Textual Inference
Textual Inference and Meaning Representation in Human Robot Interaction
... This paper provides a first investigation over existing textual inference paradigms in order to propose a generic framework able to capture major semantic aspects in Human Robot Interaction (HRI). We ...
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Overview of the MEDIQA 2019 Shared Task on Textual Inference, Question Entailment and Question Answering
... for inference and entail- ment in the medical domain, and their ap- plication to improve domain specific infor- mation retrieval and question answering sys- ...Language Inference (NLI), Recogniz- ing ...
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Recognizing Implied Predicate Argument Relationships in Textual Inference
... Another case is when an implied predicate- argument relationship holds even though the cor- responding role is already filled by another argu- ment, hence not an NI. Consider example 4 of Ta- ble 1. While the object of ...
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Unsupervised Resource Creation for Textual Inference Applications
... formal textual inference problem, performed either by theorem proving or model ...recognizing textual entailment and textual contradiction, we have developed a novel framework which depends on ...
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Scaling Textual Inference to the Web
... Textual Inference (TI) methods have advanced in recent ...example, textual entailment tech- niques aim to determine whether one textual frag- ment (the hypothesis) follows from another (the ...
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Dr Quad at MEDIQA 2019: Towards Textual Inference and Question Entailment using contextualized representations
... In this work, we present a multi-task learning ap- proach for textual inference and question entail- ment tailored for the medical domain. We observe that incorporating domain knowledge for special- ized ...
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Light Textual Inference for Semantic Parsing
... of the sentence, in some cases creating negated forms of the original sentences. We expanded the original named-entity annotations to normalized semantic representations, and produced a set of distractor events (or ...
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Textual Inference: getting logic from humans
... We consider the category of pairs where A entails B and B is neutral with respect to A (AeBBnA). It is natural to start with this category as it is required to judge the others. The investigation of the wrong pairs ...
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Robust Textual Inference via Graph Matching
... A fundamental stumbling block for several NLP ap- plications is the lack of robust and accurate seman- tic inference. For instance, question answering sys- tems must be able to recognize, or infer, an answer which ...
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Logic Programs vs First Order Formulas in Textual Inference
... How restrictive is this requirement? The website shown in Footnote 1 gives the first-order formulas corresponding to 799 textual entailment problems from the second PASCAL collection that were produced by ...
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Multimodal Logical Inference System for Visual Textual Entailment
... visual-textual inference, demonstrating the importance of building a framework for rep- resenting the richer semantic content of texts and ...and inference engine, can perform visual-textual ...
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Learning to recognize features of valid textual entailments
... During the last five years there has been a surge in work which aims to provide robust textual inference in arbitrary domains about which the system has no expertise. The best-known such work has occurred ...
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Inference Rules and their Application to Recognizing Textual Entailment
... with textual inference is through rule representation, for example X wrote Y ≈ X is author of ...of inference rules is time-consuming and it is unlikely that humans can exhaustively enumerate all the ...
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“Ask Not What Textual Entailment Can Do for You ”
... RTE/textual inference. Deter- mining the correct label for a single textual en- tailment example requires human analysts to make many smaller, localized decisions which may de- pend on each ...
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Efficient Logical Inference for Semantic Processing
... to textual inference; however the use of abstract denotations to convey logical inference is somehow ...logical inference: (i) at the tree level, by defining a set of logically sound ...
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Building Textual Entailment Specialized Data Sets: a Methodology for Isolating Linguistic Phenomena Relevant to Inference
... Recognizing Textual Entailment (RTE) consists of developing a system that, given two text fragments (a text T and a hypothesis H), can determine whether the meaning of one text snippet can be inferred from the ...
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Comprehension: outcomes of reading
... the textual materials and SRMs have been shown to be at the higher ...of textual materials with correct pronunciation, comprehension by reading textual materials and dictation of sentences, in ...
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Recognising Textual Entailment with Logical Inference
... of textual entailment is without doubt one of the ultimate challenges for any NLP system: if it is able to do so with reasonable accu- racy, it is clearly an indication that it has some thor- ough understanding of ...
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An overview of Natural Language Inference Data Collection: The way forward?
... It is important that the data set be grounded in real data so that it does not just represent armchair intuitions of linguistic experts as the FraCaS test suite does. It also seems important to us that the real data ...
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Similarity-based methods for potential human microRNA-disease association prediction
... After confirming the usefulness of our methods, we chose the best-performed method NetCBI to conduct a compre- hensive prediction of unknown associations between all possible miRNAs and diseases. In the inference ...
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