- Corpora - ELRA lists

Final Call for Papers and Shared Task Participation (CASE @ EMNLP 2022): Challenges and Applications of Automated Extraction of Socio-political Events from Text
by ali hürriyetoglu 17 Aug '22

17 Aug '22

Apologies for cross-posting! ************************************************************************************ URL: https://emw.ku.edu.tr/case-2022/ Sep 7, 2022: Submission deadline on Softconf Jul 15, 2022: Latest ARR submission deadline for ARR Oct 2, 2022: Latest ARR commitment deadline Oct 9, 2022: Notification of Acceptance Oct 16, 2022: Camera-ready papers due Workshop dates: Dec 7-8, 2021 Location: Hybrid -> Abu Dhabi & Online Please see below for the important dates of the shared tasks. There are two options for submissions that are i) Softconf page of the workshop: https:// <https://www.softconf.com/m/icspcc2022> softconf.com/emnlp2022/case2022 and ii) ACL Rolling review (ARR): https://aclrollingreview.org/dates. ************************************************************************************ Nowadays, the unprecedented quantity of easily accessible data on social, political, and economic processes offers ground-breaking potential in guiding data-driven analysis in social and human sciences and in driving informed policy-making processes. Governments, multilateral organizations, and local and global NGOs present an increasing demand for high-quality information about a wide variety of events ranging from political violence, environmental catastrophes, and conflict, to international economic and health crises (Coleman et al. 2014; Porta and Diani, 2015) to prevent or resolve conflicts, provide relief for those that are afflicted, or improve the lives of and protect citizens in a variety of ways. Black Lives Matter protests (http://protestmap.raceandpolicing.com) and conflicts in Syria ( https://www.cartercenter.org/peace/conflict_resolution/syria-conflict-resol…) are only two examples where we must understand, analyze, and improve real-life situations using such data. Finally, these efforts respond to “growing public interest in up-to-date information on crowds” as well ( https://sites.google.com/view/crowdcountingconsortium/faqs). Event extraction has long been a challenge for the natural language processing (NLP) community as it requires sophisticated methods in defining event ontologies, creating language resources, domain specific grammars, developing Machine Learning models and other algorithmic approaches for various event-detection- specific tasks, such entity detection, semantic labeling, event classification and clustering and others (Pustojevsky et al. 2003; Boroş, 2018; Chen et al. 2021). Social and political scientists have been working to create socio-political event (SPE) databases such as ACLED, EMBERS, GDELT, ICEWS, MMAD, PHOENIX, POLDEM, SPEED, TERRIER, and UCDP following similar steps for decades. These projects and the new ones increasingly rely on machine learning (ML), deep learning (DL), and NLP methods to deal better with the vast amount and variety of data in this domain (Hürriyetoğlu et al. 2020). Unfortunately, automated approaches suffer from major issues like bias, limited generalizability, class imbalance, training data limitations, and ethical issues that have the potential to affect the results and their use drastically (Lau and Baldwin 2020; Bhatia et al. 2020; Chang et al. 2019). Moreover, the results of the automated systems for SPE information collection have neither been comparable to each other nor been of sufficient quality (Wang et al. 2016; Schrodt 2020). SPEs are varied and nuanced. Both the political context and the local language used may affect whether and how they are reported. We invite contributions from researchers in computer science, NLP, ML, DL, AI, socio-political sciences, conflict analysis and forecasting, peace studies, as well as computational social science scholars involved in the collection and utilization of SPE data. Academic workshops specific to tackling event information in general or for analyzing text in specific domains such as health, law, finance, and biomedical sciences have significantly accelerated progress in these topics and fields, respectively. However, there has not been a comparable effort for handling SPEs. We fill this gap. We invite work on all aspects of automated coding and analysis of SPEs and events in general from mono- or multi-lingual text sources. This includes (but is not limited to) the following topics 1) Extracting events in and beyond a sentence, event coreference resolution, 2) New datasets, training data collection, and annotation for event information, 3) Event-event relations, e.g., subevents, main events, causal relations, 4) Event dataset evaluation in light of reliability and validity metrics, 5) Defining, populating, and facilitating event schemas and ontologies, 6) Automated tools and pipelines for event collection related tasks, 7) Lexical, syntactic, discursive, and pragmatic aspects of event manifestation, 8) Methodologies for development, evaluation, and analysis of event datasets, 9) Applications of event databases, e.g. early warning, conflict prediction, policymaking, 10) Estimating what is missing in event datasets using internal and external information, 11) Detection of new SPE types, e.g. creative protests, cyberactivism, COVID19 related, 12) Release of new event datasets, 13) Bias and fairness of the sources and event datasets, 14) Ethics, misinformation, privacy, and fairness concerns pertaining to event datasets, and 15) Copyright issues on event dataset creation, dissemination, and sharing. 