نتایج جستجو برای: abstract semantic
تعداد نتایج: 500680 فیلتر نتایج به سال:
Earlier papers argued that term graphs play for the specification of relation-based algebras the same role that standard terms play for total algebras. The present contribution enforces the claim by showing that term graphs are a sound and complete representation for multiset algebras, i.e., algebras whose operators are interpreted over multisets.
Syntax + Semantic Anchoring Abstract Syntax + Semantic AnchoringSyntax + Semantic Anchoring Abstract Syntax + Semantic Anchoring Behavior Modeling ViewSyntax + Semantic Anchoring Behavior Modeling View Structural Modeling Views Interaction Modeling Views Resource Access Modeling Views TOOLS COMPOSITION PLATFORMS METAPROGRAMMABLE TOOLS
While large language models (LLMs) have demonstrated strong capability in structured prediction tasks such as semantic parsing, few amounts of research explored the underlying mechanisms their success. Our work studies different methods for explaining an LLM-based parser and qualitatively discusses explained model behaviors, hoping to inspire future toward better understanding them.
Few-shot learning can adapt the classification model to new labels with only a few labeled examples. Previous studies mainly focus on scenario of single category label per example but have not solved more challenging multi-label exponential-sized output space and low-data effectively. In this paper, we propose semantic-aware meta-learning for few-shot learning. Our approach learn infer semantic...
Abstract Extracting semantic roles is one of the major steps in representing text meaning. It refers to finding the semantic relations between a predicate and syntactic constituents in a sentence. In this paper we present a semantic role labeling system for Persian, using memory-based learning model and standard features. Our proposed system implements a two-phase architecture to first identify...
Evaluation is one of the major open problems in computational narrative. In this paper, we present an empirical study of SAM, an analogy-based story generation (ASG) algorithm, that was created as part of our Riu interactive narrative system. Specifically, our study focuses on SAM’s capability to retrieve and generate short non-interactive stories. Combining qualitative and quantitative methods...
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