Dear Colleagues
We cordially invite researchers and scientists working in hyperspectral
image analysis all around the globe to participate and submit their
research work to contribute to our book titled "Computational Intelligence
based Hyperspectral Image Analysis".
It would help if you could let us know the tentative title of your
contribution within 10 days of receiving this mail so that we can plan /
structure the table of contents of the book.
Submission link: https://forms.gle/owMZQys1yd6zXtkMA
Scope of the Book:
--------------------
Computational Intelligence (CI) based hyperspectral image analysis has
gained significant importance in recent years due to its ability to extract
valuable information from hyperspectral images and make predictions.
Hyperspectral images provide a rich source of information about the
composition and properties of objects in the environment. However, the vast
amount of data generated by hyperspectral images can be overwhelming and
hard to analyze. With their ability to provide valuable insights and
improve decision-making, Computational Intelligence techniques act as a
powerful tool that aids in automatic analysis and improves accuracy. Recent
advances in the field have provided new and exciting ways to employ
CI-based hyperspectral image analysis in many diverse applications.
The book aims to showcase these latest achievements and novel approaches in
this field, focusing on their wide applications in agriculture, the
environment, defense, medical diagnostics, food and product inspection, and
mineral exploration. It will be an essential resource for those seeking to
deepen their understanding of how hyperspectral image analysis can combine
with computational intelligence techniques to solve specific tasks in
different application fields from a multidisciplinary perspective.
The topics include, but are not limited to:
---------------------------------------------
Hyperspectral Image Acquisition
Hyperspectral Image Enhancement
Hyperspectral Image Clustering
Hyperspectral Image Representation
Hyperspectral Image Restoration
Hyperspectral Image Filtering
Hyperspectral Image Classification
Hyperspectral Image Segmentation
Hyperspectral Image Retrieval and Indexing
Hyperspectral Image Compression
Spatial/Spectral Super-Resolution
Computational Imaging
Object Detection
Applications in Remote Sensing
Multispectral/Hyperspectral Image Processing: Band Selection,
Dimensionality Reduction, Compressive Sensing,
Sparse Representation, Image Registration/Matching, Image
Denoising/Destriping, Image Fusion/Pansharpening
Unsupervised Learning, Semi-supervised Learning, Transfer Learning, Deep
Learning on Hyperspectral Images
Real time Monitoring and applications
Important Dates:
---------------------
Full Chapter Submission Deadline August 30, 2023
Final Notification of Acceptance October 15, 2023
Final Chapter Submission Deadline November 15, 2023
Publisher Details:
----------------------
This book will be published in the Springer Series "Intelligent Systems
Reference Library" (Electronic ISSN: 1868-4408, Print ISSN: 1868-4394)
Indexed by: SCOPUS, SCImago, DBLP, zbMATH, Norwegian Register for
Scientific Journals and Series
Submission Guidelines:
----------------------
The length of a book chapter should be between 20 and 30 pages.
Chapters must be formatted according to Springer format (Latex or Word).
The manuscript should be submitted in Word or Latex files.
The plagiarism rate should be less than 15%.
The figure should not have any copyright issues; either it can be redrawn
or a copyright certificate should be obtained.
There is no processing or publication charge for this book.
More details on https://sites.google.com/view/cihia2023/home
-----
Best Regards
Editors:
Ajith Abraham, Flame University, Pune, India; Machine Intelligence Research
Labs (MIR Labs), USA
Anu Bajaj, Thapar Institute of Engineering and Technology, Patiala, Punjab,
India
Jyoti Maggu, Thapar Institute of Engineering and Technology, Patiala,
Punjab, India
Information contact: Anu Bajaj (er.anubajaj(a)gmail.com)
*** Last Mile for Paper Submission ***
19th IEEE eScience Conference (eScience 2023)
October 9-13, 2023, St. Raphael Resort, Limassol, Cyprus
https://www.escience-conference.org/2023/
(*** Submission Deadline Extension: June 19, 2023, AoE, FIRM!)
eScience 2023 provides an interdisciplinary forum for researchers, developers, and users of
eScience applications and enabling IT technologies. Its objective is to promote and encourage
all aspects of eScience and its associated technologies, applications, algorithms, and tools,
with a strong focus on practical solutions and open challenges. The conference welcomes
conceptualization, implementation, and experience contributions enabling and driving
innovation in data- and compute-intensive research across all disciplines, from the physical
and biological sciences to the social sciences, arts, and humanities; encompassing artificial
intelligence and machine learning methods; and targeting a broad spectrum of architectures,
including HPC, Cloud, and IoT.
