DoSSIER@COLIEE 2021: Leveraging dense retrieval and summarization-based re-ranking for case law retrieval [PDF]
In this paper, we present our approaches for the case law retrieval and the legal case entailment task in the Competition on Legal Information Extraction/Entailment (COLIEE) 2021. As first stage retrieval methods combined with neural re-ranking methods using contextualized language models like BERT achieved great performance improvements for ...
arxiv
Characterization of fungal carbonyl sulfide hydrolase belonging to clade D β‐carbonic anhydrase
Here, we performed a functional analysis of the fungal enzymes belonging to clade D of the β‐class carbonic anhydrase family (β‐D‐CA). The β‐D‐CAs in the basidiomycete Gloeophyllum trabeum and the ascomycete Trichoderma harzianum showed very low activity in the hydration of CO2 but exhibited high activity in the hydrolysis of carbonyl sulfide (COS ...
Ryuka Iizuka+6 more
wiley +1 more source
Uniqueness of radiomic features in non‐small cell lung cancer
Abstract Purpose The uniqueness of radiomic features, combined with their reproducibility, determines the reliability of radiomic studies. This study is to test the hypothesis that radiomic features extracted from a defined region of interest (ROI) are unique to the underlying structure (e.g., tumor). Approach Two cohorts of non‐small cell lung cancer (
Gary Ge, Jie Zhang
wiley +1 more source
Drum Transcription via Classification of Bar-level Rhythmic Patterns [PDF]
acceptedMatthias Mauch is supported by a Royal Academy of Engineering Research ...
15th International Society for Music Information Retrieval Conference+3 more
core
Transfer Learning for Named Entity Recognition in Financial and Biomedical Documents
Recent deep learning approaches have shown promising results for named entity recognition (NER). A reasonable assumption for training robust deep learning models is that a sufficient amount of high-quality annotated training data is available.
Sumam Francis+2 more
doaj +1 more source
An efficient long-text semantic retrieval approach via utilizing presentation learning on short-text
Although the short-text retrieval model by BERT achieves significant performance improvement, research on the efficiency and performance of long-text retrieval still faces challenges.
Junmei Wang+2 more
doaj +1 more source
Context Tuning for Retrieval Augmented Generation [PDF]
Large language models (LLMs) have the remarkable ability to solve new tasks with just a few examples, but they need access to the right tools. Retrieval Augmented Generation (RAG) addresses this problem by retrieving a list of relevant tools for a given task.
arxiv
This study explores the distinct molecular mechanisms underlying Lynch syndrome‐associated and sporadic colorectal cancer (CRC). By highlighting the therapeutic potential of targeting the PI3K‐Akt pathway in Lynch syndrome‐associated CRC and the Wnt pathway in sporadic CRC, the findings open avenues for personalised treatment strategies, aiming to ...
May J. Krause+2 more
wiley +1 more source
Information Retrieval Models [PDF]
Many applications that handle information on the internet would be completely\ud inadequate without the support of information retrieval technology. How would\ud we find information on the world wide web if there were no web search engines?\ud How would ...
Hiemstra, Djoerd
core +3 more sources
Consecutive retrieval with redundancy: an optimal linear and an optimal cyclic arrangement and their storage space requirements [PDF]
Information retrieval, file organization, consecutive retrieval property, consecutive retrieval with redundancy, storage space requirements ...
Hoopen, J. ten
core +2 more sources