- Corpora - ELRA lists

2nd Call for Papers & Workshop Proposals, DRDHum 2024
by Michael Pace-Sigge 18 Mar '24

18 Mar '24

Dear colleagues, I hope you find this of interest and I hope you can pass it on to your colleagues and students. 2nd Call for Papers & Workshop Proposals 3rd Conference on Digital Data and Human Sciences (DRDHum 2024): Digital Research Data and Human Sciences in the Age of A.I. University of Eastern Finland, Joensuu campus https://sites.uef.fi/drd-hum-2024/ Important dates * Submission of oral presentations and posters: opens 07.02.2024 * Submission of oral presentations and posters: closes 15.3.2024 * Acceptance of abstracts: 01.05.2024 * Conference: 10.–12.12.2024 Today, there are many ways in which the human and social sciences use digital tools to investigate different aspects of human life and society. As the significance and use of digital resources continually expands into new fields of study, there are some disciplines which have already been working with digital methods for decades. This conference aims to present an overview of the current state of research in fields such as archival studies, cultural studies, history, linguistics, literature, performing and visual arts, philosophy where novel approaches are being made available through digital tools. The 2024 conference focusses on novel and innovative approaches to make use of digital applications, in particular in the light of the advent of machine learning and A.I. solutions. The Digital Research Data and Human Sciences (DRDHum 2024) conference aims to bring together researchers who have different areas of interest and expertise to discuss the themes of data compilation and management, and to share their knowledge and experience. We encourage contributions from researchers and research groups who have implemented interdisciplinary research to participate in the event. DRDHum 2024 is organized by the University of Eastern Finland. The first (D)RDHum Conference was hosted at the University of Oulu in 2019, where the focus was specifically on linguistic text corpora. The second conference, 2022 at the University of Jyväskylä was more expansive, looking at digital resources and technologies within the humanities and include multi-modal approaches. Submissions of individual papers, posters, and workshops are welcome but not limited to: Humanities and social research in the fields of e.g. o digital cultural, gender and ethnic studies o digital discourse analysis o digital history o digital literary studies o data-rich literary history o digital solutions in logopedics o digital media studies o digital pedagogies o spatial humanities o spoken and written linguistics Theoretical and methodological aspects of digital humanities and social studies, e.g. o computational and machine-learning systems o corpus-assisted and other corpus analyses o digital discourse analyses o Geographic Information Systems (GIS) o literary cartography o tools for digital data analysis Plenary speakers Professor Katherine Bode, Professor, Australian National University https://researchers.anu.edu.au/researchers/bode-k ARC Future Fellow, ANU College of Arts and Social Sciences Professor Anna Foka, Uppsala University, Sweden https://www.katalog.uu.se/profile/?id=N18-926 Professor at Department of ALM Professor Michaela Mahlberg, University of Birmingham, UK https://www.birmingham.ac.uk/staff/profiles/elal/mahlberg-michaela.aspx Department of English Language and Linguistics Chair in Corpus Linguistics Professor Tony McEnery, University of Lancaster, UK https://www.lancaster.ac.uk<https://www.lancaster.ac.uk/> Distinguished Professor Submission guidelines Authors are invited to submit an abstract for theoretical or empirical work of 250-400 words (excluding references), which should indicate the research questions, data and methods used, and give a brief indication of the results. Besides oral and poster presentations, the conference will be happy to be the venue for select thematic workshops. Workshops will address a particular topic within the general theme of the conference. The chair/s of the workshop will be required submit an abstract, maximum 500 words (excluding references) introducing the proposed topic, the aim of the event and the expected audience. These workshops must include a practical part, it is therefore essential that the maximum number of participants (and any particular requirements) is given in the proposal. These workshops must be, furthermore, open to conference participants only. A list of those workshops and tutorials which have been accepted will then be announced on the conference website. After this, submissions to the workshops or tutorials themselves can then be made, following further instructions that will have been given by the organizers. We therefore invite the following types of submissions: 1. Abstract for an oral presentation (20 min + 10 min for discussion) 2. Proposal for a workshop (2 hours in length) 3. Abstract for a poster presentation (A0) Please access the submission forms at: https://openreview.net/group?id=uef.fi/University_of_Eastern_Finland/DRDHum… (Please note that you will need to request an OpenReview registration if you do not already have one. We have been advised that this process might take up to two weeks.) We aim to organise the event on-site and in-person in Joensuu and plan to make the plenaries available online. For more information, please send inquiries to: drdhum2024(a)uef.fi<mailto:drdhum2024@uef.fi> On behalf of the organising committee- Dr Michael Pace-Sigge (he/him/his) Dr Michael Pace-Sigge (he/him/his) School of Humanities Dept. of English Language and Culture University of Eastern Finland Room 155 Agora Tel.+ 358 (0) 504423473 P.O. Box 111 FI-80101 Joensuu Finland https://orcid.org/0000-0002-5164-5242 https://sites.uef.fi/drd-hum-2024/

