- Corpora - ELRA lists

Visualizing graphs of words as nodes from text lines (not just adjacency pairs) ...
by Albretch Mueller 09 Jun '23

09 Jun '23

I could imagine, as John Lennon used to sing, that "I am not the only one" in need of such an application. At times you get ten of thousand lines which you would like to quickly “visually parse” to gain a general sense of what you've got. Ideally, you should be able to play with it to select the records you need. Think for example, of the many links to texts you would get from archive.org (which also includes some metadata) or *.pub (each site using their own quirkiness) Based on some sort of GUI, you would see weighted terms (coloured or not based on a user's preference) with all other terms preceding (as some sort of tree-like structure confluent on that term) and following it ( ... branching off of it). Which kind of applications people use to do such thing? lbrtchx

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FInCausal 2023 Shared Task: Call for Participation (English & Spanish)
by FinCausal 2023 08 Jun '23

08 Jun '23

Call for Participation: *FinCausal-2023 Shared Task: “Financial Document Causality Detection” *is organised within the *5th Financial Narrative Processing Workshop (FNP 2023)* taking place in the 2023 IEEE International Conference on Big Data (IEEE BigData 2023) <http://bigdataieee.org/BigData2023/>, Sorrento, Italy, 15-18 December 2023. It is a *one-day event*. The exact date is to be announced. Important Dates: - Call for participation and registration: 3rd June 2023 - Registration deadline: 28 June - Training set release: 29 June 2023 - Test set release: 5 September 2023 - Systems submission deadline: 15 September 2023 - Release of results: 20 September 2023 - Paper submission deadline: 20 October 2023 - Notification of acceptance: November 12, 2023 - Camera-ready of accepted papers: November 20, 2023 - FNP Workshop: December 2023 Workshop URL: https://wp.lancs.ac.uk/cfie/fincausal2023/ Registration Form: https://forms.gle/29E161a8RmMosBLU8. After completing the registration form, the practice set will be sent to participants. *Shared Task Description:* Financial analysis needs factual data and an explanation of the variability of these data. Data state facts but need more knowledge regarding how these facts materialised. Furthermore, understanding causality is crucial in studying decision-making processes. The *Financial Document Causality Detection Task* (FinCausal) aims at identifying elements of cause and effect in causal sentences extracted from financial documents. Its goal is to evaluate which events or chain of events can cause a financial object to be modified or an event to occur, regarding a given context. In the financial landscape, identifying cause and effect from external documents and sources is crucial to explain why a transformation occurs. Two subtasks are organised this year. *English FinCausal subtask *and* Spanish FinCausal subtask*. This is the first year where we introduce a subtask in Spanish. *Objective*: For both tasks, participants are asked to identify, given a causal sentence, which elements of the sentence relate to the cause, and which relate to the effect. Participants can use any method they see fit (regex, corpus linguistics, entity relationship models, deep learning methods) to identify the causes and effects. *English FinCausal subtask* - *Data Description: *The dataset has been sourced from various 2019 financial news articles provided by Qwam, along with additional SEC data from the Edgar Database. Additionally, we have augmented the dataset from FinCausal 2022, adding 500 new segments. Participants will be provided with a sample of text blocks extracted from financial news and already labelled. - *Scope: *The* English FinCausal subtask* focuses on detecting causes and effects when the effects are quantified. The aim is to identify, in a causal sentence or text block, the causal elements and the consequential ones. Only one causal element and one effect are expected in each segment. - *Length of Data fragments: *The* English FinCausal subtask* segments are made up of up to three sentences. - *Data format: *CSV files. Datasets for both the English and the Spanish subtasks will be presented in the same format. This shared task focuses on determining causality associated with a quantified fact. An event is defined as the arising or emergence of a new object or context regarding a previous situation. So, the task will emphasise the detection of causality associated with the transformation of financial objects embedded in quantified facts. *Spanish FinCausal subtask* - *Data Description: *The dataset has been sourced from a corpus of Spanish financial annual reports from 2014 to 2018. Participants will be provided with a sample of text blocks extracted from financial news, labelled through inter-annotator agreement. - *Scope: *The *Spanish FinCausal subtask* aims to detect all types of causes and effects, not necessarily limited to quantified effects. The aim is to identify, in a paragraph, the causal elements and the consequential ones. Only one causal element and one effect are expected in each paragraph. - *Length of Data fragments: *The *Spanish FinCausal subtask* involves complete paragraphs. - *Data format: *CSV files. Datasets for both the English and the Spanish subtasks will be presented in the same format. This shared task focuses on determining causality associated with both events or quantified facts. For this task, a cause can be the justification for a statement or the reason that explains a result. This task is also a relation detection task. *FinCausal Shared Task Organisers:* - Antonio Moreno-Sandoval (UAM, Spain) - Blanca Carbajo Coronado (UAM, Spain) - Doaa Samy (UCM, Spain) - Jordi Porta (UAM, Spain) - Dominique Mariko (Yseop, France) For any questions, please contact the organisers at *fincausal.2023(a)gmail.com <fincausal.2023(a)gmail.com>*

