Dear Colleagues,
The deadline to submit a paper in the WIESP workshop is TODAY!
https://ui.adsabs.harvard.edu/WIESP/2023/
We have a new shared task on *Citation Classification*.
https://ui.adsabs.harvard.edu/WIESP/2023/shared_task_1
If you are interested, please register to participate:
https://forms.office.com/g/cUyC00LnWB
All the participating teams would be invited to submit a paper describing
their system and those would be published as part of WIESP @ IJCNLP-AACL
2023 proceedings in the ACL Anthology.
Please feel free to reach us for any questions.
Thank you.
Best regards,
Tirthankar Ghosal
--
+++++++++++++++++++++++++++++++++++
Tirthankar Ghosal
https://elitr.eu/tirthankar-ghosal/
++++++++++++++++++++++++++++++++++++
Second Call for Papers
Special Issue of Computational Linguistics: Language Learning, Representation, and Processing in Humans and Machines
** Guest Editors **
Marianna Apidianaki (University of Pennsylvania)
Abdellah Fourtassi (Aix Marseille University)
Sebastian Padó (University of Stuttgart)
** NEW: Abstract submission deadline: November, 10 **
** Paper submission deadline: December, 10 **
Large language models (LLMs) acquire rich world knowledge from the data they are exposed to during training, in a way that appears to parallel how children learn from the language they hear around them. Indeed, since the introduction of these powerful models, there has been a general feeling among researchers in both NLP and cognitive science that a systematic understanding of how these models work and how they use the knowledge they encode, would shed light on the way humans acquire, represent, and process this same knowledge (and vice versa).
Yet, despite the similarities, there are important differences between machines and humans that have prevented a direct translation of insights from the analysis of LLMs to a deeper understanding of human learning. Chief among these differences is that the size of data required to train LLMs far exceeds -- by several orders of magnitude -- the data children need to acquire sophisticated conceptual structures and meanings. Besides, the engineering-driven architectures of LLMs do not appear to have obvious equivalents in children's cognitive apparatus, at least as studied by standard methods in experimental psychology. Finally, children acquire world knowledge not only via exposure to language but also via sensory experience and social interaction.
This edited volume aims to create a forum of exchange and debate between linguists, cognitive scientists and experts in deep learning, NLP and computational linguistics, on the broad topic of learning in humans and machines. Experts from these communities can contribute with empirical and theoretical papers that advance our understanding of this question. Submissions might address the acquisition of different types of linguistic and world knowledge. Additionally, we invite contributions that characterize and address challenges related to the mismatch between humans and LLMs in terms of the size and nature of input data, and the involved learning and processing mechanisms.
Topics include, but are not limited to:
• Grounded learning: comparison of unimodal (e.g., text) vs multimodal (e.g., images and video) learning.
• Social learning: comparison of input-driven mechanisms vs. interaction-based learning.
• Exploration of different knowledge types (e.g., procedural / declarative); knowledge integration and inference in LLMs.
• Methods to characterize and quantify human-like language learning or processing in LLMs.
• Interpretability/probing methods addressing the linguistic and world knowledge encoded in LLM representations.
• Knowledge enrichment methods aimed at improving the quality and quantity of the knowledge encoded in LLMs.
• Semantic representation and processing in humans and machines in terms of, e.g., abstractions made, structure of the lexicon, property inheritance and generalization, geometrical approaches to meaning representation, mental associations, and meaning retrieval.
• Bilingualism in humans and machines; second language acquisition in children and adults; construction of multi-lingual spaces and cross-lingual correspondences.
• Exploration of language models that incorporate cognitively plausible mechanisms and reasonably-sized training data.
• Use of techniques from other disciplines (e.g., neuroscience or computer vision) for analyzing and evaluating LLMs.
• Open-source tools for analysis, visualization, or explanation.
