research
∙
05/22/2023
MADNet: Maximizing Addressee Deduction Expectation for Multi-Party Conversation Generation
Modeling multi-party conversations (MPCs) with graph neural networks has...
share
research
∙
05/21/2023
SHINE: Syntax-augmented Hierarchical Interactive Encoder for Zero-shot Cross-lingual Information Extraction
Zero-shot cross-lingual information extraction(IE) aims at constructing ...
research
∙
05/19/2023
DiffuSIA: A Spiral Interaction Architecture for Encoder-Decoder Text Diffusion
Diffusion models have emerged as the new state-of-the-art family of deep...
research
∙
05/16/2023
GIFT: Graph-Induced Fine-Tuning for Multi-Party Conversation Understanding
Addressing the issues of who saying what to whom in multi-party conversa...
research
∙
05/04/2023
USTC-NELSLIP at SemEval-2023 Task 2: Statistical Construction and Dual Adaptation of Gazetteer for Multilingual Complex NER
This paper describes the system developed by the USTC-NELSLIP team for S...
research
∙
12/07/2022
WIDER CLOSER: Mixture of Short-channel Distillers for Zero-shot Cross-lingual Named Entity Recognition
Zero-shot cross-lingual named entity recognition (NER) aims at transferr...
research
∙
03/16/2022
TegTok: Augmenting Text Generation via Task-specific and Open-world Knowledge
Generating natural and informative texts has been a long-standing proble...
research
∙
03/16/2022
HeterMPC: A Heterogeneous Graph Neural Network for Response Generation in Multi-Party Conversations
Recently, various response generation models for two-party conversations...
research
∙
09/03/2021
Detecting Speaker Personas from Conversational Texts
Personas are useful for dialogue response prediction. However, the perso...
research
∙
06/03/2021
MPC-BERT: A Pre-Trained Language Model for Multi-Party Conversation Understanding
Recently, various neural models for multi-party conversation (MPC) have ...
research
∙
05/19/2021
Partner Matters! An Empirical Study on Fusing Personas for Personalized Response Selection in Retrieval-Based Chatbots
Persona can function as the prior knowledge for maintaining the consiste...
research
∙
12/22/2020
Learning to Retrieve Entity-Aware Knowledge and Generate Responses with Copy Mechanism for Task-Oriented Dialogue Systems
Task-oriented conversational modeling with unstructured knowledge access...
research
∙
04/30/2020
Filtering before Iteratively Referring for Knowledge-Grounded Response Selection in Retrieval-Based Chatbots
The challenges of building knowledge-grounded retrieval-based chatbots l...
research
∙
04/08/2020
DialBERT: A Hierarchical Pre-Trained Model for Conversation Disentanglement
Disentanglement is a problem in which multiple conversations occur in th...
research
∙
04/07/2020
Speaker-Aware BERT for Multi-Turn Response Selection in Retrieval-Based Chatbots
In this paper, we study the problem of employing pre-trained language mo...
research
∙
04/04/2020
Pre-Trained and Attention-Based Neural Networks for Building Noetic Task-Oriented Dialogue Systems
The NOESIS II challenge, as the Track 2 of the 8th Dialogue System Techn...
research
∙
02/01/2020
Fine-Tuning BERT for Schema-Guided Zero-Shot Dialogue State Tracking
We present our work on Track 4 in the Dialogue System Technology Challen...
research
∙
11/16/2019
Utterance-to-Utterance Interactive Matching Network for Multi-Turn Response Selection in Retrieval-Based Chatbots
This paper proposes an utterance-to-utterance interactive matching netwo...
research
∙
08/16/2019
Dually Interactive Matching Network for Personalized Response Selection in Retrieval-Based Chatbots
This paper proposes a dually interactive matching network (DIM) for pres...
research
∙
01/27/2019
Promoting Diversity for End-to-End Conversation Response Generation
We present our work on Track 2 in the Dialog System Technology Challenge...
research
∙
01/07/2019
Interactive Matching Network for Multi-Turn Response Selection in Retrieval-Based Chatbots
In this paper, we propose an interactive matching network (IMN) to enhan...
research
∙
12/03/2018