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Call for Participation in Shared Tasks (WANLP2023): The 1st Arabic Natural Language Processing Conference
by Salam Khalifa 08 Jun '23

08 Jun '23

*** Apologies for Cross-Posting *** We are pleased to announce five exciting shared tasks <https://wanlp2023.sigarab.org/shared-tasks> as part of the 1st Conference on Arabic NLP (WANLP2023 <https://wanlp2023.sigarab.org/>) - co-located with EMNLP 2023 <https://2023.emnlp.org/> in Singapore. Please refer to the tasks’ websites for more information on participation and internal deadlines. General shared tasks deadlines are at the end of this call. Shared Task 1: NADI 2023 Description: Dialect identification is the task of automatically detecting the source variety of a given text or speech segment. In addition to nuanced dialect identification at the country level, NADI 2022 offered a new subtask focused on country-level sentiment analysis. NADI 2023 continues this tradition of extending tasks beyond dialect identification. Namely, we propose a new open track subtask focused on machine translation (MT) in two directions (i) into Modern Standard Arabic (MSA) from five Arabic dialects and (ii) into any of the five dialects from MSA. Organizers: Muhammad Abdul-Mageed, Chiyu Zhang, El Moatez Billah Nagoudi, AbdelRahim Elmadany (The University of British Columbia, Canada), Houda Bouamor (Carnegie Mellon University, Qatar), and Nizar Habash (New York University Abu Dhabi). For more information, please visit the shared task’s website: <https://sites.google.com/view/arabic-gender-rewriting/> https://nadi.dlnlp.ai/ –––––––––––––––––––––––––––––– Shared Task 2: ArAIEval - Persuasion Techniques and Disinformation Detection in Arabic Text Description: The ArAIEval shared tasks include two tasks: (i) persuasion techniques detection, and (ii) disinformation detection. Organizers: Firoj Alam, Hamdy Mubarak, Maram Hasanain, Wajdi Zaghouani, Giovanni Da San Martino, and Preslav Nakov. For more information, please visit the shared task’s website: <https://sites.google.com/view/arabic-gender-rewriting/> https://araieval.gitlab.io/ –––––––––––––––––––––––––––––– Shared Task 3: Qur'an QA 2023 Description: This is a shared task of Arabic Reading Comprehension over the Holy Qur’an, aiming to trigger state-of-the-art question-answering and reading comprehension research on a book that is sacredly held by more than 1.8 billion people across the world. The shared task entails two subtasks: (A) Passage Retrieval (PR) task, and (B) Reading Comprehension (RC) task. Organizers: Tamer Elsayed, Rana Malhas, Watheq Mansour (Qatar University). For more information, please visit the shared task’s website: <https://sites.google.com/view/arabic-gender-rewriting/> https://sites.google.com/view/quran-qa-2023 –––––––––––––––––––––––––––––– Shared Task 4: WojoodNER Description: Due to the scarcity of Arabic resources, most of the research on Arabic NER focuses on flat entities and addresses a limited number of entity types (person, organization, and location). The goal of this shared task is to alleviate this bottleneck by providing Wojood; a large and rich Arabic NER corpus. Organizers: Muhammad Abdul-Mageed, Mohammed Khalilia, Nagham Hamad, Bashar Talafha, AbdelRahim Elmadany, Alaa’ Omar, Mustafa Jarrar. For more information, please visit the shared task’s website: <https://sites.google.com/view/arabic-gender-rewriting/> https://dlnlp.ai/st/wojood/ –––––––––––––––––––––––––––––– Shared Task 5: Arabic Reverse Dictionary Description: This shared task aims to address the Tip-of-Tongue (TOT) problem by developing a Reverse Dictionary (RD) system specifically for the Arabic language. Reverse dictionaries allow users to find words based on their meanings or definitions and can be useful for writers, crossword puzzle enthusiasts, non-native language learners, and anyone looking to expand their vocabulary. This shared task includes two subtasks: Arabic RD and Cross-lingual Reverse Dictionary (CLRD). Organizers: Rawan Al-Matham, Waad Alshammari, Abdulrahman AlOsaimy, Sarah Alhumoud, Afrah Altamimi, Abdullah Alfaifi. For more information, please visit the shared task’s website: https://samai.ksaa.gov.sa/sharedTask.html –––––––––––––––––––––––––––––– Important dates: - August 29, 2023: shared task papers due date - October 12, 2023: notification of acceptance - October 20, 2023: camera-ready papers due - December 7, 2023: Conference Day All deadlines are 11:59 pm UTC -12h <https://www.timeanddate.com/time/zone/timezone/utc-12> (“Anywhere on Earth”). The WANLP 2023 Publicity Chairs, Salam Khalifa and Amr Keleg -- Salam Khalifa PhD Student at Stony Brook Linguistics <https://www.linguistics.stonybrook.edu/>.

