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Natural language processing

Gaussian hierarchical latent Dirichlet allocation: Bringing polysemy back

Takahiro Yoshida, Ryohei Hisano, Takaaki Ohnishi

PET: Parameter-efficient Knowledge Distillation on Transformer

Hyojin Jeon, Seungcheol Park, Jin-Gee Kim, U. Kang

Cracking double-blind review: Authorship attribution with deep learning

Leonard Bauersfeld, Angel Romero, Manasi Muglikar, Davide Scaramuzza

Extraction of use case diagram elements using natural language processing and network science

Maryam Imtiaz Malik, Muddassar Azam Sindhu, Rabeeh Ayaz Abbasi

Identify novel elements of knowledge with word embedding

Deyun Yin, Zhao Wu, [ ... ], Sotaro Shibayama

Multi-ancestry genome- and phenome-wide association studies of diverticular disease in electronic health records with natural language processing enriched phenotyping algorithm

Yoonjung Yoonie Joo, Jennifer A. Pacheco, [ ... ], Abel N. Kho

Public sentiment analysis on urban regeneration: A massive data study based on sentiment knowledge enhanced pre-training and latent Dirichlet allocation

Kehao Chen, Guiyu Wei

Using 10-K text to gauge COVID-related corporate disclosure

Shantanu Dutta, Ashok Kumar, [ ... ], Moumita Dutta

Drivers of the decrease of patent similarities from 1976 to 2021

Edoardo Filippi-Mazzola, Federica Bianchi, Ernst C. Wit

Design considerations for a hierarchical semantic compositional framework for medical natural language understanding

Ricky K. Taira, Anders O. Garlid, William Speier

Enhanced geocoding precision for location inference of tweet text using spaCy, Nominatim and Google Maps. A comparative analysis of the influence of data selection

Helen Ngonidzashe Serere, Bernd Resch, Clemens Rudolf Havas

An effective emotion tendency perception model in empathic dialogue

Jiancu Chen, Siyuan Yang, Jiang Xiong, Yiping Xiong

Extracting patient-level data from the electronic health record: Expanding opportunities for health system research

Erica Farrand, Harold R. Collard, [ ... ], Carlos Iribarren

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