Alternatives and similar repositories for tableQA:

Users that are interested in tableQA are comparing it to the libraries listed below

• salesforce / TabularSemanticParsing
  Translating natural language questions to a structured query language
  ☆224Updated last year
• guotong1988 / NL2SQL-RULE
  Content Enhanced BERT-based Text-to-SQL Generation https://arxiv.org/abs/1910.07179
  ☆189Updated 3 months ago
• md-experiments / elastic_transformers
  Making BERT stretchy. Semantic Elasticsearch with Sentence Transformers
  ☆158Updated 4 years ago
• microsoft / rat-sql
  A relation-aware semantic parsing model from English to SQL
  ☆411Updated last year
• jkkummerfeld / text2sql-data
  A collection of datasets that pair questions with SQL queries.
  ☆550Updated this week
• vibhavnirmal / Knowledge-Graph-based-QnA
  Developing a Knowledge Graph-based Question and Answering program to extract information from huge dataset
  ☆97Updated last year
• tiwarikajal / Seq2SQL--Natural-Language-sentences-to-SQL-Queries
  ☆71Updated 3 years ago
• hellohaptik / multi-task-NLP
  multi_task_NLP is a utility toolkit enabling NLP developers to easily train and infer a single model for multiple tasks.
  ☆371Updated 2 years ago
• yuanbit / FinBERT-QA
  Financial Domain Question Answering with pre-trained BERT Language Model
  ☆123Updated last year
• lyuqin / HydraNet-WikiSQL
  Code and trained model for Hybrid ranking network for text-to-SQL on WikiSQL
  ☆66Updated last year
• sayef / fsner
  Few-shot Named Entity Recognition
  ☆122Updated 2 years ago
• microsoft / IRNet
  An algorithm for cross-domain NL2SQL
  ☆271Updated last year
• yashbonde / text2sql
  Convert natural language query to appropriate SQL, make ERPs cool again.
  ☆74Updated 4 years ago
• theblackcat102 / language-models-are-knowledge-graphs-pytorch
  Language models are open knowledge graphs ( non official implementation )
  ☆168Updated 4 years ago
• PolyAI-LDN / task-specific-datasets
  A collection of task-specific NLU datasets
  ☆149Updated 2 years ago
• google-research / tapas
  End-to-end neural table-text understanding models.
  ☆1,154Updated 5 months ago
• ryanzhumich / editsql
  ☆203Updated 5 months ago
• awslabs / gap-text2sql
  GAP-text2SQL: Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training
  ☆101Updated 10 months ago
• diffbot / knowledge-net
  KnowledgeNet: A Benchmark Dataset for Knowledge Base Population
  ☆266Updated 3 years ago
• xlang-ai / UnifiedSKG
  [EMNLP 2022] Unifying and multi-tasking structured knowledge grounding with language models
  ☆549Updated last year
• brunnurs / valuenet
  ValueNet: A Neural Text-to-SQL Architecture Incorporating Values
  ☆66Updated last year
• Agrover112 / awesome-semantic-search
  A curated list of awesome resources related to Semantic Search🔎 and Semantic Similarity tasks.
  ☆345Updated last year
• ServiceNow / picard
  PICARD - Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models. PICARD is a ServiceNow Research project tha…
  ☆347Updated last year
• microsoft / Table-Pretraining
  ICLR 2022 Paper, SOTA Table Pre-training Model, TAPEX: Table Pre-training via Learning a Neural SQL Executor
  ☆292Updated last year
• wangpinggl / TREQS
  Text-to-SQL Generation for Question Answering on Electronic Medical Records
  ☆120Updated 3 years ago
• vector-ai / vectorai
  Vector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.
  ☆309Updated 10 months ago
• renatoviolin / Question-Answering-Albert-Electra
  Question Answering using Albert and Electra
  ☆206Updated last year
• DebadityaPal / RoBERTa-NL2SQL
  A Data Blind Approach to the popular Semantic Parsing task NL2SQL
  ☆17Updated 4 years ago
• castorini / pygaggle
  a gaggle of deep neural architectures for text ranking and question answering, designed for Pyserini
  ☆345Updated last year
• aj-naik / Text-Summarization
  Abstractive and Extractive Text summarization using Transformers.
  ☆82Updated last year