facebookresearch/TaBERT
This repository contains source code for the TaBERT model, a pre-trained language model for learning joint representations of natural language utterances and (semi-)structured tables for semantic parsing. TaBERT is pre-trained on a massive corpus of 26M Web tables and their associated natural language context, and could be used as a drop-in replacement of a semantic parsers original encoder to compute representations for utterances and table schemas (columns).
PythonNOASSERTION
Stargazers
- 573Leipzig
- adityathiruKlarity Intelligence Inc.
- Ar9av
- bc@kaspect
- cky13579
- dipanjanS
- engahmed1190
- eueungInstitut Teknologi Bandung (ITB)
- fungeSF Bay Area
- gmenegattiSimbiose Ventures
- javierlorenzodNielsenIQ
- jbesomi
- joelxiangnanchen
- joesbrandt
- josecohenca
- joshes@PsiQ
- liamwazherealsoNetNumber Inc.
- LinuspBeijing
- manpoi
- matteobucalossi50George Washington University
- mdmartinezDenver, CO
- mtsardakas@GowerStreet
- niviksha
- nk6juneBengaluru
- patronum08NJU
- rmitsch@explosion
- samarth-bMicrosoft
- SantoshSrinivas79
- shadowspore@go-faster
- shanechinColumbia University
- stephenLeeBeijing
- tchigher
- thuet-amazon
- tpsatish95@microsoft
- vibhavagarwal5IIIT Bangalore
- YiLiu6240University of Bristol