Language Computer Corporation
Language Computer Corporation is a research company that specializes in NLP systems.
- AKA: LCC.
- …
- Counter-Example(s):
- See: Natural Language Processing, Richardson, Texas, Texas, Question Answering, Information Extraction, Automatic Summarization, Lymba Corporation, Swingly, Extractiv, 80legs, XWN Knowledge Base, Dan I. Moldovan.
References
2014
- (Wikipedia, 2014) ⇒ http://en.wikipedia.org/wiki/Language_Computer_Corporation Retrieved:2014-11-19.
- Language Computer Corporation (LCC) is a natural language processing research company based in Richardson, Texas. The company develops a variety of natural language processing products, including software for question answering, information extraction, and automatic summarization. [1] Since its founding in 1995, the low-profile company has landed significant United States Government contracts, with $8,353,476 in contracts in 2006-2008. [2] While the company has focused primarily on the government software market, [3] LCC has also used its technology to spin off three start-up companies. The first spin off, known as Lymba Corporation, markets the PowerAnswer question answering product originally developed at LCC. [4] [5] In 2010, LCC's CEO, Andrew Hickl, co-founded two start-ups which made use of the company's technology. These included Swingly, an automatic question answering start-up, [6] and Extractiv, an information extraction service that was founded in partnership with Houston, Texas-based 80legs. [7]
- ↑ languagecomputer.com
- ↑ usaspending.gov Contracts to LANGUAGE COMPUTER CORPORATION. Accessed October 20, 2008.
- ↑ CNET.com
- ↑ Lymba Corporation
- ↑ Dale, Robert. (2008). “Industry Watch." Natural Language Engineering 14 (1): 141–144.
- ↑ mashable.com
- ↑ readwriteweb.com
2007
- (Prange, 2007) ⇒ John D. Prange. (2007). “Extracting Rich Knowledge from Text." at SICoP.
- The Knowledge Base: The generated KB has not only the hierarchy of WordNet, but also a rich semantic representation of each entry in the hierarchy (based on the definitional gloss)
- (Tatu and Moldovan, 2005) ⇒ Marta Tatu, and Dan Moldovan. (2005). “A semantic approach to recognizing textual entailment.” In: Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing.