2 citations · 5 across the 4 of their papers we have counts for
6 papers
LM-Debugger: An Interactive Tool for Inspection and Intervention in Transformer-Based Language Models
Mor Geva, Avi Caciularu, Guy Dar +5
The opaque nature and unexplained behavior of transformer-based language models (LMs) have spurred a wide interest in interpreting their predictions. However, current interpretatio…
Large Scale Substitution-based Word Sense Induction
Matan Eyal, Shoval Sadde, Hillel Taub-Tabib +1
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…
The Possible, the Plausible, and the Desirable: Event-Based Modality Detection for Language Processing
Valentina Pyatkin, Shoval Sadde, Aynat Rubinstein +2
Modality is the linguistic ability to describe events with added information such as how desirable, plausible, or feasible they are. Modality is important for many NLP downstream t…
Interactive Extractive Search over Biomedical Corpora
Hillel Taub-Tabib, Micah Shlain, Shoval Sadde +4
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 pat…
Syntactic Search by Example
Micah Shlain, Hillel Taub-Tabib, Shoval Sadde +1
We present a system that allows a user to search a large linguistically annotated corpus using syntactic patterns over dependency graphs. In contrast to previous attempts to this e…
What's Wrong with Hebrew NLP? And How to Make it Right
Reut Tsarfaty, Amit Seker, Shoval Sadde +1
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.…