Submission Instructions
** NEW ** Authors are strongly encouraged to submit a short (max 1 page) abstract of their paper by November 10.
Abstracts will be sent to the Guest Editors (e-mails below). Minor modifications to the abstract will still be possible until final submission.
Papers should be formatted according to the Computational Linguistics style guidelines: http://cljournal.org/
We accept both long and short papers. Long papers are between 30 and 40 journal pages in length; short papers are between 15 and 25 pages in length.
Papers for this special issue will be submitted through the CL electronic submission system, just like regular papers: http://cljournal.org/submissions.html
Authors of special issue papers will need to select “Special Issue on LLPR” under the Journal Section heading in the CL submission system.
Please note that papers submitted to a special issue undergo the same reviewing process as regular papers.
Timeline
Deadline for abstract submission: November, 10 2023
Deadline for paper submission: December, 10 2023
Notification after 1st round of reviewing: February, 10 2024
Revised versions of the papers: April, 30 2024
Final decisions: June, 10 2024
Final version of the papers: July, 1 2024
Inquiries
All inquiries should be directed to the guest editors of this special issue.
Guest Editors
Marianna Apidianaki
marapi(a)seas.upenn.edu <mailto:marapi@seas.upenn.edu>
Abdellah Fourtassi
abdellah.fourtassi(a)gmail.com <mailto:abdellah.fourtassi@gmail.com>
Sebastian Padó
pado(a)ims.uni-stuttgart.de <mailto:pado@ims.uni-stuttgart.de>
Reviewers
Afra Alishahi, Tilburg University
Rachel Bawden, INRIA
Philippe Blache, Aix-Marseille University, CNRS
Idan Blank, UCLA
Gemma Boleda, Universitat Pompeu Fabra
Marie-Catherine de Marneffe, UCLouvain, FNRS, The Ohio State University
Katrin Erk, University of Texas at Austin
Benoit Favre, Aix-Marseille University
Richard Futrell, UC Irvine
Aina Garí Soler, Télécom-Paris
Mario Giulianelli, University of Amsterdam
Gabriel Grand, MIT
Dieuwke Hupkes, META
Anna Ivanova, MIT
Jordan Kodner, Stony Brook University
Andrew Lampinen, DeepMind
Roger Levy, MIT
Tal Linzen, New York University (NYU)
Barbara Plank, LMU Munich
Christopher Potts, Stanford University
Veronica Qing Lyu, University of Pennsylvania
Okko Räsänen, Tampere University
Anna Rogers, IT University of Copenhagen
Thomas Schatz, Aix-Marseille University
Sebastian Schuster, Saarland University
Cory Shain, Stanford University
Jörg Tiedemann, University of Helsinki
Sean Trott, University of California, San Diego
Ivan Vuliç, University of Cambridge
Computational Linguistics is the longest-running flagship journal of the Association for Computational Linguistics. The journal has a high impact factor: 9.3 in 2022 and 7.778 in 2021. Average time to first decision of regular papers and full survey papers (excluding desk rejects) is 34 days for the period January to May 2023, and 47 days for the period January to December 2022.
Dear Esteemed Colleagues,
We are a research group of the Computer Science Department and Polin
Laboratory at University of Turin.
We need your contribution to test a dialogue system for exploring finite
automata with the accessibility goal in mind.
*Introducing the NoVAGraphS Research Experiment*
Our research team comprising Alessandro Mazzei, Luca Anselma, Pier Felice
Balestrucci, Cristian Bernareggi, Elisa Di Nuovo and Manuela Sanguinetti,
is thrilled to extend a heartfelt invitation to individuals with a basic
knowledge of *English* and* finite state automata*.
We need your valuable insights to evaluate our prototype system designed to
enhance the accessibility of automata, a graphical structure usually taught
in Computer Science courses which is not yet fully accessible for
individuals with visual impairments.
*What would you expect?*
- You will interact with a prototype dialogue system using a web interface
to explore a simple automaton.
- Moreover, you will explore another simple automaton using a state
transition table.
