The Semantic Reader Project: Augmenting Scholarly Documents through AI-Powered Interactive Reading Interfaces.
Kyle LoJoseph Chee ChangAndrew HeadJonathan BraggAmy X. ZhangCassidy TrierChloe AnastasiadesTal AugustRussell AuthurDanielle BraggErin BransomIsabel CacholaStefan CandraYoganand ChandrasekharYen-Sung ChenEvie Yu-Yen ChengYvonne ChouDoug DowneyRob EvansRaymond FokFangzhou HuRegan HuffDongyeop KangTae Soo KimRodney KinneyAniket KitturHyeonsu B. KangEgor KlevakBailey KuehlMichael LanganMatt LatzkeJaron LochnerKelsey MacMillanEric MarshTyler MurrayAakanksha NaikNgoc-Uyen NguyenSrishti PalaniSoya ParkCaroline PaulicNapol RachatasumritSmita RaoPaul SayreZejiang ShenPao SiangliulueLuca SoldainiHuy TranMadeleine van ZuylenLucy Lu WangChris WilhelmCaroline WuJiangjiang YangAngele ZamarronMarti A. HearstDaniel S. WeldPublished in: CoRR (2023)
Keyphrases
- semantic relationships
- semantic information
- semantically related
- linguistic analysis
- document collections
- semantic relevance
- document content
- artificial intelligence
- unstructured documents
- web documents
- semantic content
- visual interfaces
- information retrieval
- information retrieval systems
- semantic representation
- case study
- expert systems
- semantic classes
- web environment
- project management
- document retrieval
- semantic similarity
- natural language text
- vector space model
- web information
- related concepts
- semantic structure
- keywords
- digital libraries
- virtual reality
- sentence similarity
- natural interaction
- document space
- document classification
- semantic network
- xml documents
- word pairs
- knowledge representation
- metadata
- interactive retrieval
- search interface
- document centric
- exploratory search
- web interface
- concept space
- natural language
- latent semantic analysis
- relevant documents
- user interaction
- visual features
- software development
- interface design
- natural language processing
- document representation
- domain specific