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Found 5 papers, 4 papers with code
Blindness to Modality Helps Entailment Graph Mining
Understanding linguistic modality is widely seen as important for downstream tasks such as Question Answering and Knowledge Graph Population.
Incorporating Temporal Information in Entailment Graph Mining
We present a novel method for injecting temporality into entailment graphs to address the problem of spurious entailments, which may arise from similar but temporally distinct events involving the same pair of entities.
Modality and Negation in Event Extraction
Language provides speakers with a rich system of modality for expressing thoughts about events, without being committed to their actual occurrence.
Multivalent Entailment Graphs for Question Answering
Drawing inferences between open-domain natural language predicates is a necessity for true language understanding.
Temporal and Aspectual Entailment
Inferences regarding "Jane's arrival in London" from predications such as "Jane is going to London" or "Jane has gone to London" depend on tense and aspect of the predications.
