no code implementations • 4 Sep 2020 • Deng, y
Sublimable materials facilitate the TEM sample preparation of oil-soluble nanomaterials.
no code implementations • LREC 2020 • S Ritchie, y, Eoin Mahon, Kim Heiligenstein, Nikos Bampounis, Daan van Esch, Christian Schallhart, Jonas Mortensen, Benoit Brard
This paper presents a methodology for rapidly generating FST-based verbalizers for ASR and TTS systems by efficiently sourcing language-specific data.
no code implementations • LREC 2020 • M. Guo, y, Zihang Dai, Vr, Denny e{\v{c}}i{\'c}, Rami Al-Rfou
We released the cleaned-up text of 40+ Wikipedia language editions, the corresponding trained monolingual language models, and several multilingual language models with different fixed vocabulary sizes.
no code implementations • 20 Oct 2019 • P. K. Biswas, A. D. Hillier, R. P. Singh, N. Parzyk, G. Balakrishnan, M. R. Lees, C. D. Dewhurst, E. Morenzoni, y, D. McK. Paul
Analysing the local magnetic field distribution obtained from the muSR spectra we identify regions of a Meissner state where the applied magnetic field is entirely expelled from the sample, an intermediate state where normal and Meissner states coexist, and a mixed state where a well-defined flux-line lattice is formed.
Superconductivity
no code implementations • WS 2018 • Alonso Vasquez, Renzo Ego Aguirre, C Angulo, y, John Miller, Claudia Villanueva, {\v{Z}}eljko Agi{\'c}, Roberto Zariquiey, Arturo Oncevay
We present an initial version of the Universal Dependencies (UD) treebank for Shipibo-Konibo, the first South American, Amazonian, Panoan and Peruvian language with a resource built under UD.
no code implementations • RANLP 2017 • R Scansani, y, Silvia Bernardini, Adriano Ferraresi, Federico Gaspari, Marcello Soffritti
This paper describes an approach to translating course unit descriptions from Italian and German into English, using a phrase-based machine translation (MT) system.
no code implementations • LREC 2016 • Nurul Lubis, R Gomez, y, Sakriani Sakti, Keisuke Nakamura, Koichiro Yoshino, Satoshi Nakamura, Kazuhiro Nakadai
Emotional aspects play a vital role in making human communication a rich and dynamic experience.
no code implementations • LREC 2016 • Shigeyuki Sakaki, Francine Chen, M Korpusik, y, Yan-Ying Chen
These posts may include information about the purchase activity of people, and insights useful to companies can be derived from them: e. g. profile information of a user who mentioned something about their product.
no code implementations • LREC 2014 • Archna Bhatia, M Simons, y, Lori Levin, Yulia Tsvetkov, Chris Dyer, Jordan Bender
We present a definiteness annotation scheme that captures the semantic, pragmatic, and discourse information, which we call communicative functions, associated with linguistic descriptions such as {``}a story about my speech{''}, {``}the story{''}, {``}every time I give it{''}, {``}this slideshow{''}.