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NLDB 2023 - Call for Participation
by Farid Meziane 08 Jun '23

08 Jun '23

NLDB 2023 28th International Conference on Natural Language & Information Systems 21-23 June 2023, University of Derby, United Kingdom https://www.derby.ac.uk/events/latest-events/nldb-2023/ The 28th International Conference on Natural Language & Information Systems will be held at the University of Derby, United Kingdom and will be a face to face event. This is a full three days event and the conference programme is now available . The University of Derby has a published policy regarding email and reserves the right to monitor email traffic. If you believe this was sent to you in error, please reply to the sender and let them know. Key University contacts: http://www.derby.ac.uk/its/contacts/

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CFP - Second Workshop on Text Simplification, Accessibility and Readability - TSAR 2023 @ RANLP
by Horacio Saggion 08 Jun '23

08 Jun '23

Second Workshop on Text Simplification, Accessibility and Readability - TSAR 2023 @ RANLP Jointly with the Recent Advances in Natural Language Processing Conference RANLP 2023 https://tsar-workshop.github.io/http://ranlp.org/ranlp2023/First Call for PapersImportant Dates Submission deadline: 10 July 2023 Notification of acceptance: 5 August 2023 Camera-ready papers due: 25 August 2023 Workshop: 7 or 8 September 2023 Web provides an abundance of knowledge and information that can reach large populations. However, the way in which a text is written (vocabulary, syntax, or text organization/structure), or presented, can make it inaccessible to many people, especially to non-native speakers, people with low literacy, and people with some type of cognitive or linguistic impairments. The results of Adult Literacy Survey (OECD, 2023) indicate that approximately 16.7% of the adult population (averaged over 24 highly-developed countries) requires lexical, 50% syntactic, and 89.4% conceptual simplification of everyday texts (Štajner, 2021). Research on automatic text simplification (TS), textual accessibility, and readability thus have the potential to improve social inclusion of marginalised populations. These related research areas have increasingly attracted more and more attention in the past ten years, evidenced by the growing number of publications in NLP conferences. While only about 300 articles in Google Scholar mentioned TS in 2010, this number has increased to about 600 in 2015 and is greater than 1000 in 2020 (Štajner, 2021). Recent research in automatic text simplification has mostly focused on proposing the use of methods derived from the deep learning paradigm (Glavaš and Štajner, 2015; Paetzold and Specia, 2016; Nisioi et al., 2017; Zhang and Lapata, 2017; Martin et al., 2020; Maddela et al., 2021; Sheang and Saggion, 2021). However, there are many important aspects of the automatic text simplification that need the attention of our community: the design of appropriate evaluation metrics, the development of context-aware simplification solutions, the creation of appropriate language resources to support research and evaluation, the deployment of simplification in real environments for real users, the study of discourse factors in text simplification, the identification of factors affecting the readability of a text, etc. To overcome those issues, there is a need for collaboration of CL/NLP researchers, machine learning and deep learning researchers, UI/UX and Accessibility professionals, as well as public organisations representatives (Štajner, 2021). The proposed TSAR workshop builds upon the recent success of several workshops that covered a subset of our topics of interest, including the SEPLN 2021 Current Trends in Text Simplification (CTTS) and the SimpleText workshop at CLEF 2021, the TSAR-2022 at EMNLP 2022, the recent Special Issue on Text Simplification, Accessibility, and Readability at Frontiers in AI, as well as the birds-of-a-feather event on Text Simplification at NAACL 2021 (over 50 participants). The TSAR workshop aims to foster collaboration among all