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Understanding Language by Machines | – an escape from the world of language – Spinoza Prize projects (2014-2019) Prof. dr. Piek Vo | understandinglanguagebymachines.org Reviews
https://understandinglanguagebymachines.org
– an escape from the world of language – Spinoza Prize projects (2014-2...
understandinglanguagebymachines.org
Word, concept and the perception of images and sounds | Understanding Language by Machines
http://www.understandinglanguagebymachines.org/word-concept-perception-and-brain
Word, concept and the perception of images and sounds. July 17, 2014. Within ULM-2, Emiel van Miltenburg focusses on the perception of images and sounds. If we ever want to communicate with computers, it is essential that they understand…. Focusses on the perception of images and sounds. By Emiel van Miltenburg. The graph shows tags from the Freesound Database, clustered by their similarity. The VU Sound Corpus. Link: https:/ github.com/CrowdTruth/VU-Sound-Corpus. In Proceedings of the ninth internationa...
— Mar. 13 2015: Why linguists are needed by George Lakoff — webcast available | Understanding Language by Machines
http://www.understandinglanguagebymachines.org/mar-13-2015-why-linguists-are-needed-by-george-lakoff-webcast
Mar 13 2015: Why linguists are needed by George Lakoff webcast available. March 13, 2015. Webcast available of presentation by George Lakoff. On Friday March 13 2015 “Why linguists are needed: The severe limitations of big data analysis of linguistic corpora”. Arguing that “big data statistical methods by themselves were hopeless” in a multi-million dollar project on analyzing the conceptual metaphors in a vast corpus of US intelligence documents. University of California, Berkeley. This talk will go ove...
Publications | Understanding Language by Machines
http://www.understandinglanguagebymachines.org/publications
E van Miltenburg, R. Morante, and D. Elliott, “Pragmatic factors in image description: the case of negations,” in Proceedings of the 5th workshop on vision and language. 2016, pp. 54-59. E van Miltenburg, “Stereotyping and bias in the flickr30k dataset,” in Proceedings of multimodal corpora: computer vision and language processing (mmc 2016). 2016, pp. 1-4. Inproceedings{miltenburg2016stereotyping, author = {Emiel van Miltenburg}, booktitle = {Proceedings of Multimodal Corpora: Computer vision and langua...
Understanding Language by Machines | – an escape from the world of language – Spinoza Prize projects (2014-2019) Prof. dr. Piek Vo
http://www.understandinglanguagebymachines.org/page/2
An escape from the world of language -. Spinoza Prize projects (2014-2019). Prof dr. Piek Vossen. Understanding Language by Machines. Computational Lexicology and Terminology Lab. Language, Literature and Communication. De Boelelaan 1105, 1081 HV Amsterdam. For questions email contact. The project is divided into 4 subprojects. Each investigating a different aspect of assigning meaning:. The borders of ambiguity. Word, concept and the perception of images and sounds. A quantum model of text understanding.
— NLP analysis of “The art of the Humanities – Graduation day 2014” | Understanding Language by Machines
http://www.understandinglanguagebymachines.org/nlp-analysis-of-the-art-of-the-humanities-graduation-day-2014
NLP analysis of “The art of the Humanities – Graduation day 2014”. February 27, 2015. However, Inger Leemans. One of the speakers at the event, realized that all the theses together are a very interesting data set to analyse. She contacted us. To help analyse the theses. In this blog, I. Would like to present the most interesting results from the analysis. Description of the data set. On average, theses were 36.000 words long, with the departements of History and Communication being the most wordiest.
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A short CV « Prof. Dr. Piek Th.J.M. Vossen
http://vossen.info/a-short-cv
Unshared task @ 3rd Workshop on Argument Mining ACL2016. Invited member of Advisory Committee of Ammodo KNAW Award 2017. Summerschool Language in Interaction. Invited member of the SURFsara Adviesraad. Videos 2nd Spinoza workshop “Looking at the Long Tail” ONLINE now! ProfDr. Piek Th.J.M. Vossen. Ridder in de Orde van de Nederlandse Leeuw 2015. PhD Committees & Guests. Performances Sam & Niqee & Piek Vossen & Anja Weisscher. Dienst Marketing en Communicatie VU VFT, Fotograaf Riechelle van der Valk. Devel...
