A survey of paraphrasing and textual entailment methods
I Androutsopoulos, P Malakasiotis - Journal of Artificial Intelligence …, 2010 - jair.org
Paraphrasing methods recognize, generate, or extract phrases, sentences, or longer natural
language expressions that convey almost the same information. Textual entailment …
language expressions that convey almost the same information. Textual entailment …
[PDF][PDF] Using machine translation evaluation techniques to determine sentence-level semantic equivalence
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 …
level semantic equivalence classification. This paper investigates the utility of applying …
Semantic channels for fast pedestrian detection
AD Costea, S Nedevschi - Proceedings of the IEEE …, 2016 - openaccess.thecvf.com
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 …
applications. However most of the top performing approaches provide state of art results at …
Automatic short answer grading with SemSpace sense vectors and MaLSTM
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 …
exams because of its efficiency in measuring student performance, lack of subjectivity when …
Recognizing and justifying text entailment through distributional navigation on definition graphs
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 …
piece of text, has become an important component for many natural language processing …
Systems and methods for detecting entailment and contradiction
Techniques are provided for detecting entailment and con tradiction. Packed knowledge
representations for a premise and conclusion text are determined comprising facts about the …
representations for a premise and conclusion text are determined comprising facts about the …
A Study of the State of the Art Approaches and Datasets for Multilingual Natural Language Inference
S Renjit, SM Idicula - Neural Processing Letters, 2024 - Springer
Natural language inference is critical in Natural Language Processing where semantics is
involved. Also known as textual entailment recognition, it defines a directional relationship …
involved. Also known as textual entailment recognition, it defines a directional relationship …
Exploring knowledge graphs in an interpretable composite approach for text entailment
Recognizing textual entailment is a key task for many semantic applications, such as
Question Answering, Text Summarization, and Information Extraction, among others …
Question Answering, Text Summarization, and Information Extraction, among others …
Short answer scoring system using automatic reference answer generation and geometric average normalized-longest common subsequence (GAN-LCS)
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 …
used to conduct assessment process on e-learning system. One of the methods applied in …
Recognising textual entailment with robust logical inference
J Bos, K Markert - Machine Learning Challenges Workshop, 2005 - Springer
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 …
operating on deep semantic interpretations as the backbone of our system. However, the …