1 citations · 1 across the 3 of their papers we have counts for
6 papers
A Dataset for N-ary Relation Extraction of Drug Combinations
Aryeh Tiktinsky, Vijay Viswanathan, Danna Niezni +5
Combination therapies have become the standard of care for diseases such as cancer, tuberculosis, malaria and HIV. However, the combinatorial set of available multi-drug treatments…
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…
Neural Extractive Search
Shauli Ravfogel, Hillel Taub-Tabib, Yoav Goldberg
Domain experts often need to extract structured information from large corpora. We advocate for a search paradigm called ``extractive search'', in which a search query is enriched…
Bootstrapping Relation Extractors using Syntactic Search by Examples
Matan Eyal, Asaf Amrami, Hillel Taub-Tabib +1
The advent of neural-networks in NLP brought with it substantial improvements in supervised relation extraction. However, obtaining a sufficient quantity of training data remains a…
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…