86 citations · 394 across the 25 of their papers we have counts for
5 papers · 1 filter
Investigating Text Simplification Evaluation
Laura Vásquez-Rodríguez, Matthew Shardlow, Piotr Przybyła +1
Modern text simplification (TS) heavily relies on the availability of gold standard data to build machine learning models. However, existing studies show that parallel TS corpora c…
EPICURE Ensemble Pretrained Models for Extracting Cancer Mutations from Literature
Jiarun Cao, Elke M van Veen, Niels Peek +2
To interpret the genetic profile present in a patient sample, it is necessary to know which mutations have important roles in the development of the corresponding cancer type. Name…
Distantly Supervised Relation Extraction with Sentence Reconstruction and Knowledge Base Priors
Fenia Christopoulou, Makoto Miwa, Sophia Ananiadou
We propose a multi-task, probabilistic approach to facilitate distantly supervised relation extraction by bringing closer the representations of sentences that contain the same Kno…
HSEarch: semantic search system for workplace accident reports
Emrah Inan, Paul Thompson, Tim Yates +1
Semantic search engines, which integrate the output of text mining (TM) methods, can significantly increase the ease and efficiency of finding relevant documents and locating impor…
SpanEmo: Casting Multi-label Emotion Classification as Span-prediction
Hassan Alhuzali, Sophia Ananiadou
Emotion recognition (ER) is an important task in Natural Language Processing (NLP), due to its high impact in real-world applications from health and well-being to author profiling…