Quester
R&D and Products in the area of Information Extraction & Retrieval Quester: Natural based Information Extraction and Language Processing Retrieval System
In order to improve search result precision through semantic search, C-DAC has put its efforts in developing the Quester technology, a NLP based Information Retrieval System capable of retrieving information based on a combination of keyword and conceptual matching which uses domain defined Ontology. It is a knowledge based Information Retrieval (IR) system with the following features:
- NLP based Query Processing using
- Syntactic Parsing
- Semantic Roles using Semantic Representations
- Semantic-net and Knowledge-net for establishing information relation
- Anaphora Resolution/ Co-referencing to link the pertinent portions of discourse with references for meaning coherence.
- Text Processing & Tagging based on
- Syntactic Parsing
- Semantic Role Labeling
- Named Entity Recognition
- Anaphora Resolution /Co-referencing
- Retrieval of query results through NLP based Retrieval Engine
- Ranking/Sorting of retrieved results according to semantic relevancy in accordance to query
- Churning out sentential level or paragraph level retrieval of information
Contact Us
Centre for Development of Advanced Computing
Applied AI Group, 4th Floor,
C-DAC Innovation Park,
Panchavati, Pashan,
Pune - 411 008.
Phone No.: (020) 25503314 / 15
Email: info.aai@cdac.in
- Cross Lingual Information Extraction & Retrieval
- Quester
- Cross Language Information Retrieval
- DMS along with Enterprise Search
- SARANSHAK- the Semantic Multi-Document Summarizer
- Audio-Video Search
- Question-Answering (Q-A) System
- Social Sentiment Analysis
- Language Tools
- Initiative using CLIE & R technologies