Table-to-Text Generation

9 papers with code · Natural Language Processing
Subtask of Text Generation

Table-to-Text Generation is to generate a description from the structured table.

Source: Key Fact as Pivot: A Two-Stage Model for Low Resource Table-to-Text Generation

Benchmarks

Greatest papers with code

Stepwise Extractive Summarization and Planning with Structured Transformers

EMNLP 2020 google-research/google-research

We propose encoder-centric stepwise models for extractive summarization using structured transformers -- HiBERT and Extended Transformers.

TABLE-TO-TEXT GENERATION

ToTTo: A Controlled Table-To-Text Generation Dataset

EMNLP 2020 google-research-datasets/ToTTo

We present ToTTo, an open-domain English table-to-text dataset with over 120, 000 training examples that proposes a controlled generation task: given a Wikipedia table and a set of highlighted table cells, produce a one-sentence description.

CONDITIONAL TEXT GENERATION DATA-TO-TEXT GENERATION TABLE-TO-TEXT GENERATION

Table-to-text Generation by Structure-aware Seq2seq Learning

27 Nov 2017tyliupku/wiki2bio

In the decoding phase, dual attention mechanism which contains word level attention and field level attention is proposed to model the semantic relevance between the generated description and the table.

TABLE-TO-TEXT GENERATION

Describing a Knowledge Base

WS 2018 EagleW/Describing_a_Knowledge_Base

We aim to automatically generate natural language descriptions about an input structured knowledge base (KB).

DATA-TO-TEXT GENERATION KB-TO-LANGUAGE GENERATION

Key Fact as Pivot: A Two-Stage Model for Low Resource Table-to-Text Generation

ACL 2019 lancopku/Pivot

We propose a novel model to separate the generation into two stages: key fact prediction and surface realization.

TABLE-TO-TEXT GENERATION

Table-to-Text Generation with Effective Hierarchical Encoder on Three Dimensions (Row, Column and Time)

IJCNLP 2019 ernestgong/data2text-three-dimensions

To address aforementioned problems, not only do we model each table cell considering other records in the same row, we also enrich table's representation by modeling each table cell in context of other cells in the same column or with historical (time dimension) data respectively.

TABLE-TO-TEXT GENERATION TIME SERIES

Handling Divergent Reference Texts when Evaluating Table-to-Text Generation

ACL 2019 KaijuML/parent

Automatically constructed datasets for generating text from semi-structured data (tables), such as WikiBio, often contain reference texts that diverge from the information in the corresponding semi-structured data.

TABLE-TO-TEXT GENERATION

Order-Planning Neural Text Generation From Structured Data

1 Sep 2017anindyasarkarIITH/Structure_data_to_summary

Generating texts from structured data (e. g., a table) is important for various natural language processing tasks such as question answering and dialog systems.

QUESTION ANSWERING TABLE-TO-TEXT GENERATION