1 1

[Call for Participation] CL Fall School 2024
by Annette Hautli-Janisz 18 Mar '24

18 Mar '24

Call for Participation: Computational Linguistics Fall School 2024 Dates: September 16 - 27, 2024 Location: Passau, Germany Website: https://cl-fallschool-2024.github.io <https://cl-fallschool-2024.github.io/> ***************************************************************** The Computational Linguistics Fall School is a biennial event for Master and early PhD students in the humanities and computer science who want to broaden their knowledge of Computational Linguistics (CL) and Natural Language Processing (NLP). The focus lies on offering courses which are not traditionally taught in standard degree programs. This year we will offer 4 courses: Python for Language Processing (Jakob Prange, University of Augsburg) Multimodal CL and NLP: Combining Language and Vision for (Computational) Semantics (Carina Silberer, IMS Stuttgart) Argument Mining: From argument diagramming to automatic reconstruction of reasoning (John Lawrence, University of Dundee) Visual Analytics for Linguistics (Mennatallah El-Assady, ETH Zurich) Tuition fee: • Early bird fee: 100 EUR (non-students: 150 EUR) • Regular fee: 150 EUR (non-students: 200 EUR) The registration fee includes admission to all courses and events of the fall school and coffee breaks throughout the fall school. DGfS-CL and GSCL are going to award at least 5 grants of around 100–300 EUR to support participation in the fall school. The grant holders will be chosen on the basis of several criteria considering the need of support. Once we open registration, you are very welcome to fill out our grant application web form if you think you might be eligible. Registration will open in April 2024. Please check the website for more information. Contact: clfallschool2024(a)fim.uni-passau.de The CL Fall School 2024 is co-organized and -sponsored by DGfS-CL and GSCL.

