"... In PAGE 13: ... Notice that both types of matching are not one-to-one. Table1 lists the numbers of matched templates in two grammars. The last row lists the frequencies of the matched ExtG templates in the Treebank.... In PAGE 14: ...9% 40.1% 100% Table1 : Matched templates and their frequencies t-match c-match matched unmatched total subtotal subtotal XTAG 158 339 497 507 1004 ExtG 81 134 215 2675 2890 frequency 78.6% 3.... In PAGE 16: ..., 1994), a subset of the Wall Street Journal and the Brown Corpus was parsed with the grammar and then subjected to a detailed error analysis. The results of the evaluation are shown in Table1 . Based on this evaluation the grammar was updated to handle errors caused due to #1, #2, #3, #7, #12, #13 and #14.... In PAGE 16: ... Rank No.errors Category of error #1 11 Parentheticals/appositives #2 8 Time NP #3 8 Missing subcat #4 7 Multi-word construction #5 6 Ellipsis #6 6 Not sentences #7 3 Gapless Relative clause #8 2 Funny coordination #9 2 VP coordination #10 2 Inverted predication #11 2 Who knows #12 1 Missing entry #13 1 Comparative #14 1 Bare infinitive Table1 : Results of Corpus-Based (WSJ and Brown) Error Analysis In addition to the corpus-based evaluation, the sentences (and phrases) of the TSNLP (Test Suites for Natural Lan- guage Processing) English Corpus (Lehmann et al., 1996) were also parsed using the XTAG grammar (Doran et al.... In PAGE 18: ... It is important to note here that there was very little overlap in the kinds of changes identified in the two kinds of evaluation. Compare the errors found after parsing corpora in Table1 and the errors found after parsing a test-suite in Table 2. We get a similar variation in the evaluations conducted in this paper.... In PAGE 21: ...Test corpus Training corpus ILIAD platform (subpart for free and controlled indexing) Corpus-based acquisition of new terms Corpus-based recognition of terms and their variants FASTR: Candidate terms used by FASTR as reference terms on candidate terms produced by ACABIT Free indexing based on terms from the thesaurus Controlled indexing considered as a free indexing Candidate terms ACABIT: Table1 : The terminological part of the ILIAD system by proposing, for a given corpus, a list of candidate terms ranked, from the most representative of the domain to the least using a statistical score. Candidate terms which are extracted from the corpus belong to a special type of cooc- currences: AF the cooccurrence is oriented and follows the linear or- der of the text; AF it is composed of two lexical units which do not belong to the class of functional words such as prepositions, articles, etc.... In PAGE 32: ...) Inter- operability can be accessed from text processing compliance existing thesauri standard relationships (part/whole, effect etc.) security read/write access rights Table1 : Specification of Properties of Functions from Task The above example demonstrates how functional properties of systems can be elaborated from a mapping of tasks to quality characteristics. In a next step properties or attributes need to be mapped onto scales in order to allow the measurement of the extent to which a property has been fulfilled by a system under evaluation.... In PAGE 42: ...33 The TRECs include two main information retrieval tasks: the ad-hoc task1 and the routing task - see (Voorhees amp; Harman, 1999 amp; 2000) for descriptions. Table1 indicates the collection used for the TREC-7 ad- hoc task. Note that queries must be run against all the corpora at once (the collection as a whole).... In PAGE 73: ... Concerning the topics, about 50 topics were proposed for the first phase and more than 150 topics for the second campaign. Table1 gives an exact overview of the volume of data for the two phases according to the providers, and table 2 gives the number of topics: Le Monde INIST LRSA ELRA Phase 1 67 Mo 132 Mo - - Phase 2 66 Mo 154 Mo 4,5 Mo ... In PAGE 74: ...65 Table1 . The volume of data Le Monde INIST LRSA ELRA Phase 1 26 30 - - Phase 2 52 60 21 15 x 6 lg Table 2.... ..."

