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
Oct 8, 2024 - Python
Natural Language Processing for the next decade. Tokenization, Part-of-Speech Tagging, Named Entity Recognition, Syntactic & Semantic Dependency Parsing, Document Classification
[COLM 2024] OpenAgents: An Open Platform for Language Agents in the Wild
[EMNLP 2022] Unifying and multi-tasking structured knowledge grounding with language models
A relation-aware semantic parsing model from English to SQL
Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.
A KBQA system based on DBpedia.
Multiple paper open-source codes of the Microsoft Research Asia DKI group
ICLR 2022 Paper, SOTA Table Pre-training Model, TAPEX: Table Pre-training via Learning a Neural SQL Executor
[ACL 2024] Official resources of "ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models".
SoTA Abstract Meaning Representation (AMR) parsing with word-node alignments in Pytorch. Includes checkpoints and other tools such as statistical significance Smatch.
Provide Semantic Parsing solutions and Natural Language Inferences for multiple languages following the idea of the syntax-semantics interface.
A list of recent papers about Meta / few-shot learning methods applied in NLP areas.
Translating natural language questions to a structured query language
[ICML 2023] Data and code release for the paper "DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation".
The Resources for "Natural Language to Logical Form" ; "自然语言转逻辑形式"研究资料收集。
Content Enhanced BERT-based Text-to-SQL Generation https://arxiv.org/abs/1910.07179
AMR Parsing as Sequence-to-Graph Transduction
A dataset of complex questions on semi-structured Wikipedia tables
[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".
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