1 0

Third Call for Task Proposals: SemEval-2025
by Semeval Organizers 17 Mar '24

17 Mar '24

We invite proposals for tasks to be run as part of SemEval-2025 <https://semeval.github.io/SemEval2025/>. SemEval (the International Workshop on Semantic Evaluation) is an ongoing series of evaluations of computational semantics systems, organized under the umbrella of SIGLEX <https://siglex.org/>, the Special Interest Group on the Lexicon of the Association for Computational Linguistics. SemEval tasks explore the nature of meaning in natural languages: how to characterize meaning and how to compute it. This is achieved in practical terms, using shared datasets and standardized evaluation metrics to quantify the strengths and weaknesses and possible solutions. SemEval tasks encompass a broad range of semantic topics from the lexical level to the discourse level, including word sense identification, semantic parsing, coreference resolution, and sentiment analysis, among others. For SemEval-2025 <https://semeval.github.io/SemEval2025/cft>, we welcome tasks that can test an automatic system for the semantic analysis of text (e.g., intrinsic semantic evaluation, or an application-oriented evaluation). We especially encourage tasks for languages other than English, cross-lingual tasks, and tasks that develop novel applications of computational semantics. See the websites of previous editions of SemEval to get an idea about the range of tasks explored, e.g. SemEval-2020 <http://alt.qcri.org/semeval2020/> and SemEval-2021-/2023/2024 <https://semeval.github.io/>. We strongly encourage proposals based on pilot studies that have already generated initial data, evaluation measures and baselines. In this way, we can avoid unforeseen challenges down the road which that may delay the task. For example, you may see this task proposal <https://semeval.github.io/semeval2024_shared_task6_proposals_template.pdf>as a sample. In case you are not sure whether a task is suitable for SemEval, please feel free to get in touch with the SemEval organizers at semevalorganizers(a)gmail.com to discuss your idea. === Task Selection === Task proposals will be reviewed by experts, and reviews will serve as the basis for acceptance decisions. Everything else being equal, more innovative new tasks will be given preference over task reruns. Task proposals will be evaluated on: - Novelty: Is the task on a compelling new problem that has not been explored much in the community? Is the task a rerun, but covering substantially new ground (new subtasks, new types of data, new languages, etc.)? - Interest: Is the proposed task likely to attract a sufficient number of participants? - Data: Are the plans for collecting data convincing? Will the resulting data be of high quality? Will annotations have meaningfully high inter-annotator agreements? Have all appropriate licenses for use and re-use of the data after the evaluation been secured? Have all international privacy concerns been addressed? Will the data annotation be ready on time? - Evaluation: Is the methodology for evaluation sound? Is the necessary infrastructure available or can it be built in time for the shared task? Will research inspired by this task be able to evaluate in the same manner and on the same data after the initial task? - Impact: What is the expected impact of the data in this task on future research beyond the SemEval Workshop? - Ethical: The data must be compliant with privacy policies. e.g. a) avoid personally identifiable information (PII). Tasks aimed at identifying specific people will not be accepted, b) avoid medical decision making (compliance with HIPAA, do not try to replace medical professionals, especially if it has anything to do with mental health) c) these are representative and not exhaustive === New Tasks vs. Task Reruns === We welcome both new tasks and task reruns. For a new task, the proposal should address whether the task would be able to attract participants. Preference will be given to novel tasks that have not received much attention yet. For reruns of previous shared tasks (whether or not the previous task was part of SemEval), the proposal should address the need for another iteration of the task. Valid reasons include: a new form of evaluation (e.g. a new evaluation metric, a new application-oriented scenario), new genres or domains (e.g. social media, domain-specific corpora), or a significant expansion in scale. We further discourage carrying over a previous task and just adding new subtasks, as this can lead to the accumulation of too many subtasks. Evaluating on a different dataset with the same task formulation, or evaluating on the same dataset with a different evaluation metric, typically should not be considered a separate subtask. === Task Organization === We welcome people who have never organized a SemEval task before, as well as those who have. Apart from providing a dataset, task organizers are expected to: - Verify the data annotations have sufficient inter-annotator agreement - Verify licenses for the data allow its use in the competition and afterwards. In particular, text that is publicly available online is not necessarily in the public domain; unless a license has been provided, the author retains all rights associated with their work, including copying, sharing and publishing. For more information, see: https://creativecommons.org/faq/#what-is-copyright-and-why-does-it-matter - Resolve any potential security, privacy, or ethical concerns about the data - Commit to make the data available after the task - Provide task participants with format checkers and standard