Papers Table Search
“Table Search” 태그가 달린 논문 15편 · 필터 해제
Pneuma: Leveraging LLMs for Tabular Data Representation and Retrieval in an End-to-End System
Finding relevant tables among databases, lakes, and repositories is the first step in extracting value from data. Such a task remains difficult because assessing whether a table is relevant to a problem does not always d…
Information RetrievalRAGRetrievalRetrieval-augmented Generation+2LEDD: Large Language Model-Empowered Data Discovery in Data Lakes
Data discovery in data lakes with ever increasing datasets has long been recognized as a big challenge in the realm of data management, especially for semantic search of and hierarchical global catalog generation of tabl…
Language ModelingLanguage ModellingLarge Language ModelManagement+3TabSketchFM: Sketch-based Tabular Representation Learning for Data Discovery over Data Lakes
Enterprises have a growing need to identify relevant tables in data lakes; e.g. tables that are unionable, joinable, or subsets of each other. Tabular neural models can be helpful for such data discovery tasks. In this p…
Representation LearningTable SearchToward Conversational Agents with Context and Time Sensitive Long-term Memory
There has recently been growing interest in conversational agents with long-term memory which has led to the rapid development of language models that use retrieval-augmented generation (RAG). Until recently, most work o…
FormInformation RetrievalRAGRetrieval+2From Specific to Generic Learned Sorted Set Dictionaries: A Theoretically Sound Paradigm Yelding Competitive Data Structural Boosters in Practice
This research concerns Learned Data Structures, a recent area that has emerged at the crossroad of Machine Learning and Classic Data Structures. It is methodologically important and with a high practical impact. We focus…
Table SearchGenerative Benchmark Creation for Table Union Search
Data management has traditionally relied on synthetic data generators to generate structured benchmarks, like the TPC suite, where we can control important parameters like data size and its distribution precisely. These …
ManagementTable SearchStruBERT: Structure-aware BERT for Table Search and Matching
A large amount of information is stored in data tables. Users can search for data tables using a keyword-based query. A table is composed primarily of data values that are organized in rows and columns providing implicit…
RetrievalTable RetrievalTable SearchTable Pre-training: A Survey on Model Architectures, Pre-training Objectives, and Downstream Tasks
Since a vast number of tables can be easily collected from web pages, spreadsheets, PDFs, and various other document types, a flurry of table pre-training frameworks have been proposed following the success of text and i…
DenoisingQuestion AnsweringRelation ClassificationTable SearchLearned Sorted Table Search and Static Indexes in Small Model Space
Machine Learning Techniques, properly combined with Data Structures, have resulted in Learned Static Indexes, innovative and powerful tools that speed-up Binary Search, with the use of additional space with respect to th…
BenchmarkingOpen-Ended Question AnsweringTable SearchRetrieving Complex Tables with Multi-Granular Graph Representation Learning
The task of natural language table retrieval (NLTR) seeks to retrieve semantically relevant tables based on natural language queries. Existing learning systems for this task often treat tables as plain text based on the …
Graph Representation LearningNatural Language QueriesRepresentation LearningRetrieval+2Learning from Data to Speed-up Sorted Table Search Procedures: Methodology and Practical Guidelines
Sorted Table Search Procedures are the quintessential query-answering tool, with widespread usage that now includes also Web Applications, e.g, Search Engines (Google Chrome) and ad Bidding Systems (AppNexus). Speeding t…
CPUGPUTable SearchTable Search Using a Deep Contextualized Language Model
Pretrained contextualized language models such as BERT have achieved impressive results on various natural language processing benchmarks. Benefiting from multiple pretraining tasks and large scale training corpora, pret…
Language ModelingLanguage ModellingRetrievalTable Retrieval+1Web Table Extraction, Retrieval and Augmentation: A Survey
Tables are a powerful and popular tool for organizing and manipulating data. A vast number of tables can be found on the Web, which represents a valuable knowledge resource. The objective of this survey is to synthesize …
Question AnsweringRetrievalSurveyTable Extraction+1Query-Adaptive Hash Code Ranking for Large-Scale Multi-View Visual Search
Hash based nearest neighbor search has become attractive in many applications. However, the quantization in hashing usually degenerates the discriminative power when using Hamming distance ranking. Besides, for large-sca…
Image RetrievalQuantizationTable SearchScientific Table Search Using Keyword Queries
Tables are common and important in scientific documents, yet most text-based document search systems do not capture structures and semantics specific to tables. How to bridge different types of mismatch between keywords …
Table Search