4 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.CL2023★ 4 cited
ESG Accountability Made Easy: DocQA at Your Service
Lokesh Mishra, Cesar Berrospi, Kasper Dinkla +11
We present Deep Search DocQA. This application enables information extraction from documents via a question-answering conversational assistant. The system integrates several techno…
cs.CL2023
Extracting Text Representations for Terms and Phrases in Technical Domains
Francesco Fusco, Diego Antognini
Extracting dense representations for terms and phrases is a task of great importance for knowledge discovery platforms targeting highly-technical fields. Dense representations are…
cs.CL2022★ 1 cited
Unsupervised Term Extraction for Highly Technical Domains
Francesco Fusco, Peter Staar, Diego Antognini
Term extraction is an information extraction task at the root of knowledge discovery platforms. Developing term extractors that are able to generalize across very diverse and poten…