420 datasets found

The dataset used in the paper for instruction following task

speechocean762: An open-source non-native English speech corpus for pronunciation assessment.

A hierarchical context-aware modeling approach for multi-aspect and multi-granular pronunciation assessment

The authors evaluate the performance of their proposed conformal prediction methods for multistep feedback covariate shift (MFCS) on synthetic black-box optimization and active...

A text and data mining course on Natural Language Processing, adapted for online teaching during the COVID-19 pandemic.

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...

The dataset used in this paper is the Hearst dataset, which is a collection of text documents.

The dataset used in this paper is the WordNet Noun dataset, which is a collection of nouns with their semantic relationships.

The Universal Conceptual Cognitive Annotation (UCCA) dataset is a graph-based semantic annotation scheme based on typological linguistic principles.

The dataset used for clustering contains the 2000 most frequent nouns in the Russian Web corpus.

The dataset used for clustering contains the 2000 most frequent nouns in the Spanish Gigaword corpus.

The dataset used for clustering contains the 2000 most frequent nouns in the British National Corpus (BNC) and the English Gigaword corpus.

Toward an Architecture for Never-ending Language Learning.

Fine-grained analysis of sentence embeddings using auxiliary prediction tasks.

The dataset used in the paper is a set of 35 complex and ambiguous object goal navigation and mobile pick-and-place instructions.

A large dataset of Korean text.

A dataset for Sanskrit ASR

A new Sanskrit speech corpus and a large-vocabulary ASR system for Sanskrit

DuReader dataset is a Chinese machine reading comprehension dataset, focusing on real-world web data

HONEST is a fairness dataset specifically designed to assess LMs' outputs' hurtfulness.