Requirements Engineering is one of the most vital activities in the entire Software
Development Life Cycle. The success of the software is largely dependent on how well the …

Text documents often contain valuable structured data that is hidden Yin regular English
sentences. This data is best exploited infavailable as arelational table that we could use for …

The automatic extraction of information from unstructured sources has opened up new
avenues for querying, organizing, and analyzing data by drawing upon the clean semantics …

Neural networks have shown promising results for relation extraction. State-of-the-art
models cast the task as an end-to-end problem, solved incrementally using a local classifier …

We explore a framework for argumentation (based on classical logic) in which an argument
is a pair where the first item in the pair is a minimal consistent set of formulae that proves the …

In this work, we propose a novel segmental hypergraph representation to model overlapping
entity mentions that are prevalent in many practical datasets. We show that our model built …

Despite widespread recognition that aggregated summary statistics on international conflict
and cooperation miss most of the complex interactions among nations, the vast majority of …

Event extraction is typically modeled as a multi-class classification problem where event
types and argument roles are treated as atomic symbols. These approaches are usually …

Automatic text summarization, the computer-based production of condensed versions of
documents, is an important technology for the information society. Without summaries it …

Event extraction, a specialized stream of information extraction rooted back into the 1980s,
has greatly gained in popularity due to the advent of big data and the developments in the …