metric ID: microf1

Related Papers

Employing Text Matching Network to Recognise Nuclearity in Chinese Discourse

Authors: nan

Publication: TIPSTER (2018)

DOI: nan

AbstractThe task of nuclearity recognition in Chinese discourse remains challenging due to the demand for more deep semantic information. In this paper, we propose a novel text matching network (TMN) …...

5473

Explainable Prediction of Medical Codes from Clinical Text

Authors: nan

Publication: TIPSTER (2018)

DOI: nan

AbstractClinical notes are text documents that are created by clinicians for each patient encounter. They are typically accompanied by medical codes, which describe the diagnosis and treatment. Annotating these codes …...

20933

Hierarchical Transfer Learning for Multi-label Text Classification

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractMulti-Label Hierarchical Text Classification (MLHTC) is the task of categorizing documents into one or more topics organized in an hierarchical taxonomy. MLHTC can be formulated by combining multiple binary classification …...

37041

Document Classification for COVID-19 Literature

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractThe global pandemic has made it more important than ever to quickly and accurately retrieve relevant scientific literature for effective consumption by researchers in a wide range of fields. We …...

32151

SC-CoMIcs: A Superconductivity Corpus for Materials Informatics

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractThis paper describes a novel corpus tailored for the text mining of superconducting materials in Materials Informatics (MI), named SuperConductivety Corpus for Materials Informatics (SC-CoMIcs). Different from biomedical informatics, there …...

14012

Incorporating Domain Knowledge into Language Transformers for Multi-Label Classification of Chinese Medical Questions

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractIn this paper, we propose a knowledge infusion mechanism to incorporate domain knowledge into language transformers. Weakly supervised data is regarded as the main source for knowledge acquisition. We pre-train …...

1047

Multilingual Entity and Relation Extraction Dataset and Model

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractWe present a novel dataset and model for a multilingual setting to approach the task of Joint Entity and Relation Extraction. The SMiLER dataset consists of 1.1 M annotated sentences, …...

42649

Enhancing Chinese Multi-Label Text Classification Performance with Response-based Knowledge Distillation

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractIt’s difficult to optimize individual label performance of multi-label text classification, especially in those imbalanced data containing long-tailed labels. Therefore, this study proposes a response-based knowledge distillation mechanism comprising a …...

1031

Nested Named Entity Recognition with Span-level Graphs

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractSpan-based methods with the neural networks backbone have great potential for the nested named entity recognition (NER) problem. However, they face problems such as degenerating when positive instances and negative …...

39313

Who’s in, who’s out? Predicting the Inclusiveness or Exclusiveness of Personal Pronouns in Parliamentary Debates

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractThis paper presents a compositional annotation scheme to capture the clusivity properties of personal pronouns in context, that is their ability to construct and manage in-groups and out-groups by including/excluding …...

13263

TeamUnibo at SemEval-2023 Task 6: A transformer based approach to Rhetorical Roles prediction and NER in Legal Texts

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractThis study aims to tackle some challenges posed by legal texts in the field of NLP. The LegalEval challenge proposes three tasks, based on Indial Legal documents: Rhetorical Roles Prediction, …...

24931