56 datasets found

The dataset used in the paper is the MSLR-WEB30K dataset and the Yahoo! LTR dataset, which are the largest public LTR datasets from commercial search engines.

The dataset used in this paper for novel token prediction in e-commerce search.

The dataset contains three passage-ranking datasets: WikipassageQA, InsuranceQA v2, and MS-MARCO.

In this paper, we propose a weak supervision framework for neural ranking tasks based on the data programming paradigm (Ratner et al., 2016), which enables us to leverage...

The dataset used for the experiments originated from the CLEF 2017 e-Health Lab Task 2 “Technology Assisted Reviews in Empirical Medicine”.

This paper proposes a method for learning-to-rank with contextual neural language modeling.

This paper proposes a method for learning to rank, which is a key task in information retrieval.

The MathMLBen dataset is used to evaluate the performance of formula embedding techniques for mathematical information retrieval.

The arXMLiv 2018 dataset is an HTML collection of the arXiv.org preprint archive, used as a training corpus for word embedding techniques.

The dataset used in the paper is a user study dataset, where participants are shown query-document pairs and asked questions about different relevance dimensions.

COVID-19 Vaccination Search Insights dataset is a collection of anonymized search queries and their corresponding labels, which indicate whether the query is related to COVID-19...

The TREC Deep Learning 2021 collection is a test collection for information retrieval evaluation, adopting a shallow pooling approach.

The TREC-8 ad hoc collection is a test collection for information retrieval evaluation, known for its high-quality pool.

The dataset used in the paper is the TREC Dynamic Domain 2015 ad-hoc retrieval task, which includes search result diversification. The dataset consists of 23 official runs and...

The dataset used in the paper is the TREC Web Track 2014 ad-hoc retrieval task, which includes search result diversification. The dataset consists of 50 test topics and 10,000...

Web pages are a valuable source of information for many natural language processing and information retrieval tasks. Extracting the main content from those documents is...

The dataset used in the paper is the Robust04 dataset, a news corpus containing 0.5M documents and 249 queries.

Conceptual indexing includes the process of annotating raw text by concepts of a particular knowledge source. It is used to represent the content of documents and queries by...

The BioASQ dataset contains questions and answers from various sources, including Wikipedia and biomedical literature.

The CORD-19 dataset contains academic journal articles relating to a variety of coronaviruses and related viral infections, not only COVID-19, sourced from PubMed Central (PMC),...