microsoft / TableSense
☆35Updated 3 years ago
Alternatives and similar repositories for TableSense:
Users that are interested in TableSense are comparing it to the libraries listed below
- TUTA and ForTaP for Structure-Aware and Numerical-Reasoning-Aware Table Pre-Training☆108Updated 4 months ago
- [ACL 2022] A hierarchical table dataset for question answering and data-to-text generation.☆80Updated last week
- Code and experiment data for ICDM'19 paper, tabular cell classification using pre-trained cell embeddings. Note that the code and data is…☆27Updated last year
- This repository holds the annotated spreadsheet files, comprising the DECO dataset.☆13Updated 6 years ago
- This project makes available the code and data from our NAACL paper: "Capturing Row and Column Semantics in Transformer Based Question An…☆55Updated last year
- Two approaches for robust TableQA: 1) ITR is a general-purpose retrieval-based approach for handling long tables in TableQA transformer m…☆38Updated last year
- [SIGIR 2021] Retrieving Complex Tables with Multi-Granular Graph Representation Learning.☆47Updated 2 years ago
- The code and data for paper "Large Language Models are few(1)-shot Table Reasoners" [EACL2023]☆46Updated 11 months ago
- TAT-QA (Tabular And Textual dataset for Question Answering) contains 16,552 questions associated with 2,757 hybrid contexts from real-wor…☆105Updated 3 months ago
- Code and data for "TURL: Table Understanding through Representation Learning"☆121Updated 2 years ago
- ☆30Updated last year
- Pretraining with Natural and Synthetic Data for Few-shot Table-based Question Answering☆29Updated 2 years ago
- [NAACL 2022] Robust (Controlled) Table-to-Text Generation with Structure-Aware Equivariance Learning.☆57Updated 11 months ago
- ☆54Updated 2 years ago
- Using business-level retrieval system (BM25) with Python in just a few lines.☆31Updated 2 years ago
- A multi-purpose toolkit for table-to-text generation: web interface, Python bindings, CLI commands.☆55Updated 11 months ago
- [NAACL'24] Dataset, code and models for "TableLlama: Towards Open Large Generalist Models for Tables".☆127Updated 10 months ago
- An easy-to-use python toolkit for flexibly adapting various neural ranking models to target domain.☆59Updated last year
- SOTA on TabFact: Graph Neural Network for Table-based Fact Checking☆18Updated 4 years ago
- The WordScape repository contains code for the WordScape pipeline to create datasets to train document understanding models.☆35Updated last year
- Dataset for TACL 2022 paper: "FeTaQA: Free-form Table Question Answering"☆80Updated last year
- StruBERT: Structure-aware BERT for Table Search and Matching☆27Updated 2 years ago
- ☆59Updated 2 years ago
- ☆38Updated 3 months ago
- The code related to the baselines from NeurIPS 2021 paper "DUE: End-to-End Document Understanding Benchmark."☆36Updated 2 years ago
- ☆111Updated 8 months ago
- TAT-DQA: Towards Complex Document Understanding By Discrete Reasoning☆23Updated 6 months ago
- A comprehensive paper list of Reasoning over Tables.☆27Updated 2 years ago
- Token-level Reference-free Hallucination Detection☆94Updated last year
- Implementation of paper: HLATR: Enhance Multi-stage Text Retrieval with Hybrid List Aware Transformer Reranking☆68Updated 2 years ago