Results 81 to 90 of about 4,967,798 (324)

A Multi-Stance Detection Method by Fusing Sentiment Features

Applied Sciences
Stance information has a significant influence on market strategy, government policy, and public opinion. Users differ not only in their polarity but also in the degree to which they take a stand. The traditional classification of stances is quite simple
Weidong Huang, Jinyuan Yang
doaj   +1 more source

Intravitreal GD2‐Specific Chimeric Antigen Receptor T‐Cell Therapy for Refractory Retinoblastoma

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Effective treatments for advanced, treatment‐resistant retinoblastoma (RB) remain limited. GD2‐specific chimeric antigen receptor (CAR) T cells show potent antitumor activity with minimal toxicity but have not previously been evaluated in RB.
Subongkoch Subhadhirasakul, Jatuporn Sujjitjoon, Pa‐thai Yenchitsomanus, Kridtin Jarutatsanangkoon, Ng Wei Loon, Kleebsabai Sanpakit, Jassada Buaboonnam, Chayamon Takpradit, Pornpimon Yuti, Nunghathai Sawasdee, Piriya Luangwattananun, Siripakorn Sangkitporn, Arnan Limmahachai, La‐ongsri Atchaneeyasakul   +13 more
wiley   +1 more source

Perception of Lower Extremity Loads in Stroke Survivors [PDF]

, 2015
Objective: This study aimed to improve our understanding of static and dynamic lower extremity sensory perception and the impact of sensory impairments on the control of walking in stroke survivors. Methods: Using a custom, real-time unloading system, we
Chu, Virginia W., Hornby, T. George, Schmit, Brian D.   +2 more
core   +1 more source

NRASQ61R Expression in Lymphatic Endothelial Cells Causes Enlarged Vessels, Hemorrhagic Chylous Effusions, and High Mortality in a Mouse Model of Kaposiform Lymphangiomatosis

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Kaposiform lymphangiomatosis (KLA) is an aggressive complex lymphatic anomaly. Patients exhibit malformed lymphatic vessels and often develop hemorrhagic effusions and elevated angiopoietin‐2 (Ang‐2) levels. A somatic NRAS p.Q61R (NRASQ61R) mutation has been associated with KLA.
C. Griffin McDaniel, Patricia Pastura, Joshua P. Scallan, Timothy D. Le Cras   +3 more
wiley   +1 more source

Adversarial Domain Adaptation for Stance Detection

CoRR, 2019
This paper studies the problem of stance detection which aims to predict the perspective (or stance) of a given document with respect to a given claim. Stance detection is a major component of automated fact checking. As annotating stances in different domains is a tedious and costly task, automatic methods based on machine learning are viable ...
Brian Xu, Mitra Mohtarami, James R. Glass   +2 more
openaire   +2 more sources

Semantic Sentiment Analysis of Twitter Data

, 2017
Internet and the proliferation of smart mobile devices have changed the way information is created, shared, and spreads, e.g., microblogs such as Twitter, weblogs such as LiveJournal, social networks such as Facebook, and instant messengers such as Skype
B Jansen, B Liu, B Pang, F Sebastiani, G Forman, J Bollen, J Villena-Roman, J Wiebe, J Wiebe, JW Pennebaker, KW Church, P Nakov, PJ Stone, S Burton, S Kiritchenko, SR Das   +15 more
core   +1 more source

Pulmonary Dysfunction Is Associated With Sleep Study Abnormalities in Children With Sickle Cell Disease: A Multicenter Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Pulmonary dysfunction and sleep abnormalities are common in children with sickle cell disease (SCD) and are associated with worse clinical outcomes. Whether spirometry abnormalities are associated with polysomnography (PSG) findings remains unclear.
Ammar Saadoon Alishlash, Anis Rabbani Nourani, A. K. M. Fazlur Rahman, Dima Ezmigna, Tarig Ali‐Dinar   +4 more
wiley   +1 more source

Chain of Stance: Stance Detection with Large Language Models

Stance detection is an active task in natural language processing (NLP) that aims to identify the author's stance towards a particular target within a text. Given the remarkable language understanding capabilities and encyclopedic prior knowledge of large language models (LLMs), how to explore the potential of LLMs in stance detection has received ...
Junxia Ma, Changjiang Wang, Hanwen Xing, Dongming Zhao, Yazhou Zhang   +4 more
openaire   +2 more sources

Deep Memory Networks for Attitude Identification

, 2017
We consider the task of identifying attitudes towards a given set of entities from text. Conventionally, this task is decomposed into two separate subtasks: target detection that identifies whether each entity is mentioned in the text, either explicitly ...
Chang C.-C., Collobert R., De Marneffe M.-C., Faulkner A., Gimpel K., Glorot X., Hasan K. S., Hermann K. M., Irsoy O., Jiang L., Kingma D., Kobayashi N., Le Q. V., Li F., Mikolov T., Mohammad S. M., Popescu A., Socher R., Socher R., Sukhbaatar S., Vo D.-T., Walker M. A., Wang S., Zhang M., Zirn C.   +24 more
core   +1 more source

Cross-Target Stance Detection by Exploiting Target Analytical Perspectives [PDF]

IEEE International Conference on Acoustics, Speech, and Signal Processing
Cross-target stance detection (CTSD) is an important task, which infers the attitude of the destination target by utilizing annotated data derived from the source target.
Daijun Ding, Rongpeng Chen, Liwen Jing, Bowen Zhang, Xu Huang, Li Dong, Xiaowen Zhao, Ge Song   +7 more
semanticscholar   +1 more source