The overarching theme of the eScience 2023 conference is “open eScience”. This year, the
conference is promoting four additional key topics:
• Computational Science for sustainable development
• FAIR
• Research Infrastructures for eScience
• Continuum Computing: Convergence between Cloud Computing and the Internet of Things
(IoT)
The conference is soliciting two types of contributions:
• Full papers (10 pages) presenting previously unpublished research achievements or
eScience experiences and solutions
• Posters (2 pages) showcasing early-stage results and innovations
Submitted papers should use the IEEE 8.5×11 manuscript guidelines: double-column text
using single-spaced 10-point font on 8.5×11-inch pages. Templates are available from
http://www.ieee.org/conferences_events/conferences/publishing/templates.html .
Submissions should be made via the Easy Chair system using the submission link:
https://easychair.org/conferences/?conf=escience2023 .
All submissions will be single-blind peer reviewed. Selected full papers will receive a slot for
an oral presentation. Accepted posters will be presented during a poster reception. Accepted
full papers and poster papers will be published in the conference proceedings. Rejected full
papers can be re-submitted for a poster presentation. At least one author of each accepted
paper or poster must register as an author at the full registration rate. Each author registration
can be applied to only one accepted submission.
AWARDS
eScience 2023 will host the following awards, which will be announced at the conference.
• Best Paper Award
• Best Student Paper Award
• Best Poster Award
• Best Student Poster Award
• Outstanding Early Career Contribution – this award is associated with poster submissions
and short presentations of attendees in their early career phase (i.e., postdoctoral researchers
and junior scientists).
KEY DATES
• Paper Submissions Due: June 19, 2023 (AoE) (FIRM!)
• Notification of Paper Acceptance: July 10, 2023
• Poster Submissions due: July 7, 2023 (AoE)
• Poster Acceptance Notification: July 24, 2023
• All Camera-ready Submissions due: August 14, 2023
• Author Registration Deadline: August 14, 2023
ORGANISATION
General Chair
• George Angelos Papadopoulos, University of Cyprus, Cyprus
Technical Program Co-Chairs
• Rafael Ferreira da Silva, Oak Ridge National Laboratory, USA
• Rosa Filgueira, University of St Andrews, UK
Organisation Committee
https://www.escience-conference.org/2023/organizers
Steering Committee
https://www.escience-conference.org/about/#steering-committee
Email contact: Technical-Program(a)eScience-conference.org
We are inviting applications for one fully funded PhD position (covering UK home tuition fees and stipend) in the Department of Computer Science, University of Sheffield (UK). Please forward this announcement to potentially interested candidates.
The deadline is July 10, 2023, with a starting date for the Autumn of 2023 (from September on). More details below and on this link <https://www.findaphd.com/phds/project/neural-and-cognitive-basis-of-computa…>.
About the Project: neural and cognitive basis of computational models of language
Advances in the design of computational models that learn directly from data has led to much progress in areas like natural language processing (NLP). We invite applications for a fully-funded PhD studentship on human- inspired computational models of language. This multidisciplinary project, at the intersection of machine learning, NLP and computational neuroscience, aims to develop computational models of language processing inspired by the neural and biological basis of human language.
Candidate requirements:
Applicants will need to meet general entry requirements, and ideally will have a Bachelor’s degree (or above) in Computer Science, Neuroscience, Physics, Cognitive Science, Psychology or related discipline (preferably a First Class or the equivalent from an overseas university). Experience on statistical machine learning, deep learning, or computational statistics, as well as programming experience would be desirable.
