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Transformer-XH: Multi-Evidence Reasoning with eXtra Hop Attention
TLDR
This paper presents Transformer-XH, which uses eXtra Hop attention to enable intrinsic modeling of structured texts in a fully data-driven way. Expand
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TREC CAsT 2019: The Conversational Assistance Track Overview
TLDR
The Conversational Assistance Track (CAsT) is a new track for TREC 2019 to facilitate Conversational Information Seeking (CIS) research and to create a large-scale reusable test collection for conversational search systems. Expand
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Grounded Conversation Generation as Guided Traverses in Commonsense Knowledge Graphs
TLDR
This paper presents a new conversation generation model, ConceptFlow, which leverages commonsense knowledge graphs to explicitly model conversation flows in the explicit concept space. Expand
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Leading Conversational Search by Suggesting Useful Questions
TLDR
This paper studies a new scenario in conversational search, conversational question suggestion, which leads search engine users to more engaging experiences by suggesting interesting, informative, and useful follow-up questions. Expand
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Knowledge Enhanced Personalized Search
TLDR
This paper presents a knowledge graph enhanced personalized search model, KEPS, using memory networks to store the predicted search intents and linked entities in her search history. Expand
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The First Workshop on Knowledge Graphs and Semantics for Text Retrieval and Analysis (KG4IR)
Knowledge graphs have been used throughout the history of information retrieval for a variety of tasks. Technological advances in knowledge acquisition and alignment technology from the last fewExpand
Recent Advances in Conversational Information Retrieval
TLDR
This tutorial presents recent advances in CIR, focusing mainly on neural approaches and new applications developed in the past five years. Expand
Adapting Open Domain Fact Extraction and Verification to COVID-FACT through In-Domain Language Modeling
TLDR
This paper presents in-domain language modeling methods for open domain fact extraction and verification, which transfer domain knowledge for the COVID-FACT checking task. Expand
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