scorers. - Provide task participants with baseline systems to use as a starting point (in order to lower the obstacles to participation). A baseline system typically contains code that reads the data, creates a baseline response (e.g. random guessing, majority class prediction), and outputs the evaluation results. Whenever possible, baseline systems should be written in widely used programming languages and/or should be implemented as a component for standard NLP pipelines. - Create a mailing list and website for the task and post all relevant information there. - Create a CodaLab or other similar competition for the task and upload the evaluation script. - Manage submissions on CodaLab or a similar competition site. - Write a task description paper to be included in SemEval proceedings, and present it at the workshop. - Manage participants’ submissions of system description papers, manage participants’ peer review of each others’ papers, and possibly shepherd papers that need additional help in improving the writing. - Review other task description papers. - Define Roles for each Organizer: - Lead Organizer - main point of contact, expected to ensure deliverables are met on time and participate in contributing to task duties (see below). - Co-Organizers - provide significant contributions to ensuring the task runs smoothly. Some examples include, maintaining communication with task participants, preparing data, creating and running evaluation scripts, and leading paper reviewing and acceptance. - Advisory Organizers - more of a supervisor role, may not contribute to detailed tasks but will provide guidance and support. === Important dates === - Task proposals due March 31, 2024 (Anywhere on Earth) - Task selection notification May 18, 2024 === Preliminary timetable === - Sample data ready July 15, 2024 - Training data ready September 1, 2024 - Evaluation data ready December 1, 2024 (internal deadline; not for public release) - Evaluation starts January 10, 2025 - Evaluation end by January 31, 2025 (latest date; task organizers may choose an earlier date) - Paper submission due February 2025 - Notification to authors on March 2025 - Camera-ready due April 2025 - SemEval workshop Summer 2025 (co-located with a major NLP conference) Tasks that fail to keep up with crucial deadlines (such as the dates for having the task and CodaLab website up and dates for uploading sample, training, and evaluation data) or that diverge significantly from the proposal may be cancelled at the discretion of SemEval organizers. While consideration will be given to extenuating circumstances, our goal is to provide sufficient time for the participants to develop strong and well-thought-out systems. Cancelled tasks will be encouraged to submit proposals for the subsequent year’s SemEval. To reduce the risk of tasks failing to meet the deadlines, we are unlikely to accept multiple tasks with overlap in the task organizers. === Submission Details === The task proposal should be a self-contained document of no longer than 3 pages (plus additional pages for references). All submissions must be in PDF format, following the ACL template <https://github.com/acl-org/acl-style-files>. Each proposal should contain the following: - Overview - Summary of the task - Why this task is needed and which communities would be interested in participating - Expected impact of the task - Data & Resources - How the training/testing data will be produced. Please discuss whether existing corpora will be re-used. - Details of copyright, so that the data can be used by the research community both during the SemEval evaluation and afterwards - How much data will be produced - How data quality will be ensured and evaluated - An example of what the data would look like - Resources required to produce the data and prepare the task for participants (annotation cost, annotation time, computation time, etc.) - Assessment of any concerns with respect to ethics, privacy, or security (e.g. personally identifiable information of private individuals; potential for systems to cause harm) - Pilot Task (strongly recommended) - Details of the pilot task - What lessons were learned and how these will impact the task design - Evaluation - The evaluation methodology to be used, including clear evaluation criteria - For Task Reruns - Justification for why a new iteration of the task is needed (see criteria above) - What will differ from the previous iteration - Expected impact of the rerun compared with the previous iteration - Task organizers - Names, affiliations, email addresses - (optional) brief description of relevant experience or expertise - (if applicable) years and task numbers, of any SemEval tasks you have run in the past - Role of each organizer Proposals will be reviewed by an independent group of area experts who may not have familiarity with recent SemEval tasks, and therefore all proposals should be written in a self-explanatory manner and contain sufficient examples. *The submission webpage is:* SemEval2025 Task Proposal Submission <https://openreview.net/group?id=aclweb.org/ACL/2024/Workshop/SemEval> ( https://openreview.net/group?id=aclweb.org/ACL/2024/Workshop/SemEval) For further information on this initiative, please refer to https://semeval.github.io/SemEval2025/cft === Chairs === Atul Kr. Ojha, Insight SFI Centre for Data Analytics, DSI, University of Galway A. Seza Doğruöz, Ghent University Giovanni Da San Martino, University of Padua Harish Tayyar Madabushi, The University of Bath Sara Rosenthal, IBM Research AI Aiala Rosá, Universidad de la República - Uruguay Contact: semevalorganizers(a)gmail.com