Additional English language requirements can be found here: <https://www.findaphd.com/common/clickCount.aspx?theid=153809&type=184&DID=1…>https://www.sheffield.ac.uk/postgraduate/english-language <https://www.findaphd.com/common/clickCount.aspx?theid=153809&type=184&DID=1…>.
How to apply
Applications for the PhD studentship must be made directly to the University of Sheffield using the Postgraduate Online Application Form. Make sure you name Aline Villavicencio as proposed supervisor. Information on what documents are required and a link to the application form can be found here - <https://www.findaphd.com/common/clickCount.aspx?theid=153809&type=184&DID=1…>https://www.sheffield.ac.uk/postgraduate/phd/apply/applying <https://www.findaphd.com/common/clickCount.aspx?theid=153809&type=184&DID=1…>
Funding Notes
This position is funded by a studentship from the Department of Computer Science, covering the UK home tuition fee and providing a stipend at the standard UKRI rate. International students are eligible to apply if they can self-fund the difference between the home and overseas fee.
More details on this link <https://www.findaphd.com/phds/project/neural-and-cognitive-basis-of-computa…>
----------------------------------------------------
Prof. Aline Villavicencio <https://sites.google.com/view/alinev>(she/her)
Chair in Natural Language Processing
Director of Equality, Diversity and Inclusivity
Department of Computer Science, University of Sheffield
https://www.sheffield.ac.uk/dcs/people/academic/aline-villavicencio
Call for Abstracts
'Towards Linguistically Motivated Computational Models of Framing'
Date: Feb 28 - Mar 1, 2024
Location: Ruhr-University Bochum, Germany
Organizers: Annette Hautli-Janisz (University of Passau), Gabriella
Lapesa (University of Stuttgart), Ines Rehbein (University of Mannheim)
Homepage: https://sites.google.com/view/dgfs2024-framing
Call for Papers:
Framing is a central notion in the study of language use to rhetorically
package information strategically to achieve conversational goals
(Entman, 1993) but also, more broadly, in the study of how we organize
our experience (Goffman, 1974). In his seminal article, Entman (1993)
defines framing as "to select some aspects of a perceived reality and
make them more salient in a communicating text, in such a way as to
promote problem definition, causal interpretation, moral evaluation,
and/or treatment recommendation for the item described." This frame
definition has recently been operationalized in NLP in terms of
coarse-grained topic dimensions (Card et al., 2015), e.g., by modeling
the framing of immigration in the media as a challenge to economy vs. a
human rights issue. But there is more to frames than just topics.
The breadth of the debate on what constitutes a frame and on its (formal
and cognitive) definition naturally correlates to the interdisciplinary
relevance of this phenomenon: a theoretically motivated (computational)
model for framing is still needed, and this is precisely the goal of
this workshop, which will bring together researchers from theoretical,
applied and computational linguistics interested in framing analysis.
Our main interest is in furthering our understanding of how different
linguistic levels contribute to the framing of messages, and to pave the
way for the development of linguistically-driven computational models of
how people use framing to communicate their attitudes, preferences and
opinions.
We thus invite contributions that cover all levels of linguistic
analysis and methods: from phonetics (e.g., euphony: the use of
repetition, alliteration, rhymes and slogans to create persuasive
messages) and syntax (e.g., topicalization, passivization) to semantics
(lexical choices, such as Pro-Life vs. Pro-Choice; the use of pronouns
to create in- vs. out-groups; the use of metaphors; different types of
implicit meaning) to pragmatics (e.g., pragmatic framing through the use
of presupposition-triggering adverbs). We also invite work on
experimental and computational studies on framing which employ
linguistic structure to better understand instances of framing.
The workshop is part of the 46th Annual Conference of the German
Linguistic Society (DGfS 2024), held from 28 Feb - 1 March 2024 at
Ruhr-Universität Bochum, Germany.
