Zhoujun Li

Learning from the past: Improving news summarization with past news articles

2015

One common approach to single-document news summarization involves scoring and ranking individual sentences within an input story. We demonstrate that the accuracy of this scoring process can be improved by looking beyond the text found …

Partially Shared Adversarial Learning For Semi-supervised Multi-platform User Identity Linkage

2019

With the increasing popularity and diversity of social media, users tend to join multiple social platforms to enjoy different types of services. User identity linkage, which aims to link identical identities across different social platforms, …

Learning to Copy Coherent Knowledge for Response Generation

2021 · Proceedings of the AAAI Conference on Artificial Intelligence

Knowledge-driven dialog has shown remarkable performance to alleviate the problem of generating uninformative responses in the dialog system. However, incorporating knowledge coherently and accurately into response generation is still far from being solved. Previous works …

Modeling Paragraph-Level Vision-Language Semantic Alignment for Multi-Modal Summarization

2022 · arXiv (Cornell University)

Most current multi-modal summarization methods follow a cascaded manner, where an off-the-shelf object detector is first used to extract visual features, then these features are fused with language representations to generate the summary with an …

TANet: Thread-Aware Pretraining for Abstractive Conversational Summarization

2022 · arXiv (Cornell University)

Although pre-trained language models (PLMs) have achieved great success and become a milestone in NLP, abstractive conversational summarization remains a challenging but less studied task. The difficulty lies in two aspects. One is the lack …

HanoiT: Enhancing Context-aware Translation via Selective Context

2023 · arXiv (Cornell University)

Context-aware neural machine translation aims to use the document-level context to improve translation quality. However, not all words in the context are helpful. The irrelevant or trivial words may bring some noise and distract the …

Hybrid CNN-Mamba Enhancement Network for Robust Multimodal Sentiment Analysis

2025 · arXiv (Cornell University)

Multimodal Sentiment Analysis (MSA) with missing modalities has recently attracted increasing attention. Although existing research mainly focuses on designing complex model architectures to handle incomplete data, it still faces significant challenges in effectively aligning and …

Neural Response Generation With Dynamic Vocabularies

2018 · Proceedings of the AAAI Conference on Artificial Intelligence

We study response generation for open domain conversation in chatbots. Existing methods assume that words in responses are generated from an identical vocabulary regardless of their inputs, which not only makes them vulnerable to generic …

Keyphrase Generation with Correlation Constraints

2018

In this paper, we study automatic keyphrase generation.

Sequential Matching Network: A New Architecture for Multi-turn Response Selection in Retrieval-Based Chatbots

2017

We study response selection for multiturn conversation in retrieval-based chatbots. Existing work either concatenates utterances in context or matches a response with a highly abstract context vector finally, which may lose relationships among utterances or …

Response Generation by Context-Aware Prototype Editing

2019 · Proceedings of the AAAI Conference on Artificial Intelligence

Open domain response generation has achieved remarkable progress in recent years, but sometimes yields short and uninformative responses. We propose a new paradigm, prototypethen-edit for response generation, that first retrieves a prototype response from a …