The PatentEval dataset is a comprehensive dataset for evaluating patent text generation.

The Big Patent dataset is a large-scale dataset for abstractive and coherent summarization.

The Harvard USPTO Dataset is a large-scale, well-structured, and multi-purpose corpus of patent applications.

The SQuAD 2.0 dataset is a new challenging task for natural language processing, which requires that machine can read, understand, and answer questions about a text. The dataset...

A benchmark dataset for learning to intervene in online hate speech.

The dataset used in the paper is the Penn Treebank dataset, which is a large-scale text classification dataset.

The Ubuntu Dialogue Corpus is the largest freely available multi-turn based dialogue corpus which consists of almost one million two-way conversations extracted from the Ubuntu...

Seq2SQL: Generating structured queries from natural language using reinforcement learning.

Semantic parsing maps a user-issued natural language (NL) utterance to a machine-executable meaning representation (MR), such as λ−calculus (Zettlemoyer and Collins, 2005), SQL...

Tabular question answering (TQA) presents a challenging setting for neural systems by requiring joint reasoning of natural language with large amounts of semi-structured data.

This paper uses a large text corpus to extract subjects and objects of verbs and represents them as abstract concepts.

The Penn Treebank (PTB) dataset is used for word ordering task. The dataset is used to evaluate the performance of different models for word ordering.

PAUSE is a generic and end-to-end sentence embedding approach that exploits the labels and explores the unlabeled sentence pairs simultaneously.

Human Pose Estimation (HPE) aims to estimate the position of each joint point of the human body in a given image. HPE tasks support a wide range of downstream tasks such as...

NLPContributionGraph - Structuring Scholarly NLP Contributions in the Open Research Knowledge Graph Background NLPContributionGraph was introduced as Task 11 at SemEval 2021 for...