In the last few years, a number of NLP researchers have developed and participated in the
task of Recognizing Textual Entailment (RTE). This task encapsulates Natural Language …

Paraphrasing methods recognize, generate, or extract phrases, sentences, or longer natural
language expressions that convey almost the same information. Textual entailment …

Contextualized word representations have become a driving force in NLP, motivating
widespread interest in understanding their capabilities and the mechanisms by which they …

Distributional word similarity is most commonly perceived as a symmetric relation. Yet,
directional relations are abundant in lexical semantics and in many Natural Language …

Machine translation can be considered a highly interdisciplinary and multidisciplinary field
because it is approached from the point of view of human translators, engineers, computer …

We challenge the NLP community to participate in a large-scale, distributed effort to design
and build resources for developing and evaluating solutions to new and existing NLP tasks …

Reasoning is one of the central topics in artificial intelligence. As an important reasoning
paradigm, entailment recognition has attracted much research interest, which judges if a …

This paper is to introduce our participation in the WMT13 shared tasks on Quality Estimation
for machine translation without using reference translations. We submitted the results for …

The conventional machine translation evaluation metrics tend to perform well on certain
language pairs but weak on other language pairs. Furthermore, some evaluation metrics …

This paper describes the system used for our participation in the WMT12 Machine
Translation evaluation shared task. We also present a new approach to Machine Translation …