no code implementations • Findings (EMNLP) 2021 • Yaochen Liu, Yazhou Zhang, Qiuchi Li, Benyou Wang, Dawei Song
The QPM framework involves a complex-valued multi-modal representation encoder, a quantum-like fusion subnetwork and a quantum measurement mechanism.
no code implementations • 12 Feb 2024 • Yazhou Zhang, Mengyao Wang, Chenyu Ren, Qiuchi Li, Prayag Tiwari, Benyou Wang, Jing Qin
The value of text classification's future research has encountered challenges and uncertainties, due to the extraordinary efficacy demonstrated by large language models (LLMs) across numerous downstream NLP tasks.
no code implementations • 26 Jan 2024 • Xiansong Meng, Deming Kong, Kwangwoong Kim, Qiuchi Li, Po Dong, Ingemar J. Cox, Christina Lioma, Hao Hu
Here, we propose a digital-analog hybrid optical computing architecture for ONNs, which utilizes digital optical inputs in the form of binary words.
1 code implementation • 17 Oct 2023 • Yazhou Zhang, Mengyao Wang, Youxi Wu, Prayag Tiwari, Qiuchi Li, Benyou Wang, Jing Qin
Large language models (LLMs) and their variants have shown extraordinary efficacy across numerous downstream natural language processing (NLP) tasks, which has presented a new vision for the development of NLP.
no code implementations • 6 Jun 2023 • Yaochen Liu, Qiuchi Li, Benyou Wang, Yazhou Zhang, Dawei Song
Quantum theory, originally proposed as a physical theory to describe the motions of microscopic particles, has been applied to various non-physics domains involving human cognition and decision-making that are inherently uncertain and exhibit certain non-classical, quantum-like characteristics.
no code implementations • 24 Feb 2023 • Qiuchi Li, Benyou Wang, Yudong Zhu, Christina Lioma, Qun Liu
The emerging classical-quantum transfer learning paradigm has brought a decent performance to quantum computational models in many tasks, such as computer vision, by enabling a combination of quantum models and classical pre-trained neural networks.
no code implementations • 6 Dec 2022 • Qiuchi Li, Christina Lioma
Text generation has long been a popular research topic in NLP.
no code implementations • 12 Jan 2021 • Dimitris Gkoumas, Qiuchi Li, Shahram Dehdashti, Massimo Melucci, Yijun Yu, Dawei Song
Thus the cognitive process exhibits "quantum-like" biases that cannot be captured by classical probability theories.
3 code implementations • Findings of the Association for Computational Linguistics 2020 • Chen Zhang, Qiuchi Li, Dawei Song, Benyou Wang
The state-of-the-art Aspect-based Sentiment Analysis (ABSA) approaches are mainly based on either detecting aspect terms and their corresponding sentiment polarities, or co-extracting aspect and opinion terms.
Aspect-Based Sentiment Analysis Aspect Sentiment Triplet Extraction +2
2 code implementations • 25 Feb 2020 • Haolin Song, Chen Zhang, Qiuchi Li, Dawei Song
Specifically, our model regards pair extraction as a link prediction task, and learns to link from emotion clauses to cause clauses, i. e., the links are directional.
Ranked #12 on Emotion-Cause Pair Extraction on ECPE
no code implementations • 18 Feb 2020 • Cheng Zhang, Qiuchi Li, Lingyu Hua, Dawei Song
To tackle the problem, in this paper, we identify and analyze the internal and external factors that affect the memory ability of RNNs, and propose a Semantic Euclidean Space to represent the semantics expressed by a sequence.
1 code implementation • ICLR 2020 • Benyou Wang, Donghao Zhao, Christina Lioma, Qiuchi Li, Peng Zhang, Jakob Grue Simonsen
The benefit of continuous functions over variable positions is that word representations shift smoothly with increasing positions.
1 code implementation • 23 Sep 2019 • Chen Zhang, Qiuchi Li, Dawei Song
It has been widely accepted that Long Short-Term Memory (LSTM) network, coupled with attention mechanism and memory module, is useful for aspect-level sentiment classification.
2 code implementations • IJCNLP 2019 • Chen Zhang, Qiuchi Li, Dawei Song
Due to their inherent capability in semantic alignment of aspects and their context words, attention mechanism and Convolutional Neural Networks (CNNs) are widely applied for aspect-based sentiment classification.
1 code implementation • NAACL 2019 • Qiuchi Li, Benyou Wang, Massimo Melucci
This paper seeks to model human language by the mathematical framework of quantum physics.
1 code implementation • 26 Feb 2019 • Benyou Wang, Qiuchi Li, Massimo Melucci, Dawei Song
To address this issue, we propose a new framework that models different levels of semantic units (e. g. sememe, word, sentence, and semantic abstraction) on a single \textit{Semantic Hilbert Space}, which naturally admits a non-linear semantic composition by means of a complex-valued vector word representation.
no code implementations • WS 2018 • Qiuchi Li, Sagar Uprety, Benyou Wang, Dawei Song
A challenging task for word embeddings is to capture the emergent meaning or polarity of a combination of individual words.