Submission instructions:
We invite the submission of anonymous abstracts for 30 min talks
including discussion. Submissions should not exceed one page, 11pt
single spaced (abstract + references), with an optional additional page
for images. The reviewing process is double-blind; please ensure that
the paper does not include the authors' names and affiliations.
Furthermore, self-references that reveal the author's identity, e.g.,
"We previously showed (Smith, 1991) ...", should be avoided. Instead,
use citations such as "Smith previously showed (Smith, 1991) …".
Submissions open: June 1, 2023 - Aug. 18, 2023
Abstract review period: Aug. 21, 2023 - Sept. 5, 2023
Meeting email: dgfs2024-framing(a)fim.uni-passau.de
--
Ines Rehbein
Data and Web Science Group
University of Mannheim, Germany
The Industry Day of CIKM ’23 will be held on Sunday 22nd Oct 2023 in Birmingham, UK. As with the main conference, which will be held on-site, we anticipate that all presentations for the Industry Day will be delivered in person. Exceptions may be made in case of severe travelling restrictions.
We call for technical talks which will cover how topics of interest relevant to the broader CIKM community, including but not limited to knowledge management, information retrieval, efficient data processing, neural and large language models, evaluation, recommender systems, data mining, and others found in the CIKM ‘23 Call for Papers are used in an industrial setting. For example, how machine learning is put to use in practical scenarios, how user behaviour can be observed and interpreted, how to improve systems in practice, how industrial pipelines can be optimised, and how scale is a challenge in more ways than the obvious. We also encourage talk proposals from small companies, such as startups or spin-offs from either a university project or a large company
Talks may address challenges, solutions, and case studies of interesting and innovative systems in areas including but not limited to:
* Innovative approaches used in deployed systems and product
* System design from industry practitioners which identify best practices and design principles for machine learning systems and their scalability aspects
* Metrics and measurement techniques used to understand performance of production systems
* Practical challenges such as data, privacy, integrity, scale, regulation, etc.
* Domain specific challenges and niche focuses
* Connections with academia to solve interesting problems, including talk proposals from academics spending time in industry, or vice-versa, covering insights for other practitioners
The authors of accepted proposals will be invited to submit an abstract to be published in the conference proceeding. Each presentation will be 15-20 minutes long including Q&A. Submissions should include:
Title and abstract
Speaker's bio
Relevance to above themes and CIKM topics
CIKM is a technical conference, so preference will be given to talks describing applied research and technical challenges rather than product presentations.
Speakers will be asked to confirm their presence at the conference if their submission is accepted.
Submission Instructions
Proposals should be at most 2 pages and follow the ACM format. Formatting guidelines are available at the ACM Website (use the ˮsigconf” proceedings template). https://www.acm.org/publications/proceedings-template
Submissions are not anonymous and should contain speaker details. Proposals should be submitted electronically via EasyChair: https://easychair.org/my/conference?conf=cikm23
Important Dates:
- All deadlines are at 11:59pm in the Anywhere on Earth time zone.
- Submissions Due: July 14, 2023
- Notifications: August 11, 2023
- Camera ready for abstracts (no exceptions): August 18, 2023
Industry Day Chairs
Jiyin He, Signal AI, UK
Jeremy Pickens, Redgrave Data, USA
Contact: cikm2023-industry(a)easychair.org
On 6/9/23, Serge Heiden <slh(a)ens-lyon.fr> wrote:
> Hi Albretch,
>
> For some ideas, I made something related to that more than 20 years ago:
> https://shs.hal.science/halshs-00151838v1/document (in French sorry,
> just looking at the graphs at the end should be informative)
> Not as interactive as it could, but UI technologies have evolved now.
>
> Best,
> Serge
>
Nothing to apologize for, last time I checked (speaking or) writing a
paper in French or any other language other than Russian wasn't
illegal or wrong in any way (USG has made "radioactive" even the use
of any English word starting with "Vlad" or "Put"). Also, one of my Ls
is Spanish, I am fairly acquainted with Latin and know or can easily
infer a good chuck of French words. translate.google.com does a
relatively fine job of blunt translation of the general sense of
texts. For some reason I had to download your paper and upload to
google translate to be able to read it in English, since it has even
taken over as my preferred curse language.