1 0

The 12th IEEE International Conference on Mobile Cloud Computing, Services and Engineering (IEEE Mobile Cloud 2024): Second Call for Papers
by Announce 16 Mar '24

16 Mar '24

*** Second Call for Papers *** IEEE Mobile Cloud 2024 The 12th IEEE International Conference on Mobile Cloud Computing, Services and Engineering July 15-18, 2024 | Shanghai, China https://ieeemobilecloud.com IEEE Mobile Cloud is a pioneering IEEE sponsored international conference devoted to the research in mobile, edge, and cloud computing. It covers all aspects of mobile, edge, and cloud computing from architectures, techniques, tools and methodologies to applications. This year's conference is scheduled to take place in Shanghai, China, from 15-18 July 2024. IEEE Mobile Cloud 2024 is part of the IEEE International Congress On Intelligent And Service- Oriented Systems Engineering offering a broad spectrum of international events, sharing renowned keynotes and fostering exchange among researchers and practitioners (see common homepage for all colocated events, https://ieee-cisose-congress.org). The fusion of mobile communications, computing, and intelligence is catalysing the emergence of innovative systems and applications that facilitate intelligent resource provisioning, process extensive data from mobile sensors and interconnected hardware platforms, and bolster the Internet of Things (IoT) through robust edge and cloud-based backend infrastructure. The pivotal role of current and forthcoming communication technologies, machine learning implementation, and mobile cloud infrastructures as facilitators for this convergence cannot be understated. These mobile intelligent applications are poised to revolutionise various facets of daily life, encompassing domains such as transportation, e-commerce, healthcare, smart homes, smart cities, social interaction, and more. Mobile intelligence serves as an inclusive platform for both academic and industrial researchers to share their latest research insights, experimental findings, and the latest advancements in industry technologies related to mobile systems, machine learning, edge and cloud computing, services, and engineering. Leveraging the synergy of mobile communications, machine intelligence, edge computing, and edge/cloud infrastructures, the future of Mobile Intelligence Systems is envisioned to provide a multitude of critical and personalised services across diverse application domains, ranging from education, transportation, to public health, safety, and security. Submissions will be evaluated on the criteria of originality, significance, clarity, relevance, and accuracy. TOPICS OF INTEREST They include but not limited to: Theory, Modelling, and Methodologies • Mobile cloud computing models, architectures, infrastructures, and platforms • Mobile intelligence theories, concepts, algorithms, and methodologies • Mobile cloud data management • Mobile cloud tools, middleware, and data centres • Mobile intelligence as a service • Mobile networking, protocols, and technologies • Quality of service (QoS) • Mobile intelligence security and privacy Applications and Industry Practice • Mobile intelligence for autonomous driving systems, V2X, intelligent transportation systems (ITS), telematics • Mobile intelligence for robotics, unmanned aerial vehicles (UAVs), and unmanned ground vehicles (UGVs) • Mobile intelligence for sensor networks, Industrial IoT, industrial 4.0, and industry 5.0 • Mobile intelligence for future wireless technologies, 5G/6G, WiFi, Satellite, etc. • Mobile intelligence for aviation, airports, and railway • Mobile intelligence for Augmented Reality/Virtual Reality (AR/VR) • Mobile intelligence for computer vision and video analytics • Mobile intelligence for surveillance and disaster management • Mobile intelligence for healthcare • Mobile intelligence for the metaverse • Mobile intelligence for smart city • Mobile intelligence for satellite • Mobile intelligence for mission-critical systems • Mobile intelligence for community services and social networking • Mobile intelligence computing for sustainable development PAPER SUBMISSION GUIDELINES Papers must be written in English. All papers must be prepared in the IEEE double column proceedings format. Please see the following link for details: https://www.ieee.org/conferences/publishing/templates.html . All accepted conference papers will be published by IEEE Computer Society and IEEE Explore digital library with EI-index. Selected papers will be recommended to SCI-index journals as special issue papers. The paper length should be up to 8 pages for regular conference papers and 6 pages for work-in-progress papers. Submitted papers should contain original work and not being submitted elsewhere. Each paper must be presented by an author at the conference. Presentations via teleconference are not permitted. Permissions to have the paper presented by a qualified substitute presented may be granted by the TCP Chairs under extraordinary circumstances, upon written request. Submissions should be made via Easy Chair using the following link: https://easychair.org/my/conference?conf=imc24 . IMPORTANT DATES • Abstract submission: March 31st, 2024 (AoE) • Paper submission: April 7th, 2024 (AoE) • Notification of acceptance: May 15th, 2024 • Final manuscript submission: May 22nd, 2024 • Author registration: May 22nd, 2024 • Conference: July 15th-18th, 2024 COMMITTEES General Chairs • Hiroyuki Sato, University of Tokyo, Japan • Yan Bai, University of Washington Tacoma, USA Program Chairs • Lan Zhang, Clemson University, USA • Sun Yao, The University of Glasgow, Scotland, UK • Tomoki Watanabe, Kanagawa Institute Technology, Japan • Fan Wu, Shanghai Jiao Tong University, China Publicity Chair George Angelos Papadopoulos, University of Cyprus, Cyprus Program Committee • Ouri Wolfson, University of illinois • Felix Beierle, University of Würzburg • Thomas Richter, Rhein-Waal University of Applied Sciences • Dan Grigoras, University College Cork • Sergio Ilarri, University of Zaragoza • Iulian Sandu Popa, University of Versailles Saint-Quentin & INRIA Saclay-Ile-de-France • Haiping Xu, University of Massachusetts Dartmouth • Prasad Calyam, University of Missouri • Dana Petcu, West University of Timisoara • Fabio Costa, Federal University of Goias • Cristian Borcea, New Jersey Institute of Technology • Lei Huang, Prairie View A&M University • Chunsheng Zhu, Southern University of Science and Technology • Xuyun Zhang, Macquarie University • Jia Zhao, Changchun Institute of Technology • Richard Han, University of Colorado Boulder CISOSE General Chairs • Jerry Gao, San Jose State University, USA • Iraklis Varlamis, Harokopio University of Athens, Greece CISOSE Steering Committee • Jerry Gao, San Jose State University, USA • Guido Wirtz, University of Bamberg, Germany • Huaimin Wang, NUDT, China • Jie Xu, University of Leeds, UK • Wei-Tek Tsai, Arizona State University, USA • Axel Kupper, TU Berlin, Germany • Hong Zhu, Oxford Brookes University, UK • Longbin Cao, University of Technology Sydney, Australia • Cristian Borcea, New Jersey Institute of Technology, USA • Sato Hiroyuki, University of Tokyo, Japan

