Results 101 to 110 of about 379,251 (377)

Chinese Named Entity Recognition Method for Domain-Specific Text

Tehnički Vjesnik, 2023
The Chinese named entity recognition (NER) is a critical task in natural language processing, aiming at identifying and classifying named entities in text. However, the specificity of domain texts and the lack of large-scale labelled datasets have led to
He Liu, Yuekun Ma, Chang Gao, Jia Qi, Dezheng Zhang   +4 more
doaj   +1 more source

Chemical Identification and Indexing in PubMed Articles via BERT and Text-to-Text Approaches [PDF]

arXiv, 2021
The Biocreative VII Track-2 challenge consists of named entity recognition, entity-linking (or entity-normalization), and topic indexing tasks -- with entities and topics limited to chemicals for this challenge. Named entity recognition is a well-established problem and we achieve our best performance with BERT-based BioMegatron models.
arxiv  

MultiNERD: A Multilingual, Multi-Genre and Fine-Grained Dataset for Named Entity Recognition (and Disambiguation)

NAACL-HLT, 2022
Named Entity Recognition (NER) is the task of identifying named entities in texts and classify-ing them through specific semantic categories, a process which is crucial for a wide range of NLP applications. Current datasets for NER focus mainly on coarse-
Simone Tedeschi, Roberto Navigli
semanticscholar   +1 more source

Targeting the MDM2‐MDM4 interaction interface reveals an otherwise therapeutically active wild‐type p53 in colorectal cancer

Molecular Oncology, EarlyView.
This study investigates an alternative approach to reactivating the oncosuppressor p53 in cancer. A short peptide targeting the association of the two p53 inhibitors, MDM2 and MDM4, induces an otherwise therapeutically active p53 with unique features that promote cell death and potentially reduce toxicity towards proliferating nontumor cells.
Sonia Valentini, Giada Mele, Marika Attili, Maria Rita Assenza, Fulvio Saccoccia, Francesca Sardina, Cinzia Rinaldo, Roberto Massari, Nicola Tirelli, Alfredo Pontecorvi, Fabiola Moretti   +10 more
wiley   +1 more source

Taxonomy Expansion for Named Entity Recognition

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Training a Named Entity Recognition (NER) model often involves fixing a taxonomy of entity types. However, requirements evolve and we might need the NER model to recognize additional entity types. A simple approach is to re-annotate entire dataset with both existing and additional entity types and then train the model on the re-annotated dataset ...
K, Karthikeyan, Vyas, Yogarshi, Ma, Jie, Paolini, Giovanni, John, Neha, Wang, Shuai, Benajiba, Yassine, Castelli, Vittorio, Roth, Dan, Ballesteros, Miguel   +9 more
openaire   +2 more sources

The atypical KRASQ22K mutation directs TGF‐β response towards partial epithelial‐to‐mesenchymal transition in patient‐derived colorectal cancer tumoroids

Molecular Oncology, EarlyView.
TGF‐β has a complex role in cancer, exhibiting both tumor‐suppressive and tumor‐promoting properties. Using a series of differentiated tumoroids, derived from different stages and mutational background of colorectal cancer patients, we replicate this duality of TGF‐β in vitro. Notably, the atypical but highly aggressive KRASQ22K mutation rendered early‐
Theresia Mair, Philip König, Milena Mijović, Jessica Kalla, Anil Baskan, Loan Tran, Kristina Draganić, Pedro Morata Saldaña, Carlos Uziel Pérez Malla, Janette Pfneissl, Andreas Tiefenbacher, Julijan Kabiljo, Velina S. Atanasova, Lisa Wozelka‐Oltjan, Leonhard Müllauer, Michael Bergmann, Raheleh Sheibani‐Tezerji, Gerda Egger   +17 more
wiley   +1 more source

Entity-Switched Datasets: An Approach to Auditing the In-Domain Robustness of Named Entity Recognition Models [PDF]

arXiv, 2020
Named entity recognition systems perform well on standard datasets comprising English news. But given the paucity of data, it is difficult to draw conclusions about the robustness of systems with respect to recognizing a diverse set of entities. We propose a method for auditing the in-domain robustness of systems, focusing specifically on differences ...
arxiv  

Comparative activity of dimethyl fumarate derivative IDMF in three models relevant to multiple sclerosis and psoriasis

FEBS Open Bio, EarlyView.
IDMF is a derivative of dimethyl fumarate (DMF) with a unique therapeutic potential at the intersection of psoriasis and multiple sclerosis. Here, we demonstrate that it compares favorably with DMF and its other derivatives, such as Diroximel, in the zebrafish, microglia, and lymphocyte models.
Yulin He, Guiyi Gong, Geovani Quijas, Simon Ming‐Yuen Lee, Ratan K. Chaudhuri, Krzysztof Bojanowski   +5 more
wiley   +1 more source

Building strength for the long haul toward liberation: What psychology can contribute to the resilience of communities targeted by state‐sanctioned violence

American Journal of Community Psychology, Volume 70, Issue 3-4, Page 475-492, December 2022., 2022
Abstract State‐sanctioned violence (SSV) has resounding effects on entire populations, and marginalized communities have long persisted in the work toward liberation despite continued SSV. This paper aims to bridge the gap between the vast scholarship on resilience and the practical challenge of sustaining and thriving in communities targeted by SSV ...
Kris T. Gebhard, Stephanie Hargrove, Tahani Chaudhry, Syeda Y. Buchwach, Lauren B. Cattaneo   +4 more
wiley   +1 more source

Named Entity Recognition Based on Multi-scale Attention [PDF]

Jisuanji kexue yu tansuo
The accuracy of named entity recognition (NER) task will promote the research of multiple downstream tasks in natural language field. Due to a large number of nested semantics in text, named entities are recognized difficultly.
TANG Ruixue, QIN Yongbin, CHEN Yanping
doaj   +1 more source