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Table 6. Interesting relations and entities for each topic
"... In PAGE 6: ...) or by complex noun phrases (e.g. motif Y-containing protein X), which occur quite often in our corpora. Table6 shows extracted relations that were judged interest- ing by the users. We found that the is_a relation was extracted across different topics, although this relation comprised arguments with different semantic information.... In PAGE 6: ..., 2003), and found some new relations such as lack and share. Table6 shows interesting entities other than proteins used as arguments of selected relations. Finally, Table 7 shows how the same protein can be annotated in terms of different topics.... ..."
Table 1. Operational semantics.
1997
"... In PAGE 10: ... Thus, if we add a restriction on actor b, the action bv can not be observed and the term: B0 = (aForward j bDouble)nb can be considered equivalent to A. Note that we abstract away from details of internal communication: the synchronization of actor b, which receives a message from actor a, is an internal action labelled (rule Sinc in Table1 ) which is not observable (hence it does not have any effects on bisimulation). Example 3.... In PAGE 10: ... Consider the actor term A1 = aSums (where s is an integer), which receives messages represented as pairs (b; v), where the first argument is an actor name and the second argument is an integer, updates the state to s + v and sends b the integer s v. This behaviour is defined formally below: Sum def= send(1st(message); 2nd(message) + state); become(Sum; 2nd(message) + state) The evolution of the state is modelled by the rule Become in Table1 : a become operation updates the state of the actor, but the new state can be accessed only after the next receive operation. Suppose now that we want to compose this actor with the interface actor defined in the previous exam- ple: we define the actor term: B1 = aForward j bSums.... In PAGE 14: ...ranslation (rules 2.5, 3.5) a new channel for the restricted name is created. It is interesting to note that the creation of the channel by means of a create primitive ensures the creation of a new restricted name for it (see rule Create in Table1 ). Each process a(b):P starting with an input action is mapped into a new idle actor and a request message addressed to the channel a (rules 2.... ..."
Cited by 15
Table 1. Operational semantics.
1997
"... In PAGE 10: ... Thus, if we add a restriction on actor b, the action bv can not be observed and the term: B0 = (aForward j bDouble)nb can be considered equivalent to A. Note that we abstract away from details of internal communication: the synchronization of actor b, which receives a message from actor a, is an internal action labelled (rule Sinc in Table1 ) which is not observable (hence it does not have any effects on bisimulation). Example 3.... In PAGE 10: ... Consider the actor term A1 = aSums (where s is an integer), which receives messages represented as pairs (b; v), where the first argument is an actor name and the second argument is an integer, updates the state to s + v and sends b the integer s v. This behaviour is defined formally below: Sum def= send(1st(message); 2nd(message) + state); become(Sum; 2nd(message) + state) The evolution of the state is modelled by the rule Become in Table1 : a become operation updates the state of the actor, but the new state can be accessed only after the next receive operation. Suppose now that we want to compose this actor with the interface actor defined in the previous exam- ple: we define the actor term: B1 = aForward j bSums.... In PAGE 14: ...ranslation (rules 2.5, 3.5) a new channel for the restricted name is created. It is interesting to note that the creation of the channel by means of a create primitive ensures the creation of a new restricted name for it (see rule Create in Table1 ). Each process a(b):P starting with an input action is mapped into a new idle actor and a request message addressed to the channel a (rules 2.... ..."
Cited by 15
Table 2. fruit related tags that could not be connected semantically
2007
"... In PAGE 9: ... 3. Fruit in the Semantic Web The tags that could not be connected to Fruit fall into five categories (see Table2 ), two of which are related to colors and photo jargons, as discussed before. A new set of interesting tags describes attributes generally related to fruits: {juicy, yummy, delicious, fresh, sweet}.... ..."
Cited by 4
Table 2. fruit related tags that could not be connected semantically
2007
"... In PAGE 9: ... 4. Fruit in the Semantic Web The tags that could not be connected to Fruit fall into five categories (see Table2 ), two of which are related to colors and photo jargons, as discussed be- fore. A new set of interesting tags describes attributes generally related to fruits: {juicy, yummy, delicious, fresh, sweet}.... ..."