1 0

Call for Abstracts: the 34th Meeting on Computational Linguistics in the Netherlands, Leiden University
by Wijnholds, G.J. (Gijs) 15 Mar '24

15 Mar '24

Dear colleague, We warmheartedly invite abstracts for 34th Meeting of Computational Linguistics in The Netherlands (CLIN34), that will take place in Leiden on Friday 30 August 2024. Abstracts describing work on any aspect of computational linguistics / natural language processing (finished or in progress), are welcome. Submissions must be written in English and must be submitted through this web form<https://docs.google.com/forms/d/1G2Ee1LUfQdmh2xQz8T46YcR1BXUMuB4q4iuAKq9sp8Q>. Please provide all information requested in the form. The submission deadline is May 15th 2023 and notifications of acceptance will be sent out on June 15th 2023. Authors of accepted abstracts will have the opportunity to submit a full paper after the conference to CLIN Journal. Please visit the CLIN34 website<https://clin34.leidenuniv.nl/> for more info on the event. We look forward to your abstract! The CLIN34 organizers Leiden University

1 0

March 2024 Newsletter - LDC
by Penn LDC 15 Mar '24

15 Mar '24

In this newsletter: LDC data and commercial technology development New publications: RATS Low Speech Density<https://catalog.ldc.upenn.edu/LDC2024S03> BabyEars Affective Vocalizations<https://catalog.ldc.upenn.edu/LDC2024S04> ________________________________ LDC data and commercial technology development For-profit organizations are reminded that an LDC membership is a pre-requisite for obtaining a commercial license to almost all LDC databases. Non-member organizations, including non-member for-profit organizations, cannot use LDC data to develop or test products for commercialization, nor can they use LDC data in any commercial product or for any commercial purpose. LDC data users should consult corpus-specific license agreements for limitations on the use of certain corpora. Visit the Licensing<https://www.ldc.upenn.edu/data-management/using/licensing> page for further information. ________________________________ New publications: RATS Low Speech Density<https://catalog.ldc.upenn.edu/LDC2024S03> was developed by LDC and is comprised of 87 hours of English, Levantine Arabic, Farsi, Pashto, and Urdu speech, and non-speech samples. The recordings were assembled by concatenating a randomized selection of speech, communications systems sounds, and silence. This corpus was created to measure false alarm performance in RATS speech activity detection systems. The source audio was extracted from RATS development and progress sets and consists of conversational telephone speech recordings collected by LDC. Non-speech samples were selected from communications systems sounds, including telephone network special information tones, radio selective calling signals, HF/VHF/UHF digital mode radio traffic, radio network control channel signals, two-way radio traffic containing roger beeps, and short duration shift-key modulated handset data transmissions. The goal of the RATS (Robust Automatic Transcription of Speech) program was to develop human language technology systems capable of performing speech detection, language identification, speaker identification, and keyword spotting on the severely degraded audio signals that are typical of various radio communication channels, especially those employing various types of handheld portable transceiver systems. 2024 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. * BabyEars Affective Vocalizations<https://catalog.ldc.upenn.edu/LDC2024S04> contains 22 minutes of spontaneous English speech by 12 adults interacting with their infant children, for a total of 509 infant-directed utterances and 185 adult-directed or neutral utterances. Speech data was collected in a quiet room during a one-hour session where each sparent was asked to play and otherwise interact normally with their infant (aged 10-18 months). A trained research assistant then extracted discrete utterances and classified them in three categories: approval, attention, and prohibition. 2024 members can access this corpus through their LDC accounts provided they have submitted a completed copy of the special license agreement. Non-members may license this data for a fee. To unsubscribe from this newsletter, log in to your LDC account<https://catalog.ldc.upenn.edu/login> and uncheck the box next to "Receive Newsletter" under Account Options or contact LDC for assistance. Membership Coordinator Linguistic Data Consortium<ldc.upenn.edu> University of Pennsylvania T: +1-215-573-1275 E: ldc(a)ldc.upenn.edu<mailto:ldc@ldc.upenn.edu> M: 3600 Market St. Suite 810 Philadelphia, PA 19104

1 0

[CFP] Workshop on Multimodal Semantic Representations
by Lucia Donatelli 15 Mar '24

15 Mar '24

FIRST CALL FOR PAPERS *Multimodal Semantic Representations (MMSR II)* Co-located with ECAI 2024 (https://www.ecai2024.eu/) 19-24 October, Santiago de Compostela, Spain (workshop on 19 or 20 October) *Workshop website*: https://mmsr-workshop.github.io/ *Description* The demand for more sophisticated natural human-computer and human-robot interactions is rapidly increasing as users become more accustomed to conversation-like interactions with AI and NLP systems. Such interactions require not only the robust recognition and generation of expressions through multiple modalities (language, gesture, vision, action, etc.), but also the encoding of situated meaning. When communications become multimodal, each modality in operation provides an orthogonal angle through which to probe the computational model of the other modalities, including the behaviors and communicative capabilities afforded by each. Multimodal interactions thus require a unified framework and control language through which systems interpret inputs and behaviors and generate informative outputs. This is vital for intelligent and often embodied systems to understand the situation and context that they inhabit, whether in the real world or in a mixed-reality environment shared with humans. Furthermore, multimodal large language models appear to offer the possibility for more dynamic and contextually rich interactions across various modalities, including facial expressions, gestures, actions, and language. We invite discussion on how representations and pipelines can potentially integrate such state-of-the-art language models. We solicit papers on multimodal semantic representation, including but not limited to the following topics: 1. Semantic frameworks for individual linguistic co-modalities (e.g. gaze, facial expression); 2. Formal representation of situated conversation and embodiment, including knowledge graphs, designed to represent epistemic state; 3. Design, annotation, and corpora of multimodal interaction and meaning representation; 4. Challenges (including cross-lingual and cross-cultural) in multimodal representation and/or processing; 5. Criteria or frameworks for evaluation of multimodal semantics; 6. Challenges in aligning co-modalities in formal representation and/or NLP tasks; 7. Design and implementation of neurosymbolic or fusion models for multimodal processing (with a representational component); 8. Methods for probing knowledge of multimodal (language and vision) models; 9. Virtual and situated agents that embody multimodal representations of common ground. *Submission Information* Two types of submissions are solicited: long papers and short papers. Long papers should describe original research and must not exceed 8 pages, excluding references. Short papers (typically system or project descriptions, or ongoing research) must not exceed 4 pages, excluding references. Accepted papers get an extra page in the camera-ready version. We strongly encourage students to submit to the workshop. *Important Dates* May 15, 2024: Submissions due June 1, 2024: Notification of acceptance decisions June 21, 2024: Camera-ready papers due Papers should be formatted using the ECAI style files, available at: https://www.ecai2024.eu/calls/main-track Papers will be submitted in PDF format via the chairing tool site, with a workshop link available soon: https://chairingtool.com/ Please do not hesitate to reach out with any questions. Best regards, Richard Brutti, Lucia Donatelli, Nikhil Krishnaswamy, Kenneth Lai, & James Pustejovsky (MMSR II organizers) Web page: https://mmsr-workshop.github.io/

1 0

Call application for female researchers at National Center of AI CHILE (CENIA)
by Felipe Bravo 15 Mar '24

