There is considerable interest in the task of automatically generating image captions.
However, evaluation is challenging. Existing automatic evaluation metrics are primarily …

In this paper, we present a novel framework for semi-automatically creating linguistically
challenging microplanning data-to-text corpora from existing Knowledge Bases. Because …

We present a simple and effective approach to incorporating syntactic structure into neural
attention-based encoder-decoder models for machine translation. We rely on graph …

Data integration is the dominant use case for RDF Knowledge Graphs. However, Web
resources come in formats with weak semantics (for example, CSV and JSON), or formats …

Integrating computer vision and natural language processing is a novel interdisciplinary field
that has received a lot of attention recently. In this survey, we provide a comprehensive …

Syntactic structures, by their nature, reflect first and foremost the formal constructions used
for expressing meanings. This renders them sensitive to formal variation both within and …

We propose a diagnostic method for probing specific information captured in vector
representations of sentence meaning, via simple classification tasks with strategically …

The spread of misinformation, propaganda, and flawed argumentation has been amplified in
the Internet era. Given the volume of data and the subtlety of identifying violations of …

An important component of achieving language understanding is mastering the composition
of sentence meaning, but an immediate challenge to solving this problem is the opacity of …

PubMed, a repository and search engine for biomedical literature, now indexes> 1 million
articles each year. This exceeds the processing capacity of human domain experts, limiting …