16) We encourage submissions of new system description papers on our available benchmarks (ProtestNews @ CLEF 2019, AESPEN @ LREC 2020, and CASE @ 2021). Please contact the organizers if you would like to access the data. The proceedings of the previous editions should be indicative of what we cover: ProtestNews @ CLEF 2019 (http://ceur-ws.org/Vol-2380/), AESPEN @ ACL 2020 (https://aclanthology.org/volumes/2020.aespen-1/), CASE @ ACL-IJCNLP 2021 (https://aclanthology.org/volumes/2021.case-1/). **** Shared tasks **** Task 1- Multilingual protest news detection: This is the same shared task organized at CASE 2021 (For more info: https://aclanthology.org/2021.case-1.11/) But this time there will be additional data and languages at the evaluation stage. Contact person: Ali Hürriyetoğlu (ali.hurriyetoglu(a)gmail.com). Github: https://github.com/emerging-welfare/case-2022-multilingual-event Task 2- Automatically replicating manually created event datasets: The participants of Task 1 will be invited to run the systems they will develop to tackle Task 1 on a news archive (For more info https://aclanthology.org/2021.case-1.27/). Contact person: Hristo Tanev ( htanev(a)gmail.com). Github: https://github.com/emerging-welfare/case-2022-multilingual-event Task 3- Event causality identification: Causality is a core cognitive concept and appears in many natural language processing (NLP) works that aim to tackle inference and understanding. We are interested to study event causality in news, and therefore, introduce the Causal News Corpus. The Causal News Corpus consists of 3,559 event sentences, extracted from protest event news, that have been annotated with sequence labels on whether it contains causal relations or not. Subsequently, causal sentences are also annotated with Cause, Effect, and Signal spans. Our two subtasks (Sequence Classification and Span Detection) work on the Causal News Corpus, and we hope that accurate, automated solutions may be proposed for the detection and extraction of causal events in news. Contact person: Fiona Anting Tan (tan.f(a)u.nus.edu). Github: https://github.com/tanfiona/CausalNewsCorpus **** Deadlines for the Shared tasks **** ** Task 1 & 2: Training data available: The training data from CASE 2021 is used. New test data available: Sept 15, 2022 Test end: Sep 25, 2022 System Description Paper submissions due: Oct 2, 2022 Notification to authors after review: Oct 09, 2022 Camera-ready: Oct 16, 2022 ** Task 3: Training data available: Apr 15, 2022 Validation data available: Apr 15, 2022 Validation labels available: Aug 01, 2022 Test data available: Aug 01, 2022 Test start: Aug 01, 2022 Test end: extended from Aug 15 to Aug 31, 2022 System Description Paper submissions due: Sep 07, 2022 Notification to authors after review: Oct 09, 2022 Camera ready: Oct 16, 2022 *** Keynotes *** Three prominent scholars have accepted our invitation as keynote speakers: i) J. Craig Jenkins (https://sociology.osu.edu/people/jenkins.12) is Academy Professor Emeritus of Sociology at The Ohio State University. He directed the Mershon Center for International Security Studies from 2011 to 2015 and is now senior research scientist. ii) Scott Althaus (https://pol.illinois.edu/directory/profile/salthaus) is Merriam Professor of Political Science, Professor of Communication, and Director of the Cline Center for Advanced Social Research at the University of Illinois Urbana-Champaign. iii) Thien Huu Nguyen (https://ix.cs.uoregon.edu/~thien/) is an assistant professor in the Department of Computer and Information Science at the University of Oregon. Thien is the director of the NSF IUCRC Center for Big Learning (CBL) at the University of Oregon. **** Submissions ***** This call solicits short and long papers reporting original and unpublished research on the topics listed above. The papers should emphasize obtained results rather than intended work and should indicate clearly the state of completion of the reported results. The page limits and content structure announced at ACL ARR page (https://aclrollingreview.org/cfp) should be followed for both short and long papers. Papers should be submitted on the START page of the workshop ( http://softconf.com/emnlp2022/case2022) or on ARR page (TBA on the workshop website) in PDF format, in compliance with the ACL publication author guidelines for ACL publications https://acl-org.github.io/ACLPUB/formatting.html The reviewing process will be double-blind and papers should not include the author's names and affiliations. Each submission will be reviewed by at least three members of the program committee. The workshop proceedings will be published on ACL Anthology.