15 Mar '24

The National Center for Artificial Intelligence (Cenia) invites female researchers interested in developing their postdoctoral research in AI topics to apply to be part of our center. By Cenia’s commitment to actively promote gender equity in artificial intelligence (AI) research, we have issued a call for applications for female researchers only. Researchers must have a PhD in Artificial Intelligence, Computer Science, Mathematics, Robotics, Computational Neuroscience, Physics, or related scientific areas. Applicants must have previous experience in AI, either working in AI or having knowledge of AI tools. A good level of English is highly recommended. The purpose of this position is to support the scientific activities of the center’s main research lines: *RL1 deep learning for vision and language:* new theories and methods to continue to unlock the potential of deep learning and create advanced cognitive systems focusing on vision and language. *RL2 neuro-symbolic AI:* integration of logic-probabilistic and deep learning-based AI, mutually invoking each other’s solutions, injecting and using semantics in deep learning. *RL3 AI inspired by brain:* bring together scientists from neuroscience, cognitive psychology, and AI to integrate knowledge about anatomical structures and cognitive operations of the brain to inspire AI research. *RL4 physics-based machine learning:* bring together mathematicians, physicists, and AI scientists to exploit knowledge from the physical sciences to develop machine learning models based on causal relationships. *RL5 Human-centered AI:* New technologies for a fair, safe and transparent use of AI in society, as well as methodologies to assess its impact on society. Promote new tools for interpretable and explainable AI. *Eligibility criteria:* Applicants must have a Ph.D. degree, research experience, and experience or expertise in the development or use of artificial intelligence tools. *Background information to be attached to the application:* 1. Complete updated CV. 2. Letter of interest (1 page): State the reasons for joining Cenia. 3. 2-year work proposal (maximum 2 pages): This proposal must be sponsored by a Cenia researcher of any category, i.e. Principal Investigator, Associate Researcher or Researcher of the center. The sponsor will support the applicant in his/her work. 4. Two letters of recommendation (free format). 5. Letter from the Sponsor (fixed format <https://docs.google.com/document/d/1YOtEH9bLhH3GZX_g__i2qqdCaiAYWS28/edit?r…> ). All the documentation required for the application must be sent to postdoc(a)cenia.cl, as well as any doubts or questions about the position that may arise at the time of application. The subject of the email should be: Postdoc application. *We invite you to apply until March 30, 2024.* *Estimated Process Periods* *Application Period:* - Starts: January 30. - Ends: March 30, 2024 until 23:59. *Evaluation of Applications:* - Document review: until April 20, 2024 *Request for Letters of Recommendation* - Deadline: April 22nd *Interviews with pre-selected candidates:* - Deadline: April 30 - Shortlisted candidates will be invited to interviews with the Review Committee to discuss in detail their research proposal and experience. *Announcement of Results:* - Deadline: May 15th *Start of employment*: - End of May or deadline to be agreed *The dates indicated are estimates and may change depending on the contingencies of the research center.* *Benefits:* - Full-time contract (44 hours/week) for one year extendable to a longer period. - Gross monthly salary of $2,482,000 CLP (~ equivalent to 2,700 USD). - Access to a stimulating research environment, excellent facilities and computing resources. - Full-time dedication to research development, with no teaching obligations. - Extra support and sponsorship when applying for complementary funding opportunities from the Chilean government. *Important information* These will be evaluated on a case-by-case basis for particular situations involving part-time. More details at: https://www.cenia.cl/en/2024/01/30/call-for-applications-for-female-postdoc/

1 0

Postdoctoral Position at National Center of AI CHILE (CENIA)
by Felipe Bravo 15 Mar '24

