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Federal Agency Name – Defense Advanced Research Projects Agency
(DARPA), Information Processing Techniques Office (IPTO)
Funding Opportunity Title – Machine Reading (MR)
Announcement Type – Initial Broad Agency Announcement (BAA)
Funding Opportunity Number – DARPA-BAA-09-03
Catalog of Federal Domestic Assistance Numbers (CFDA) – 12.910
Research and Technology Development
Key Dates
- Posting Date – see www.fbo.gov
- Proposal Due Date
- Initial Closing – 12:00 noon (ET), 30 December 2008
- Final Closing – 12:00 noon (ET), 13 November 2009
"Currently, nearly all successful AI systems succeed because they possess sufficient consistent, relevant knowledge about a problem domain. However, since large amounts of knowledge are almost always needed for this success, AI systems require this knowledge to be expressed in a logical formalism of some type.
Manually encoding such knowledge can become prohibitively expensive. Since text is, by far, the most flexible and ubiquitous medium used to capture knowledge about the diverse areas of human interest, it is natural to consider making it feasible for AI reasoning systems to employ this vast store of human knowledge. As AI systems currently cannot use such knowledge, it would be revolutionary if technology could be developed to bridge this gap.
The intent of the MRP described in this BAA is to enable just such a revolution. That is, the goal of the MRP is to create an automated Reading System that serves as a bridge between knowledge contained in natural texts and the formal reasoning systems that need such knowledge."
"These include books (fiction, nonfiction, technical), technical manuals, technical or other scholarly journals and their papers, magazines, and newspapers. In addition, corporations, governments, militaries, and other organizations have private documents such as memoranda and email messages."
"Other technologies, such as cell phones, have led to even more arcane documents and languages, such as the hyper-abbreviated lingo of instant messaging."
"... naturally occurring speech can be converted to text and has many analogs to written document forms. Formal speech can include lectures, newscasts, and oral 'articles'. Less formal speech is found in phone conversations, in-person conversations, multi-person teleconferences, voicemail messages, etc."
"Reading is inherently ambiguous at many linguistic and logical levels, while formal reasoning is not. Some important types of natural-language ambiguity are word sense, anaphora (e.g., pronoun reference), part of speech, parse structure, and conceptual mapping. Consider the following examples:
• An example of word-sense ambiguity is the sentence, 'You must adjust your attitude.' According to WordNet, 'attitude' can mean a mental state or the relative orientation of a craft. Understanding the broader context in which this sentence occurs is the only way to determine which sense is correct.
• Consider: 'Dave collided with Jim. He was unharmed. Jim, on the other hand, suffered a concussion.' The pronoun 'he' refers to Dave, but one can only conclude this after reading the final sentence.
• Still more challenging would be the sentences 'Mary replaced the silverware without thought.' versus 'Mary replaced the silverware without designs.' This is an example of parse-structure ambiguity. The two sentences appear very similar in structure, but 'without thought' is a mental state, which could only belong to Mary. Since it is unambiguous once the type of noun is considered, this is a wellformed sentence. On the other hand, 'without designs' is very likely a descriptive term that applies to the silverware. Although it could conceivably also refer to Mary, word placement would strongly argue for the former interpretation.
A good writer would move the phrase elsewhere if it were meant to refer to Mary.
• Consider a corpus of news releases that includes these two sentences: 'In the Saarland the governing CDU was able to remain in power, the SPD lost seven seats, while the Liberals and Greens were able to re-enter state parliament.'
'At the federal level, the Christian Democrats lost their dominance but remain part of the governing coalition.' Assuming that 'CDU' is not in the reader’s lexicon, there are a number of ways to determine its meaning. One is to search the corpus (or other corpora) for more occurrences of 'CDU' to see if it is explicitly defined somewhere. Barring that, one might be able to infer that 'CDU' is an
abbreviation for the Christian Democrat party by a deep conceptual understanding of each sentence, followed by a comparison.
• Human reading depends on making millions of 'immediate' and implicit inferences that are so automatic that they are unnoticed when made. Consider an example involving immediate inferences about what assertions remain true after new information is read. When presented with the sentences, 'Phil is broke. Phil is friends with Dominick. Phil is in his office. Phil is in Arlington.,' the reader would assume that Phil is still in his office (since being in Arlington is not inconsistent with being in an office).
Subsequently reading the sentences, 'Phil is now rich. Phil is friends with Ray. Phil is in the conference room creating a document.,' creates new default expectations that Phil is no longer broke; Phil is still friends with Dominick; and Phil is no longer in his office. Because these immediate inferences are implicitly assumed in natural texts and required to be explicit in formal reasoning, a full bridging solution will have some practical approach for addressing this disparity.
The classes of incompatibilities described above are clearly central to using machine reading (MR) of natural texts to drive formal reasoning tasks, but they are by no means exhaustive."
"The overarching benefit of a successful Machine Reading Program will be enabling all knowledge encoded as natural text to be combined with the power of AI reasoning methodologies, which will unleash a wide variety of new AI applications ranging from intelligent bots to personal tutors.
For example, all of the text in the World Wide Web will become available for automating the monitoring and analysis of technological and political activities of nations; plans, rhetoric, and activities of transnational organizations; and scientific discovery within various disciplines."
We are definitely a pre-AI/pre-warp civilization. And both, in my opinion, are only a mere 2 decades away.download/144358725/3ce8285f4f7d38b192f8f8c051ff52dd3d4005e6.torrent
Originally posted by loner007
This is not AI or even close to it. ITs a program set with varibles and algorithims to collect sort and store data. Avery advanced program i grant u but its Not AI
When we build a working quantum computer then it will be possible to create an AI imo. However if we are just using claasical computers then any claimed AI will be just an advanced computer program
Originally posted by SevenThunders
We actually don't have the hardware yet ...
I have little confidence in what is arguably 40 years of failure in AI research.
Originally posted by tauristercus
Originally posted by SevenThunders
We actually don't have the hardware yet ...
I have little confidence in what is arguably 40 years of failure in AI research.
I'm surprised that no one (except vitaeternus) appears to have taken the time to read or even glance thru the DARPA proposal.
If they had, you'd realize, based on the specifications, that it would appear that the necessary hardware/software either already exists or is on the verge of being created ... otherwise this DARPA project would NOT exist. The fact that they are prepared to pay substantial sums of money implies that they have a strong belief that the project and it's goals are achievable.
As mentioned in the proposal numerous times, this system would be a "revolutionary" step forward in AI.
Originally posted by Solomons
I have always thought AI is quite easily achievable once the foundation is in place( and we figure it out) ... I think future AI will be the same, it will be a blank slate and learn as it goes...
Originally posted by JohnPhoenix
Interesting. So they want to create Big Brother. Time to start using encryption and cipher those encryptions then encrypt that again.
An AI that works.. wonderful.. An AI that can reason that is in charge of reading all our private stuff = EVIL. I say we nuke DARPA before this gets out of hand.