parties interested in making information more accessible to all people. We will discuss recent trends and developments in the area of automatic text simplification, text accessibility, automatic readability assessment, language resources and evaluation for text simplification, etc. Topics We invite contributions on the following topics (among others): - Lexical simplification; - Syntactic simplification; - Modular and end-to-end TS; - Sequence-to-sequence and zero-shot TS; - Controllable TS; - Text complexity assessment; - Complex word identification and lexical complexity prediction; - Corpora, lexical resources, and benchmarks for TS; - Evaluation of TS systems; - Domain specific TS (e.g. health, legal); - Other related topics (e.g. empirical and eye-tracking studies); - Assistive technologies for improving readability and comprehension including those going beyond text. Submissions We welcome two types of papers: long papers and short papers. Submissions should be made to: https://softconf.com/ranlp23/TSAR/ The papers should present novel research. The review will be double blind and thus all submissions should be anonymized. Format: Paper submissions must use the official RANLP 2023 Templates <http://ranlp.org/ranlp2023/index.php/submissions/>, which are available as an Overleaf <https://www.overleaf.com/latex/templates/instructions-for-ranlp-2023-procee…> template and also downloadable directly (Latex <http://ranlp.org/ranlp2023/Templates/ranlp2023-LaTeX.zip> and Word <http://ranlp.org/ranlp2023/Templates/ranlp2023-word.docx>). Authors may not modify these style files or use templates designed for other conferences. Submissions that do not conform to the required styles, including paper size, margin width, and font size restrictions, will be rejected without review. Long Papers: Long papers must describe substantial, original, completed, and unpublished work. Wherever appropriate, concrete evaluation and analysis should be included. Long papers may consist of up to eight (8) pages of content, plus unlimited pages of references. Final versions of long papers will be given one additional page of content (up to 9 pages), so that reviewers’ comments can be taken into account. Long papers will be presented orally or as posters as determined by the program committee. The decisions as to which papers will be presented orally and which as poster presentations will be based on the nature rather than the quality of the work. There will be no distinction in the proceedings between long papers presented orally and long papers presented as posters. Short Papers: Short paper submissions must describe original and unpublished work. Please note that a short paper is not a shortened long paper. Instead, short papers should have a point that can be made in a few pages. Some kinds of short papers include: a small, focused contribution; a negative result; an opinion piece; an interesting application nugget. Short papers may consist of up to four (4) pages of content, plus unlimited pages of references. Final versions of short papers will be given one additional page of content (up to 5 pages), so that reviewers' comments can be taken into account. Short papers will be presented orally or as posters as determined by the program committee. While short papers will be distinguished from long papers in the proceedings, there will be no distinction in the proceedings between short papers presented orally and short papers presented as posters. Demo papers: should be no more than two (2) pages, including references, and should describe implemented systems related to the topics of interest of the workshop. It also should include a link to a short screencast of the working software. In addition, authors of demo papers must be willing to present a demo of their system during TSAR 2023. -- Professor Horacio Saggion Head of the Large Scale Text Understanding Systems Lab Full Professor / Chair in Computer Science and Artificial Intelligence TALN / DTIC Deputy Director for Recruitment Universitat Pompeu Fabra [image: https://twitter.com/h_saggion] [image: https://www.linkedin.com/in/horacio-saggion-1749b916]

