D. E. Rose and R. K. Belew. Legal information retrieval a hybrid approach. In Proceedings of the second international conference on Artificial intelligence and law, pages 138--146. ACM Press, 1989.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....inverted files of their terms and limiting inference to what Information Retrieval techniques can produce. Choueka et al. 5] is an early example; the practice is by now, of course, ubiquitous. Closely related is conceptual information retreival, e.g. 9] as well as hybrid approaches, e.g. [38], that rely upon a modest amount of (usually) manual structuring. Information extraction techniques [4] have also been applied successfully in the legal domain [14, 27] 3. Automatically structure a relevant corpus. Under this approach, pattern finding programs extract structure from documents in ....

D. E. Rose and R. K. Belew. Legal information retrieval a hybrid approach. In Proceedings of the second international conference on Artificial intelligence and law, pages 138--146. ACM Press, 1989.

....within the restrictions imposed by real time problems. Because the system has the ability to plan ahead and learn, it has a higher probability of success than conventional approaches. In addition, it has the ability to self improve in the event of a performance failure. 0 Refs. Reference: RB89] Title: Legal information retrieval: a hybrid approach Authors: Rose, D.E. Belew, R.K. Abstract: SCALIR is a legal information retrieval system which uses a combination of symbolic and connectionist artificial intelligence techniques. Traditional systems used for automating legal research ....

R. D. E. Rose and R. K. Belew. Legal information retrieval: a hybrid approach. In Proceedings of the Second International Conference on Artificial Intelligence and Law., pages 138--46. Univ. British Columbia, ACM New York, NY, USA, 1989.

..... LinkedList . Collection . Integer . KeySortCltn . OrderedCltn. SeqCltn . Float . IdentDict . SortedCltn . Stack . Arraychar . Set . Heap . Arrayob . String . IdentSet . Bag . Bitset Vector . Range . Regex Figure 6: A 10 Theta 10 self organizing map line of research is continued in [47, 46]. Comparable work is described in [20, 54] Another approach relying on feedforward networks is reported in [9] In this paper the author describes an experiment where the weights of the neural networks are computed by using a supervised learning strategy rather than set directly using the term ....

D. E. Rose and R. K. Belew. Legal information retrieval: A hybrid approach. In Proc of the Int'l Conference on Artificial Intelligence and Law (ICAIL'89), Vancouver, Canada, 1989.

....(AI) Probably a divide and conquer approach stands the best chance of ultimately being successful with the disparate systems later fused into a homogeneous system with the desired characteristics. On the basic question of intelligence it should be pointed out that some authors, notably (Penrose 1989) and (Searle 1980) see also (Searle 1987) maintain that the goal of AI is illusory because achieving AI is inherently impossible. The reasons given are based on the inherent un computability of certain mathematical concepts, which is held as being a key problem preventing the creation of ....

....avoids the system remaining in, resource wasting, loops. This facility is also useful for redirecting the CHAPTER 4. SURVEY AND ANALYSIS OF RECENT HYBRID RESEARCH 101 systems focus of attention if some important event occurs that requires immediate attention. The final two papers in this section (Rose Belew 1989) and its subsequent follow on (Rose Belew 1991) examine the use of neural network technology for storing legal information in a structured way. This allows both for the efficient storage of the data and the provision of techniques for searching the data which are substantially more powerful than ....

Rose, R. D. E. & Belew, R. K. (1989), Legal information retrieval: a hybrid approach, in `Proceedings of the Second International Conference on Artificial Intelligence and Law.', Univ. British Columbia, ACM New York, NY, USA, pp. 138--46.

....ilo tu gc pii gc iii gc ii(7) hague 4 hague 5 space re enmod space li . cult pro . nature40 hague 13 hague 7(12) moon2 con weap fauna33 valletta a herita alpen k hague 8 hague 9 hague 6 UM VN SR MR DK UM AW GR WR HR AE UR Figure 1: Self organizing map of public international law treaties queries [1, 24, 23]. Third, concept or document spaces are described by neural networks adhering to the unsupervised learning paradigm. The paper of [12] marks the first attempt to utilize self organizing maps for information retrieval. Similar to our approach, the authors rely on self organizing maps. In this ....

D. E. Rose and R. K. Belew. Legal information retrieval: A hybrid approach. In Int. Conference on Artificial Intelligence and Law, 1989.

.... vague concepts according to some predefined input outputmapping [Bench Capon93, Groendijk92, Opdorp91, Philipps89] Second, neural networks are used to perform a spreadingactivation during retrieval as another paradigm to describe the relation between terms and documents or queries [Belew87, Rose89, Rose94] Comparable work concerning general purpose information retrieval is described in [Wilkinson91, Keane96] Third, concept or document spaces are described by neural networks adhering to the unsupervised learning paradigm. The paper of [Lin91] marks the first attempt to utilise ....

: D. E. Rose and R. K. Belew, Legal Information Retrieval: A Hybrid Approach, Proc. of the Int. Conference on Artificial Intelligence and Law, 1989

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Rose, D. E. and Belew, R. K. (1989). Legal Information Retrieval: A Hybrid Approach. In International Conference on AI and Law, pages 138--146, Vancouver, B.C. ACM.

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ROSE, D.E./BELEW, R.K. (1989): Legal Information Retrieval: A Hybrid Approach. In: Proc. Int. Conf.

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