Results 151 to 160 of about 2,214 (198)

Exploring a GPT-based large language model for variable autonomy in a VR-based human-robot teaming simulation. [PDF]

Front Robot AI
Lakhnati Y, Pascher M, Gerken J.
europepmc   +1 more source

The paradox of thermal vs. non-thermal effects in plasmonic photocatalysis. [PDF]

Nat Commun
Verma R, Sharma G, Polshettiwar V.
europepmc   +1 more source

The role of natural language processing in cancer care: a systematic scoping review with narrative synthesis

Sun M, Reiter E, Duncan L, Adam R.
europepmc   +1 more source

The Most Effective Interventions for Classification Model Development to Predict Chat Outcomes Based on the Conversation Content in Online Suicide Prevention Chats: Machine Learning Approach.

JMIR Ment Health
Salmi S, Mérelle S, Gilissen R, van der Mei R, Bhulai S.   +4 more
europepmc   +1 more source

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Neural transition model for aspect-based sentiment triplet extraction with triplet memory

Neurocomputing, 2021
Abstract The aspect-based sentiment triplet extraction (ASTE), as a complete sentiment analysis task, aims to recognize the aspect term, the opinion expression, and the sentiment polarity in a sentence. Current state-of-the-art ASTE models employ a joint extracting scheme for better task improvements.
Shengqiong Wu, Bobo Li, Dongdong Xie, Chong Teng, Donghong Ji   +4 more
openaire   +1 more source

Hierarchical Sequence Labeling Model for Aspect Sentiment Triplet Extraction

2020
Aspect sentiment triplet extraction is an emerging task in aspect-based sentiment analysis, which aims at simultaneously identifying the aspect, the opinion expression, and the sentiment from a given review sentence. Existing studies divide this task into many sub-tasks and process them in a pipeline manner, which ignores the relevance between ...
Peng Chen, Shaowei Chen, Jie Liu
openaire   +1 more source

Dual-Channel Span for Aspect Sentiment Triplet Extraction

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Pan Li, Ping Li, Kai Zhang
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Document-Level Sentiment Knowledge Transfer Network for Aspect Sentiment Triplet Extraction

2022 IEEE 34th International Conference on Tools with Artificial Intelligence (ICTAI), 2022
Long Tan, Zixian Su
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Multiscale feature aggregation network for aspect sentiment triplet extraction

Applied Intelligence, 2023
Linan Zhu, Minhao Xu, Zhechao Zhu, Yifei Xu, Xiangjie Kong   +4 more
openaire   +1 more source