575 citations · 1.6k across the 40 of their papers we have counts for
11 papers · 1 filter
Open Domain Web Keyphrase Extraction Beyond Language Modeling
Lee Xiong, Chuan Hu, Chenyan Xiong +2
This paper studies keyphrase extraction in real-world scenarios where documents are from diverse domains and have variant content quality. We curate and release OpenKP, a large sca…
Contrastive Multi-document Question Generation
Woon Sang Cho, Yizhe Zhang, Sudha Rao +5
Multi-document question generation focuses on generating a question that covers the common aspect of multiple documents. Such a model is useful in generating clarifying options. Ho…
Grounded Conversation Generation as Guided Traverses in Commonsense Knowledge Graphs
Houyu Zhang, Zhenghao Liu, Chenyan Xiong +1
Human conversations naturally evolve around related concepts and scatter to multi-hop concepts. This paper presents a new conversation generation model, ConceptFlow, which leverage…
Fine-grained Fact Verification with Kernel Graph Attention Network
Zhenghao Liu, Chenyan Xiong, Maosong Sun +1
Fact Verification requires fine-grained natural language inference capability that finds subtle clues to identify the syntactical and semantically correct but not well-supported cl…
Explore Entity Embedding Effectiveness in Entity Retrieval
Zhenghao Liu, Chenyan Xiong, Maosong Sun +1
This paper explores entity embedding effectiveness in ad-hoc entity retrieval, which introduces distributed representation of entities into entity retrieval. The knowledge graph co…
Latent Relation Language Models
Hiroaki Hayashi, Zecong Hu, Chenyan Xiong +1
In this paper, we propose Latent Relation Language Models (LRLMs), a class of language models that parameterizes the joint distribution over the words in a document and the entitie…
Neural Document Expansion with User Feedback
Yue Yin, Chenyan Xiong, Cheng Luo +1
This paper presents a neural document expansion approach (NeuDEF) that enriches document representations for neural ranking models. NeuDEF harvests expansion terms from queries whi…
Generic Intent Representation in Web Search
Hongfei Zhang, Xia Song, Chenyan Xiong +4
This paper presents GEneric iNtent Encoder (GEN Encoder) which learns a distributed representation space for user intent in search. Leveraging large scale user clicks from Bing sea…
Target-Guided Open-Domain Conversation
Jianheng Tang, Tiancheng Zhao, Chenyan Xiong +3
Many real-world open-domain conversation applications have specific goals to achieve during open-ended chats, such as recommendation, psychotherapy, education, etc. We study the pr…
Understanding the Behaviors of BERT in Ranking
Yifan Qiao, Chenyan Xiong, Zhenghao Liu +1
This paper studies the performances and behaviors of BERT in ranking tasks. We explore several different ways to leverage the pre-trained BERT and fine-tune it on two ranking tasks…
An Axiomatic Approach to Regularizing Neural Ranking Models
Corby Rosset, Bhaskar Mitra, Chenyan Xiong +3
Axiomatic information retrieval (IR) seeks a set of principle properties desirable in IR models. These properties when formally expressed provide guidance in the search for better…