Search Results for author: Jianjun Li

Found 9 papers, 3 papers with code

UniTranSeR: A Unified Transformer Semantic Representation Framework for Multimodal Task-Oriented Dialog System

no code implementations ACL 2022 Zhiyuan Ma, Jianjun Li, GuoHui Li, Yongjing Cheng

Specifically, we first embed the multimodal features into a unified Transformer semantic space to prompt inter-modal interactions, and then devise a feature alignment and intention reasoning (FAIR) layer to perform cross-modal entity alignment and fine-grained key-value reasoning, so as to effectively identify user’s intention for generating more accurate responses.

Entity Alignment

Intention Reasoning Network for Multi-Domain End-to-end Task-Oriented Dialogue

no code implementations EMNLP 2021 Zhiyuan Ma, Jianjun Li, Zezheng Zhang, GuoHui Li, Yongjing Cheng

Based on such a mechanism, we further propose an intention reasoning network (IR-Net), which consists of joint and multi-hop reasoning, to obtain intention-aware representations of conceptual tokens that can be used to capture the concept shifts involved in task-oriented conversations, so as to effectively identify user’s intention and generate more accurate responses.

WCL-BBCD: A Contrastive Learning and Knowledge Graph Approach to Named Entity Recognition

no code implementations14 Mar 2022 Renjie Zhou, Qiang Hu, Jian Wan, Jilin Zhang, Qiang Liu, Tianxiang Hu, Jianjun Li

The model first trains the sentence pairs in the text, calculate similarity between words in sentence pairs by cosine similarity, and fine-tunes the BERT model used for the named entity recognition task through the similarity, so as to alleviate word ambiguity.

Contrastive Learning Knowledge Graphs +1

A Light Heterogeneous Graph Collaborative Filtering Model using Textual Information

1 code implementation4 Oct 2020 Chaoyang Wang, Zhiqiang Guo, GuoHui Li, Jianjun Li, Peng Pan, Ke Liu

Afterward, by performing a simplified RGCN-based node information propagation on the constructed heterogeneous graph, the embeddings of users and items can be adjusted with textual knowledge, which effectively alleviates the negative effects of data sparsity.

Collaborative Filtering Recommendation Systems +1

A Text-based Deep Reinforcement Learning Framework for Interactive Recommendation

1 code implementation14 Apr 2020 Chaoyang Wang, Zhiqiang Guo, Jianjun Li, Peng Pan, Guo-Hui Li

IRSs usually face the large discrete action space problem, which makes most of the existing RL-based recommendation methods inefficient.

Recommendation Systems reinforcement-learning

PSDNet and DPDNet: Efficient channel expansion, Depthwise-Pointwise-Depthwise Inverted Bottleneck Block

no code implementations3 Sep 2019 Guoqing Li, Meng Zhang, Qianru Zhang, Ziyang Chen, Wenzhao Liu, Jiaojie Li, Xuzhao Shen, Jianjun Li, Zhenyu Zhu, Chau Yuen

To design more efficient lightweight concolutional neural netwok, Depthwise-Pointwise-Depthwise inverted bottleneck block (DPD block) is proposed and DPDNet is designed by stacking DPD block.

Retrosynthesis with Attention-Based NMT Model and Chemical Analysis of the "Wrong" Predictions

no code implementations2 Aug 2019 Hongliang Duan, Ling Wang, Chengyun Zhang, Jianjun Li

We cast retrosynthesis as a machine translation problem by introducing a special Tensor2Tensor, an entire attention-based and fully data-driven model.

Machine Translation Translation

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