activity
20082022
most citedAn expanded evaluation of protein function prediction methods shows an improvement in accuracy

457 citations · 747 across the 13 of their papers we have counts for

collaborators

16 papers

cs.CL2022★ 4 cited

Not another Negation Benchmark: The NaN-NLI Test Suite for Sub-clausal Negation

Thinh Hung Truong, Yulia Otmakhova, Timothy Baldwin +3

Negation is poorly captured by current language models, although the extent of this problem is not widely understood. We introduce a natural language inference (NLI) test suite to…

cs.LG2022

Large-scale protein-protein post-translational modification extraction with distant supervision and confidence calibrated BioBERT

Aparna Elangovan, Yuan Li, Douglas E. V. Pires +2

Protein-protein interactions (PPIs) are critical to normal cellular function and are related to many disease pathways. However, only 4% of PPIs are annotated with PTMs in biologica…

cs.CL2021

Impact of detecting clinical trial elements in exploration of COVID-19 literature

Simon Šuster, Karin Verspoor, Timothy Baldwin +4

The COVID-19 pandemic has driven ever-greater demand for tools which enable efficient exploration of biomedical literature. Although semi-structured information resulting from conc…

cs.CL2019★ 3 cited

SemEval-2017 Task 3: Community Question Answering

Preslav Nakov, Doris Hoogeveen, Lluís Màrquez +4

We describe SemEval-2017 Task 3 on Community Question Answering. This year, we reran the four subtasks from SemEval-2016:(A) Question-Comment Similarity,(B) Question-Question Simil…

cs.CL2019

Improving Chemical Named Entity Recognition in Patents with Contextualized Word Embeddings

Zenan Zhai, Dat Quoc Nguyen, Saber A. Akhondi +5

Chemical patents are an important resource for chemical information. However, few chemical Named Entity Recognition (NER) systems have been evaluated on patent documents, due in pa…

cs.LG2019★ 1 cited

A bag-of-concepts model improves relation extraction in a narrow knowledge domain with limited data

Jiyu Chen, Karin Verspoor, Zenan Zhai

This paper focuses on a traditional relation extraction task in the context of limited annotated data and a narrow knowledge domain. We explore this task with a clinical corpus con…