Filters








15,282 Hits in 2.9 sec

From Building Corpora for Recognizing Faceted Entailment to Recognizing Relational Entailment

Martin Víta
2018 Position Papers of the 2018 Federated Conference on Computer Science and Information Systems  
As a generalization of this approach and general principles of open IE, we introduce a notion of relational entailment and provide its basic properties and relations to other entailmentlike issues.  ...  Although there exist many annotated corpora for the original RTE problem, faceted textual entailment is in the sense of easy-accessible corpora highly neglected.  ...  • RTE-1-RTE-8 -a set of corpora used in textual challenges organized under several frameworks, starting in 2004 as PASCAL Recognizing Textual Entailment (RTE) Challenges, later as the tracks of the Text  ... 
doi:10.15439/2018f381 dblp:conf/fedcsis/Vita18 fatcat:saqx3kivbvhqtjzcszxq5deb4a

Natural Language Processing Applications: A New Taxonomy using Textual Entailment

Manar Elshazly, Mohammed Haggag, Soha Ahmed Ehssan
2021 International Journal of Advanced Computer Science and Applications  
Text entailment is more precise than traditional Natural Language Processing techniques in extracting emotions from text because the sentiment of any text can be clarified by textual entailment.  ...  Textual entailment is also used in the substantial applications of NLP such as summarization, machine translation, sentiment analysis, and information verification.  ...  INTRODUCTION Textual entailment [1] is the process of importing a text from another one.  ... 
doi:10.14569/ijacsa.2021.0120580 fatcat:yp7wtq6n7bamjcsnpl2hathrwy

An Approach for Textual Entailment Recognition Based on Stacking and Voting [chapter]

Zornitsa Kozareva, Andrés Montoyo
2006 Lecture Notes in Computer Science  
This paper presents a machine-learning approach for the recognition of textual entailment. For our approach we model lexical and semantic features.  ...  The obtained results demonstrate that an ensemble of classifiers achieves higher accuracy than an individual classifier and comparable results to already existing textual entailment systems.  ...  Acknowledgements This research is funded by the projects CICyT number TIC2003-07158-C04-01, PROFIT number FIT-340100-2004-14, and GV04B-276.  ... 
doi:10.1007/11925231_85 fatcat:glcwqhl35rdo5o56vwwgf34r5u

A statistical approach with syntactic and semantic features for Chinese Textual Entailment

Chun Tu, Min-Yuh Day
2012 2012 IEEE 13th International Conference on Information Reuse & Integration (IRI)  
Recognizing Textual Entailment (RTE) is a PASCAL/TAC task in which two text fragments are processed by system to determine whether the meaning of hypothesis is entailed from another text or not.  ...  In this paper, we proposed a textual entailment system using a statistical approach that integrates syntactic and semantic techniques for Recognizing Inference in Text (RITE) using the NTCIR-9 RITE task  ...  INTRODUCTION Recognizing Textual Entailment (RTE) is a task in which a system is given two text fragments and then determine whether the meaning of hypothesis is entailed from another text [1] .  ... 
doi:10.1109/iri.2012.6302991 dblp:conf/iri/TuD12 fatcat:hv6iodhbyjedhb5p7gcfi3ne7y

Towards Entailment-Based Question Answering: ITC-irst at CLEF 2006 [chapter]

Milen Kouylekov, Matteo Negri, Bernardo Magnini, Bonaventura Coppola
2007 Lecture Notes in Computer Science  
The participation in the AVE task, with an answer validation module based on textual entailment recognition, is motivated by our objectives of (i) creating a modular framework for an entailment-based approach  ...  to QA, and (ii) developing, in compliance with this framework, a stand-alone component for answer validation which implements different approaches to the problem.  ...  In this framework, language variability is addressed by defining the notion of textual entailment as a relation that holds between two language expressions (i.e. a text t and an hypothesis h) if the meaning  ... 
doi:10.1007/978-3-540-74999-8_64 fatcat:pjmrgp7ccfezrb4gtbmw7q5d64

Asymmetric Attributional Word Similarity Measures to Detect the Relations of Textual Generality

Sebastião Pais, Gaël Dias
2020 Computers  
Since 2005, in the TE Recognition (RTE) task, systems have been asked to automatically judge whether the meaning of a portion of the text, the Text (T), entails the meaning of another text, the Hypothesis  ...  For this, we introduce a particular case of Textual Entailment (TE), namely Textual Entailment by Generality (TEG).  ...  The system begins with a bag of words similarity overlap measure, derived from a combination of WordNet [9] lexical chains to form a mapping of terms in the hypothesis to the source text.  ... 
doi:10.3390/computers9040081 fatcat:vyt3our4rjfi5dgbparoo4trsy

Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment

Di Jin, Zhijing Jin, Joey Tianyi Zhou, Peter Szolovits
2020 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
By applying it to two fundamental natural language tasks, text classification and textual entailment, we successfully attacked three target models, including the powerful pre-trained BERT, and the widely  ...  In this paper, we present TextFooler, a simple but strong baseline to generate adversarial text.  ...  Conclusion Overall, we study adversarial attacks against state-of-the-art text classification and textual entailment models under the black-box setting.  ... 
doi:10.1609/aaai.v34i05.6311 fatcat:cxxrs6k45rfhhdgiqkhoflc4hi