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Extended deadline: PhD on generation of Norwegian news texts at U. of Bergen
by Koenraad de Smedt 08 Jun '23

08 Jun '23

Deadline extended to June 30! The University of Bergen invites applications for a PhD position at MediaFutures: Research Centre for Responsible Media Technology & Innovation. The position will be on Norwegian Language Technology, in particular the generation and adaptation (including summarization) of Norwegian news texts. The methodology could include generative neural encoder-decoder architectures using large Norwegian language models. Announcement in Norwegian and English: https://www.jobbnorge.no/en/available-jobs/job/244992/phd-research-fellowsh…

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Professorship in Audiovisual Translation
by Ekaterina Lapshinova-Koltunski 08 Jun '23

08 Jun '23

The Institute of Translation Studies and Specialised Communication, Department of Language and Information Sciences, University of Hildesheim (Germany) (https://www.uni-hildesheim.de/fb3/institute/institut-fuer-uebersetzungswiss…) is seeking to fill a Professorship position (W2 professorship in German pay grade system) in the area of Audiovisual Translation. Duties include research, teaching, and administrative service. Research areas associated with the position include subtitling, synchronisation, voice-over-translation, audiodescription, revoicing, game localisation and further, see more details in the official announcement (in German): https://bewerbung.uni-hildesheim.de/jobposting/283575fabeae5ecb1ce64d38ef50… Application *deadline*: July 18 2023 -- Prof. Dr. Ekaterina Lapshinova-Koltunski Institut für Übersetzungswissenschaft und Fachkommunikation Fachbereich 3: Sprach und Informationswissenschaften Stiftung Universität Hildesheim Lübecker Straße 3 31141 Hildesheim +49 5121 883-30934

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ESAO Webinar n.08 on Monday, June 12 –- Special Session with James Hampton (London, UK) -- Call for Participation
by Cassia 08 Jun '23

