Results 31 to 40 of about 2,273 (194)
Local Search and the Evolution of World Models
Topics in Cognitive Science, EarlyView., 2023 Abstract An open question regarding how people develop their models of the world is how new candidates are generated for consideration out of infinitely many possibilities. We discuss the role that evolutionary mechanisms play in this process. Specifically, we argue that when it comes to developing a global world model, innovation is necessarily ...
Neil R. Bramley +3 more
wiley +1 more source
Nested Selves: Self‐Organization and Shared Markov Blankets in Prenatal Development in Humans
Topics in Cognitive Science, EarlyView., 2023 Abstract The immune system is a central component of organismic function in humans. This paper addresses self‐organization of biological systems in relation to—and nested within—other biological systems in pregnancy. Pregnancy constitutes a fundamental state for human embodiment and a key step in the evolution and conservation of our species. While not
Anna Ciaunica +3 more
wiley +1 more source
IDCN: A Novel Interactive Dual Channel Network for Aspect Sentiment Triplet Extraction
IEEE Access, 2022 Aspect sentiment triplet extraction (ASTE) is one of the important subtasks of aspect-based sentiment analysis, it aims at detecting the aspect terms, opinion terms, and the corresponding sentiment polarity, simultaneously.
Ning Liu +4 more
doaj +1 more source
Explicit Interaction Network for Aspect Sentiment Triplet Extraction.
CoRR, 2021 Aspect Sentiment Triplet Extraction (ASTE) aims to recognize targets, their sentiment polarities and opinions explaining the sentiment from a sentence. ASTE could be naturally divided into 3 atom subtasks, namely target detection, opinion detection and sentiment classification.
Peiyi Wang +7 more
openaire +4 more sources
Aspect Sentiment Triplet Extraction Based on Linguistic Feature Enhancement [PDF]
Jisuanji gongchengAspect sentiment triplet extraction is an important subtask in aspect-level sentiment analysis aimed at extracting aspect words, opinion words, and sentiment polarity from sentences.
HUANG Zipeng, ZENG Biqing, CHEN Pengfei, ZHOU Siying
doaj +1 more source
Bidirectional Cascade Network for Aspect Sentiment Triplet Extraction [PDF]
Jisuanji gongchengAspect Sentiment Triplet Extraction(ASTE) is a subtask of aspect-based sentiment analysis. The goal is to extract all mentioned aspects, their corresponding opinions, and the sentiment polarity expressed, forming triplets from a given text sequence.
ZHENG Ayong, GU Xingsheng
doaj +1 more source
A dual relation-encoder network for aspect sentiment triplet extraction
Neurocomputing, Xia Sun
exaly +3 more sources
Aspect Sentiment Triplet Extraction Combining Chain-of-Thought and Low-Rank Adaptation Fine-Tuning [PDF]
Jisuanji gongchengThe Aspect Sentiment Triplet Extraction (ASTE) task is an important subtask of aspect-level sentiment analysis. Conventional supervised learning methods achieve SOTA or near-SOTA results in this task.
Biqing ZENG, Pengfei CHEN, Yongtao YAO
doaj +1 more source
A multi-round MRC framework incorporating prompt learning for aspect sentiment triple extraction [PDF]
PeerJ Computer ScienceAspect-based sentiment triplet extraction (ASTE) task is a burgeoning subtask of aspect-based sentiment analysis (ABSA), which involves extracting aspect terms, opinion expressions, and related sentiment polarities from texts.
Zhang Yuyao +3 more
doaj +2 more sources
, 2017 Syntactic parsing, the process of obtaining the internal structure of sentences in natural languages, is a crucial task for artificial intelligence applications that need to extract meaning from natural language text or speech.
Alonso-Alonso, Iago +2 more
core +1 more source