Source code to repeat the paper evaluation: We present the first unsupervised approach to the problem of learning a semantic parser, using Markov logic. Our USP system transforms dependency trees into quasi-logical forms, recursively induces lambda forms from these, and clusters them to abstract away syntactic variations of the same meaning. The MAP semantic parse of a sentence is obtained by recursively assigning its parts to lambda-form clusters and composing them. We evaluate our approach by using it to extract a knowledge base from biomedical abstracts and answer questions. USP substantially outperforms TextRunner, DIRT and an informed baseline on both precision and recall on this task.
This is the project page for SecondString, an open-source Java-based package of approximate string-matching techniques. This code was developed by researchers at Carnegie Mellon University from the Center for Automated Learning and Discovery, the Department of Statistics, and the Center for Computer and Communications Security.
This is an overview of the open source NLP and machine learning tools for text mining, information extraction, text classification, clustering, approximate string matching, language parsing and tagging, and more.
OpenNLP is an organizational center for open source projects related to natural language processing. It hosts a variety of java-based NLP tools which perform sentence detection, tokenization, pos-tagging, chunking and parsing, named-entity detection, and coreference using the OpenNLP Maxent machine learning package.
ASV Toolbox is a modular collection of tools for the exploration of written language data. They work either on word lists or text and solve several linguistic classification and clustering tasks. The topics covered contain language detection, POS-tagging, base form reduction, named entity recognition, and terminology extraction.
TIGER API is a library which allows Java programmers to easily access the structure of any corpus given as a TIGER-XML file. It can process the TIGER corpus and any other corpus encoded in TIGER-XML. The underlying API specifies a Java object model for corpora encoded in TIGER-XML and provides methods for traversing syntax trees and accessing elements such as sentences, syntax graph nodes, and their attributes.
Alle Programme und Resourcen auf der Liste sind frei, d.h. kostenlos (für Forschungszwecke) verfügbar, auf deutschsprachige Texte anwendbar und sofort startklar, d.h. sie müssen nicht erst mit Hilfe von z.B. annotierten Korpora trainiert werden. Die Liste ist natürlich unvollständig (Stand 22.5.2007).