Understanding of Language by Machines (ULM) | CLTL
http://www.cltl.nl/projects/current-projects/understanding-of-language-by-machines-ulm
Computational Lexicology and Terminology Lab. Centres & Associations. Dutch Terminology Service Centre. Centre for Digital Humanities Amsterdam. Language, Knowledge and People in Perspective. Reading between the lines. Visualizing Uncertainty and Perspectives. Understanding of Language by Machines (ULM). VU University Research Fellow (URF). Can we Handle the News (EYR4). Mapping Notes and Nodes in Networks. From sentiments and opinions in texts to positions of political parties. The VU Sound Corpus.
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이해韓 – 기록문화유산 정보시각화를 통한 문화콘텐츠 연구 | 기록문화유산 정보시각화를 통한 문화콘텐츠 연구
기록문화유산은 단절된 과거 간극을 잇는 가교 역할을 합니다. 시간이 흐름에 따라 과거의 사람, 생각의 덩어리가 마치 눈 녹듯이 서서히 사라져 갑니다. 하지만 당시에 붓과 펜, 종이 등으로 남겨진 기록문화유산은 아직 우리에게 남겨져 있습니다. 막상 삶이 막연하고, 쉼 없이 뛰어가는 우리에게 기록문화유산은 어떤 가치가 있을까요? 이미 과거의 것이어서 무가치하다고 생각하는게 일반적이겠지요. 하지만 이해韓은 조금 다르게 생각합니다. 흩어진 데이터를 모으고, 그것이 아직 우리에게 유의미 하다는 것임을 밝히고, 끝으로 온라인으로 하여금 발견되게 하는 문화콘텐츠 연구를 통해 한 걸음씩 나아가고자 합니다. 기록문화유산은 그 시대의 세밀한 모습을 담고 있어 당시 사람들의 정체성을 밝히고 이를 오늘날 우리 세대와 공유할 수 있도록 해준다. 즉 문화의 간극을 잇는 가교 역할을 하고 있다. This is a unique website which will require a more modern browser to work!
My Website | Just another WordPress site
Just another WordPress site. Skip to primary content. Skip to secondary content. November 27, 2012. Welcome to WordPress. This is your first post. Edit or delete it, then start blogging! Proudly powered by WordPress.
understandinglanguagebymachines.org
Understanding Language by Machines | – an escape from the world of language – Spinoza Prize projects (2014-2019) Prof. dr. Piek Vo
An escape from the world of language -. Spinoza Prize projects (2014-2019). Prof dr. Piek Vossen. Understanding Language by Machines. Computational Lexicology and Terminology Lab. Language, Literature and Communication. De Boelelaan 1105, 1081 HV Amsterdam. For questions email contact. The project is divided into 4 subprojects. Each investigating a different aspect of assigning meaning:. The borders of ambiguity. The borders of ambiguity. Word, concept, perception and brain. From timelines to storylines.
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Understanding Laughter | A Resource and Forum for Those Interested in Laughter and Humor
A Resource and Forum for Those Interested in Laughter and Humor. 3 A CLOSER LOOK. This content is password protected. To view it please enter your password below:. This post is password protected. Enter the password to view any comments. This theme has been designed to be used with sidebars. This message will no longer be displayed after you add at least one widget to the Primary Widget Area using the Appearance- Widgets control panel. 2011 - John Charles Simon Consulting. Send to Email Address.
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Understanding Laura
I am a crunchy oddball with too many ideas and too little time. Do you get me now? Tuesday, December 20, 2011. Hello - Is It Me You're Looking For? I can not believe it has been as long as it has since I blogged. I put a lot of pressure on myself - trying to keep things "fair.". All that pressure made blogging no fun. I'm blogging today because I realize just how much I've let slip through my rotting brain and with no blog to refer to, I find myself wondering WHAT(? I began sewing on the side - a slow st...
Understanding Law School - From Getting Into Law School and Beyond
From Getting Into Law School and Beyond. The Ultimate 3 Steps of How to Get Into Law School. March 2, 2015. So you have already made up your mind. You want to go to law school. Before you start sending out law school applications, take a moment to consider the proper way of how to get into law school in 3 detailed steps. 1 Make Sure that You Actually Want to Get Into Law School. 2 Do As Best As You Can in Your Undergrad Studies. Here is an Amzaon link. The Ultimate 3 Steps of How to Get Into Law School.
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