- Finally, we will ask you some questions to assess your understanding of
the two automata and collect your precious feedback on the usability of the
dialogue system. Rest assured, any personal information collected will
remain completely anonymous.
- It will take approximately 15 minutes (standard deviation = 5 minutes :D).
*Interested in participating or needing more information to decide?*
In both cases, please contact Pier at the following email address:
pierfelice.balestrucci[at]unito.it
Kind regards,
Elisa Di Nuovo on behalf of NoVAGraphS Research Group
--
Alessandro Mazzei, Luca Anselma, Pier Felice Balestrucci, Cristian
Bernareggi, Elisa Di Nuovo, Manuela Sanguinetti
http://www.integr-abile.unito.it/progetto-novagraphs/
(website only in Italian)
Dear Colleagues,
We received some requests about the extension of the submission deadline.
Because we still have some time to wait for more interesting submissions,
we have decided to extend the submission deadline to 15 Sep. 2023 (AoE).
FinNLP@IJCNLP-AACL-2023 will be held in hybrid mode. While we encourage
in-person attendance, we understand the need for flexibility and will also
be accommodating live online presentations.
We also have a Multi-Lingual ESG Impact Type Identification (ML-ESG-2)
shared task. Please join us if you are interested in ESG topics.
We are looking forward to your participation in FinNLP@IJCNLP-AACL-2023.
For more details, please refer to FinNLP-2023 website:
https://sites.google.com/nlg.csie.ntu.edu.tw/finnlp2023/home
Best Regards,
Chung-Chi Chen
---
陳重吉 (Chung-Chi Chen), Ph.D.
Researcher
Artificial Intelligence Research Center, National Institute of Advanced
Industrial Science and Technology, Japan
E-mail: c.c.chen(a)acm.org
Website: http://cjchen.nlpfin.com
Hello,
in the research project "BoTox - Bot and context detection in the environment of hate speech" a position for a research assistant is advertised.
https://h-da.de/fileadmin/h_da/Hochschule/Stellenangebote/Mitarbeiter/378_2…
There is a possibility to do a PhD in the Hessian PhD Center for Applied Computer Science. For questions about the position and the project, please do not hesitate to contact me.
Best regards,
Melanie Siegel
/*****************************************************/
Prof. Dr. Melanie Siegel
Information Science
Darmstadt University of Applied Sciences
Schöfferstraße 3
D-64295 Darmstadt
https://sis.h-da.de<https://sis.h-da.de/>
www.melaniesiegel.de<http://www.melaniesiegel.de/>
https://fz.h-da.de/detox
/*****************************************************/
*Task:* We call for automated systems to extract and normalize the findings
of dysmorphology physical examinations. The dataset consists of 3136
de-identified observations with dysmorphic findings manually annotated and
normalized with their corresponding HumanPhenotype Ontology
<https://hpo.jax.org/app/> (HPO) terms.
*Motivation:* Dysmorphology physical examinations catalog minor
morphological differences of patients’ bodies and may also identify general
medical signs such as neurologic dysfunction. These findings enable
correlations of patients with known rare genetic diseases and allow
researchers to delineate undescribed genetic conditions. These medical
findings are nearly always captured as unstructured free text within the
electronic health record, making them unavailable for downstream
computational analysis. Advanced natural language processing methods are
therefore required to retrieve the information from the records.
*Challenge:* Both extraction and normalization are challenging. The
extraction is challenging due to the descriptive style of the examinations
which, for conciseness, report findings with disjoint and overlapping
mentions. The normalization is challenging due to the large scale of the
HPO ontology which requires a normalizer to learn the task without
supervision since our training set does not provide examples of all terms
in the HPO.
