louis-li / SeqGenSQL
A T5 based sequence generation model for WikiSQL task. Achieving 90.3% on test data set using sequence generation.
☆17Updated 4 years ago
Alternatives and similar repositories for SeqGenSQL:
Users that are interested in SeqGenSQL are comparing it to the libraries listed below
- ValueNet: A Neural Text-to-SQL Architecture Incorporating Values☆66Updated 2 years ago
- SQL-to-Text is a simple code for translating SQL to Text Generation with a novel Graph-to-Sequence Model☆73Updated 6 years ago
- ☆57Updated 3 years ago
- ☆34Updated last year
- 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
- Using Deep Learning to translate natural language questions to SQL code☆49Updated 6 years ago
- A repository for our AAAI-2020 Cross-lingual-NER paper. Code will be updated shortly.☆46Updated 2 years ago
- Template Extraction from unstructured Wikipedia text using NLP techniques.☆41Updated 4 years ago
- Developing a Knowledge Graph-based Question and Answering program to extract information from huge dataset☆97Updated last year
- GAP-text2SQL: Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training☆102Updated 10 months ago
- Training T5 to perform numerical reasoning.☆23Updated 3 years ago
- IR-BERT at TREC 2020: Leveraging BERT for Semantic Search in Background Linking☆14Updated 2 years ago
- Translating natural language questions to a structured query language☆223Updated last year
- Code for Paper "Target-oriented Fine-tuning for Zero-Resource Named Entity Recognition"☆21Updated 2 years ago
- This repository contains the code for the CONLL 2019 paper "Investigating Entity Knowledge in BERT with Simple Neural End-To-End Entity L…☆45Updated 6 months ago
- Code for the paper Data-to-Text Generation with Iterative Text Editing☆14Updated 3 years ago
- TAP (Translucent Answer Prediction), is a system to identify answers and evidence (in the form of supporting facts) in an RCQA task that …☆28Updated 5 years ago
- Interpretable feature construction from taxonomies for text classification☆18Updated 2 years ago
- Uses GloVe embeddings and greedy sequence segmentation to semantically segment a text document into any number of k segments.☆32Updated 5 years ago
- FRAKE: Fusional Real-time Automatic Keyword Extraction☆21Updated last year
- Source code for our AAAI 2020 paper P-SIF: Document Embeddings using Partition Averaging☆34Updated 4 years ago
- On Generating Extended Summaries of Long Documents☆78Updated 4 years ago
- An easy to use framework for large-scale fact-checking and question answering☆69Updated last year
- Text-to-SQL in the Wild: A Naturally-Occurring Dataset Based on Stack Exchange Data☆101Updated 3 years ago
- simple rule based named entity recognition☆43Updated 3 years ago
- NS-CQA: the model of the JWS paper 'Less is More: Data-Efficient Complex Question Answering over Knowledge Bases.' This work has been acc…☆22Updated 4 years ago
- ☆36Updated 2 years ago
- Keyphrase Extraction based on Scientific Text, Semeval 2017, Task 10☆108Updated 2 years ago
- A framework for building semantic parsers (including neural module networks) with AllenNLP, built by the authors of AllenNLP☆107Updated 2 years ago
- ☆69Updated 4 years ago