Natural Language Processing for the next decade. Tokenization, Part-of-Speech Tagging, Named Entity Recognition, Syntactic & Semantic Dependency Parsing, Document Classification
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Updated
Apr 16, 2024 - Python
Natural Language Processing for the next decade. Tokenization, Part-of-Speech Tagging, Named Entity Recognition, Syntactic & Semantic Dependency Parsing, Document Classification
OpenAgents: An Open Platform for Language Agents in the Wild
A relation-aware semantic parsing model from English to SQL
A KBQA system based on DBpedia.
Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.
Multiple paper open-source codes of the Microsoft Research Asia DKI group
Provide Semantic Parsing solutions and Natural Language Inferences for multiple languages following the idea of the syntax-semantics interface.
[EMNLP 2022] Unifying and multi-tasking structured knowledge grounding with language models
Translating natural language questions to a structured query language
Content Enhanced BERT-based Text-to-SQL Generation https://arxiv.org/abs/1910.07179
SoTA Abstract Meaning Representation (AMR) parsing with word-node alignments in Pytorch. Includes checkpoints and other tools such as statistical significance Smatch.
ICLR 2022 Paper, SOTA Table Pre-training Model, TAPEX: Table Pre-training via Learning a Neural SQL Executor
[ACL 2021] This is the project containing source codes and pre-trained models about ACL2021 Long Paper ``LGESQL: Line Graph Enhanced Text-to-SQL Model with Mixed Local and Non-Local Relations".
AMR Parsing as Sequence-to-Graph Transduction
The Resources for "Natural Language to Logical Form" ; "自然语言转逻辑形式"研究资料收集。
A dataset of complex questions on semi-structured Wikipedia tables
SPRING is a seq2seq model for Text-to-AMR and AMR-to-Text (AAAI2021).
GAP-text2SQL: Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training
GenieNLP: A versatile codebase for any NLP task
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