See
https://biocreative.bioinformatics.udel.edu/tasks/biocreative-viii/track-3/ for
details., in short:
- 3136 de-identified observations with dysmorphic and normal findings
manually annotated and normalized with their corresponding Human
Phenotype Ontology <https://hpo.jax.org/app/> terms
- Baseline systems available (e.g. doc2HPO
<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Furldefens…>
, NeuralCR
<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Furldefens…>
, PhenoTagger
<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Furldefens…>
, PhenoBERT
<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Furldefens…>,
and txt2HPO
<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Furldefens…>
)
- Codalab opened at https://codalab.lisn.upsaclay.fr/competitions/11351
- Evaluation period: Sept. 15, 9:00 UTC - Sept. 18, 23:59 UTC
[Apologies for cross-posting]
Best regards,
Davy
NLP4DH 2023 & IWCLUL 2023
The Joint 3rd International Conference on Natural Language Processing for Digital Humanities and 8th International Workshop on Computational Linguistics for Uralic Languages will be held in Tokyo, Japan. The proceedings will be published in the ACL anthology<https://aclanthology.org/>. The workshop will take place on December 1-3 2023.
https://rootroo.com/en/joint-nlp4dh-iwclul-2023/
Submission deadline: October 1, 2023
Registration/publication fees: 0€!
The focus of NLP4DH is on applying natural language processing techniques to digital humanities research. The topics can be anything of digital humanities interest with a natural language processing or generation aspect. A list of suitable NLP4DH topics include but are not limited to:
-Text analysis and processing related to humanities using computational methods
-Dataset creation and curation for NLP (e.g. digitization, digitalization, datafication, and data preservation).
-Research on cultural heritage collections such as national archives and libraries using NLP
-NLP for error detection, correction, normalization and denoising data
-Generation and analysis of literary works such as poetry and novels
-Analysis and detection of text genres
-Submissions are not limited to Uralic languages!
In addition, IWCLUL solicits papers that focus on NLP methods for Uralic languages. Many of these languages are endangered and call for innovative NLP approaches that can deal with small amounts of data. A list of suitable IWCLUL topics include but are not limited to:
-Parsers, analysers and processing pipelines of Uralic languages
-Lexical databases, electronic dictionaries
-Finished end-user applications aimed at Uralic languages, such as spelling or grammar checkers, machine translation or speech processing
-Evaluation methods and gold standards, tagged corpora, treebanks
We solicit original and unpublished work related to digital humanities and natural language processing (NLP4DH) or NLP methods for Uralic languages (IWCLUL).
Short papers can be up to 4 pages in length (5 for camera-ready version). Short papers can report on work in progress or a more targeted contribution such as software or partial results.
Long papers can be up to 8 pages in length (9 for camera-ready version). Long papers should report on previously unpublished, completed, original work.
Lightning talks submitted as 750-word abstracts. Lightning talks are suited for discussing ideas or presenting work in progress. The abstracts will not be published or indexed and will only be made available on the conference website.
All submission formats can have an unlimited number of pages for references. All submissions must follow the ACL stylesheet<https://2023.aclweb.org/calls/style_and_formatting/>.
The submissions must be anonymous and they will be peer-reviewed by our program committee. The peer review is double blinded. Papers must be submitted using the conference submission system by the deadline. At least one of the authors of an accepted paper must attend the event and present their paper.
Accepted papers (short and long) will be published in the joint proceedings that will appear in the ACL Anthology. Accepted papers will also be given an additional page to address the reviewers’ comments. The length of a camera ready submission can then be 5 pages for a short paper and 9 for a long paper with an unlimited number of pages for references.
The authors of the accepted papers will be invited to submit an extended version of their paper to a special issue in the Journal of Data Mining & Digital Humanities<https://jdmdh.episciences.org/>.
