Recognizing Textual Entailment: Challenges in the Portuguese Language [PDF]
Recognizing textual entailment comprises the task of determining semantic entailment relations between text fragments. A text fragment entails another text fragment if, from the meaning of the former, one can infer the meaning of the latter.
Gil Rocha, Henrique Lopes Cardoso
doaj +7 more sources
SNLI Indo: A recognizing textual entailment dataset in Indonesian derived from the Stanford Natural Language Inference dataset [PDF]
Recognizing textual entailment (RTE) is an essential task in natural language processing (NLP). It is the task of determining the inference relationship between text fragments (premise and hypothesis), of which the inference relationship is either ...
I Made Suwija Putra +2 more
doaj +4 more sources
Techniques for Recognizing Textual Entailment and Semantic Equivalence [PDF]
After defining what is understood by textual entailment and semantic equivalence, the present state and the desirable future of the systems aimed at recognizing them is shown. A compilation of the currently implemented techniques in the main Recognizing Textual Entailment and Semantic Equivalence systems is given.
Jesús Herrera +2 more
openaire +5 more sources
Inference rules and their application to recognizing textual entailment [PDF]
In this paper, we explore ways of improving an inference rule collection and its application to the task of recognizing textual entailment. For this purpose, we start with an automatically acquired collection and we propose methods to refine it and obtain more rules using a hand-crafted lexical resource.
Georgiana Dinu, Rui Wang 0005
openaire +3 more sources
Recognizing Partial Textual Entailment
Textual entailment is an asymmetric relation between two text fragments that describes whether one fragment can be inferred from the other. It thus cannot capture the notion that the target fragment is “almost entailed” by the given text. The recently suggested idea of partial textual entailment may remedy this problem.
Levy, Omer +3 more
openaire +4 more sources
Word2vec Based System for Recognizing Partial Textual Entailment [PDF]
Recognizing textual entailment is typically considered as a binary decision task - whether a text T entails a hypothesis H. Thus, in case of a negative answer, it is not possible to express that H is “almost entailed” by T. Partial textual entailment provides one possible approach to this issue.
Martin Víta, Vincent Kríž
doaj +2 more sources
Recognizing textual entailment: A review of resources, approaches, applications, and challenges
The review aims to examine the current state of recognizing textual entailment (RTE) research and summarize the state-of-the-art methods in the development of natural language processing (NLP) applications, the various approaches, datasets, and future ...
I Made Suwija Putra +2 more
doaj +3 more sources
A discourse commitment-based framework for recognizing textual entailment [PDF]
In this paper, we introduce a new framework for recognizing textual entailment which depends on extraction of the set of publicly-held beliefs -- known as discourse commitments -- that can be ascribed to the author of a text or a hypothesis. Once a set of commitments have been extracted from a t-h pair, the task of recognizing textual entailment is ...
Andrew Hickl, Jeremy Bensley
openaire +3 more sources
A survey on Recognizing Textual Entailment as an NLP Evaluation [PDF]
1st Workshop on Evaluation and Comparison for NLP systems (Eval4NLP) at EMNLP 2020; 18 ...
Poliak, Adam, Adam Poliak
openaire +4 more sources
Feature-Rich Classifiers for Recognizing Textual Entailment in Indonesian
Abstract Recognizing Textual Entailment (RTE) is a Natural Language Processing task to determine whether a sentence (text) semantically entails another sentence (hypothesis). In this paper, we extracted and learned 35 features from a pair of text and hypothesis in Indonesian.
Rahmad Mahendra
exaly +2 more sources

