NLP 4 ITA 2013 Proceedings of the Second Workshop of Natural Language Processing for Improving Textual

Natural Language Processing for Improving Textual Accessibility ( NLP 4 ITA ) Workshop Programme

Analysis of long sentences are source of problems in advanced applications such as machine translation. With the aim of solving these problems in advanced applications, we have analysed long sentences of two corpora written in Standard Basque in order to make syntactic simplification. The result of this analysis leads us to design a proposal to produce shorter sentences out of long ones. In ord...

Entailment Analysis for Improving Chinese Recognizing Textual Entailment System

Recognizing Textual Entailment (RTE) is a new research issue in natural language processing (NLP) research area. RTE can be a useful component in many NLP applications. In this paper, we introduce our finding on the entailment analysis of the NTCIR-10 RITE-2 dataset, and use the observation to improve our system. In the previous works, all the input pairs are treated equally in a standard class...

Proceedings of the Eighth Workshop on Innovative Use of NLP for Building Educational Applications, BEA@NAACL-HLT 2013, June 13, 2013, Atlanta, Georgia, USA

A New Method for Improving Computational Cost of Open Information Extraction Systems Using Log-Linear Model

Information extraction (IE) is a process of automatically providing a structured representation from an unstructured or semi-structured text. It is a long-standing challenge in natural language processing (NLP) which has been intensified by the increased volume of information and heterogeneity, and non-structured form of it. One of the core information extraction tasks is relation extraction wh...

Second i2b2 workshop on natural language processing challenges for clinical records.

The second i2b2 workshop on Natural Language Processing (NLP) for clinical records presents a shared-task and challenge on the automated extraction of obesity information from narrative patient records. The goal of the obesity challenge is to continue i2b2's effort to open patient records to studies by the NLP and Medical Informatics communities for the advancement of the state of the art in me...