Shoval Sadde — accepted AI-conference papers

2022

Large Scale Substitution-based Word Sense Induction

Matan Eyal, Shoval Sadde, Hillel Taub-Tabib, Yoav Goldberg

ACL 2022long

We present a word-sense induction method based on pre-trained masked language models (MLMs), which can cheaply scale to large vocabularies and large corpora. The result is a corpus which is sense-tagged according to a corpus-derived sense inventory and where each sense is associated with indicative…

Cited by 15 Source ↗PDF ↗code ↗Scholar ↗

2021

The Possible, the Plausible, and the Desirable: Event-Based Modality Detection for Language Processing

Valentina Pyatkin, Shoval Sadde, Aynat Rubinstein, Paul Portner, Reut Tsarfaty

ACL 2021long

Modality is the linguistic ability to describe vents with added information such as how desirable, plausible, or feasible they are. Modality is important for many NLP downstream tasks such as the detection of hedging, uncertainty, speculation, and more. Previous studies that address modality detecti…

Cited by 18 Source ↗PDF ↗code ↗Scholar ↗