Cited by 4
Table 5: New semantics for CN and CM.
in Edited by
2003
"... In PAGE 26: ... Consequently, the state D7BC should satisfy the formula. Table5 shows the new definition of the semantics of the operators CN and CM. Functions CABD and CABE are defined in Table 6.... In PAGE 93: ... A symbolic configuration, written CWARBN BTCXCB, is a pair composed by a symbolic trace AR and an agent BT, such that CTD2B4BTB5 BP BN and DAB4BTB5 AI DAB4ARB5. The symbolic semantics is based on a symbolic transition relation A0AXCB , defined in Table5 . There, a function D2CTDBCEB4A1B5 is assumed such that, for any given CE AIfin CE, D2CTDBCEB4CE B5 is a variable not in CE .... In PAGE 94: ... In the above rules it is assumed that: (i) DC BP D2CTDBCEB4CE B5, being CE the set of free variables in the source configuration; (ii) D1D7CVB4ARB5AI AI C5; (iii) in rule (PARCB), BUBC BP BUAI where CWARBN BTCXCB AI A0AXCB CWARBCBN BTBCCXCB. Table5... ..."
Table 3. Using UMLS semantic type to define interests.
2003
"... In PAGE 5: ... Since our interests focus on brain tumor related concepts, we can specify a semantic filter worklist of pertinent documents based on brain tumor characteristics including: cancer type, anatomical location, and medical interventions. These characteristics are then mapped to relevant UMLS semantic types as shown in Table3 to ... ..."
Cited by 3
Table 3. Using UMLS semantic type to define interests.
"... In PAGE 5: ... Since our interests focus on brain tumor related concepts, we can specify a semantic filter worklist of pertinent documents based on brain tumor characteristics including: cancer type, anatomical location, and medical interventions. These characteristics are then mapped to relevant UMLS semantic types as shown in Table3 to ... ..."
Table 1: Classification of semantic representations in HPSG
2004
"... In PAGE 5: ... Table1 summarizes the possibilities that we are interested in. Each one of them is represented by a particular treatment of Ty2 as an object language.... In PAGE 16: ...NP ALC8BMBKDCCJC8B4DCB5CL everyone V ALCH ALCGBMCH B4ALDDBMCGB4ALDCBMreadBCB4DCBN DDB5B5B5 AY AR1 ALDDALCGBMCGB4ALDCBMreadBCB4DCBN DDB5B5 AY AR2 ALDDALDCBMreadBCB4DCBN DDB5 reads NP ALC9BMBLDDCJC9B4DDB5CL something VP ALCGBMBLDDCJCGB4ALDCBMreadBCB4DCBN DDB5B5CL AY AL CJALCH ALCGBMCH B4ALDDBMCGB4ALDCBMreadBCB4DCBN DDB5B5B5CLB4ALC9BMBLDDCJC9B4DDB5CLB5 S BLDDBKDCCJreadBCB4DCBN DDB5CL AY AL CJALCGBMBLDDCJCGB4ALDCBMreadBCB4DCBN DDB5B5CLCLB4ALC8BMBKDCCJC9B4DCB5CLB5 4 Discontinuous Representation: LRS In this section, we will introduce a new semantic meta-theory, Lexical Resource Semantics (LRS). The taxonomy of semantic systems in Table1 helps us to locate LRS with respect to the systems that we have sketched above. Just like LF-Ty2, LRS representations specify individual readings.... ..."
Cited by 11
Table 5: New semantics for a255 and a0
in Edited by
2003
"... In PAGE 26: ... Consequently, the state a118 a199 should satisfy the formula. Table5 shows the new de nition of the semantics of the operators a255 and a0 . Functions a130 a28 and a130 a167 are de ned in Table 6.... In PAGE 93: ... A symbolic con guration, written a119 a35a108a43a51a103a140 a120 a47a85 , is a pair composed by a symbolic trace a108 and an agent a140 , such that a208a119a210a42a110 a140 a113 a130 a80a23 and a59 a110 a140 a113 a227 a86a59 a110 a108 a113 . The symbolic semantics is based on a symbolic transition relation a10a76a68 a85 , de ned in Table5 . There, a function a210a142a208a10a63a88a87a8a110 a37 a113 is assumed such that, for any given a32 a11a227 n a22 , a210a142a208a13a63a88a87a19a110 a32 a113 is a variable not in a32 .... In PAGE 94: ... In the above rules it is assumed that: (i) a6 a130 a210a142a208a13a63a88a87a19a110 a32 a113 , being a32 the set of free variables in the source con guration; (ii) a17a29a20 a221 a43a110 a108 a113a24a105 a227 a170 ; (iii) in rule (PARa85 ), a145 a116 a130a66a145 a105 where a119 a35a108a43a51a84a140 a120 a41a85 a83 a10a34a68 a85 a119 a129a108 a116 a51a103a140 a116 a120 a116a85 . Table5 : Rules for symbolic transition relation ( a10a76a68 a85... ..."
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