I found your paper very interesting, so I gave it a first reading to
think about it and reread it more carefully later when I found the
time to do so. Furthermore (how do you say „darüberhinausgehend" in
English? ;-)), those "face-à-faces" kinds of political debates, seen
as forceful "conversations", -conversations nonetheless-, bring about
a whole host of corpora research issues I am sure you/those studying
such topics must have noticed. There are different kinds of
"conversations". Friar Leo (Saint Francis' fioretti) and Evodius
(Saint Augustine's "De libero arbitrio voluntatis") were both real
persons but the conversation of sort was very one-sided with Friar Leo
pretty much lending an ear to Saint Francis and Evodius who was more
of an equal and Saint Augustine's personal friend. Plato, involved his
teacher Socrates, Alcibiades (even a slave in his Meno which in those
times was quite an affront to mock the establishment), but also the
Egyptian god of writing (Thoth) in his dialogues. Shakespeare's and
Dostoevsky's fictional characters have taken a voice and life of their
own for many generations. However all those conversations have some
aspects in common.
Conversations/dialogues are peculiar in the sense that (kind of like
with music) you have more than one text realizing more or less
hopefully a certain train of thought (Gedankengang), yet all
participating texts reflect explicitly/lexically or implicitly in more
of a connotative way on one another into some sort of more orchestral
narrative, which (as the poet in me sees it) can NOT be fully reduced
in a syntactically operational way to just the participating texts.
Think of how music is played (when we had such thing) each instrument
(in accord with some shared harmonic and rhythmic) doing its own part,
but also as part of a Hegelian whole.
> “Words have no meaning; they only have uses”. Wittgenstein's quip could lead to meaning, if we knew for a term all of its uses. But this set does not exist.
Actually, technically speaking and demonstrably, this is not quite
the case. It hasn't been for at least two decades. A back of the
envelope calculation will show that, as part of the societally-wide
"monitoring" in the breath by breath surveilled societies we live in
these days, recording, tracking ("every piece of tangible information"
(tm) to "its source") and indexing in a cross-correlated way
everything everyone says for good real time is not only feasible, but
it is exactly what the NSAs of the world have been very cheaply doing
with the happily willing cooperation of proles who (to George Orwell's
dismay) can't take their head off from their cell phones' ass.
> Because the words depend on the "situations" of use, causes and conditions of their enunciation, and we know well that these vary ad infinitum, ...
I have no way of knowing if "ad infinitum" is meant in a metaphoric
way. In actual texts, seeing words as nodes in DAGs, "ad infinitum"
would mean what?, six (6) words?
> ... in time as well as in space. The only solution consists in seizing one of these "situations" where the text is stated, precise, clearly circumscribed, dated, controllable in its essential aspects, then to make, about it, the sum of the words to be studied
... and this is what makes corpora research interesting. "These
situations" don't exist ;-). The essentially locked inner- and
outer-intersubjectivity of language makes impossible (and/or
hopelessly senseless) to clearly circumscribe in controllable ways the
essential aspects of what, when, where, how ... a text is stated,
because texts don't have a life of their own, nor do they determine or
are derived from "factual reality" as if they were just an object,
like a piece of stone, in the physically empirical ways we have been
conditioned to "rationally" think since the scientific revolution. In
a Hegelian („im ,Allgemeinen' Sinne"), every one who listened to,
thought about such debates and/or relates to them even in more or less
indirect, marginal ways (as we do right now while we talk about it)
would be part of "those situations". How could you "clearly
circumscribe ..." that?
Niggah isn't really into protagonism, but I could relate a (in an
early sense the most) formative experience I have had with texts (for
whatever reason I have always loved to read alternating more than one
book during the same period of time since I was little). I was born
into and raised in the Cuba of the 60's (during the most determining,
"crazy" periods of "the revolution") as part of a family of high
profile political dissidents (imprisoned before and after for
political reasons), which taxed, busied the hell out of your mind.
