Automatic question answering is a widely studied problem in natural language processing with applications including entity extraction and information retrieval. Most of the existing works in this area tackles a restricted problem of factoid question answering, while others use answer sentence selection. As of now not much work has been done on text-based question answering, where sufficiently long answers are generated corresponding to each question. Continue reading →

This article is a successor to the previous post Simple Markov Model for correcting Transliterated Queries. The key feature of the introduced model are:

• Can be retrained on a new dataset of well spelled queries in mixed languages such as Hindi-English, English-French, Hindi-Bengali, etc.
• No need of an annotated dataset, only need well spelled queries.
• Can be trained on smaller dataset – ~10K queries, giving reasonable performance.
• A trained model on English corpus is provided, queries are taken from Yahoo webscope – 150K questions. Continue reading →

Point of Interests(POI) can be defined as an attractive location or an item which someone may find useful of some particular interest. A brief description related to check-in based POI can be found in Joint Modeling of User Check-in Behaviors for Real-time Point-of-Interest Recommendation.

Point-of-interest recommendations in location-based social networks

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