Nothing Special   »   [go: up one dir, main page]

ter Hoeve et al., 2020 - Google Patents

Conversations with documents: An exploration of document-centered assistance

ter Hoeve et al., 2020

View PDF
Document ID
15378488333395725415
Author
ter Hoeve M
Sim R
Nouri E
Fourney A
de Rijke M
White R
Publication year
Publication venue
Proceedings of the 2020 conference on human information interaction and retrieval

External Links

Snippet

The role of conversational assistants has become more prevalent in helping people increase their productivity. Document-centered assistance, for example to help an individual quickly review a document, has seen less significant progress, even though it has the …
Continue reading at arxiv.org (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30634—Querying
    • G06F17/30657—Query processing
    • G06F17/30675—Query execution
    • G06F17/30684—Query execution using natural language analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30861—Retrieval from the Internet, e.g. browsers
    • G06F17/30864—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
    • G06F17/30867—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30634—Querying
    • G06F17/30637—Query formulation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/20—Handling natural language data
    • G06F17/27—Automatic analysis, e.g. parsing
    • G06F17/2765—Recognition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G06F17/30386—Retrieval requests
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/20—Handling natural language data
    • G06F17/27—Automatic analysis, e.g. parsing
    • G06F17/2785—Semantic analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30943—Information retrieval; Database structures therefor; File system structures therefor details of database functions independent of the retrieved data type
    • G06F17/30964—Querying
    • G06F17/30967—Query formulation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/10—Office automation, e.g. computer aided management of electronic mail or groupware; Time management, e.g. calendars, reminders, meetings or time accounting
    • G06Q10/105—Human resources
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computer systems utilising knowledge based models
    • G06N5/02—Knowledge representation
    • G06N5/022—Knowledge engineering, knowledge acquisition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS

Similar Documents

Publication Publication Date Title
ter Hoeve et al. Conversations with documents: An exploration of document-centered assistance
Feng et al. doc2dial: A goal-oriented document-grounded dialogue dataset
CN110692050B (en) Adaptive evaluation of primitive relationships in semantic graphs
CN112417090B (en) Using uncommitted user input data to improve task performance
Imtiaz et al. Sentiment and politeness analysis tools on developer discussions are unreliable, but so are people
US8370129B2 (en) System and methods for quantitative assessment of information in natural language contents
Arendarenko et al. Ontology-based information and event extraction for business intelligence
CN114341865B (en) Progressive Juxtaposition for Live Talk
Cagliero et al. ELSA: A multilingual document summarization algorithm based on frequent itemsets and latent semantic analysis
US9411878B2 (en) NLP duration and duration range comparison methodology using similarity weighting
WO2016003954A1 (en) Constructing a graph that facilitates provision of exploratory suggestions
US11074413B2 (en) Context-sensitive salient keyword unit surfacing for multi-language survey comments
EP3855320A1 (en) Systems and methods for adaptive question answering related applications
Alexander et al. ORCAS-I: queries annotated with intent using weak supervision
Majdik et al. Building better machine learning models for rhetorical analyses: the use of rhetorical feature sets for training artificial neural network models
Breja et al. A survey on non-factoid question answering systems
RU2563148C2 (en) System and method for semantic search
Mittal et al. An ontology based dialog interface to database
Chakraborty et al. A comprehensive survey of personal knowledge graphs
Xu et al. Measuring semantic relatedness between flickr images: from a social tag based view
Štajner et al. A service oriented framework for natural language text enrichment
US20240095445A1 (en) Systems and methods for language modeling with textual clincal data
Dahl Natural language understanding with Python: Combine natural language technology, deep learning, and large language models to create human-like language comprehension in computer systems
ter Hoeve et al. Conversations with Documents
Huetle-Figueroa et al. Measuring semantic similarity of documents with weighted cosine and fuzzy logic