The Possible, the Plausible, and the Desirable: Event-Based Modality Detection for Language Processing Valentina Pyatkin∗ Shoval Sadde∗ Aynat Rubinstein Bar Ilan University Bar Ilan University Hebrew University of Jerusalem
[email protected] [email protected] [email protected] Paul Portner Reut Tsarfaty Georgetown University Bar Ilan University
[email protected] [email protected] Abstract (1) a. We presented a paper at ACL’19. Modality is the linguistic ability to describe b. We did not present a paper at ACL’20. events with added information such as how de- sirable, plausible, or feasible they are. Modal- The propositional content p =“present a paper at ity is important for many NLP downstream ACL’X” can be easily verified for sentences (1a)- tasks such as the detection of hedging, uncer- (1b) by looking up the proceedings of the confer- tainty, speculation, and more. Previous studies ence to (dis)prove the existence of the relevant pub- that address modality detection in NLP often p restrict modal expressions to a closed syntac- lication. The same proposition is still referred to tic class, and the modal sense labels are vastly in sentences (2a)–(2d), but now in each one, p is different across different studies, lacking an ac- described from a different perspective: cepted standard. Furthermore, these senses are often analyzed independently of the events that (2) a. We aim to present a paper at ACL’21. they modify. This work builds on the theoreti- b. We want to present a paper at ACL’21. cal foundations of the Georgetown Gradable Modal Expressions (GME) work by Rubin- c.