Mutual Implication as a Measure of Textual Equivalence

Animesh Nighojkar, John Licato
2021 Proceedings of the ... International Florida Artificial Intelligence Research Society Conference  
We study the relation be- tween existing work and what we call mutual implica- tion (MI), a binary relationship between two sentences that holds when they textually entail each other.  ...  Semantic Textual Similarity (STS) and paraphrase de- tection are two NLP tasks that have a high focus on the meaning of sentences, and current research in both re- lies heavily on comparing fragments of  ...  Acknowledgments This material is based upon work supported by the Air Force Office of Scientific Research under award numbers FA9550-17-1-0191 and FA9550-18-1-0052.  ... 
doi:10.32473/flairs.v34i1.128519 fatcat:q7bovmjzxfbgpkbwokmza4qxjm

Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment [article]

Di Jin, Zhijing Jin, Joey Tianyi Zhou, Peter Szolovits
2020 arXiv   pre-print
By applying it to two fundamental natural language tasks, text classification and textual entailment, we successfully attacked three target models, including the powerful pre-trained BERT, and the widely  ...  In this paper, we present TextFooler, a simple but strong baseline to generate natural adversarial text.  ...  Acknowledgments We thank the MIT Clinical Decision-Making Group and Professor Zheng Zhang for insightful discussions.  ... 
arXiv:1907.11932v6 fatcat:m5tmjtha6zgxvgrvzxfwiwuxra

Towards a unified framework for opinion retrieval, mining and summarization

Elena Lloret, Alexandra Balahur, José M. Gómez, Andrés Montoyo, Manuel Palomar
2012 Journal of Intelligent Information Systems  
In this paper, we tackle the Opinion Retrieval, Mining and Summarization task, by proposing a unified framework, composed of three crucial components (information retrieval, opinion mining and text summarization  ...  By achieving an improvement over 10% compared to the state-of-the-art approaches in the context of blogs, we can conclude that subjective text can be efficiently dealt with by means of our proposed framework  ...  Acknowledgements This research work has been funded by the Spanish Government through the project TEXT-MESS 2.0 (TIN2009-13391-C04) and by the Valencian Government through projects PROMETEO (PROMETEO/2009  ... 
doi:10.1007/s10844-012-0209-4 fatcat:4impsog5hzdqjcixfqxgln2z4m

Evaluating Multimodal Representations on Visual Semantic Textual Similarity [article]

Oier Lopez de Lacalle, Ander Salaberria, Aitor Soroa, Gorka Azkune, Eneko Agirre
2020 arXiv   pre-print
In the case of textual representations, inference tasks such as Textual Entailment and Semantic Textual Similarity have been often used to benchmark the quality of textual representations.  ...  The improvement is observed both when directly computing the similarity between the representations of the two items, and when learning a siamese network based on vSTS training data.  ...  Ander enjoys a PhD grant from the Basque Government.  ... 
arXiv:2004.01894v1 fatcat:tuoemo6mrrbwxhbubbon6lt5ny

Segment-Phrase Table for Semantic Segmentation, Visual Entailment and Paraphrasing

Hamid Izadinia, Fereshteh Sadeghi, Santosh K. Divvala, Hannaneh Hajishirzi, Yejin Choi, Ali Farhadi
2015 2015 IEEE International Conference on Computer Vision (ICCV)  
Leveraging this feature, we motivate the problem of visual entailment and visual paraphrasing, and demonstrate its utility on a large dataset.  ...  Next, we show that the association of high-quality segmentations to textual phrases aids in richer semantic understanding and reasoning of these textual phrases.  ...  Previous approaches to textual entailment and paraphrasing have explored a variety of syntactic and semantic cues, but most were confined to textual information.  ... 
doi:10.1109/iccv.2015.10 dblp:conf/iccv/IzadiniaSDHCF15 fatcat:5vnr2nu4fvarvgru2a2pzvtzju

Segment-Phrase Table for Semantic Segmentation, Visual Entailment and Paraphrasing [article]

Hamid Izadinia, Fereshteh Sadeghi, Santosh Kumar Divvala, Yejin Choi, Ali Farhadi
2015 arXiv   pre-print
Leveraging this feature, we motivate the problem of visual entailment and visual paraphrasing, and demonstrate its utility on a large dataset.  ...  Next, we show that the association of high-quality segmentations to textual phrases aids in richer semantic understanding and reasoning of these textual phrases.  ...  Previous approaches to textual entailment and paraphrasing have explored a variety of syntactic and semantic cues, but most were confined to textual information.  ... 
arXiv:1509.08075v1 fatcat:shim4l4bzvgw3luduyujaud564

Semantic Multimedia Information Retrieval Based on Contextual Descriptions [chapter]

Nadine Steinmetz, Harald Sack
2013 Lecture Notes in Computer Science  
But in recent years the development of technologies for automatic extraction of textual information from audio visual content has advanced.  ...  Semantic analysis and annotation of textual information with appropriate semantic entities is an essential task to enable content based search on the annotated data.  ...  Furthermore, due to the rich expressiveness of natural language textual information entails the problem of ambiguity.  ... 
doi:10.1007/978-3-642-38288-8_26 fatcat:admr5ft2nvb33dinv4iwj25bb4

A boundary-based tokenization technique for extractive text summarization

Nnaemeka M Oparauwah, Juliet N Odii, Ikechukwu I Ayogu, Vitalis C Iwuchukwu
2021 World Journal of Advanced Research and Reviews  
The need to extract and manage vital information contained in copious volumes of text documents has given birth to several automatic text summarization (ATS) approaches.  ...  Experimental results showed that the proposed approach enhanced word tokenization by enhancing the selection of appropriate keywords from text document to be used for summarization.  ...  Acknowledgments The authors are thankful to the anonymous reviewers of this work for their reviews. Disclosure of conflict of interest The authors declare that no known competing interest exists.  ... 
doi:10.30574/wjarr.2021.11.2.0351 fatcat:t67arfwm3neyzkai7sevgm63uy
« Previous Showing results 1 — 15 out of 15,282 results