Xiaodong He

From Eliza to XiaoIce: Challenges and Opportunities with Social Chatbots

2018 · arXiv (Cornell University)

Conversational systems have come a long way since their inception in the 1960s. After decades of research and development, we've seen progress from Eliza and Parry in the 60's and 70's, to task-completion systems as …

Deep Reinforcement Learning with a Natural Language Action Space

2016

Ji He, Jianshu Chen, Xiaodong He, Jianfeng Gao, Lihong Li, Li Deng, Mari Ostendorf. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2016.

Improving Prosody Modelling with Cross-Utterance BERT Embeddings for End-to-end Speech Synthesis

2020 · arXiv (Cornell University)

Despite prosody is related to the linguistic information up to the discourse structure, most text-to-speech (TTS) systems only take into account that within each sentence, which makes it challenging when converting a paragraph of texts …

Selective Attention Based Graph Convolutional Networks for Aspect-Level Sentiment Classification

2021

Recent work on aspect-level sentiment classification has employed Graph Convolutional Networks (GCN) over dependency trees to learn interactions between aspect terms and opinion words. In some cases, the corresponding opinion words for an aspect term …

MuGER2: Multi-Granularity Evidence Retrieval and Reasoning for Hybrid Question Answering

2022

Hybrid question answering (HQA) aims to answer questions over heterogeneous data, including tables and passages linked to table cells. The heterogeneous data can provide different granularity evidence to HQA models, e.t., column, row, cell, and …

Utilizing Contextual Clues and Role Correlations for Enhancing Document-Level Event Argument Extraction

2025 · IEEE Transactions on Audio Speech and Language Processing

Document-level event argument extraction is a crucial yet challenging task within the field of information extraction. Current mainstream approaches primarily focus on the information interaction between event triggers and their arguments, facing two limitations: insufficient …

A Multi-View Deep Learning Approach for Cross Domain User Modeling in Recommendation Systems

2015

Recent online services rely heavily on automatic personalization to recommend relevant content to a large number of users. This requires systems to scale promptly to accommodate the stream of new users visiting the online services …

Semantic Parsing via Staged Query Graph Generation: Question Answering with Knowledge Base

2015

Wen-tau Yih, Ming-Wei Chang, Xiaodong He, Jianfeng Gao. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). 2015.

Representation Learning Using Multi-Task Deep Neural Networks for Semantic Classification and Information Retrieval

2015

Xiaodong Liu, Jianfeng Gao, Xiaodong He, Li Deng, Kevin Duh, Ye-yi Wang. Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2015.

Character-Level Question Answering with Attention

2016 · arXiv (Cornell University)

We show that a character-level encoder-decoder framework can be successfully applied to question answering with a structured knowledge base. We use our model for single-relation question answering and demonstrate the effectiveness of our approach on …

Zero-shot learning of intent embeddings for expansion by convolutional deep structured semantic models

2016

The recent surge of intelligent personal assistants motivates spoken language understanding of dialogue systems. However, the domain constraint along with the inflexible intent schema remains a big issue. This paper focuses on the task of …

A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories

2016

Nasrin Mostafazadeh, Nathanael Chambers, Xiaodong He, Devi Parikh, Dhruv Batra, Lucy Vanderwende, Pushmeet Kohli, James Allen. Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. …

Deep Communicating Agents for Abstractive Summarization

2018

Asli Celikyilmaz, Antoine Bosselut, Xiaodong He, Yejin Choi. Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers). 2018.

Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs

2019

Multi-hop reading comprehension (RC) across documents poses new challenge over single-document RC because it requires reasoning over multiple documents to reach the final answer. In this paper, we propose a new model to tackle the …