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Found 4 papers, 1 papers with code
Fusing Temporal Graphs into Transformers for Time-Sensitive Question Answering
Answering time-sensitive questions from long documents requires temporal reasoning over the times in questions and documents.
Thrill-K Architecture: Towards a Solution to the Problem of Knowledge Based Understanding
While end-to-end learning systems are rapidly gaining capabilities and popularity, the increasing computational demands for deploying such systems, along with a lack of flexibility, adaptability, explainability, reasoning and verification capabilities, require new types of architectures.
TempoQR: Temporal Question Reasoning over Knowledge Graphs
The first computes a textual representation of a given question, the second combines it with the entity embeddings for entities involved in the question, and the third generates question-specific time embeddings.
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Question Answering
on CronQuestions
Semi-supervised Interactive Intent Labeling
Building the Natural Language Understanding (NLU) modules of task-oriented Spoken Dialogue Systems (SDS) involves a definition of intents and entities, collection of task-relevant data, annotating the data with intents and entities, and then repeating the same process over and over again for adding any functionality/enhancement to the SDS.