Important dates
-Paper submission (full and short): October 1, 2023
-Notification of acceptance: November 3, 2023
-Camera ready deadline: November 17, 2023
-NLP4DH & IWCLUL in Tokyo: December 1-3, 2023
*** Second Workshop on Information Extraction from Scientific Publications (
WIESP) at IJCNLP-AACL 2023 ***
*** Website: https://ui.adsabs.harvard.edu/WIESP/2023/ ***
*** Twitter: https://twitter.com/wiesp_nlp ***
Building on the success of the First WIESP at AACL-IJCNLP 2022, the Second
Workshop on Information Extraction from Scientific Publications (WIESP)
will provide a platform to researchers to foster discussion and research on
information extraction, mining, generation, and knowledge discovery from
scientific publications using Natural Language Processing and Machine
Learning techniques. A lot of technological change happened in one year
(since the 1st WIESP), especially with Generative Artificial Intelligence
research. We are incorporating a few additional topics to stay abreast with
the latest developments and research in the community. The 2nd iteration of
WIESP would focus on the following topics (but not limited to):
- Large Language Models (LLMs) for Science
- Application of LLMs on information extraction, generation, mining and
knowledge discovery from scientific publications
- Probing LLMs for scientific fact checking and misinformation
- Scientific document parsing
- Scientific named-entity recognition
- Scientific article summarization
- Question-answering on scientific articles
- Citation context/span extraction
- Structured information extraction from full-text, tables, figures,
bibliography
- Novel datasets curated from scientific publications
- Argument extraction and mining
- Challenges in information extraction from scientific articles
- Building knowledge graphs via mining scientific literature; querying
scientific knowledge graphs
- Novel tools for IE on scientific literature and interaction with users
- Mathematical information extraction
- Scientific concepts, facts extraction
- Visualizing scientific knowledge
- Bibliometric and Altmetric studies via information extraction from
scientific articles and metadata
In addition to research paper presentations, WIESP will also feature
keynote talks, a panel discussion on “Large Language Models and Scientific
Literature Mining'', and shared tasks. We will update the details on our
website as and when they become available. We especially welcome
participation from academic and research institutions, government and
industry labs, publishers, and information service providers. Projects and
organizations using NLP/ML techniques in their text mining and enrichment
efforts are also welcome to participate. We strongly encourage the
participation
of students, researchers, and science practitioners from diverse
backgrounds, especially from underrepresented groups and communities, to be
a part of WIESP events, and pro-actively make the workshop a diverse and
inclusive one.
****Call for Papers****
We invite papers of the following categories:
***Long papers*** must describe substantial, original, completed, and
unpublished work. Wherever appropriate, concrete evaluation and analysis
should be included. Papers must not exceed eight (8) pages of content, plus
unlimited pages of references. The 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.
***Short papers*** 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, such as a small,
focused contribution, a negative result, or an interesting application
nugget. Short papers must not exceed four (4) pages, plus unlimited pages
of references. The 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.
In addition to papers, WIESP will also host shared tasks. More details on
the WIESP shared tasks will be available on our website shortly. Also, we
will publish separate CfPs on the shared tasks. Shared task authors will be
invited to write their system descriptions and those will be subjected to
peer review.
***Shared Task: Function of Citation in Astrophysics Literature (FOCAL)***
The citation graph is an essential tool for helping researchers find
relevant literature. To further empower discovery, we aim to label the
edges of the graph with the function of the citation: e.g. is the cited
work necessary background knowledge, or is it used as a comparison, to the
citing work? To start this process, we propose a shared task of
automatically labelling citations with a function based on the textual
context of the citation. A sample dataset and more instructions can be
found at: https://ui.adsabs.harvard.edu/WIESP/2023/SharedTasks
*All accepted papers would be published in the WIESP proceedings as part of
IJCNLP-AACL 2023 and indexed in the ACL Anthology.*
***Important Dates***
- Paper Submission Deadline: *September 11, 2023 (final extended deadline)*
- Notification of workshop paper/abstract acceptance: October 5, 2023
- Camera-ready Submission Deadline: October 12, 2023
- Workshop: November 1, 2023 (online)
***All submission deadlines are 11.59 pm UTC -12h ("Anywhere on Earth")***
****Submission Website and Format****
Submission Link: https://softconf.com/ijcnlp2023/WorkshopWIESP2023/
Submission will be via softconf. Submissions should follow the ACLPUB
formatting guidelines (https://acl-org.github.io/ACLPUB/formatting.html)
and template files (https://github.com/acl-org/acl-style-files/tree/master).
