Results 81 to 90 of about 2,273 (194)

π‐Expanded Nitrogen‐Cation (N+)‐Doped Polycyclic Aromatic Hydrocarbons: A Review of Intramolecular Cyclization Routes to Benzo[c]Quinolizinium, Triazinium, Pyridoquinazolinium, and Pyridoquinoxalinium Frameworks

European Journal of Organic Chemistry, Volume 29, Issue 4, January 26, 2026.
This review surveys recent progress in the synthesis of extended aromatic quinolizinium derivatives via intramolecular SNAr and oxidative 6π‐electrocyclization. Conventional thermal approaches are discussed alongside emerging, sustainable activation methods such as electrosynthesis and photochemical processes.
Marine Labro, Cyrille Monnereau, Laure Guy   +2 more
wiley   +1 more source

Integrating Technical Analysis into Sentiment Analysis: An ASTE Framework for Electric Car Purchase Decision Support Based on LLMs and Semantic BNF [PDF]

This study enhances Aspect Sentiment Triplet Extraction (ASTE) by integrating Large Language Models (LLMs) and a semantic Backus-Naur Form (BNF) framework to analyze expert reviews on electric vehicles. A 2-tuple fuzzy linguistic model improves sentiment
Carmona Martínez, María de las Mercedes, Carrasco Aguilar, Álvaro, Parra Meroño, María Concepción, Souto Romero, Mar   +3 more
core   +1 more source

Accuracy and Scaling Factors of Non‐Empirical Double‐Hybrid Density Functionals for Harmonic and Fundamental Frequencies (And ZPVE)

Journal of Computational Chemistry, Volume 47, Issue 1, 05 January 2026.
Scaled factors for non‐empirical double‐hybrid density functionals (i.e., the QIDH family of models) provide average errors of 20 cm−1$$ 20\ {\mathrm{cm}}^{-1} $$ for ahrmonic and fundamental frequencies and 0.1 kcal/mol for ZPVE. ABSTRACT We obtain here scaling factors for harmonic and fundamental vibrational frequencies, as well as for Zero‐Point ...
B. Miguel, E. Brémond, A. J. Pérez‐Jiménez, C. Adamo, J. C. Sancho‐García   +4 more
wiley   +1 more source

Measuring Your ASTE Models in The Wild: A Diversified Multi-domain Dataset For Aspect Sentiment Triplet Extraction

, 2023
Aspect Sentiment Triplet Extraction (ASTE) is widely used in various applications. However, existing ASTE datasets are limited in their ability to represent real-world scenarios, hindering the advancement of research in this area.
Chen, Jiaze, Dai, Xinyu, Wu, Zhen, Xu, Ting, Yang, Huiyun, Zhao, Fei   +5 more
core  

Entity-Aspect-Opinion-Sentiment Quadruple Extraction for Fine-grained Sentiment Analysis

, 2023
Product reviews often contain a large number of implicit aspects and object-attribute co-existence cases. Unfortunately, many existing studies in Aspect-Based Sentiment Analysis (ABSA) have overlooked this issue, which can make it difficult to extract ...
Cao, Xuezhi, Ma, Dan, Wang, Zongyu, Xian, Yunsen, Xu, Jun   +4 more
core  

PASTE: A Tagging-Free Decoding Framework Using Pointer Networks for\n Aspect Sentiment Triplet Extraction [PDF]

, 2021
Rajdeep Mukherjee, Tapas R. Nayak, Yash Butala, Sourangshu Bhattacharya, Pawan Goyal   +4 more
openalex   +1 more source

A Weak Supervision Approach for Few-Shot Aspect Based Sentiment Analysis [PDF]

We explore how weak supervision on abundant unlabeled data can be leveraged to improve few-shot performance in aspect-based sentiment analysis (ABSA) tasks.
Ballesteros M., Halder K., John N. A., Muresan S., Paolini G., Vacareanu R., Varia S., Wang S.   +7 more
core  

CNM: An Interpretable Complex-valued Network for Matching

, 2019
This paper seeks to model human language by the mathematical framework of quantum physics. With the well-designed mathematical formulations in quantum physics, this framework unifies different linguistic units in a single complex-valued vector space, e.g.
Li, Qiuchi, Melucci, Massimo, Wang, Benyou   +2 more
core  

MEMD-ABSA: A Multi-Element Multi-Domain Dataset for Aspect-Based Sentiment Analysis

, 2023
Aspect-based sentiment analysis is a long-standing research interest in the field of opinion mining, and in recent years, researchers have gradually shifted their focus from simple ABSA subtasks to end-to-end multi-element ABSA tasks.
Cai, Hongjie, Li, Ke, Liu, Shijie, Song, Nan, Wang, Zengzhi, Wu, Siwei, Xia, Rui, Xie, Qiming, Yu, Jianfei, Zhao, Qiankun   +9 more
core  

PASTE: A Tagging-Free Decoding Framework Using Pointer Networks for Aspect Sentiment Triplet Extraction [PDF]

, 2021
Rajdeep Mukherjee, Tapas Nayak, Yash Butala, Sourangshu Bhattacharya, Pawan Goyal   +4 more
openalex   +1 more source