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

The task of machine translation (MT) evaluation is closely related to the task of sentence-
level semantic equivalence classification. This paper investigates the utility of applying …

Pedestrian detection and semantic segmentation are high potential tasks for many real-time
applications. However most of the top performing approaches provide state of art results at …

Automatic assessment of exams is widely preferred by educators than multiple-choice
exams because of its efficiency in measuring student performance, lack of subjectivity when …

Text entailment, the task of determining whether a piece of text logically follows from another
piece of text, has become an important component for many natural language processing …

Recognizing textual entailment is a key task for many semantic applications, such as
Question Answering, Text Summarization, and Information Extraction, among others …

Techniques are provided for detecting entailment and con tradiction. Packed knowledge
representations for a premise and conclusion text are determined comprising facts about the …

Natural language inference is critical in Natural Language Processing where semantics is
involved. Also known as textual entailment recognition, it defines a directional relationship …

Abstract The Automatic Short Answer Scoring (ASAS) system is one of the tools that can be
used to conduct assessment process on e-learning system. One of the methods applied in …

We use logical inference techniques for recognising textual entailment, with theorem proving
operating on deep semantic interpretations as the backbone of our system. However, the …