Submissions (Long and Short Papers) will be subject to a double-blind
peer-review process. We follow the same policies as IJCNLP-AACL 2023
regarding anonymity, preprints and double submissions.
***Organizers***
- Tirthankar Ghosal, National Center for Computational Sciences| Oak Ridge
National Laboratory, USA
- Felix Grezes, Center for Astrophysics | Harvard & Smithsonian, USA
- Thomas Allen, Center for Astrophysics | Harvard & Smithsonian, USA
- Kelly Lockhart, Center for Astrophysics | Harvard & Smithsonian, USA
- Alberto Accomazzi, Center for Astrophysics | Harvard & Smithsonian, USA
--
+++++++++++++++++++++++++++++++++++
Tirthankar Ghosal
https://member.acm.org/~tghosal
++++++++++++++++++++++++++++++++++++
===== Call for Participation to online FOIS 2023 conference, showcases
and demos =====
Program: https://fois2023.griis.ca/online-conference/
Registration: https://event.fourwaves.com/fr/fois2023/inscription
(free registration for students)
====================================================================================
13th International Conference on Formal Ontology in Information Systems
(FOIS 2023), September 18-20, 2023 (Online)
Definition and scope
====================
The FOIS conference is a meeting point for all researchers with an
interest in formal ontology. Formal ontology is the systematic study of
the types of entities and relations making up the domains of interest
represented in modern information systems. FOIS 2023 will have distinct
tracks for foundational issues, ontology applications and methods, and
domain ontologies. FOIS aims to be a nexus of interdisciplinary research
and communication for researchers from many domains engaging with formal
ontology. Common application areas include conceptual modeling, database
design, knowledge engineering and management, software engineering,
organizational modeling, artificial intelligence, robotics,
computational linguistics, the life sciences, bioinformatics and
scientific research in general, geographic information science,
information retrieval, library and information science, as well as the
Semantic Web.
FOIS is the flagship conference of the International Association for
Ontology and its Applications (IAOA: http://iaoa.org/), which is a
non-profit organization promoting interdisciplinary research and
international collaboration in formal ontology.
Program
====================
Monday September, 18th
EDT (UTC -4) CEST (UTC +2)
08:15-08:30 14:15-14:30 FOIS online Welcome Zoom
08:30-10:30 14:30-16:30 Session 1: Foundational concepts (Chair:
Laure Vieu) Zoom
10:30-11:00 16:30-17:00 Coffee break gather.town
11:00-12:00 17:00-18:00 Ontology showcases and demos gather.town
Tuesday September, 19th
08:30-09:00 14:30-15:00 Invited talks special session (TBC) Zoom
09:00-10:30 15:00-16:30 Session 2: Methodological issues (TBA) Zoom
10:30-11:00 16:30-17:00 Coffee break gather.town
11:00-12:00 17:00-18:00 ESAO panel Zoom
Wednesday September, 20th
09:00-10:30 15:00-16:30 Session 3: Domain ontologies (TBA) Zoom
10:30-11:00 16:30-17:00 Coffee break gather.town
11:00-12:00 17:00-18:00 IAOA General Assembly Zoom
12:00-12:15 18:00-18:15 Closing Zoom
Details: https://fois2023.griis.ca/onlinesession/
Registration fees
====================
Online presenter: 500 CAN / 340 EUR
Listener - regular fee (academia or industry): 100 CAN / 70 EUR
Listener - reduced fee (student or participant from less developed
contry): free
More information: https://fois2023.griis.ca/registration/
Conference Organization
=======================
General Chair: Antony Galton, University of Exeter, UK
PC Chairs: Nathalie Aussenac-Gilles, IRIT-CNRS Toulouse, France
Torsten Hahmann, University of Maine, USA
Local Organization Chair: Jean-François Ethier, University of