1 0

Postdoc or PhD Position in Fairness-aware Learning to Rank at the University of Amsterdam
by Andrew Yates 16 Aug '22

16 Aug '22

The IRLab at the University of Amsterdam (https://irlab.science.uva.nl/) seeks a postdoc or PhD student to work on fairness-aware learning to rank. Algorithmic hiring is on the rise and rapidly becoming necessary in some sectors, but these systems run the risk of reproducing and amplifying discriminatory biases. In the context of the interdisciplinary FINDHR EU project on Fairness and Intersectional Non-Discrimination in Human Recommendation, the successful postdoc or PhD student will design and evaluate fairness-aware ranking algorithms. In contrast with fairness-aware ranking in contexts where click feedback is immediate, the algorithmic hiring use case raises new challenges of learning from delayed rewards, leveraging complex feedback, and supporting optional positive actions. Interested candidates are invited to apply by 25 August, 2022. For more details and to apply, see https://vacatures.uva.nl/UvA/job/Postdoctoral-Researcher-or-PhD-Position-in… Our team has a strong collaborative and collegial atmosphere. We strongly encourage applications coming from a unique perspective. Tell us how your background fits with the focus of this position, even if your profile is slightly different from the profile / requirements written in the official vacancy text linked to above. In August 2022, our team will move into a brand new, sustainable, energy-neutral, and circular building in Amsterdam Science Park. Come and join us!

1 0

Final CfP Third workshop on Resources for African Indigenous Language (RAIL)
by Menno Van Zaanen 16 Aug '22

16 Aug '22

Final call for papers Third workshop on Resources for African Indigenous Language (RAIL) https://bit.ly/rail2022 The South African Centre for Digital Language Resources (SADiLaR) is organising the 3rd RAIL workshop in the field of Resources for African Indigenous Languages. This workshop aims to bring together researchers who are interested in showcasing their research and thereby boosting the field of African indigenous languages. This provides an overview of the current state-of-the-art and emphasizes availability of African indigenous language resources, including both data and tools. Additionally, it will allow for information sharing among researchers interested in African indigenous languages and also start discussions on improving the quality and availability of the resources. Many African indigenous languages currently have no or very limited resources available and, additionally, they are often structurally quite different from more well-resourced languages, requiring the development and use of specialized techniques. By bringing together researchers from different fields (e.g., (computational) linguistics, sociolinguistics, language technology) to discuss the development of language resources for African indigenous languages, we hope to boost research in this field. The RAIL workshop is an interdisciplinary platform for researchers working on resources (data collections, tools, etc.) specifically targeted towards African indigenous languages. It aims to create the conditions for the emergence of a scientific community of practice that focuses on data, as well as tools, specifically designed for or applied to indigenous languages found in Africa. Suggested topics include the following: * Digital representations of linguistic structures * Descriptions of corpora or other data sets of African indigenous languages * Building resources for (under resourced) African indigenous languages * Developing and using African indigenous languages in the digital age * Effectiveness of digital technologies for the development of African indigenous languages * Revealing unknown or unpublished existing resources for African indigenous languages * Developing desired resources for African indigenous languages * Improving quality, availability and accessibility of African indigenous language resources The 3rd RAIL workshop 2022 will be co-located with the 10th Southern African Microlinguistics Workshop ( https://sites.google.com/nwulettere.co.za/samwop-10/home). This will be an in-person event located in Potchefstroom, South Africa. Registration will be free. RAIL 2022 submission requirements: * RAIL asks for full papers from 4 pages to 8 pages (plus more pages for references if needed), which must strictly follow the Journal of the Digital Humanities Association of Southern Africa style guide ( https://upjournals.up.ac.za/index.php/dhasa/libraryFiles/downloadPublic/30 ). * Accepted submissions will be published in JDHASA, the Journal of the Digital Humanities Association of Southern Africa ( https://upjournals.up.ac.za/index.php/dhasa/). * Papers will be double blind peer-reviewed and must be submitted through EasyChair (https://easychair.org/my/conference?conf=rail2022). Important dates Submission deadline: 28 August 2022 Date of notification: 30 September 2022 Camera ready copy deadline: 23 October 2022 RAIL: 30 November 2022, North-West University - Potchefstroom SAMWOP: 1 – 3 December 2022, North-West University - Potchefstroom Organising Committee Jessica Mabaso Rooweither Mabuya Muzi Matfunjwa Mmasibidi Setaka Menno van Zaanen South African Centre for Digital Language Resources (SADiLaR), South Africa -- Prof Menno van Zaanen menno.vanzaanen(a)nwu.ac.za Professor in Digital Humanities South African Centre for Digital Language Resources https://www.sadilar.org ________________________________ NWU CORONA VIRUS: http://www.nwu.ac.za/coronavirus/ NWU PRIVACY STATEMENT: http://www.nwu.ac.za/it/gov-man/disclaimer.html DISCLAIMER: This e-mail message and attachments thereto are intended solely for the recipient(s) and may contain confidential and privileged information. Any unauthorised review, use, disclosure, or distribution is prohibited. If you have received the e-mail by mistake, please contact the sender or reply e-mail and delete the e-mail and its attachments (where appropriate) from your system. ________________________________

