https://github.com/bgunlp/qpl
공식 코드Semantic Decomposition of Question and SQL for Text-to-SQL Parsing
Papers with Code 아카이브
Semantic Parsing
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Semantic Parsing is the task of transducing natural language utterances into formal meaning representations. The target meaning representations can be defined according to a wide variety of formalisms. This include linguistically-motivated semantic representations that are designed to capture the meaning of any sentence such as λ-calculus or the abstract meaning representations. Alternatively, for more task-driven approaches to Semantic Parsing, it is common for meaning representations to represent executable programs such as SQL queries, robotic commands, smart phone instructions, and even general-purpose programming languages like Python and Java.
Source: Tranx: A Transition-based Neural Abstract Syntax Parser for Semantic Parsing and Code Generation
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/bhanu068/lagnn
공식 코드Language Independent Neuro-Symbolic Semantic Parsing for Form Understanding
https://github.com/bigbigwatermalon/c3sql
공식 코드https://github.com/bingzhilee/slog
공식 코드SLOG: A Structural Generalization Benchmark for Semantic Parsing
https://github.com/bjerva/semantic-tagging
공식 코드https://github.com/borealisai/code-gen-tae
공식 코드Code Generation from Natural Language with Less Prior and More Monolingual Data
https://github.com/brunnurs/valuenet
공식 코드ValueNet: A Natural Language-to-SQL System that Learns from Database Information
https://github.com/c4ai/gap-text2sql
공식 코드https://github.com/c4ai/integrating-question-answering-and-text-to-sql-in-portuguese
공식 코드Integrating question answering and text-to-SQL in Portuguese
https://github.com/carhaas/nematus
공식 코드Learning Neural Sequence-to-Sequence Models from Weak Feedback with Bipolar Ramp Loss
https://github.com/carolinlawrence/nematus
공식 코드Improving a Neural Semantic Parser by Counterfactual Learning from Human Bandit Feedback
https://github.com/cdhx/queryagent
공식 코드https://github.com/cen-jipeng-suda/sqlfixagent
공식 코드https://github.com/ch4osmy7h/framenetparser
공식 코드A Graph-Based Neural Model for End-to-End Frame Semantic Parsing
https://github.com/chanind/frame-semantic-transformer
공식 코드https://github.com/chaofengc/PSFRGAN
공식 코드Progressive Semantic-Aware Style Transformation for Blind Face Restoration
https://github.com/charleschen1015/SemanticParsing
공식 코드Context-Dependent Semantic Parsing over Temporally Structured Data
https://github.com/chatc/TriageSQL
공식 코드https://github.com/chenllliang/atp
공식 코드ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs
https://github.com/chiahsuan156/KaggleDBQA
공식 코드https://github.com/chunyangx/overnight_more
공식 코드https://github.com/clab/joint-lstm-parser
공식 코드https://github.com/cmavro/rearev_kgqa
공식 코드ReaRev: Adaptive Reasoning for Question Answering over Knowledge Graphs
https://github.com/coastalcph/seq2sparql
공식 코드Compositional Generalization in Multilingual Semantic Parsing over Wikidata
https://github.com/coli-saar/am-parser
공식 코드https://github.com/coli-saar/syntax-cogs
공식 코드Structural generalization is hard for sequence-to-sequence models
https://github.com/cqu-isse/Plot2API
공식 코드Plot2API: Recommending Graphic API from Plot via Semantic Parsing Guided Neural Network
https://github.com/crazydonkey200/neural-symbolic-machines
공식 코드Memory Augmented Policy Optimization for Program Synthesis and Semantic Parsing
https://github.com/cszy98/SPGNet
공식 코드Learning Semantic Person Image Generation by Region-Adaptive Normalization
https://github.com/cuplv/text-to-sql-wizardcoder
공식 코드Analyzing the Effectiveness of Large Language Models on Text-to-SQL Synthesis
https://github.com/cxx226/dpf
공식 코드https://github.com/cycloneboy/base_sql
공식 코드BASE-SQL: A powerful open source Text-To-SQL baseline approach
https://github.com/cycloneboy/csc_sql
공식 코드CSC-SQL: Corrective Self-Consistency in Text-to-SQL via Reinforcement Learning
https://github.com/czbnlp/LPE-SQL
공식 코드Leveraging Prior Experience: An Expandable Auxiliary Knowledge Base for Text-to-SQL
https://github.com/daehwannam/candexpr-sp
공식 코드Semantic Parsing with Candidate Expressions for Knowledge Base Question Answering
https://github.com/dakingrai/ood-generalization-semantic-boundary-techniques
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.