This paper describes a system for extracting typed dependency parses of English sentences
from phrase structure parses. In order to capture inherent relations occurring in corpus texts …

In the last few years, a number of NLP researchers have developed and participated in the
task of Recognizing Textual Entailment (RTE). This task encapsulates Natural Language …

Recent work in computational linguistics points out the need for systems to be sensitive to
the veracity or factuality of events as mentioned in text; that is, to recognize whether events …

We describe tree edit models for representing sequences of tree transformations involving
complex reordering phenomena and demonstrate that they offer a simple, intuitive, and …

We propose an approach to natural language inference based on a model of natural logic,
which identifies valid inferences by their lexical and syntactic features, without full semantic …

This paper presents the first use of a computational model of natural logic—a system of
logical inference which operates over natural language—for textual inference. Most current …

Text mining | Annual Review of Information Science and Technology skip to main content ACM
Digital Library home ACM home Google, Inc. (search) Advanced Search Browse About Sign in …

Traditionally, most research in NLP has focused on propositional aspects of meaning. To
truly understand language, however, extra-propositional aspects are equally important …

A range of Natural Language Processing tasks involve making judgments about the
semantic relatedness of a pair of sentences, such as Recognizing Textual Entailment (RTE) …

Event factuality is the level of information expressing the factual status of eventualities
mentioned in text. That is, it conveys whether eventualities are characterized as …