Related Research Articles
Information retrieval (IR) in computing and information science is the process of obtaining information system resources that are relevant to an information need from a collection of those resources. Searches can be based on full-text or other content-based indexing. Information retrieval is the science of searching for information in a document, searching for documents themselves, and also searching for the metadata that describes data, and for databases of texts, images or sounds.
Question answering (QA) is a computer science discipline within the fields of information retrieval and natural language processing (NLP), which is concerned with building systems that automatically answer questions posed by humans in a natural language.
The UKeiG Strix award is an annual award for outstanding contributions to the field of information retrieval and is presented in memory of Dr Tony Kent, a past Fellow of the Institute of Information Scientists (IIS), who died in 1997. Tony Kent made a major contribution to the development of information science and information services both in the UK and internationally, particularly in the field of chemistry. The name 'Strix' was chosen to reflect Tony's interest in ornithology, and as the name of the last and most successful information retrieval packages that he created.
BCS, The Chartered Institute for IT, known as the British Computer Society until 2009, is a professional body and a learned society that represents those working in information technology (IT) and computer science, both in the United Kingdom and internationally. Founded in 1956, BCS has played an important role in educating and nurturing IT professionals, computer scientists, computer engineers, upholding the profession, accrediting chartered IT professional status, and creating a global community active in promoting and furthering the field and practice of computing.
Probabilistic latent semantic analysis (PLSA), also known as probabilistic latent semantic indexing is a statistical technique for the analysis of two-mode and co-occurrence data. In effect, one can derive a low-dimensional representation of the observed variables in terms of their affinity to certain hidden variables, just as in latent semantic analysis, from which PLSA evolved.
Multi-document summarization is an automatic procedure aimed at extraction of information from multiple texts written about the same topic. The resulting summary report allows individual users, such as professional information consumers, to quickly familiarize themselves with information contained in a large cluster of documents. In such a way, multi-document summarization systems are complementing the news aggregators performing the next step down the road of coping with information overload.
Biodiversity informatics is the application of informatics techniques to biodiversity information, such as taxonomy, biogeography or ecology. Modern computer techniques can yield new ways to view and analyze existing information, as well as predict future situations. Biodiversity informatics is a term that was only coined around 1992 but with rapidly increasing data sets has become useful in numerous studies and applications, such as the construction of taxonomic databases or geographic information systems. Biodiversity informatics contrasts with "bioinformatics", which is often used synonymously with the computerized handling of data in the specialized area of molecular biology.
Query expansion (QE) is the process of reformulating a given query to improve retrieval performance in information retrieval operations, particularly in the context of query understanding. In the context of search engines, query expansion involves evaluating a user's input and expanding the search query to match additional documents. Query expansion involves techniques such as:
The European Conference on Information Retrieval (ECIR) is the main European research conference for the presentation of new results in the field of information retrieval (IR). It is organized by the Information Retrieval Specialist Group of the British Computer Society (BCS-IRSG).
SIGIR is the Association for Computing Machinery's Special Interest Group on Information Retrieval. The scope of the group's specialty is the theory and application of computers to the acquisition, organization, storage, retrieval and distribution of information; emphasis is placed on working with non-numeric information, ranging from natural language to highly structured data bases.
Karen Spärck Jones was a pioneering British computer scientist responsible for the concept of inverse document frequency (IDF), a technology that underlies most modern search engines. In 2019, The New York Times published her belated obituary in its series Overlooked, calling her "a pioneer of computer science for work combining statistics and linguistics, and an advocate for women in the field." From 2008, to recognize her achievements in the fields of information retrieval (IR) and natural language processing (NLP), the Karen Spärck Jones Award is awarded to a new recipient with outstanding research in one or both of her fields.
Stephen Robertson is a British computer scientist. He is known for his work on probabilistic information retrieval together with Karen Spärck Jones and the Okapi BM25 weighting model.
Learning to rank or machine-learned ranking (MLR) is the application of machine learning, typically supervised, semi-supervised or reinforcement learning, in the construction of ranking models for information retrieval systems. Training data consists of lists of items with some partial order specified between items in each list. This order is typically induced by giving a numerical or ordinal score or a binary judgment for each item. The goal of constructing the ranking model is to rank new, unseen lists in a similar way to rankings in the training data.
Jaime Teevan is an American computer scientist known for her research in human-computer interaction and information retrieval. She is particularly known for the work she has done on personalized search. According to the Technology Review, Teevan "is a leader in using data about people's knowledge, preferences, and habits to help them manage information."
Concept-based image indexing, also variably named as "description-based" or "text-based" image indexing/retrieval, refers to retrieval from text-based indexing of images that may employ keywords, subject headings, captions, or natural language text. It is opposed to Content-based image retrieval. Indexing is a technique used in CBIR.
Retrievability is a term associated with the ease with which information can be found or retrieved using an information system, specifically a search engine or information retrieval system.
Semantic Scholar is an artificial-intelligence backed search engine for academic publications developed at the Allen Institute for AI and publicly released in November 2015. It uses advances in natural language processing to provide summaries for scholarly papers. The Semantic Scholar team is actively researching the use of artificial-intelligence in natural language processing, machine learning, Human-Computer interaction, and information retrieval.
Mirella Lapata FRSE is a computer scientist and Professor in the School of Informatics at the University of Edinburgh. Working on the general problem of extracting semantic information from large bodies of text, Lapata develops computer algorithms and models in the field of natural language processing (NLP).
To commemorate the achievements of Karen Spärck Jones, the Karen Spärck Jones Award was created in 2008 by the British Computer Society (BCS) and its Information Retrieval Specialist Group, which is sponsored by Microsoft Research.
Christopher D Paice was one of the pioneers of research into stemming. The Paice-Husk stemmer was published in 1990 and his method of evaluation of stemmer performance by means of Error Rate with Respect to Truncation (ERRT) was the first direct method of comparing under-stemming and over-stemming errors. Apart from his pioneering work on stemming algorithms and evaluation methods he made other research contributions in the area of Information Retrieval, anaphora resolution and automatic abstracting.
References
- ↑ "BCS IRSG Informer". BCS. Retrieved 12 May 2022.
- ↑ "Search Solutions". BCS. Retrieved 12 May 2022.
- ↑ "BCS IRSG Committee membership". BCS. Retrieved 12 May 2022.
- ↑ Aldo Lipani (Spring 2016). "Conference Review:ECIR 2016". BCS IRSG Informer. Retrieved 20 May 2017.
- ↑ "CORE Conference Portal". Computing Research & Education. Retrieved 12 May 2022.