08 Jun '23

== ESAO Webinar n.08, Special Session in June 2023 == Dear all, The Educational Series on Applied Ontology (ESAO) [1] is open for everyone and welcomes students, researchers and practitioners alike (no registration needed). The 8th ESAO webinar will be held as special session on Monday, June 12, 2023 at 14:00 UTC, for up to 75 min (regional times: 10:00 EDT / 16:00 CEST / 16:00 SAST [2]) via Zoom (full connection details at the end of this message) https://univ-tlse2.zoom.us/j/94745672720?pwd=ZjN5bGN6Rlc1UkxBSmQrSHRvVi95QT… Program & Speaker Info ---------------------- 10:00-11:15 EDT / 14:00-15:15 UTC / 16:00-17:15 / 16:00-17:15 SAST (50 min talk + discussion) Title: The psychology and philosophy of concept combination Speaker: James Hampton (City, University of London, UK) [3] SPECIAL SESSION of ESAO: - invited talk in connection with the PhD defense of Guendalina Rhigetti (Free University of Bozen-Bolzano, Italy) - actually hybrid, onsite in Bozen-Bolzano and online as ESAO webinar - format: scientific talk Abstract: I will review a wider range of research into the problem of how prototype concepts combine. When nouns are placed in a noun-noun compound, (e.g. CRIMINAL LAWYER) different strategies can be used in English to arrive at a semantic interpretation. I will discuss some of the processes involved, and the effects of stress. The second part of my talk will examine how people interpret logical connectives when applied to vague semantic categories such as Vehicle or Fruit. Finally I will present some new data looking at how people judge a conjunction of two vague predicates, as in "These sunglasses are large and dark" where both size and shade of a set of sunglasses are distributed around a vague boundary. Short Speaker CV: Educated at Cambridge and University College London. Professor of Psychology, City, University of London since 1977. Visiting appointments at Stanford, Cornell, Chicago (as a Fulbright Fellow), Yale, NYU, Ecole Normale Superieure in Paris, and Utrecht. Over 100 publications on the psychology and philosophy of concepts. Series Description ------------------ The IAOA [4] has created ESAO [1], an educational effort directed towards topics of Applied Ontology, primarily established basics and foundations. The series is inspired by the Interdisciplinary Schools on Applied Ontology (ISAO) [5] (for the next ISAO edition during July 10-14, 2023, please see [6] - ! EARLY REGISTRATION for ISAO 2023 closes on June 11 (EDT) !). ESAO is complementary in format and its overall approach. The goal is to provide a combination of an archive of educational material (e.g., short video lectures) and a series of webinars for presenting and discussing that material. Organization ------------ Members of the Education Technical Committee of IAOA [6] and among those primarily (in alphabetical order): * Lucía Gómez Álvarez * Frank Loebe * Sandra Lovrenčić * Cassia Trojahn (Chair) * Laure Vieu Contact E-Mail: info(a)iaoa.org [1] Educational Series on Applied Ontology https://wiki.iaoa.org/index.php/Edu:ESAO [2] Session time locally and in further places https://www.timeanddate.com/worldclock/fixedtime.html?iso=20230510T1400 [3] workpage of James Hampton https://www.city.ac.uk/about/people/academics/james-hampton [4] IAOA website http://iaoa.org/ [5] ISAO History page https://iaoa.org/index.php/isao-history/ [6] ISAO 2023 website https://fois2023.griis.ca/isao-2023/ [7] Entry page of the IAOA Education Technical Committee https://iaoa.org/index.php/faq/education-committee/ Connection Details ------------------ Topic: ESAO 8th Session Topic: 8th ESAO Time: June 12, 2023 04:00 PM Paris Join Zoom Meeting https://univ-tlse2.zoom.us/j/94745672720?pwd=ZjN5bGN6Rlc1UkxBSmQrSHRvVi95QT… Meeting ID: 947 4567 2720 Passcode: 980554 --- Join by SIP • 94745672720(a)zoomcrc.com --- Join by H.323 • 162.255.37.11 (US West) • 162.255.36.11 (US East) • 221.122.88.195 (China) • 115.114.131.7 (India Mumbai) • 115.114.115.7 (India Hyderabad) • 213.19.144.110 (Amsterdam Netherlands) • 213.244.140.110 (Germany) • 103.122.166.55 (Australia Sydney) • 103.122.167.55 (Australia Melbourne) • 209.9.211.110 (Hong Kong SAR) • 149.137.40.110 (Singapore) • 64.211.144.160 (Brazil) • 69.174.57.160 (Canada Toronto) • 65.39.152.160 (Canada Vancouver) • 207.226.132.110 (Japan Tokyo) • 149.137.24.110 (Japan Osaka) Meeting ID: 947 4567 2720 Passcode: 980554 --- Join by Skype for Business https://univ-tlse2.zoom.us/skype/94745672720

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Job Offer: Doctoral Researcher (m/f/d) on Computational Linguistics, University of Augsburg, Germany
by Christian Chiarcos 08 Jun '23

