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Machine comprehension of texts longer than a single sentence often requires coreference resolution. However, most current reading comprehension benchmarks do not contain complex coreferential… Continue Reading
Resolving abstract anaphora is an important, but difficult task for text understanding. Yet, with recent advances in representation learning this task becomes a more tangible aim. A central property… Continue Reading
For over 12 years, machine learning is used to extract opinion-holder-target structures from text to answer the question: Who expressed what kind of sentiment towards what?. However, recent neural… Continue Reading
Modal sense classification (MSC) is a special WSD task that depends on the meaning of the proposition in the modal's scope. We explore a CNN architecture for classifying modal sense in English and… Continue Reading
Modal verbs have different interpretations depending on their context. Their sense categories – epistemic, deontic and dynamic – provide important dimensions of meaning for the interpretation of… Continue Reading
Fifth International Conference on Social Networks…
Automatic text summarization aims at reducing the length of input documents while preserving the most important information. A key challenge in automatic summarization is therefore to estimate the… Continue Reading