Sherbrooke, Canada
Online Chair: Cassia Trojahn, IRIT Université Toulouse 2, France
Workshop and Tutorial Chairs: Megan Katsumi, University of Toronto,
Canada
Emilio Sanfilippo, ISTC-CNR, Trento, Italy
Early Career Chairs: Antoine Zimmermann, École des Mines de
Saint-Étienne (EMSE), France
Guendalina Righetti, Free University
Bozen/Bolzano, Italy
Demo & Showcase Chairs: Sergio de Cesare, University of Westminster, UK
Tiago Prince Sales, University of Twente,
Netherlands
Publicity Chairs: Lucia Gomez Alvarez, TU Dresden, Germany
Selja Seppälä, University College Cork, Ireland
Proceedings Chair: Maria Hedblom, Jönköping University, Sweden
Program committee: https://fois2023.griis.ca/conference-organization/
The 8th Biomedical Linked Annotation Hackathon (BLAH8)
15 - 19 January, 2024
Kashiwa, Chiba, Japan
https://blah8.linkedannotation.org/
Submission due of project proposals : 20 Oct., 2023
INTRODUCTION
BLAH (Biomedical Linked Annotation Hackathon) represents a series of annual
hackathon events, specifically designed to foster open collaboration. The
goal is to achieve a breakthrough in the sharing and linking of various
resources for biomedical literature annotation and mining. By enhancing the
interoperability of these resources, the initiative aims to substantially
increase both the productivity and the impact within the community.
Within the scope of BLAH, the term "resources" encompasses a wide range of
elements including corpora, annotation datasets, databases, language
models, software tools, web services, terminologies, ontologies, graphical
representations, movies, and more. The aspiration of BLAH is to create
connections between all these resources, allowing them to interoperate
seamlessly. We believe this integration will foster a more cohesive and
effective environment for all stakeholders.
Unfortunately, the pandemic led to a temporary halt in the organization of
BLAH events. However, with the world gradually reopening, BLAH is excited
to announce its return with the 8th edition (BLAH8). In recognition of the
era of Large Language Models (LLMs), BLAH8 will center around a special
theme: "Biomedical Annotations in the Age of LLMs." This theme represents a
contemporary focus for the community and signals a commitment to staying at
the forefront of technological advancements in the biomedical field.
Through BLAH8, we aspire to explore the potential synergy between LLMs and
literature annotations, diving deep into various facets of biomedical
applications.
CALL FOR PROJECT PROPOSALS
We invite submission of project proposals from those who are interested in
contributing biomedical literature annotation with their literature
annotation resources, and expertise, particularly this year with a
connection to LLMs. We invite projects which can be accomplished during the
hackathon. The type of contribution may include, but not restricted to
- Integration of annotation resources
- Evaluation of annotation resources
- Application of annotation resources
- ...
Submission due of project proposals is 20 Oct., 2023
TRAVEL SUPPORT
Those who submit project proposals are eligible to apply for travel
support. See the homepage for detailed information.
PUBLICATION
Immediately after BLAH8, participants will be invited to submit papers, e.
g., report of the hackathon outputs, to either of the two venues:
- Genomics & Informatics : an open access journal, which is indexed by
PubMed. All the papers of the journal will be immediately included in the
PMC open access subset.
- BioHackrxiv : a preprint server, which is powered by OSF preprints and
indexed by EuropeanPMC.
PROGRAM COMMITTEE
- Jin-Dong Kim (DBCLS, ROIS-DS)
- Fabio Rinaldi (IDSIA)
- Lars Juhl Jensen (Univ. Copenhagen)
- Zhiyong Lu (NCBI, NLM)