1 0

3-year Research Associate (post-doc) position at The University of Sheffield, UK
by Carol Scarton 15 Aug '22

15 Aug '22

Dear all, We are hiring a Research Associate (post-doc) to work in the area of natural language processing and machine learning, and more specifically analysis of online misinformation. The main focus of the post-holder will be research on explainable machine learning methods for detection and analysis of online misinformation. This post is for 3 years and the expected start is November 2022 (or shortly after). The deadline for application is 1st of September. More information: https://www.jobs.ac.uk/job/CSF074/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: Propaganda Detection in Arabic Shared Task (WANLP-7 - EMNLP 2022)
by Wajdi Zaghouani 15 Aug '22

15 Aug '22

****Apologies for Cross Posting ***** Dear colleagues, you are invited to submit a system paper for the first Propaganda Detection in Arabic shared task held with the 7th Arabic Natural Language Processing Workshop (WANLP 2022) co-located with the EMNLP2 022 Conference in Abu Dhabi (Dec 7, 2022). https://sites.google.com/view/propaganda-detection-in-arabic/ Tasks Subtask 1: Given only the “text” of a Tweet, identify which of the 20 techniques (https://propaganda.qcri.org/annotations/definitions.html) are used in it. This is a multilabel classification problem. Subtask 2: Given only the “text” of a Tweet, identify which of the 20 techniques (https://propaganda.qcri.org/annotations/definitions.html) are used in it together with the span(s) of text covered by each technique. This is a sequence tagging task Important Dates July 24, 2022: Release of training, dev and dev-test data, and evaluation scripts. September 10, 2022: Registration deadline. September 10, 2022: Release of test data (and final training and dev data). September 15, 2022: End of the evaluation cycle (test set submission closes) September 20, 2022: Results released October 5, 2022: System description paper submissions due. October 15, 2022: Notification of acceptance. October 31, 2022: Camera-ready versions due. December 7, 2022: WANLP 2022 workshop at EMNLP in Abu Dhabi Lab Registration Please register here: https://shorturl.at/ftuz9 Datasets The Datasets are hosted on the Gitlab repository: https://gitlab.com/arabic-nlp/propaganda-detection/ Organizers Firoj Alam, Qatar Computing Research Institute, HBKU Hamdy Mubarak, Qatar Computing Research Institute, HBKU Wajdi Zaghouani, HBKU Preslav Nakov, Qatar Computing Research Institute, HBKU Giovanni Da San Martino, University of Padova ---- *Wajdi Zaghouani, Ph.D.* *Assistant Professor* College of Humanities and Social Sciences P.O. Box 34110 | Education City | Doha, Qatar tel: +974 4454 5601 | mob: +974 33454992 wzaghouani(a)hbku.edu.qa| Office A141, LAS Building

1 0

Tools for transliteration
by Maria Guzenko 15 Aug '22

15 Aug '22

Dear all, As part of my research, I am looking for a (preferably Python) library that will take Hebrew text and transliterate it phonetically either to Latin characters, IPA, or Cyrillic characters. (This will be used in a tokenizer; I am happy to share details privately if someone would like to learn more about my project.) I have already found a solution for restoring the vowels (nikud) in Hebrew text, so that's not an issue. The ideal case would be to something similar to https://www.alittlehebrew.com/transliterate/ or (less ideal, because it uses non-IPA symbols and is not in Python) https://github.com/charlesLoder/hebrew-transliteration. To avoid flooding the mailing list, feel free to email me directly at mguzenko(a)outlook.com<mailto:mguzenko@outlook.com>. Thank you. Best, Maria Guzenko MA Candidate in Technology for Translation and Interpreting

