Speaker and Webinar Details
Roberto Navigli is a full professor in the Department of Computer, Control and Management Engineering at the Sapienza University of Rome and the head of the Sapienza NLP Group. In 2007 he received a Ph.D. in Computer Science from "La Sapienza" (winner of the Marco Cadoli 2007 AI*IA prize for the Best Ph.D. Thesis in AI). In 2013 he received the Marco Somalvico AI*IA prize, awarded to the best young Italian researcher in AI, who has provided a significant, highly-innovative personal contribution in AI.
He is the creator of BabelNet, the largest multilingual encyclopedic computational dictionary, winner of the 2017 prominent paper award of the Artificial Intelligence Journal and the META prize, and covered by the Guardian and Time Magazine.
About The Webinar
Generationary and Exemplification Modeling :
In this talk I present two novel approaches, Generationary and Exemplification Modeling, that go beyond the mainstream assumption that word senses can be represented as discrete items of a predefined inventory, and put forward generative models which produce contextualized definitions and usage examples for arbitrary lexical items, from words to phrases. Generationary employs a novel span-based encoding scheme to fine-tune an English pre-trained Encoder-Decoder system and generate new definitions. Generationary outperforms previous approaches in the generative task of Definition Modeling in many settings, but it also matches or surpasses the state of the art in discriminative tasks such as Word Sense Disambiguation and Word-in-Context. Exemplification Modeling takes the opposite perspective: it puts forward a novel task and a seq2seq architecture which generates usage examples given one or more words with their sense definitions. In addition to their considerable degree of freedom in "understanding" lexical meanings, we show that both approaches benefit from training on definitions from multiple inventories, with strong gains across benchmarks.The video link is : https://www.youtube.com/embed/HvIbXwHWU_c?