Hello, I am one of the founders of CEPT Systems and lead researcher of our retina algorithm.
We have developed a method to represent words by a bitmap pattern capturing most of its "lexical semantics". (A text sensor) Our word-SDRs fulfill all the requirements for "good" HTM input data. - Words with similar meaning "look" similar - If you drop random bits in the representation the semantics remain intact - Only a small number (up to 5%) of bits are set in a word-SDR - Every bit in the representation corresponds to a specific semantic feature of the language used - The Retina (sensory organ for a HTM) can be trained on any language - The retina training process is fully unsupervised. We have found out that the word-SDR by itself (without using any HTM yet) can improve many NLP problems that are only poorly solved using the traditional statistic approaches. We use the SDRs to: - Create fingerprints of text documents which allows us to compare them for semantic similarity using simple (euclidian) similarity measures - We can automatically detect polysemy and disambiguate multiple meanings. - We can characterize any text with context terms for automatic search-engine query-expansion … We hope to successfully link-up our Retina to an HTM network to go beyond lexical semantics into the field of "grammatical semantics". This would hopefully lead to improved abstracting-, conversation-, question answering- and translation- systems…. Our correct web address is www.cept.at (no kangaroos in Vienna ;-) I am interested in any form of cooperation to apply HTM technology to text. Francisco On 21.08.2013, at 20:16, Christian Cleber Masdeval Braz wrote: > > Hello. > > As many of you here i am prety new in HTM technology. > > I am a researcher in Brazil and I am going to start my Phd program soon. My > field of interest is NLP and the extraction of knowledge from text. I am > thinking to use the ideas behind the Memory Prediction Framework to > investigate semantic information retrieval from the Web, and answer questions > in natural language. I intend to use the HTM implementation as base to do > this. > > I apreciate a lot if someone could answer some questions: > > - Are there some researches related to HTM and NLP? Could indicate them? > > - Is HTM proper to address this problem? Could it learn, without > supervision, the grammar of a language or just help in some aspects as Named > Entity Recognition? > > > > Regards, > > Christian > > > _______________________________________________ > nupic mailing list > [email protected] > http://lists.numenta.org/mailman/listinfo/nupic_lists.numenta.org _______________________________________________ nupic mailing list [email protected] http://lists.numenta.org/mailman/listinfo/nupic_lists.numenta.org
