1 code implementation • 26 Apr 2022 • Mor Geva, Avi Caciularu, Guy Dar, Paul Roit, Shoval Sadde, Micah Shlain, Bar Tamir, Yoav Goldberg
The opaque nature and unexplained behavior of transformer-based language models (LMs) have spurred a wide interest in interpreting their predictions.
no code implementations • ACL 2022 • Matan Eyal, Shoval Sadde, Hillel Taub-Tabib, Yoav Goldberg
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.
2 code implementations • ACL 2021 • Valentina Pyatkin, Shoval Sadde, Aynat Rubinstein, Paul Portner, Reut Tsarfaty
Modality is the linguistic ability to describe events with added information such as how desirable, plausible, or feasible they are.
no code implementations • WS 2020 • Hillel Taub-Tabib, Micah Shlain, Shoval Sadde, Dan Lahav, Matan Eyal, Yaara Cohen, Yoav Goldberg
We present a system that allows life-science researchers to search a linguistically annotated corpus of scientific texts using patterns over dependency graphs, as well as using patterns over token sequences and a powerful variant of boolean keyword queries.
no code implementations • ACL 2020 • Micah Shlain, Hillel Taub-Tabib, Shoval Sadde, Yoav Goldberg
A demo of the wikipedia system is available at: https://allenai. github. io/spike
no code implementations • IJCNLP 2019 • Reut Tsarfaty, Amit Seker, Shoval Sadde, Stav Klein
For languages with simple morphology, such as English, automatic annotation pipelines such as spaCy or Stanford's CoreNLP successfully serve projects in academia and the industry.