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Recognizing Textual Entailment Using Probabilistic Inference
... the inference rules. After the inference rules are prepared, we can construct a ...each inference rule are well trained, the MLN is well prepared to ... See full document
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BIUTEE: A Modular Open Source System for Recognizing Textual Entailment
... Tracer provides two modes for tracing proof con- struction: automatic mode and manual mode. In au- tomatic mode, shown in Figure 2, the tool presents the complete process of inference, as conducted by the system’s ... See full document
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A Semantic Approach to Recognizing Textual Entailment
... strings. Using either statistical or Word- Net’s relations, almost all systems considered lexical relationships that indicate ...for entailment by several systems (Herrera et ...the entailment ... See full document
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On the Proper Treatment of Quantifiers in Probabilistic Logic Semantics
... (semantic textual similarity, STS (Agirre et ...of inference rules KB is transformed into the question of the probability of the hypothesis given the text and the rules, P (H|T, ...of Entailment, ... See full document
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Recognizing Textual Entailment using Dependency Analysis and Machine Learning
... dataset using lexical match and mismatch ...features using logical inference to build a hybrid model that achieves an accuracy of ...that using task label as feature in their model increases ... See full document
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Modeling Human Inference Process for Textual Entailment Recognition
... Textual Entailment (TE) is a directional relation- ship between pairs of text expressions, text (T) and hypothesis ...on textual entailment have attracted much attention in recent years due to ... See full document
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Types of Common Sense Knowledge Needed for Recognizing Textual Entailment
... ponens inference from the information in the text or previous lines of the ...an entailment decision about the hypothesis, and that alternative proofs might require different kinds of common-sense ... See full document
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Recognizing Textual Entailment based on Deep Learning Approach
... language inference) models with external knowledge in co-attention, local inference collection, and inference composition ...datasets. Using external knowledge is more significant when the ... See full document
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Sieg at MEDIQA 2019: Multi task Neural Ensemble for Biomedical Inference and Entailment
... language inference (NLI) and question entailment (RQE) in the biomed- ical ...domain. Recognizing textual inference re- lations and question similarity can address the issue of ... See full document
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Learning to recognize features of valid textual entailments
... robust textual inference in arbitrary domains about which the system has no ...PASCAL Recognizing Textual En- tailment (RTE) Challenge (Dagan et ... See full document
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A Logic Based Semantic Approach to Recognizing Textual Entailment
... with more than one HYPONYMY relations. Al- though these relations link semantically related concepts, the type of semantic similarity they in- troduce is not suited for inferences. Another re- striction imposed on the ... See full document
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Inference Rules and their Application to Recognizing Textual Entailment
... Dependency representations like the tree skele- ton have been explored by many researchers, e.g. (Zanzotto and Moschitti, 2006) have utilized a tree kernel method to calculate the similarity between T and H, and (Wang ... See full document
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Recognizing Partial Textual Entailment
... tic inference for two ...mantic inference; for example, “snowdrops bloom in summer” and “snowdrops bloom in winter” may be similar, but have contradictory ... See full document
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Labeled Alignment for Recognizing Textual Entailment
... Recognizing Textual Entailment (RTE) is pro- posed as a generic task that captures the seman- tic inference need across a wide range of natural language processing ... See full document
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Recognizing Implied Predicate Argument Relationships in Textual Inference
... for recognizing textual en- tailment is to verify that all the textual elements of the Hypothesis are covered, or aligned, by el- ements of the ... See full document
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Análise de Medidas de Similaridade Semântica na Tarefa de Reconhecimento de Implicação Textual (Analysis of Semantic Similarity Measures in the Recognition of Textual Entailment Task)[In Portuguese]
... de onde tamb´em s˜ao obtidas regras de relacionamento, atraves de um sistema de rule learner – AMIE [ref]. Um exemplo de regra aprendida pelo AMIE ´e “se uma pes- soa mora na cidade A e trabalha na empresa B, a ... See full document
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Bayesian Inference Semantics: A Modelling System and A Test Suite
... In order to illustrate BIS’s coverage we have con- structed a test suite. We construct a test suite rather than use any of the existing test suites for infer- ence because all of the latter (e.g. the FraCaS test suite ... See full document
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Where Was Alexander the Great in 325 BC? Toward Understanding History Text with a World Model
... In this work, we create a world model for inter- preting documents on Alexander the Great, who was a famous king of ancient Macedonia. Fig- ure 1 shows the graph that we have manually cre- ated from a map using ... See full document
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Multimodal Logical Inference System for Visual Textual Entailment
... Grounded representations from image-text pairs are useful to solve such inference tasks. With the development of large-scale corpora such as Visual Genome (Krishna et al., 2017) and methods of au- tomatic graph ... See full document
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A Study of Machine Learning Algorithms for Recognizing Textual Entailment
... system. Using a machine learning approach we tested with different classifiers in order to classify RTE-4 test pairs in three classes: entailment, contradiction or ... See full document
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