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QADiscourse - Discourse Relations as QA Pairs: Representation, Crowdsourcing and Baselines
A novel representation of discourse relations as QA pairs is proposed, which in turn allows us to crowd-source wide-coverage data annotated with discourse relations, via an intuitively appealing interface for composing such questions and answers. Expand
QANom: Question-Answer driven SRL for Nominalizations
We propose a new semantic scheme for capturing predicate-argument relations for nominalizations, termed QANom. This scheme extends the QA-SRL formalism (He et al., 2015), modeling the relationsExpand
Draw Me a Flower: Grounding Formal Abstract Structures Stated in Informal Natural Language
Results of the baseline models on an instruction-to-execution task derived from the HEXAGONS dataset confirm that higher-level abstractions in NL are indeed more challenging for current systems to process. Expand
Discourse Relations and Conjoined VPs: Automated Sense Recognition
This work demonstrates a sequential classification pipeline for multi-label sense classification of discourse relations using a newly available corpus of discourse-annotated intra-sentential conjoined verb phrases. Expand
Asking It All: Generating Contextualized Questions for any Semantic Role
The task of role question generation is introduced, which requires producing a set of questions asking about all possible semantic roles of the predicate, and a two-stage model is developed, which first produces a contextindependent question prototype for each role and then revises it to be contextually appropriate for the passage. Expand
The Possible, the Plausible, and the Desirable: Event-Based Modality Detection for Language Processing
It is shown that detecting and classifying modal expressions is not only feasible, but also improves the detection of modal events in their own right. Expand