadline - 25th November - Reviews Notifications - 1st December– Camera Ready Due - December 15th - 18th - ICON 2022 <https://www.google.com/url?q=https%3A%2F%2Flcs2.in%2FICON-2022%2Findex.html…> Conference *NOTE:* All dates mentioned here are in the Indian Time zone. *Organizers* Fazlourrahman Balouchzahi, Instituto Politecnico Nacional, Mexico Sabur Butt, Instituto Politecnico Nacional, Mexico Noman Ashraf, Dana-Farber Cancer Institute, Harvard Medical School, United States Asha Hegde, Department of Computer Science, Mangalore University, India Shashirekha Hosahalli Lakshmaiah, Department of Computer Science, Mangalore University, India Grigori Sidorov, Instituto Politecnico Nacional, Mexico Alexander Gelbukh, Instituto Politecnico Nacional, Mexico *Contact* Email: Kanglish2022(a)gmail.com *ICON 2022: https://www.lcs2.in/ICON-2022/index.html

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Final Call for Papers: Construction Grammars and NLP (CxGs+NLP) Workshop
by Harish Tayyar Madabushi 03 Nov '22

03 Nov '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 we 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. New for Final Call Submission link: https://openreview.net/group?id=georgetown.edu/GURT/2023/Conference Submission deadline (extended): November 15th, 2022 Invited speaker: Jonathan Dunn (Scroll down for details) *Final Call for Papers: Construction Grammars and NLP (CxGs+NLP) Workshop* November 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 We will have an invited speaker, Jonathan Dunn discussing the relation between Construction Grammars and NLP. 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. GURT Invited Speakers - Jonathan Dunn, University of Canterbury, New Zealand (CxGs+NLP) - Guy Perrier, Loria, France (Depling) - Joan Bresnan, Stanford University, USA (TLT) - Joakim Nivre, Uppsala University, Sweden (UDW) 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 GURT and CxGs+NLP website: https://sites.google.com/view/cxgsnlpworkshop

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Azimut Research Award
by fabio.massimo.zanzotto＠uniroma2.it 03 Nov '22

03 Nov '22

Deadline: December, 23rd 2022 Dear all, Read this important announcement! Azimut, a leading wealth management company in Europe, offers a Research Award to whoever can propose a solution to interpret old databases. Dinosaur databases are running the world! As relics of the early steps of the information era, these Databases are still the basis of many economic transactions. Although their age, it seems extremely difficult to replace them with novel and faster solutions. These databases were written in a wonderful era in which memory was a problem. Hence, variable names, table names, and column names were short and cryptic. Moreover, documents describing these names are buried in forgotten places if still exist. The challenge is, then, giving sense to these dinosaur databases to help software engineers to rediscover the sense of these databases to produce the novel version. Ready to apply? If not, and you want more info, Azimut is offering two Q&A video sessions: November 15th 2022 December 13th 2022 Register by sending an e-mail to: <mailto:info.ricerca@azimut.it> info.ricerca(a)azimut.it If yes, Azimut looks forward to your submission! More info at: <https://www.azimut.it/it/az-venture-tech-challenge> https://www.azimut.it/it/az-venture-tech-challenge

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