08 Jun '23

The Applied Computational Linguistics (ACoLi) Lab at the University of Augsburg is looking for one: *Research Associate (m/f/d)* *in the field of Computational Linguistics* The Applied Computational Linguistics (ACoLi) Lab at the University of Augsburg, Germany, has been created in early 2023 as part of the Hightech Agenda of the Bavarian State Government. Headed by Prof. Dr. Christian Chiarcos, the group concentrates on research topics in natural language processing, natural language semantics, and knowledge graph technologies, as well as the application of these technologies in digital humanities and language technology. The University of Augsburg is a campus university in the city of Augsburg, Germany, in the Munich Metropolitan Region. It brings together fundamental research with applied research questions under the guiding vision of a network university. The university has a traditional focus on law, economics, social sciences and the humanities, along with promising fields in the natural and technical sciences as well as medicine. As part of a more general initiative in digitalization and Artificial Intelligence, the university is actively expanding its portfolio in the area of natural language processing and digital humanities with the creation of several new professorships in this direction. The position is a faculty position (Wissenschaftliche/r Mitarbeiter/in (m/f/d) TV-L E13, 50%) for an initial period of 3 years. The successful candidate (m/f/d) will contribute to research and teaching activities within the group and in the wider context of the University of Augsburg. They are encouraged to participate in grant proposals, research collaborations and scientific networks of the group, and to develop their independent academic profile in this process. The successful candidate (m/f/d) will have the opportunity to obtain a PhD in computational linguistics. The first year of the contract will be devoted to find a suitable topic taylored to their individual interests and skills. *Your tasks:* - Contribute to the group’s research, network, dissemination and publication activities. - Co-operate with colleagues from the humanities and from computer science in the development of collaborative research and teaching. - Contribute to the course programme of the group on topics of computational linguistics and/or digital humanities. - Contribute to the development of interoperable tools and resources for NLP, corpus linguistics and digital humanities. *Your profile / Our requirements:* - Completed Master’s degree in computational linguistics, linguistics, digital humanities, linguistics, data science or a related field. - Demonstrated expertise in both technological (computational) and theoretical (linguistic) aspects of computational linguistics / language technology. - Background in one or more of the following technologies: - machine learning for NLP. - knowledge graphs, RDF, web technologies - morphological, syntactic or semantic parsing - digital humanities or corpus linguistics - Research interest in one or more of the following areas: - natural language semantics (e.g., WSD, SRL, NER, IE, AMR) - computational discourse (e.g., anaphor resolution, discourse parsing, implicit SRL) - computational lexicography - NLP for low-resource or historical languages - Familiarity with machine learning and/or knowledge graph technologies. - Demonstrated experience in software development and/or programming. Familiarity with state-of-the-art libraries for machine learning and data analytics. Previous publications at major NLP, Semantic Web or DH conferences will be considered a plus. *Your abilities:* - Good programming skills (e.g., Python, Java) or the commitment to develop them. - Ability for self-initiated working and structured organization of work. - Good communication and interpersonal skills, in particular enjoyment to work in an interdisciplinary team and with international collaborators. - Ability to present complex scientific and technical matters in English or German. Commitment to develop such skills for both languages. - Motivation to teach aspects of NLP, computational linguistics or digital humanities, to participate in the supervision of students and in the group’s initiatives for public relations. *We offer:* - Interesting and diversified work in an interdisciplinary team - Engagement in national and international collaborations and dissemination activities in Germany, Europe, and worldwide - Flexible working hours - Training and further education opportunities - Lively campus and surroundings incl. family service & childcare facilities on campus *Contract conditions:* - Availability: as of now - Limited for an initial period of 3 years - The position is primarily tailored towards PhD candidates (m/f/d) but note that there is a parallel call of similar scope for Postdoc applicants (m/f/d). - Salary: up to pay group 13 according to the collective agreement for the public service (TV-L E13), in part-time (50%) Applications should be transmitted by *June, 20th 2023* The University of Augsburg promotes the professional equality of women. Female candidates are explicitly invited to submit their application. The University of Augsburg stands up for compatibility of family and professional life. For more information, please contact the women’s representative office. Severely disabled applicants (m/f/div) are given preferential consideration in the event of equal qualification. Applications, together with the usual documents should be sent to sekretariat.computerlinguistik(a)philhist.uni-augsburg.de. Applications should include a short motivation letter, scientific CV as well as diplomas (Bachelor/Master). We are happy to receive additional documents highlighting your scientific style (e.g., in the form of a master thesis or previous publications). Questions regarding the position can be directed to Prof. Dr. Christian Chiarcos, christian.chiarcos(a)uni-a.de.

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Job Offer: Post-Doctoral Researcher (m/f/d) on Natural Language Processing (NLP) and/or Semantic Technologies, University of Augsburg, Germany
by Christian Chiarcos 08 Jun '23

