Semantic Equivalence Detection: Are Interrogatives Harder than Declaratives?

GEqO: ML-Accelerated Semantic Equivalence Detection

Large scale analytics engines have become a core dependency for modern data-driven enterprises to derive business insights and drive actions. These engines support a large number of analytic jobs processing huge volumes …

Doubt, incredulity, and particles in Japanese falling interrogatives

Hindi Question Generation Using Dependency Structures

Hindi question answering systems suffer from a lack of data. To address the same, this paper presents an approach towards automatic question generation. We present a rule-based system for question generation in Hindi by …

Politics of Questions in News: A Mixed-Methods Study of Interrogative Stances as Markers of Voice and Power

Interrogatives in news discourse have been examined in linguistics and conversation analysis, but mostly in broadcast interviews and relatively small, often English-language corpora, while large-scale computational studi…

Measuring Fine-Grained Semantic Equivalence with Abstract Meaning Representation

Identifying semantically equivalent sentences is important for many cross-lingual and mono-lingual NLP tasks. Current approaches to semantic equivalence take a loose, sentence-level approach to "equivalence," despite pre…