RTE

We use logical inference techniques for recognising textual entailment. As the performance of theorem proving turns out to be highly dependent on not read- ily available background knowledge, we incorporate …...

We represent natural language semantics by combining logical and distributional in- formation in probabilistic logic. We use Markov Logic Networks (MLN) for the RTE task, and Probabilistic Soft Logic (PSL) …...

AbstractMulti-task auxiliary learning utilizes a set of relevant auxiliary tasks to improve the performance of a primary task. A common usage is to manually select multiple auxiliary tasks for multi-task …...

AbstractThe Yes/No QA task (Clark et al., 2019) consists of “Yes” or “No” questions about a given context. However, in realistic scenarios, the information provided in the context is not …...