1 0

Reminder: Workshop on Pronouns and Machine Translation
by Gongbo Tang 15 Aug '22

15 Aug '22

Dear colleagues, We are delighted to invite you to our public Workshop on Pronouns and Machine Translation, which will be held on-line on 19 August 2022. The workshop features a series of lectures on recent work related to understanding, modelling and evaluating pronouns and other discourse-level phenomena in neural machine translation and a panel discussion. Here is the link to the workshop: https://christianhardmeier.rax.ch/workshop/pronouns-and-mt-2022/ **Registration** Registration is free. Please sign up with the following link: https://uu-se.zoom.us/meeting/register/u50rd-qgrjoiGtK8YvlWZ1hecbzHsxp9oBRa Program: Time (UTC+2) Speaker 11:00-11:45 Sheila Castilho, ADAPT Centre, Dublin City University 11:45-12:30 Deyi Xiong, Tianjin University 12:30-13:00 Kayo Yin, DeepMind/UC Berkeley 13:00-13:30 Prathyusha Jwalapuram, Nanyang Technological University 13:30-14:00 Panel discussion 14:00-14:30 Break 14:30-15:00 Christian Hardmeier, Uppsala University/IT University of Copenhagen 15:00-15:30 Gongbo Tang, Uppsala University 15:30-16:00 Biao Zhang, University of Edinburgh Best Regards, Christian Hardmeier and Gongbo Tang När du har kontakt med oss på Uppsala universitet med e-post så innebär det att vi behandlar dina personuppgifter. För att läsa mer om hur vi gör det kan du läsa här: http://www.uu.se/om-uu/dataskydd-personuppgifter/ E-mailing Uppsala University means that we will process your personal data. For more information on how this is performed, please read here: http://www.uu.se/en/about-uu/data-protection-policy

1 0

NLP challenge at CERIST Algeria
by nlpchallenge 2022 14 Aug '22

14 Aug '22

CERISTNlp Challenge 2022 Natural Language Processing (NLP) is at the core of most information processing tasks. It has long history in computer science and it has always been a central discipline of Artificial Intelligence. Recently, with the availability of data and the development of processing technologies (such as GPUs, TPUs, ...), we witness a great increasing success of machine and deep learning algorithms, which has marked the renewal of AI and opened its new era. The success of deep learning algorithms in general and transformers in particular has greatly boosted NLP tasks and changed the landscape of the field with has never been fruitful as today both in the monolingual and the multilingual dimension. In this context, CERIST proposes this NLP challenge to students and teams to solve some hot topic specific tasks. These tasks deal with scientific information and social networks information, we'll provide training and test datasets and we expect from teams to propose deep learning approaches to solve the tasks. A form will be available online for registration. Tasks are described bellow: (www.nlpchallenge.cerist.dz) Task1: Opinion mining and Sentiment Analysis. - 1. task1.a. Arabic Sentiment Analysis and Opinion Mining in book reviews. 2. task1.b. Multilingual Sentiment Analysis in twitter (with Arabic). 3. task1.c. Arabic sentiment analysis and fake news detection within covid-19. 4. task.d. Arabic hate speech and offensive language detection on social networks. - Task2: Information Retrieval 1. task2.a. Scientific paper classification. - English (monolingual). - Arabic (monolingual). 2. task2.b. Covid-19 literature classification. 3. task2.c. Automatic text summarization (Arabic and English) 4. task2.d. Covid- 19 Information Retrieval. - Dates : 1. Deadline for team registration : August 30th 2022 2. Data avalability : From july 31th, 2022 3. Deadline for project and papier submission: November 05th, 2022 Contact : - nlpchallenge(a)cerist.dz

1 0

New Europhras’2022 website / extended early bird registration until 9 September 2022
by Plum, Alistair J. 14 Aug '22

