Jun Huang

Semantic Web Service Composition in Big Data Environment

2017

The widespread deployment of web services and rapid development of big data applications bring in new challenges to web service compositions in the context of big data. The large number of web services processing a …

Learning to Expand: Reinforced Pseudo-relevance Feedback Selection for Information-seeking Conversations

2020 · arXiv (Cornell University)

Information-seeking conversation systems are increasingly popular in real-world applications, especially for e-commerce companies. To retrieve appropriate responses for users, it is necessary to compute the matching degrees between candidate responses and users' queries with historical …

KEML: A Knowledge-Enriched Meta-Learning Framework for Lexical Relation Classification

2020 · arXiv (Cornell University)

Lexical relations describe how concepts are semantically related, in the form of relation triples. The accurate prediction of lexical relations between concepts is challenging, due to the sparsity of patterns indicating the existence of such …

Breaking the computation and communication abstraction barrier in distributed machine learning workloads

2022

Recent trends towards large machine learning models require both training and inference tasks to be distributed. Considering the huge cost of training these models, it is imperative to unlock optimizations in computation and communication to …

TransPrompt v2: Transferable Prompt-based Fine-tuning for Few-shot Text Classification

2022 · Research Square

Abstract Recent studies have shown that prompt-based fine-tuning improves the performance of large Pre-trained Language Models (PLMs) for few-shot text classification. Specifically, this type of method transforms the text classification task into the inherent Masked …

A Trustworthy View on XAI Method Evaluation

2022

As the demand grows to develop end-user trust in AI models, practitioners start to build and configure customized XAI (Explainable Artificial Intelligence) methods. The challenge is the lack of systematic evaluation of the newly proposed …

AliMe Chat: A Sequence to Sequence and Rerank based Chatbot Engine

2017

Minghui Qiu, Feng-Lin Li, Siyu Wang, Xing Gao, Yan Chen, Weipeng Zhao, Haiqing Chen, Jun Huang, Wei Chu. Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). 2017.

Modelling Domain Relationships for Transfer Learning on Retrieval-based Question Answering Systems in E-commerce

2018

Nowadays, it is a heated topic for many industries to build automatic question-answering (QA) systems. A key solution to these QA systems is to retrieve from a QA knowledge base the most similar question of …