Progress in Information Extraction

Structural Linguistics and Unsupervised Information Extraction

A precondition for extracting information from large text corpora is discovering the information structures underlying the text. Progress in this direction is being made in the form of unsupervised information extraction (IE). We describe recent work in unsupervised relation extraction and compare its goals to those of grammar discovery for science sublanguages. We consider what this work on gr...

Information Extraction Research and Applications: Current Progress and Future Directions

Presenting a method for extracting structured domain-dependent information from Farsi Web pages

Extracting structured information about entities from web texts is an important task in web mining, natural language processing, and information extraction. Information extraction is useful in many applications including search engines, question-answering systems, recommender systems, machine translation, etc. An information extraction system aims to identify the entities from the text and extr...

Web Information Extraction and User Modeling: Towards Closing the Gap

Web search engines have become the primary method of accessing information on the web. Billions of queries are submitted to major web search engines, reflecting a wide range of information needs. While significant progress has been made on improving the relevance of the results, web search process often remains a frustrating experience. At the same time, web information extraction has seen trem...

Butea frondosa flower dye extraction optimization through Taguchi design

In the past few decades, there is increasing trend to use products from natural resources. Dyes obtained from natural sources are among such products. The present research mainly focuses on optimization of extraction conditions during a natural dye extraction from the flower petals of a tree ‘Flame of Forest’. Taguchi technique was employed for optimization of the parameters namely raw dyestuff...

Invited Talk: Generic NLP Technologies: Language, Knowledge and Information Extraction

We have witnessed signi cant progress in NLP applications such as information extraction (IE), summarization, machine translation, cross-lingual information retrieval (CLIR), etc. The progress will be accelerated by advances in speech technology, which not only enables us to interact with systems via speech but also to store and retrieve texts input via speech. The progress of NLP applications ...