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Found 15 papers, 2 papers with code
Improved N-Best Extraction with an Evaluation on Language Data
We show that a previously proposed algorithm for the N-best trees problem can be made more efficient by changing how it arranges and explores the search space.
Bridging Perception, Memory, and Inference through Semantic Relations
There is a growing consensus that surface form alone does not enable models to learn meaning and gain language understanding.
Generating Semantic Graph Corpora with Graph Expansion Grammar
We introduce Lovelace, a tool for creating corpora of semantic graphs.
An Algebraic Approach to Learning and Grounding
The objective is to simultaneously fill in the missing algebraic operations in $\alg$ and ground the variables of every $\varphi_i$ in $O_i$, so that the combined value of the terms is optimised.
Polynomial Graph Parsing with Non-Structural Reentrancies
Graph-based semantic representations are valuable in natural language processing, where it is often simple and effective to represent linguistic concepts as nodes, and relations as edges between them.
Probing Multimodal Embeddings for Linguistic Properties: the Visual-Semantic Case
Semantic embeddings have advanced the state of the art for countless natural language processing tasks, and various extensions to multimodal domains, such as visual-semantic embeddings, have been proposed.
Bottom-Up Unranked Tree-to-Graph Transducers for Translation into Semantic Graphs
We propose a formal model for translating unranked syntactic trees, such as dependency trees, into semantic graphs.
Weighted DAG Automata for Semantic Graphs
Graphs have a variety of uses in natural language processing, particularly as representations of linguistic meaning.
