activity
20132024
most citedFindZebra: A search engine for rare diseases

106 citations · 271 across the 29 of their papers we have counts for

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Showing cs.CLShow all

11 papers · 1 filter

cs.CL20242 cited

Joint Extraction and Classification of Danish Competences for Job Matching

Qiuchi Li, Christina Lioma

The matching of competences, such as skills, occupations or knowledges, is a key desiderata for candidates to be fit for jobs. Automatic extraction of competences from CVs and Jobs…

cs.CL20221 cited

Template-based Recruitment Email Generation For Job Recommendation

Qiuchi Li, Christina Lioma

Text generation has long been a popular research topic in NLP. However, the task of generating recruitment emails from recruiters to candidates in the job recommendation scenario h…

cs.CL2022

Fact Checking with Insufficient Evidence

Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma +1

Automating the fact checking (FC) process relies on information obtained from external sources. In this work, we posit that it is crucial for FC models to make veracity predictions…

cs.CL2020

Multi-Head Self-Attention with Role-Guided Masks

Dongsheng Wang, Casper Hansen, Lucas Chaves Lima +4

The state of the art in learning meaningful semantic representations of words is the Transformer model and its attention mechanisms. Simply put, the attention mechanisms learn to a…

cs.CL20201 cited

A Diagnostic Study of Explainability Techniques for Text Classification

Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma +1

Recent developments in machine learning have introduced models that approach human performance at the cost of increased architectural complexity. Efforts to make the rationales beh…

cs.CL2020

Generating Fact Checking Explanations

Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma +1

Most existing work on automated fact checking is concerned with predicting the veracity of claims based on metadata, social network spread, language used in claims, and, more recen…