Lexically constrained generation requires the target sentence to satisfy some lexical
constraints, such as containing some specific words or being the paraphrase to a given …

Abstract Recognizing Textual Entailment (RTE) is a fundamentally important task in natural
language processing that has many applications. The recently released Stanford Natural …

Abstract Language resources that systematically organize paraphrases for binary relations
are of great value for various NLP tasks and have recently been advanced in projects like …

Textual Inference is a research trend in Natural Language Processing (NLP) that has
recently received a lot of attention by the scientific community. Textual Entailment (TE) is a …

Neste trabalho, apresentamos uma abordagem baseada no uso de features para a tarefa
de RTE (Recognizing Text Entailment) que verifica a similaridade entre duas frases …

Paraphrase Identification is a challenging and popular research area in Natural Language
Processing Applications, including document summarization, information retrieval, question …

Abstract Recognizing Textual Entailment (RTE) plays an important role in NLP applications
like question answering, information retrieval, etc. Most previous works either use classifiers …

Abstract Reasoning over natural text is highly nuanced, and interpretations can vary widely
depending on cultural background, financial status, age, gender, or even mood. This …

Adrenocortical Carcinoma (ACC) is a rare but highly lethal cancer that occurs in the adrenal
cortex. Accurate diagnosis of ACC are vital in order to determine appropriate treatment …

This work aims to analyze the potential of deep neural models for text-based entailment in
Bangla Language. Entailment is the method of determining whether one text infers or goes …