Extracting information from web documents has become a research area in which new
proposals sprout out year after year. This has motivated several researchers to work on …

To answer questions from clinical-evidence texts, we identify occurrences of the semantic
classes—disease, medication, patient outcome—that are candidate elements of the answer …

This paper investigates the use of commonsense reasoning to understand texts involving
stereotypical activities or scripts. We present a system that understands news stories …

Background: Cindy and Kathleen want to find out how quickly fly maggots use oxygen in
comparison with woodlice. The students were given a chart and a table representing the …

Abstract Information Extraction (IE) systems often use patterns to identify relevant information
in text but these are difficult and time-consuming to generate manually. This paper presents …

We survey the evaluation methodology adopted in Information Extraction (IE), as defined in
the MUC conferences and in later independent efforts applying machine learning to IE. We …

The task of question answering (QA) is to find the accurate and precise answer to a natural
language question in some predefined text. Most existing QA systems handle fact-based …

This paper presents a versatile system intended to acquire paraphrastic phrases from a
small-size representative corpus. In order to decrease the time spent on the elaboration of …

Abstract The Semantic Web will require semantic representations of information that
computers can understand when they process business applications. Most Web content is …

Abstract Information Extraction (IE) can be defined as the task of automatically extracting
preespecified kind of information from a text document. The extracted information is encoded …