ELLIS Unit Stuttgart - Distinguished Lecture Series - Talk by Iryna Gurevych

"How to InterText? Elevating NLP to the cross-document level". Talk by Iryna Gurevych from TU Darmstadt. May 8, 2024, in person.

Abstract
While modern language models do a great job at finding documents, extracting information from them and generating naturally sounding language, the progress in helping humans read, connect, and make sense of interrelated long texts has been very much limited. Funded by the European Research Council, the InterText project brings natural language processing (NLP) forward by developing a general framework for modeling and analyzing fine-grained relationships between texts – intertextual relationships. This crucial milestone for AI would allow tracing the origin and evolution of texts and ideas and enable a new generation of AI applications for text work and critical reading. This talk will elaborate our intertextual approach to NLP using the scientific domain as a prototypical, challenging application area. Specifically, we will highlight two lines of our work. The first one is related to task design, practical applications and intricacies of data collection in the peer-review domain. The second one is about scientific text generation targeting (i) citation text and (ii) attitude and theme-guided rebuttals. To conclude, we will briefly describe our ongoing efforts towards fine-grained linking of multiple documents, temporal analysis of scientific datasets and research novelty modeling.