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Greatest papers with code

ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language Generation

26 Jan 2020PaddlePaddle/ERNIE

Current pre-training works in natural language generation pay little attention to the problem of exposure bias on downstream tasks.

 Ranked #1 on Text Summarization on GigaWord-10k (using extra training data)

ABSTRACTIVE TEXT SUMMARIZATION DIALOGUE GENERATION GENERATIVE QUESTION ANSWERING QUESTION GENERATION

CoQA: A Conversational Question Answering Challenge

TACL 2019 stanfordnlp/coqa-baselines

Humans gather information by engaging in conversations involving a series of interconnected questions and answers.

GENERATIVE QUESTION ANSWERING READING COMPREHENSION

Neural Generative Question Answering

WS 2016 jxfeb/Generative_QA

Empirical study shows the proposed model can effectively deal with the variations of questions and answers, and generate right and natural answers by referring to the facts in the knowledge-base.

GENERATIVE QUESTION ANSWERING TEXT GENERATION

PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned Generation

14 Apr 2020overwindows/PALM

An extensive set of experiments show that PALM achieves new state-of-the-art results on a variety of language generation benchmarks covering generative question answering (Rank 1 on the official MARCO leaderboard), abstractive summarization on CNN/DailyMail as well as Gigaword, question generation on SQuAD, and conversational response generation on Cornell Movie Dialogues.

ABSTRACTIVE TEXT SUMMARIZATION CONVERSATIONAL RESPONSE GENERATION DENOISING GENERATIVE QUESTION ANSWERING LANGUAGE MODELLING NATURAL LANGUAGE UNDERSTANDING QUESTION GENERATION TEXT GENERATION

KPQA: A Metric for Generative Question Answering Using Keyphrase Weights

1 May 2020hwanheelee1993/KPQA

To evaluate our metric, we create high-quality human judgments of correctness on two GenQA datasets.

GENERATIVE QUESTION ANSWERING