From teachers not speaking, not even looking at me during classes
(which other kids, of course, noticed and protested/asked about even
to their own parents (I myself could not understand it either)),
"because" as my mother explained to me, "they had to then write down
all I said during classes for the police to keep as part of my
profile" (in those times they didn't have cameras, sensors everywhere;
people didn't have cell phones); to my mother forcing her children to
go to church "because she didn't like that idea of politicians telling
people what/how to think" (I could not understand what "politicians"
meant, nor could I why they would mess with my wanting to play with my
friends)) I could not make sense of most of the hellish weirdness
happening around me but I kept thinking and asking my mother about it
who would then start telling me about "the banality of evil", ...
which I couldn't quite understand either, forcibly turning me into
some sort child philosopher.
One day I found in a box on its way to the garbage a religious book
("Cien lecciones de historias sagradas") which included the story in
"Saint Francis' fioretti" about "what 'perfect' joy consists in". The
moral of that story conceptually paraphrased by yours truly as a
philosophical statement with a consciousness studies slant to it would
be: "the greatest of all gifts and graces that God grants us with is
the capacity of overcoming oneself". That one liner overwhelmingly
fascinated me (it has to this very day!, its truthfulness, its poetic
import, its liberating hopefulness, …!). Later I understood Saint
Francis was talking about that thing they used to call "virtue"
(which, since you can’t can it and sell it it doesn’t matter much
these days), ... and that the underlying aspect his true statement was
based on had no explanation (kind of "pulling oneself up by one's own
bootstraps" not even using some sort of Archimedean lever, but one's
own spirituality. How on earth is that even possible!?!) and how could
something Saint Francis said to friar Leo during their wintry talk to
Saint Mary's of the Angels in Perugia/Umbria/Central Italy in the XIV
century as part of the medieval Zeitgeist, after going through such a
long sequence of communicative realizations (from Fr. Ugolino
authoring, discussions, reprints, moving the text to another
continent, ...) impress so mightily a little boy in Havana some 500+
years later?
> From this sum, this exploration and this exhaustive comparison of contexts, the statistical research of co-occurrences can draw an objective description. Does it put us on a track that leads to meaning?
Yes, to some extent, but we shouldn't be illusive about that kind of
"objective description". The interesting aspect would be: to which
extent would claims about "objectivity" demonstrably be, in some sense
factual and to which extent we would be, "quite naturally", reading
whatever we want into those texts in order to "logically" justify
whatever we want? We should keep it real because our work is part of
the "AI"-based "social control" (as freedom lovers call -repression-)
thoroughly employed these days in all levels of society and against
individuals they target.
Yet, there must be something to it, because we live and learn through
our conscious communicative exchanges. Society at large is kind of a
corpus, a hyper forest of decentralized texts (not only "texts" in the
way we see them as sequences of characters consciously written on some
permanent media from stone, to reed, to paper, to magnetic excitation
on a hard drive, but our actions are functional "texts" through which
we constantly interacting with one another ...) You buy some veggies
paying with some money which you earned by functionally doing whatever
with a social import, which doesn't mean the same to you as it does to
the farmer growing it, the people who brought it to the store or
selling it to you, ..., but it somehow all happens just fine. "Money",
"texts", ... semiologically serving as multipurpose accommodating and
balancing medium both outer- and inner-intersubjectively, indeed our
mind-body link!
lbrtchx
(apologies for cross-posting)
----------------------------------------------------------------
*Workshop for NLP Open Source Software (NLP-OSS)*
06 Dec 2023, Co-located with EMNLP 2023
https://nlposs.github.io/
Deadline for Long and Short Paper submission: 09 August, 2023
(23:59, GMT-11)
----------------------------------------------------------------
You have tried to use the latest, bestest, fastest LLM models and bore
grievances but found the solution after hours of coffee and computer
staring. Share that at NLP-OSS and suggest how open source could
change for the better (e.g. best practices, documentation, API design
etc.)
