Information retrieval is an important application area of natural-language processing where one encounters the genuine challenge of processing large quantities of unrestricted nat...
In microblogging services such as Twitter, the users may become overwhelmed by the raw data. One solution to this problem is the classification of short text messages. As short te...
Bharath Sriram, Dave Fuhry, Engin Demir, Hakan Fer...
Chemical named entities represent an important facet of biomedical text. We have developed a system to use character-based ngrams, Maximum Entropy Markov Models and rescoring to r...
Text extraction from a web image is important for web indexing because the text can contain a key information of the web. This paper presents a method to detect a text with variou...
We investigate the novel problem of event recognition from news webpages. "Events" are basic text units containing news elements. We observe that a news article is always...