A solution to get the problem off, have you found it? Really? What kind of solution do you resolve the problem? From what sources? Well, there are so many questions that we utter every day. No matter how you will get the solution, it will mean better. You can take the reference from some books. And the the new realities is one book that we really recommend you to read, to get more solutions in solving this problem.

https://link.springer.com/content/pdf/10.1057%2Fjors.1990.190.pdf

The New Realities

Non-Transformational Syntax: Formal and Explicit Models of Grammar

This paper proposes to tackle the AMR parsing bottleneck by improving two components of an AMR parser: concept identification and alignment. We first build a Bidirectional LSTM based concept identifier that is able to incorporate richer contextual information to learn sparse AMR concept labels. We then extend an HMM-based word-to-concept alignment model with graph distance distortion and a rescoring method during decoding to incorporate the structural information in the AMR graph. We show integrating the two components into an existing AMR parser results in consistently better performance over the state of the art on various datasets.

/pdf/getting-the-most-out-of-amr-parsing-44zdf44csb.pdf

Getting the Most out of AMR Parsing

"An Essay Towards a Real Character and a Philosophical Language and An Alphabetical Dictionary". Implications of a Conceptual and Alphabetic Arrangement in Defining Procedures

The intersection between music and Extended Reality (XR) has grown significantly over the past twenty years, amounting to an established area of research today. The use of XR technologies represents a fundamental paradigm shift for various musical contexts as they disrupt traditional notions of musical interaction by enabling performers and audiences to interact musically with virtual objects, agents, and environments. This article both surveys and expands upon the knowledge accumulated in existing research in this area to build a foundation for future works that bring together Music and XR. To this end, we created a freely available dataset of 260 publications in this space and conducted an in-depth analysis covering 199 works in the last decade. We conducted this analysis using a list of conceptual dimensions belonging to technical, artistic, perceptual and methodological domains. This review of the literature is complemented with a set of interviews with domain experts with the goal of establishing a definition for the emergent field of Musical XR, i.e., the field of music in Extended Realities. Based on the results of the conducted review, a research agenda for the field is proposed.

/pdf/music-in-extended-realities-439o31hfup.pdf

Music in Extended Realities

Motivated by applications in natural language processing, we study the uniform membership problem for hyperedge-replacement grammars that generate directed acyclic graphs. Our major result is a low-degree polynomial-time algorithm that solves the uniform membership problem for a restricted type of such grammars. We motivate the necessity of the restrictions by two different NP-completeness results.

Between a Rock and a Hard Place – Uniform Parsing for Hyperedge Replacement DAG Grammars

Kepler Concordia, a new scientific and musical instrument enabling players to explore the solar system and other data within immersive extended-reality (XR) platforms, is being designed by a divers...

Concordia: A musical XR instrument for playing the solar system

Uniform Parsing for Hyperedge Replacement Grammars

Order-Preserving DAG Grammars (OPDGs) is a subclass of Hyper-Edge Replacement Grammars that can be parsed in polynomial time Their associated class of languages is known as Ordered DAG Languages, and the graphs they generate are characterised by being acyclic, rooted, and having a natural order on their nodes OPDGs are useful in natural-language processing to model abstract meaning representations We state and prove a Myhill-Nerode theorem for ordered DAG languages, and translate it into a MAT-learning algorithm for the same class The algorithm infers a minimal OPDG G for the target language in time polynomial in G and the samples provided by the MAT oracle

On the Regularity and Learnability of Ordered DAG Languages

Parsing for mildly context-sensitive language formalisms is an important area within natural language processing. While the complexity of the parsing problem for some such formalisms is known to be polynomial, this is not the case for all of them. This article presents a series of results regarding the complexity of parsing for linear context-free rewriting systems and deterministic tree-walking transducers. We discuss the difference between uniform and nonuniform complexity measures and how parameterized complexity theory can be used to investigate how different aspects of the formalisms influence how hard the parsing problem is. The main results we survey are all hardness results and indicate that parsing is hard even for relatively small values of parameters such as rank and fan-out in a rewriting system.

https://www.mdpi.com/1999-4893/9/2/32/pdf

Petter Ericson

Papers

Between a Rock and a Hard Place – Uniform Parsing for Hyperedge Replacement DAG Grammars

Concordia: A musical XR instrument for playing the solar system

Uniform Parsing for Hyperedge Replacement Grammars

On the Regularity and Learnability of Ordered DAG Languages

Uniform vs. Nonuniform Membership for Mildly Context-Sensitive Languages: A Brief Survey