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Result

Machine Learning for Semantic Parsing in Review

Spoken Language Understanding (SLU) and more specifically, semantic parsing is an indispensable task in each speech-enabled application. In this survey, we review the current research on SLU and semantic parsing wi...

IN - Informatika

  • 2015
  • D
Result

SDP 2014 & 2015: Broad Coverage Semantic Dependency Parsing

SDP 2014 & 2015: Broad Coverage Semantic Dependency Parsing consists of data, tools, system results, and publications associated with the 2014 and 2015 tasks on Broad-Coverage Semantic Dependency Parsing (SDP) cond...

AI - Jazykověda

  • 2016
  • R
  • Link
Result

Towards Comparability of Linguistic Graph Banks for Semantic Parsing

Increased interest in natural language 'understanding' has brought into the focus of much current work a variety of techniques often described as 'semantic parsing'....

IN - Informatika

  • 2016
  • D
  • Link
Result

Holistic Exploration on Universal Decompositional Semantic Parsing: Architecture, Data Augmentation, and LLM Paradigm

Semantic (UDS) parsing, aiming to provide a more efficient and effective solution for semantic parsing and to envision the development prospects after the emergence of large parsing that decomposes the co...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2024
  • D
  • Link
Result

SemEval 2014 Task 8: Broad-Coverage Semantic Dependency Parsing

We define broad-coverage semantic dependency parsing as the task of recovering sentence-internal predicate-argument relationships for all content words i.e. a semantic dependency structure that constitutes the core structur...

IN - Informatika

  • 2014
  • D
Result

Lexical Class Semantic Analysis

This paper describes an implementation of a lexical class identification based on context-free grammars and parsing methods. The semantic analysis of lexical classes is based on grammars enriched with semantic tags....

JD - Využití počítačů, robotika a její aplikace

  • 2008
  • D
Result

Automating Formalization by Statistical and Semantic Parsing of Mathematics

, and then propose a context-based parsing approach that combines efficient statistical learning of deep parse trees with their semantic pruning by type checking and large-theory by combining natural language processing wit...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2017
  • D
  • Link
Result

ZeLa: Advancing Zero-Shot Multilingual Semantic Parsing with Large Language Models and Chain-of-Thought Strategies

In recent years, there have been significant advancements in semantic parsing multilingual semantic parsing under the support of large language models (LLMs). Given data the effectiveness of our method by evaluatin...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2024
  • D
  • Link
Result

Soft Well-Formed Semantic Parsing with Score-Based Selection

Semantic parsing is the task of translating natural language into a structured, formal semantic representation that can be interpreted by machines. These semantic developed for semantic parsing, t...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2024
  • D
  • Link
Result

ÚFAL at MRP 2020: Permutation-invariant Semantic Parsing in PERIN

We present PERIN, a novel permutation-invariant approach to sentence-to-graph semantic parsing. PERIN is a versatile, cross-framework and language independent architecture for universal modeling of semantic structures. Our ...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2020
  • D
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