[PDF] Top 20 Efficient Logical Inference for Semantic Processing
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Efficient Logical Inference for Semantic Processing
... can logical inference help RTE? Logical inference is shown to be useful for RTE, as Tian et ...currently logical inference only fills very limited short gaps from T to ...The ... See full document
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Logical Inference on Dependency based Compositional Semantics
... cal inference on DCS, and we developed a textual inference system based on the ...strict inference as on FraCaS data and robust reasoning as on RTE ...more efficient reasoning, is used as a ... See full document
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Higher order logical inference with compositional semantics
... adequate semantic represen- tations for natural language demand higher-order logic or type theory (Carpenter, 1997), the domi- nant view in computational linguistics is that infer- ences based on higher-order ... See full document
7
Combining Axiom Injection and Knowledge Base Completion for Efficient Natural Language Inference
... where logical formulas that represent H and P are constructed and used in a formal proof ...of semantic phe- nomena that are still challenging for the current neural mod- els (Wang et ... See full document
8
Probabilistic Soft Logic for Semantic Textual Similarity
... For several reasons, we believe PSL is a more ap- propriate probabilistic logic for STS than MLNs. First, it is explicitly designed to support efficient inference, therefore it scales better to longer sen- ... See full document
10
A Type coherent, Expressive Representation as an Initial Step to Language Understanding
... tense-aspect processing, constructing tense trees for temporally relating event variables, is only possible if the LF being processed reflects the original clausal structure – as ULF indeed ...Episodic ... See full document
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Towards a new model of semantic processing: Task-specific effects of concreteness and semantic neighbourhood density in visual word recognition
... demonstrate semantic effects. For example, facilitative semantic priming effects occur for word pairs that often co-occur (but do not share features) such as HAIR - BRUSH ... See full document
175
Light Textual Inference for Semantic Parsing
... on Semantic Parsing, specifically within the ambiguous learning paradigm, and shows how to integrate light syntactic inference into the learning using event polarity and context as loose ...well-understood ... See full document
12
Fitting, Not Clashing! A Distributional Semantic Model of Logical Metonymy
... of logical metonymy processing (such as longer reading and eye-tracking times) found so far in cognitive ...in logical metonymy can be explained with a single mechanism relying on general event ... See full document
6
Inference with Distributional Semantic Models
... relation between nominal phrases and their super-ordinates (refer to Section 3.3.2 for a more in-detail description of these measures). On the other hand, it has been noticed that distributional context inclusion defines ... See full document
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An efficient parallel algorithm for haplotype inference based on rule based approach and consensus methods.
... and efficient parallel algorithms for Haplotype Inference based on Consensus Method proposed by Orzack and Gusfield in [Orzack ...Clark’s Inference rule, on the number of accurately inferred ... See full document
80
Multimodal Logical Inference System for Visual Textual Entailment
... for inference using semantically complex sentences including quantifier and nega- ...performs inference on these queries, returning the correct images, while excluding wrong ones (note that the third ... See full document
7
Transforming Dependency Structures to Logical Forms for Semantic Parsing
... There are two relevant strands of prior work: gen- eral purpose ungrounded semantics and grounded semantic parsing. The former have been studied on their own and as a component in tasks such as seman- tic parsing ... See full document
14
Pragmatic reasoning through semantic inference
... between semantic content and pragmatic content. Under this proposal, the semantic content of an utterance is not fixed independent of pragmatic inference; rather, pragmatic inference partially ... See full document
84
Aging and Semantic Processing
... many semantic neighbours has more close neighbours than a word with few neighbours by sheer virtue of its size and therefore greater probability of both more close and distant neighbours (Shaoul & Westbury, ... See full document
131
Image Enhancement using Hybrid Fuzzy Inference System (IEHFS)
... IMAGE ENHANCEMENT USING HYBRID FUZZY INFERENCE SYSTEM IEHFS Fuzzy inference maps the given input to the desired output using fuzzy logic by using membership functions, logical.. No Take [r] ... See full document
6
Semantic Processing of Nominal Metaphor: Figurative Abstraction and Embodied Simulation
... related semantic richness hypothesis (Al-Azary & Buchanan, 2017), in which metaphor processing entails inhibiting properties of the vehicle that are unrelated to the ... See full document
195
Improving Semantic Composition with Offset Inference
... be offset so that it represents a noun — a proto- typical “white thing”. This allows inferring plau- sible co-occurrences from other “things that can be white”, such as shoes or shirts. Our algorithm therefore reflects ... See full document
8
Processing Language with Logical Types and Active Constraints
... Informally, this constraint means that A originates the pending of the types in B, in other terms that A can be used as a type constructor if, somewhere else in the main type correspondi[r] ... See full document
6
AN EFFICIENT INFORMATION RETRIEVAL SYSTEM USING QUERY EXPANSION AND DOCUMENT RANKING
... Sentence similarity is needed during clustering to establish closeness between question objects. Sentence similarity between two questions can be established using either statistic similarity or semantic ... See full document
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