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Found 6 papers, 6 papers with code
Improving the Robustness of Dense Retrievers Against Typos via Multi-Positive Contrastive Learning
Dense retrieval has become the new paradigm in passage retrieval.
Natural Language Processing of Aviation Occurrence Reports for Safety Management
In support of safety data analysis, reports are often categorized according to a taxonomy.
On the Impact of Speech Recognition Errors in Passage Retrieval for Spoken Question Answering
Finally, we create a new dataset with questions voiced by human users and use their transcriptions to show that the retrieval performance can further degrade when dealing with natural ASR noise instead of synthetic ASR noise.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+7
Analysing the Robustness of Dual Encoders for Dense Retrieval Against Misspellings
Dense retrieval is becoming one of the standard approaches for document and passage ranking.
Combining Lexical and Dense Retrieval for Computationally Efficient Multi-hop Question Answering
In simple open-domain question answering (QA), dense retrieval has become one of the standard approaches for retrieving the relevant passages to infer an answer.
Multi-hop Question Answering
Open-Domain Question Answering
+2
Knowledge Graph Simple Question Answering for Unseen Domains
Knowledge graph simple question answering (KGSQA), in its standard form, does not take into account that human-curated question answering training data only cover a small subset of the relations that exist in a Knowledge Graph (KG), or even worse, that new domains covering unseen and rather different to existing domains relations are added to the KG.
