A survey on knowledge graphs: Representation, acquisition, and applications
Human knowledge provides a formal understanding of the world. Knowledge graphs that
represent structural relations between entities have become an increasingly popular …
represent structural relations between entities have become an increasingly popular …
A survey on empathetic dialogue systems
Dialogue systems have achieved growing success in many areas thanks to the rapid
advances of machine learning techniques. In the quest for generating more human-like …
advances of machine learning techniques. In the quest for generating more human-like …
Explaining machine learning models with interactive natural language conversations using TalkToModel
Practitioners increasingly use machine learning (ML) models, yet models have become
more complex and harder to understand. To understand complex models, researchers have …
more complex and harder to understand. To understand complex models, researchers have …
Graphcodebert: Pre-training code representations with data flow
Pre-trained models for programming language have achieved dramatic empirical
improvements on a variety of code-related tasks such as code search, code completion …
improvements on a variety of code-related tasks such as code search, code completion …
Conversational information seeking
Conversational information seeking (CIS) is concerned with a sequence of interactions
between one or more users and an information system. Interactions in CIS are primarily …
between one or more users and an information system. Interactions in CIS are primarily …
Conversational question answering: A survey
Question answering (QA) systems provide a way of querying the information available in
various formats including, but not limited to, unstructured and structured data in natural …
various formats including, but not limited to, unstructured and structured data in natural …
[HTML][HTML] Progress in neural NLP: modeling, learning, and reasoning
Natural language processing (NLP) is a subfield of artificial intelligence that focuses on
enabling computers to understand and process human languages. In the last five years, we …
enabling computers to understand and process human languages. In the last five years, we …
Question rewriting for conversational question answering
Conversational question answering (QA) requires the ability to correctly interpret a question
in the context of previous conversation turns. We address the conversational QA task by …
in the context of previous conversation turns. We address the conversational QA task by …
Transfernet: An effective and transparent framework for multi-hop question answering over relation graph
Multi-hop Question Answering (QA) is a challenging task because it requires precise
reasoning with entity relations at every step towards the answer. The relations can be …
reasoning with entity relations at every step towards the answer. The relations can be …
Complex knowledge base question answering: A survey
Knowledge base question answering (KBQA) aims to answer a question over a knowledge
base (KB). Early studies mainly focused on answering simple questions over KBs and …
base (KB). Early studies mainly focused on answering simple questions over KBs and …