I second Edyta's points too. I have been on this list since 2015 and since then, the mailing list's standout feature has lied in its informative capacity to circulate calls for papers and job opportunities. While occasional "discussions" have also been a breath of fresh air, the current discourse doesn't quite align with this sentiment.
It would be more beneficial if the list could enhance its utility by containing intense discussions privately rather than disseminating them widely. Thanks. Best regards, Sina Ahmadi Postdoctoral Researcher & Adjunct Lecturer Geroge Mason University http://sinaahmadi.github.io/ **On the job market! I'm seeking out new opportunities to collaborate and innovate as a researcher and lecturer (in Europe).** ________________________________ De : Daniela Cesiri via Corpora <corpora@list.elra.info> Envoyé : mercredi 30 août 2023 11:32 À : Edyta Jurkiewicz-Rohrbacher <edy...@gmail.com> Cc : corpora@list.elra.info <corpora@list.elra.info> Objet : [Corpora-List] Re: RANLP 2023 Call for Participation Dear All, I agree with Edyta's polite remarks. I find the discussions below purely informative posts quite confusing, and I am "losing track" of the original posts to the point that I fear I might miss calls that could be relevant for my work, or miss discussions that are worth joining. Before Edyta's remarks I was even considering leaving the list because of the current situation in the list. So, I join Edyta's kind request to keep discussions as separate threads and leave call for papers/abstracts or job calls as purely informative posts. Perhaps opening a new, separate discussion thread might be an alternative option that would allow us to filter the different kinds of communications we received from the list. Best wishes to everyone, Daniela Cesiri Il Mer 30 Ago 2023, 17:15 Edyta Jurkiewicz-Rohrbacher via Corpora <corpora@list.elra.info<mailto:corpora@list.elra.info>> ha scritto: Dear Ada, dear all, I'm a bit concerned with what has been going with the list recently. The list, as far as I understand, serves several purposes. One of them is purely informative, where one informs the community about potentially interesting jobs, conferences etc. If I open an answer to a job advertisment, I expect it will be a question useful for the potential applicants or correction about, for example, deadlines. Another thing is to ask questions or start some discussions on various topics, either theoretical or purely practical. There I will expect people sharing their experience and opinions. What I do not find ok, is giving the feedback to purely informational posts in the way Ada does. In my opinion the discussions whether words or sentences are up-to-date concepts in any (general)linguistic or computational linguistic framework should be led in separate threads. (Notice also that the problem of text segmentation has been topic for already long time.) Summing up, I wouldn't mind if Adas comments were presented maybe privately to the authors of posts, or discussed in separate list-mails. Otherwise, we are facing chaos here. Summing up, I would be more than happy to participate, if discussions about the relation between linguistics and NLP took place, but not mixed with advertisments. I hope I did not offend anybody with this message. Best, Edyta Jurkiewicz-Rohrbacher śr., 30 sie 2023 o 16:35 Gilles Sérasset via Corpora <corpora@list.elra.info<mailto:corpora@list.elra.info>> napisał(a): > > Dear Ada, dear all, > > I am not a linguist but a computational scientist which is quite used to talk > with (and tries to understand) linguists. I must say that I usually read your > mails as thoroughly as my schedule and patience allows me to, but, to be > honest, I also have a rather negative feeling when reading your “discourse”. > > In this discourse, I see facts + interpretation + rhetorics. > > [Here I take the risk of caricaturing for the sake of shortness, I hope you > will understand that I have no time nor intention to really go deeply in all > the intricacies of your different claims as I am more a witness than an actor > of this scientific dispute] > > My understanding of your facts: Neural models do not use the concept of word > in any of their tasks, but achieve very interesting results in their > modelling of the language. > > My understanding of your interpretation: this is the proof that there is no > such thing as a word. > > My understanding of your rhetoric: linguists are still using “words”, so they > are wrong or dishonest or miseducated or dumb, we should wipe out entirely > any occurence of this concept and start over with another modelling of the > language. > > Please, understand that I am just presenting the way I am interpreting your > different messages. And even if I am wrong here, this interpretation is to be > taken into account as we are all persons with feeling. This feeling is a > fact, even if I do not particularly feel targeted by your different > criticisms. I hope this will help you ponder the terms involved in your next > messages. > > This being said, I was not particularly surprised to see some “passionate” > replies to your different messages. And I agree with everyone here, we should > not go into such passion and use ad-hominem attacks on a mailing list, AND > you should also understand that most of your rhetoric do contains such > passion and attacks. > > > > > Concerning the facts : > > You are right, Neural models does not use any notion of word (or word > morphology) as it is usually thought in linguistics as it usually first > decide what is the granularity with which it will aggregate its input > (sequence of characters) into tokens to which it attaches an “interpretation” > (modelled as a multi-dimensional vector). > > > > > Concerning the interpretation : > > 1. You want to wipe out the notion of word based on such a fact. I would > agree somehow if we were dealing with a universal modelling of language, but > this is not the case. Human model language in a certain way and neural models > in another way (even if neural networks are claimed to be inspired by > biological neurones in our brains). The fact that a concept does not exist in > a model does not entail that it does not exist in another model. > > > 2. Also, you do make the very same mistake concerning the way you look at the > facts: i.e. there is no such thing as a character…, which means that the > input of NN is already flown with a bias with which we look at language. > Indeed characters are a very recent invention that builds on different > concerns: > - usual graphical elements that are traditionally used in language writing > and that has been interpreted as atomic, > - their interpretation by the encoding authorities (see the differences and > debates about code points vs characters) > - arbitrary decision made (e.g. why model A and a as 2 different characters?) > Moreover, all corpora are usually badly encoded by using one character for > another (quote instead of apostrophe, unbreakable character instead of a > space, …) and this only accounts for languages with a writing system or > transcription, i.e. not the majority of them. > > The conclusion is that even Neural Network uses artificial bias in the way > they model language, which means that the conclusion we draw from them are as > flawed as the one we draw from the classical way linguists look at languages. > > > 3. Most serious linguists never defined “words” lightly and most of them know > that this concept is an "approximation” of something that is very difficult > to apprehend and seems to be more grounded into linguistics from human > introspection than linguistics from corpora. It somehow represents the way > our human brain aggregates the atoms of the language (characters/phonemes) > into something to which we associate an interpretation. In this sense, it is > somehow the “tokens” of our biological neural network (and certainly far > more). > > As an utterance production is not a bijection between whatever we have in our > head and the sequential signal we use to communicate, I agree with you on the > fact that “words" are certainly not present in a corpus (but I do think that > our inner “tokens” may be observed somehow there). > > > Concerning the rhetoric: > > I do not think any linguist or computational linguist is naive enough to > think that any of the modelling we deal with are a “truth” and I doubt any of > them is miseducated enough to think that “words” are clearly defined and > undoubtedly present in corpora. I do think though that they are usually right > to observe occurrences (or hints) of non atomic constructs we associate with > some interpretation. I also think that this way of looking to a corpus has > some advantages that are not really present in NN (for instance, it can > observe some regularity that will help human produce new utterances without > being shown a large amount of examples). > > I also do think that even if you were totally right in your facts and > interpretations, asking for a denial of current/past ways of looking to the > texts will be a mistake. Even in physics, since the general theory of > relativity, we know the classical mechanics is wrong, however it is still in > use and it is not a problem as long as everybody know under which hypothesis > it is a good enough approximation and under which hypothesis it does not work > anymore. > > > > I know this message will certainly not make you think differently, but if it > allows you to communicate differently with persons that still use the terms > “words" or “sentences" as a simple shortcut to position their work into a > shared/common understanding of the state of the art, in contexts where there > is no room for better explanation (e.g. in summaries of their keynote > speech), then I will have achieved something. > > Hoping this scientifical debate will continue in an appeased manner, > > Regards, > > Gilles Sérasset, > > _______________________________________________ > Corpora mailing list -- corpora@list.elra.info<mailto:corpora@list.elra.info> > https://list.elra.info/mailman3/postorius/lists/corpora.list.elra.info/ > To unsubscribe send an email to > corpora-le...@list.elra.info<mailto:corpora-le...@list.elra.info> _______________________________________________ Corpora mailing list -- corpora@list.elra.info<mailto:corpora@list.elra.info> https://list.elra.info/mailman3/postorius/lists/corpora.list.elra.info/ To unsubscribe send an email to corpora-le...@list.elra.info<mailto:corpora-le...@list.elra.info> Nota automatica aggiunta dal sistema di posta Sostieni il futuro Dona il tuo 5x1000 al Collegio Internazionale Ca' Foscari FINANZIAMENTO DELLA RICERCA SCIENTIFICA E DELLA UNIVERSITÀ | CODICE FISCALE: 80007720271
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