14 Aug '22

We are delighted to announce the new website of the forthcoming Europhras’2022 conference http://europhras.com/2022/<https://url6.mailanyone.net/scanner?m=1oMbs8-0000Jg-4O&d=3%7Cmail%2F14%2F16…> May we also take the opportunity to invite you to view the list of accepted papers at the conference http://europhras.com/2022/accepted-papers/<https://url6.mailanyone.net/scanner?m=1oN3E8-000A3w-4H&d=3%7Cmail%2F14%2F16…> The early bird registration has been extended to 9 September 2022 Later in the month the list of the accepted papers at the workshop ‘Multiword units in Machine Translation and Translation Technology’ will be announced. We look forward to welcoming you in Malaga. Europhras 2022 Organising Committee -----------------------------------------

1 0

Workshop on NLP for Positive Impact: Submission Deadline Extended (now Sep 7)
by Joel Tetreault 13 Aug '22

13 Aug '22

(apologies for cross-posting) The Workshop on NLP for Positive Impact <https://sites.google.com/view/nlp4positiveimpact> has now gotten extra. The deadline has been shifted to *September 7* allowing more time to prepare your positively wonderful submissions in this space. On Mon, Aug 8, 2022 at 12:24 AM Joel Tetreault <tetreaul(a)gmail.com> wrote: > (apologies for cross-posting) > > > Workshop website: https://sites.google.com/view/nlp4positiveimpact > > Submission website: > https://softconf.com/emnlp2022/NLPforPositiveImpact2022/ > > Important Dates > > - > > (Submission channel 1) Latest submission deadline to Softconf: Aug 15, > 2022 > - > > (Submission channel 2; alternative) Latest ARR commitment deadline: > Oct 2, 2022 (As the ARR site explains, authors can commit to venues when > they have their reviews and meta-reviews. By Oct 2, you need to "commit" > your ARR paper through Softconf, as in EMNLP 2022). > - > > Notification of Acceptance: Oct 9, 2022 > - > > Camera-Ready Papers Due: Oct 16, 2022 > - > > Workshop Date: Dec 7, 2022 > > All deadlines are 11:59 PM (Anywhere on Earth > <https://www.timeanddate.com/time/zones/aoe>) > > Summary > > The widespread and indispensable use of language-oriented AI systems > presents new opportunities to have a positive social impact. NLP > technologies are starting to mature to the point where they could have an > even broader impact, supporting the UN sustainability goals > <https://sdgs.un.org/goals> by helping to address big problems such as > poverty, hunger, healthcare, education, inequality, COVID-19 and climate > change. > > Our workshop aims to promote innovative NLP research that will positively > impact society, focusing on responsible methods and new applications. We > will encourage submissions from areas including (but not limited to): > > - > > Work that grounds the impact of NLP: Beyond developing a > better-performing NLP model, can we make a step further to connect the > model to actual social impact? Example directions include: case > studies of real-world deployments; or improving the deployment and > maintenance of NLP models in practice. > > In addition to commonly recognized NLP for social good areas such as > NLP for healthcare, mental well-being, and many others, we also call for work > on neglected areas such as NLP for poverty, hunger, energy, climate change, > among others. > > We also highly value work that builds on interdisciplinary expertise, > and encourage submissions of case studies or worked examples that seek to > expand the social impact of NLP through collaboration with other fields > (e.g., philanthropy, social science, political science, economics, HCI). > > > - > > Work that guides researchers in NLP for Social Good: Can we provide > insights and guidance to the field? Example directions include: measures > of social impact; automatic identification of various social needs, their > corresponding sizes and demographics of people affected; position papers to > propose promising new tasks or directions that the field should pursue; > literature review of a subfield; philosophical discussions of what social > good is; approaches to interdisciplinary collaboration; user study designs, > user surveys; ethical considerations, and other related topics. > > > > Note that we want submissions to our workshop to have some distinctive > features of social good implications, beyond a general paper on NLP. We > will require each submission to discuss the ethical and societal > implications of their work, and encourage a discussion of what "positive > impact" means in the work. > > Organizers > > - > > Zhijing Jin (Max Planck Institute & ETH Zurich) > - > > Laura Biester (University of Michigan) > - > > Dora Demszky (Stanford University) > - > > Mrinmaya Sachan (ETH Zurich) > - > > Joel Tetreault (Dataminr, Inc.) > - > > Steven Wilson (Oakland University) > - > > Lu Xiao (Syracuse University) > - > > Jieyu Zhao (University of Maryland, College Park) > > > Contact Email > > - > > nlp4pi.workshop(a)gmail.com > >

1 0

2026

2025

2024

2023

2022

Corpora