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The state of the art in open domain complex question answering: a survey
Research on question answering (QA) systems has a long tradition. QA systems, as widely
used systems in various applications, seek to find the answers to the given questions …
used systems in various applications, seek to find the answers to the given questions …
Towards benchmarking and improving the temporal reasoning capability of large language models
Reasoning about time is of fundamental importance. Many facts are time-dependent. For
example, athletes change teams from time to time, and different government officials are …
example, athletes change teams from time to time, and different government officials are …
Interactive question answering systems: Literature review
Question-answering systems are recognized as popular and frequently effective means of
information seeking on the web. In such systems, information seekers can receive a concise …
information seeking on the web. In such systems, information seekers can receive a concise …
Boosting question answering over knowledge graph with reward integration and policy evaluation under weak supervision
Among existing knowledge graph based question answering (KGQA) methods, relation
supervision methods require labeled intermediate relations for stepwise reasoning. To avoid …
supervision methods require labeled intermediate relations for stepwise reasoning. To avoid …
A survey on narrative extraction from textual data
Narratives are present in many forms of human expression and can be understood as a
fundamental way of communication between people. Computational understanding of the …
fundamental way of communication between people. Computational understanding of the …
Streamingqa: A benchmark for adaptation to new knowledge over time in question answering models
Abstract Knowledge and language understanding of models evaluated through question
answering (QA) has been usually studied on static snapshots of knowledge, like Wikipedia …
answering (QA) has been usually studied on static snapshots of knowledge, like Wikipedia …
Multi-granularity temporal question answering over knowledge graphs
Recently, question answering over temporal knowledge graphs (ie, TKGQA) has been
introduced and investigated, in quest of reasoning about dynamic factual knowledge. To …
introduced and investigated, in quest of reasoning about dynamic factual knowledge. To …
Tempoqr: temporal question reasoning over knowledge graphs
Abstract Knowledge Graph Question Answering (KGQA) involves retrieving facts from a
Knowledge Graph (KG) using natural language queries. A KG is a curated set of facts …
Knowledge Graph (KG) using natural language queries. A KG is a curated set of facts …
Conversational question answering on heterogeneous sources
Conversational question answering (ConvQA) tackles sequential information needs where
contexts in follow-up questions are left implicit. Current ConvQA systems operate over …
contexts in follow-up questions are left implicit. Current ConvQA systems operate over …
Explainable conversational question answering over heterogeneous sources via iterative graph neural networks
In conversational question answering, users express their information needs through a
series of utterances with incomplete context. Typical ConvQA methods rely on a single …
series of utterances with incomplete context. Typical ConvQA methods rely on a single …