08 Jun '23

The Applied Computational Linguistics (ACoLi) Lab at the University of Augsburg is looking for one: *Post-doctoral researcher (m/f/d)* *in the field of Natural Language Processing and/or Semantic Technologies * The Applied Computational Linguistics (ACoLi) Lab at the University of Augsburg, Germany, has been created in early 2023 as part of the Hightech Agenda of the Bavarian State Government. Headed by Prof. Dr. Christian Chiarcos, the group concentrates on research topics in natural language processing, natural language semantics, and knowledge graph technologies, as well as the application of these technologies in digital humanities and language technology. A specific research focus is the exploration of Linked Data technologies in this context. The University of Augsburg is a campus university in the city of Augsburg, Germany, in the Munich Metropolitan Region. It brings together fundamental research with applied research questions under the guiding vision of a network university. The university has a traditional focus on law, economics, social sciences and the humanities, along with promising fields in the natural and technical sciences as well as medicine. As part of a more general initiative in digitalization and Artificial Intelligence, the university is actively expanding its portfolio in the areas of natural language processing and digital humanities with the creation of several new professorships in this direction. The position is a faculty position (Akademische/r Rat/Rätin (m/f/d) Bes.Gr. A13, or Wissenschaftliche/r Mitarbeiter/in (m/f/d) TV-L E13) for an initial period of 3 years, extensible by another 3 years. The successful candidate (m/f/d) will contribute to the strategic development of the group. Together with Prof. Chiarcos, they will be responsible for the coordination of research and teaching activities within the group and in the wider context of the University of Augsburg. They are expected to develop and to contribute to grant proposals, research collaborations and scientific networks of the group, and they are encouraged to develop their independent academic profile in this process and by developing own research proposals. *Your tasks:* - Contribute to the group’s research, network, dissemination and publication activities. - Co-operate with colleagues from the humanities and from computer science in the development of collaborative research and teaching. - Develop an independent research profile and support or develop proposals for third-party funding. - Contribute to the course programme of the group on topics of computational linguistics and/or digital humanities. - Work towards a habilitation thesis or equivalent (“second book”). *Your profile / Our requirements:* - Completed doctoral thesis in computational linguistics, linguistics, computer science, data science or a related field. - Research focus in one or more of the following areas: - natural language semantics (e.g., WSD, SRL, NER, IE, AMR) - computational discourse (e.g., anaphor resolution, discourse parsing, implicit SRL) - NLP for low-resource or historical languages - Linguistic Linked Open Data or RDF technologies - Infrastructures and workflows for NLP or digital humanities - Strong scientific track record, including publications in the ACL Anthology and at either major NLP conferences, major Semantic Web conferences (e.g., ISWC) or venues that address both communities (e.g., LDK, LDL) - Solid background in machine learning and/or knowledge graph technologies. - Demonstrated experience in software development and/or programming. Familiarity with state-of-the-art libraries for machine learning and data analytics. *Your abilities:* - Strong competences in conceptualizing, conducting and evaluating NLP or DH research in a collaborative manner. - Excellent ability for self-initiated working and structured organization of work. - Very good communication and interpersonal skills, in particular enjoyment to work in an interdisciplinary team and with international collaborators. - Strong ability to present complex scientific and technical matters fluently in English. Ability or commitment to develop such skills for German, as well. - Motivation to teach aspects of NLP, computational linguistics or digital humanities, to participate in the supervision of students and in the group’s initiatives for public relations. *We offer:* - Interesting and diversified work an interdisciplinary team. - Engagement in national and international collaborations and dissemination activities in Germany, Europe, and worldwide - Flexible working hours - Training and further education opportunities - Lively campus and surroundings incl. family service & childcare facilities on campus *Contract conditions:* - Availability: as of now - Limited for an initial period of 3 years - The position is intended full-time, but can also be filled part-time, provided that job-sharing ensures that the duties can be performed full-time. - Salary: up to pay group 13 according to the collective agreement for the public service (TV-L E13) or as a civil servant (Akademische/r Rat/Rätin (m/f/d), Bes.Gr. A13), dependent on the assignment of tasks and qualifications Applications should be transmitted by *June, 29th 2023* The University of Augsburg promotes the professional equality of women. Female candidates are explicitly invited to submit their application. The University of Augsburg stands up for compatibility of family and professional life. For more information, please contact the women’s representative office. Severely disabled applicants (m/f/d) are given preferential consideration in the event of equal qualification. Applications, together with the usual documents should be sent to sekretariat.computerlinguistik(a)philhist.uni-augsburg.de. Applications should include a short motivation letter, scientific CV, list of publications as well as academic certificates. We are happy to receive additional documents, if available (e.g., up to three selected publications, a list of software repositories where you contributed, recommendation letters, etc.). Questions regarding the position can be directed to Prof. Dr. Christian Chiarcos, christian.chiarcos(a)uni-a.de.

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