Deep neural networks have a good success record and are thus viewed as t...
Sentences that present a complex syntax act as a major stumbling block f...
This research article analyzes the language used in the official stateme...
Determining an appropriate number of attention heads on one hand and the...
The commitment to single-precision floating-point arithmetic is widespre...
In this article, we explore the shallow heuristics used by transformer-b...
In this article, we explore the potential of transformer-based language
...
We present an annotation approach to capturing emotional and cognitive
e...
We present a context-preserving text simplification (TS) approach that
r...
In this paper, we present a novel annotation approach to capture claims ...
Text entailment, the task of determining whether a piece of text logical...
In the last years, image classification processes like neural networks i...
We introduce DisSim, a discourse-aware sentence splitting framework for
...
We compiled a new sentence splitting corpus that is composed of 203K pai...
There is some theoretical evidence that deep neural networks with multip...
Artificial Intelligence models are becoming increasingly more powerful a...
Singular Value Decomposition (SVD) constitutes a bridge between the line...
We present an approach for recursively splitting and rephrasing complex
...
We introduce Graphene, an Open IE system whose goal is to generate accur...
We present an Open Information Extraction (IE) approach that uses a
two-...
Natural language definitions of terms can serve as a rich source of
know...
The identification of semantic relations between terms within texts is a...
Understanding the semantic relationships between terms is a fundamental ...
Semantic annotation is fundamental to deal with large-scale lexical
info...
We provide a detailed overview of the various approaches that were propo...
This demonstration presents an infrastructure for computing multilingual...
This paper provides a comparative analysis of the performance of four
st...
Different semantic interpretation tasks such as text entailment and ques...
In this paper, we report on our efforts for using Deep Learning for
clas...
In this demo paper, we present a text simplification approach that is
di...
This short paper outlines research results on object classification in i...