Supporting Conference Program Production Using Natural Language Processing Technologies.

Supporting Annotation Layers for Natural Language Processing

We demonstrate a system for flexible querying against text that has been annotated with the results of NLP processing. The system supports self-overlapping and parallel layers, integration of syntactic and ontological hierarchies, flexibility in the format of returned results, and tight integration with SQL. We present a query language and its use on examples taken from the NLP literature.

Natural Language Processing Technologies for Document Profiling

Nowadays, search for documents on the Internet is becoming increasingly difficult. The reason is the amount of content published by users (articles, comments, blogs, reviews). How to facilitate that the users can find their required documents? What would be necessary to provide useful document meta-data for supporting search engines? In this article, we present a study of some Natural Language ...

Connectionist Models for Natural Language Processing Program

The scientific adequacy of models based on a small number of coarse-grained primitives (e.g. conceptual dependency), popular in AI during the 70's, has been called into question and substantially replaced by a current emphasis in much of computational linguistics on lexicalist models (i.e., ones which use words for representing concepts or meanings). However, few people can doubt that words are...

HLT / EMNLP 2005 Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing

ICON - 2008 6 th International Conference on Natural Language Processing

In this paper we describe our progress towards building an interlingua based machine translation system, by capturing the semantics of the source language sentences in the form of Universal Networking Language (UNL) graphs from which the target language sentences can be produced. There are two stages to the UNL graph generation: first, the conceptual arguments of a situation are identified in t...