15 Mar '24

The National Center for Artificial Intelligence (Cenia), as part of its development plan 2024, invites applications for the position of Postdoc in AI and related areas. The applicant must have a PhD in topics related to Artificial Intelligence, Computer Science, Cognitive Robotics, Physics, Mathematics, Neuroscience, Data Science or related scientific areas. It is mandatory that applicants have previous experience in AI, either working in AI or having knowledge of AI tools. A good level of English is highly recommended. The purpose of this position is to support the scientific activities of the center’s main research lines: *RL1 deep learning for vision and language:* new theories and methods to continue to unlock the potential of deep learning and create advanced cognitive systems focusing on vision and language. *RL2 neuro-symbolic AI:* integration of logic-probabilistic and deep learning-based AI, mutually invoking each other’s solutions, injecting and using semantics in deep learning. *RL3 AI inspired by brain:* bring together scientists from neuroscience, cognitive psychology, and AI to integrate knowledge about anatomical structures and cognitive operations of the brain to inspire AI research. *RL4 physics-based machine learning:* bring together mathematicians, physicists, and AI scientists to exploit knowledge from the physical sciences to develop machine learning models based on causal relationships. *RL5 Human-centered AI:* New technologies for a fair, safe and transparent use of AI in society, as well as methodologies to assess its impact on society. Promote new tools for interpretable and explainable AI. *Eligibility criteria:* Applicants must have a Ph.D. degree, research experience, and experience or expertise in the development or use of artificial intelligence tools. *Background information to be attached to the application:* 1. Complete updated CV. 2. Letter of interest (1 page): State the reasons for joining Cenia. 3. 2-year work proposal (maximum 2 pages): This proposal must be sponsored by a Cenia researcher of any category, i.e. Principal Investigator, Associate Researcher or Researcher of the center. The sponsor will support the applicant in his/her work. 4. Two letters of recommendation (free format). 5. Letter from the Sponsor (fixed format <https://docs.google.com/document/d/1YOtEH9bLhH3GZX_g__i2qqdCaiAYWS28/edit?r…> ). All the documentation required for the application must be sent to postdoc(a)cenia.cl, as well as any doubts or questions about the position that may arise at the time of application. The subject of the email should be: Postdoc application. *Estimated process periods* *Application Period:* - Starts: February 22 - Ends: March 30, 2024 until 23:59. *Evaluation of Applications:* - Document review: until April 20, 2024 *Request for Letters of Recommendation* - Deadline: April 22nd *Interviews with pre-selected candidates:* - Deadline: April 30 - Shortlisted candidates will be invited to interviews with the Review Committee to discuss in detail their research proposal and experience. *Announcement of Results:* - Deadline: May 15th *Start of employment*: - End of May or deadline to be agreed *The dates indicated are estimates and may change depending on the contingencies of the research center.* *Benefits:* - Full-time contract (44 hours/week) for one year extendable to a longer period. - Gross monthly salary of $2,482,000 CLP (~ equivalent to 2,700 USD). - Access to a stimulating research environment, excellent facilities and computing resources. - Full-time dedication to research development, with no teaching obligations. - Extra support and sponsorship when applying for complementary funding opportunities from the Chilean government. *We invite you to apply until March 30, 2024.* More details at: https://www.cenia.cl/en/2024/02/23/call-for-application-artificial-intellig…

1 0

AIRiAL 2024 Call for Proposals
by Voss, Erik 15 Mar '24

15 Mar '24

**Apologies for cross-posting** *CALL FOR PROPOSALS* 2nd Annual Artificial Intelligence Research in Applied Linguistics (AIRiAL) Conference *Theme* AI in Education: Empowering Learners & Preparing Educators *Location* Teachers College, Columbia University *Dates* September 27-28, 2024 *Call for Proposals and submission site*: *https://n9.cl/airial24_cfp <https://n9.cl/airial24_cfp>* Submission deadline: *April 30, 2024* The AL & TESOL Language and Technology Research Group <https://sites.google.com/tc.columbia.edu/al-tesol-language-technology/home> in the Applied Linguistics & TESOL program at Teachers College will host the second annual Conference on Artificial Intelligence Research in Applied Linguistics (AIRiAL). The theme of this conference emphasizes the transformative role of artificial intelligence (AI) in education and language teaching focusing on AI literacy among learners and the preparedness of educators for the AI-driven future. We are interested in contributions that showcase AI technologies prioritizing human values, ethics, and the enhancement of human capabilities in the context of applied linguistics. Submissions may cover a wide array of topics within the scope AI literacy and applied linguistics, including but not limited to: - AI-driven language learning platforms - Adaptive language teaching methodologies - AI in language assessment and feedback - Ethical considerations in AI-driven language education - Personalized language learning experiences with AI - Integrating AI in language curriculum development - Teacher training for AI-enhanced language teaching - Innovative applications of AI in language education - Future directions of AI in language learning and teaching *Presentation Types* - Papers - Posters - Colloquia - Technology Demonstrations *Student Paper Award * An award will be presented to the best student paper presentation at the conference. All authors on student papers must be actively-enrolled graduate students at the time of the conference. -- Erik Voss, Ph.D. Assistant Professor, Applied Linguistics & TESOL program Language & Technology Specialization Department of Arts & Humanities Teachers College, Columbia University TC Faculty Profile <https://www.tc.columbia.edu/faculty/ev2449/>, Linkedin Profile <https://www.linkedin.com/in/erik-voss-ph-d-941a3ab9>, Google Scholar <https://scholar.google.com/citations?user=FMnVdjcAAAAJ&hl=en> ALTESOL Language & Technology Research Group <https://sites.google.com/tc.columbia.edu/al-tesol-language-technology/home> *Latest Publications* Voss, E. (2023). Proctoring remote language assessments <https://www.routledge.com/Fundamental-Considerations-in-Technology-Mediated…>. (Ch. 12) Routledge. TC Interview: How New Artificial Intelligence Tools Will Keep Changing Education <https://youtu.be/Zh1RB7DLRMI?si=vDIvowSnzrWy480P>(7:28 mins.) Voss, E. et al. (2023). The use of assistive technologies including generative AI by test takers in language assessment: A debate of theory and practice. <https://doi.org/10.1080/15434303.2023.2288256> LAQ Journal

1 0