You came across an awesome SOTA system on NLP task X and no LLM has
beaten its F1 score. However, the code is now stale and it takes a
dinosaur to understand the code. Share your experience at NLP-OSS and
propose how to "replicate" these forgotten systems.
You see this shiny GPT from a blog post, tried it to reproduce similar
results on a different task and it just doesn't work on your dataset.
You did some magic to the code and now it works. Show us how you did
it! Though they're small tweaks, well-motivated and empirically tested
are valid submissions to NLP-OSS.
You have tried 101 NLP tools and there's none that really do what you
want. So you wrote your own shiny new package and made it open source.
Tell us why your package is better than the existing tools. How did
you design the code? Is it going to be a one-time thing? Or would you
like to see thousands of people using it?
You have heard enough of open-source LLM and pseudo-open-source GPT
but not enough about how it can be used for your use-case or your
commercial product at scale. So you contacted your legal department
and they explained to you about how data, model and code licenses
work. Sharing the knowledge with the NLP-OSS community.
You have a position/opinion to share about free vs open vs closed
source LLMs and have valid arguments, references or survey/data to
support your position. We would want to hear more about it.
At last, you've found the avenue to air these issues in an academic
platform at the NLP-OSS workshop!!!
Sharing your experiences, suggestions and analysis from/of NLP-OSS
P/S:
1st CALL FOR PAPERS
====
----------------------------------------------------------------
*Workshop for NLP Open Source Software (NLP-OSS)*
06 Dec 2023, Co-located with EMNLP 2023
https://nlposs.github.io/
Deadline for Long and Short Paper submission: 09 August, 2023
(23:59, GMT-11)
----------------------------------------------------------------
The Third Workshop for NLP Open Source Software (NLP-OSS) will be co-located
with EMNLP 2023 on 06 Dec 2023.
Focusing more on the social and engineering aspect of NLP software
and less on scientific novelty or state-of-art models, the Workshop for NLP-OSS
is an academic forum to advance open source developments for NLP research,
teaching and application.
NLP-OSS also provides an academic workshop to announce new software/features,
promote the collaborative culture and best practices that go beyond
the conferences.
We invite full papers (8 pages) or short papers (4 pages) on topics related to
NLP-OSS broadly categorized into (i) software development, (ii) scientific
contribution and (iii) NLP-OSS case studies.
- **Software Development**
- Designing and developing NLP-OSS
- Licensing issues in NLP-OSS
- Backwards compatibility and stale code in NLP-OSS
- Growing, maintaining and motivating an NLP-OSS community
- Best practices for NLP-OSS documentation and testing
- Contribution to NLP-OSS without coding
- Incentivizing OSS contributions in NLP
- Commercialization and Intellectual Property of NLP-OSS
- Defining and managing NLP-OSS project scope
- Issues in API design for NLP
- NLP-OSS software interoperability
- Analysis of the NLP-OSS community
- **Scientific Contribution**
- Surveying OSS for specific NLP task(s)
- Demonstration, introductions and/or tutorial of NLP-OSS
- Small but useful NLP-OSS
- NLP components in ML OSS
- Citations and references for NLP-OSS
- OSS and experiment replicability
- Gaps between existing NLP-OSS
- Task-generic vs task-specific software
- **Case studies**
- Case studies of how a specific bug is fixed or feature is added
- Writing wrappers for other NLP-OSS
- Writing open-source APIs for open data
- Teaching NLP with OSS
- NLP-OSS in the industry
Submission should be formatted according to the [EMNLP 2023
templates](https://2023.emnlp.org/call-for-papers) and submitted to
[OpenReview](https://openreview.net/group?id=EMNLP/2023/Workshop/NLP-OSS)
ORGANIZERS
Geeticka Chauhan, Massachusetts Institute of Technology
Dmitrijs Milajevs, Grayscale AI
Elijah Rippeth, University of Maryland
Jeremy Gwinnup, Air Force Research Laboratory
Liling Tan, Amazon