Anserini: Reproducible ranking baselines using Lucene
This work tackles the perennial problem of reproducible baselines in information retrieval
research, focusing on bag-of-words ranking models. Although academic information …
research, focusing on bag-of-words ranking models. Although academic information …
Ranking paragraphs for improving answer recall in open-domain question answering
Recently, open-domain question answering (QA) has been combined with machine
comprehension models to find answers in a large knowledge source. As open-domain QA …
comprehension models to find answers in a large knowledge source. As open-domain QA …
Multi-stage conversational passage retrieval: An approach to fusing term importance estimation and neural query rewriting
Conversational search plays a vital role in conversational information seeking. As queries in
information seeking dialogues are ambiguous for traditional ad hoc information retrieval (IR) …
information seeking dialogues are ambiguous for traditional ad hoc information retrieval (IR) …
[HTML][HTML] An anatomy for neural search engines
In this work, we explore the application of modern deep learning techniques to build a
neural model centric search engine. We conduct an in-depth discussion under several …
neural model centric search engine. We conduct an in-depth discussion under several …
[PDF][PDF] End-to-end neural ranking for ecommerce product search
We consider the problem of retrieving and ranking items in an eCommerce catalog, often
called SKUs, in order of relevance to a user-issued query. The input data for the ranking are …
called SKUs, in order of relevance to a user-issued query. The input data for the ranking are …
End-to-End Neural Ranking for eCommerce Product Search: an application of task models and textual embeddings
We consider the problem of retrieving and ranking items in an eCommerce catalog, often
called SKUs, in order of relevance to a user-issued query. The input data for the ranking are …
called SKUs, in order of relevance to a user-issued query. The input data for the ranking are …
Report on the second SIGIR workshop on neural information retrieval (Neu-IR'17)
The second SIGIR workshop on neural information retrieval (Neu-IR? 17) took place on
August 11, 2017, in Tokyo, Japan. Following the successful 2016 edition, the workshop …
August 11, 2017, in Tokyo, Japan. Following the successful 2016 edition, the workshop …