As a primary means of information acquisition, information retrieval (IR...
In conversational search, the user's real search intent for the current ...
In this paper, we introduce a new NLP task – generating short factual
ar...
Although BERT-based ranking models have been commonly used in commercial...
Personalized chatbots focus on endowing the chatbots with a consistent
p...
Recent years have witnessed great progress on applying pre-trained langu...
Users' search tasks have become increasingly complicated, requiring mult...
Contextual information in search sessions is important for capturing use...
Generalized text representations are the foundation of many natural lang...
Beyond topical relevance, passage ranking for open-domain factoid questi...
Personalized dialogue systems explore the problem of generating response...
Personalized search plays a crucial role in improving user search experi...
Context information in search sessions has proven to be useful for captu...
Personalized chatbots focus on endowing chatbots with a consistent
perso...
In this paper, we explore the problem of developing personalized chatbot...
A proactive dialogue system has the ability to proactively lead the
conv...
Recent years have witnessed great progress on building emotional chatbot...
Sentence ordering aims to arrange the sentences of a given text in the
c...
Sentence ordering aims at arranging a list of sentences in the correct o...
Grounding human-machine conversation in a document is an effective way t...
Recently, significant progress has been made in sequential recommendatio...
It is appealing to have a system that generates a story or scripts
autom...
Open-domain retrieval-based dialogue systems require a considerable amou...