1 code implementation • COLING 2022 • Minghao Xu, Daling Wang, Shi Feng, Zhenfei Yang, Yifei Zhang
Moreover, to verify the generality of the model, we also conduct experiments on two common sentiment analysis datasets.
no code implementations • COLING 2022 • Dongshi Ju, Shi Feng, Pengcheng Lv, Daling Wang, Yifei Zhang
In an open-domain dialogue system, the consistent persona is a key factor to generate real and coherent dialogues.
1 code implementation • 13 Oct 2023 • Xiaocui Yang, Wenfang Wu, Shi Feng, Ming Wang, Daling Wang, Yang Li, Qi Sun, Yifei Zhang, XiaoMing Fu, Soujanya Poria
Consequently, our work complements research on the performance of MLLMs in multimodal comprehension tasks, achieving a more comprehensive and holistic evaluation of MLLMs.
1 code implementation • 28 Sep 2023 • Ming Wang, Daling Wang, Wenfang Wu, Shi Feng, Yifei Zhang
However, the application of CEs has been hindered by two main challenges, namely general user preferences and variable ML systems.
1 code implementation • 29 Jul 2023 • Ming Wang, Wenfang Wu, Chongyun Gao, Daling Wang, Shi Feng, Yifei Zhang
Large language models (LLMs) have received increasing attention.
no code implementations • 24 May 2023 • Yongkang Liu, Shi Feng, Daling Wang, Yifei Zhang, Hinrich Schütze
There are risks in using eference-free evaluators based on LLMs to evaluate the quality of dialogue responses.
no code implementations • 18 Dec 2022 • Yongkang Liu, Shi Feng, Daling Wang, Yifei Zhang, Hinrich Schütze
We investigate response generation for multi-turn dialogue in generative-based chatbots.
1 code implementation • 12 Nov 2022 • Xiaocui Yang, Shi Feng, Daling Wang, Pengfei Hong, Soujanya Poria
To tackle this problem, we propose a novel method called Multimodal Probabilistic Fusion Prompts (MultiPoint) that leverages diverse cues from different modalities for multimodal sentiment detection in the few-shot scenario.
1 code implementation • 8 Nov 2022 • Qian Li, Shafiq Joty, Daling Wang, Shi Feng, Yifei Zhang
Sparsity of formal knowledge and roughness of non-ontological construction make sparsity problem particularly prominent in Open Knowledge Graphs (OpenKGs).
no code implementations • 25 Oct 2022 • Yongkang Liu, Shi Feng, Wei Gao, Daling Wang, Yifei Zhang
Current end-to-end retrieval-based dialogue systems are mainly based on Recurrent Neural Networks or Transformers with attention mechanisms.
1 code implementation • COLING 2022 • Yongkang Liu, Shi Feng, Daling Wang, Yifei Zhang
Building dialogue generation systems in a zero-shot scenario remains a huge challenge, since the typical zero-shot approaches in dialogue generation rely heavily on large-scale pre-trained language generation models such as GPT-3 and T5.
1 code implementation • ACL 2021 • Xiaocui Yang, Shi Feng, Yifei Zhang, Daling Wang
In this paper, we propose Multi-channel Graph Neural Networks with Sentiment-awareness (MGNNS) for image-text sentiment detection.
no code implementations • 21 Dec 2020 • Yongkang Liu, Shi Feng, Daling Wang, Kaisong Song, Feiliang Ren, Yifei Zhang
We investigate response selection for multi-turn conversation in retrieval-based chatbots.
no code implementations • IJCNLP 2019 • Weichao Wang, Shi Feng, Daling Wang, Yifei Zhang
We observe that the answer has strong semantic coherence to its question and post, which can be used to guide question generation.
no code implementations • WS 2019 • Qian Li, Hui Su, Cheng Niu, Daling Wang, Zekang Li, Shi Feng, Yifei Zhang
Moreover, pretraining is essential in reinforcement learning models, so we provide a high-quality annotated dataset for question reformulation by sampling a part of QuAC dataset.
no code implementations • EMNLP 2018 • Weichao Wang, Shi Feng, Wei Gao, Daling Wang, Yifei Zhang
Then the attention-based CNN model is incorporated into a novel adversarial cross-lingual learning framework, in which with the help of user properties as bridge between languages, we can extract the language-specific features and language-independent features to enrich the user post representation so as to alleviate the data insufficiency problem.
no code implementations • EMNLP 2018 • Xiangju Li, Kaisong Song, Shi Feng, Daling Wang, Yifei Zhang
Emotion cause analysis has been a key topic in natural language processing.