"... In PAGE 13: ... Notice that both types of matching are not one-to-one. Table1 lists the numbers of matched templates in two grammars. The last row lists the frequencies of the matched ExtG templates in the Treebank.... In PAGE 14: ...9% 40.1% 100% Table1 : Matched templates and their frequencies t-match c-match matched unmatched total subtotal subtotal XTAG 158 339 497 507 1004 ExtG 81 134 215 2675 2890 frequency 78.6% 3.... In PAGE 16: ..., 1994), a subset of the Wall Street Journal and the Brown Corpus was parsed with the grammar and then subjected to a detailed error analysis. The results of the evaluation are shown in Table1 . Based on this evaluation the grammar was updated to handle errors caused due to #1, #2, #3, #7, #12, #13 and #14.... In PAGE 16: ... Rank No.errors Category of error #1 11 Parentheticals/appositives #2 8 Time NP #3 8 Missing subcat #4 7 Multi-word construction #5 6 Ellipsis #6 6 Not sentences #7 3 Gapless Relative clause #8 2 Funny coordination #9 2 VP coordination #10 2 Inverted predication #11 2 Who knows #12 1 Missing entry #13 1 Comparative #14 1 Bare infinitive Table1 : Results of Corpus-Based (WSJ and Brown) Error Analysis In addition to the corpus-based evaluation, the sentences (and phrases) of the TSNLP (Test Suites for Natural Lan- guage Processing) English Corpus (Lehmann et al., 1996) were also parsed using the XTAG grammar (Doran et al.... In PAGE 18: ... It is important to note here that there was very little overlap in the kinds of changes identified in the two kinds of evaluation. Compare the errors found after parsing corpora in Table1 and the errors found after parsing a test-suite in Table 2. We get a similar variation in the evaluations conducted in this paper.... In PAGE 21: ...Test corpus Training corpus ILIAD platform (subpart for free and controlled indexing) Corpus-based acquisition of new terms Corpus-based recognition of terms and their variants FASTR: Candidate terms used by FASTR as reference terms on candidate terms produced by ACABIT Free indexing based on terms from the thesaurus Controlled indexing considered as a free indexing Candidate terms ACABIT: Table1 : The terminological part of the ILIAD system by proposing, for a given corpus, a list of candidate terms ranked, from the most representative of the domain to the least using a statistical score. Candidate terms which are extracted from the corpus belong to a special type of cooc- currences: AF the cooccurrence is oriented and follows the linear or- der of the text; AF it is composed of two lexical units which do not belong to the class of functional words such as prepositions, articles, etc.... In PAGE 32: ...) Inter- operability can be accessed from text processing compliance existing thesauri standard relationships (part/whole, effect etc.) security read/write access rights Table1 : Specification of Properties of Functions from Task The above example demonstrates how functional properties of systems can be elaborated from a mapping of tasks to quality characteristics. In a next step properties or attributes need to be mapped onto scales in order to allow the measurement of the extent to which a property has been fulfilled by a system under evaluation.... In PAGE 42: ...33 The TRECs include two main information retrieval tasks: the ad-hoc task1 and the routing task - see (Voorhees amp; Harman, 1999 amp; 2000) for descriptions. Table1 indicates the collection used for the TREC-7 ad- hoc task. Note that queries must be run against all the corpora at once (the collection as a whole).... In PAGE 73: ... Concerning the topics, about 50 topics were proposed for the first phase and more than 150 topics for the second campaign. Table1 gives an exact overview of the volume of data for the two phases according to the providers, and table 2 gives the number of topics: Le Monde INIST LRSA ELRA Phase 1 67 Mo 132 Mo - - Phase 2 66 Mo 154 Mo 4,5 Mo ... In PAGE 74: ...65 Table1 . The volume of data Le Monde INIST LRSA ELRA Phase 1 26 30 - - Phase 2 52 60 21 15 x 6 lg Table 2.... ..."

"... In PAGE 3: ... Of course, the routes are not necessarily the shortest. The salient features of these protocols is summarized in Table1 . In this table, we have classi ed the protocols according to the metrics used for route optimization, the message overhead in determining routes, the type of protocol used and its convergence goals (active refers to a protocol that runs until all routing tables are consistent while passive refers to an algorithm that determines routes based on an as-needed basis).... ..."

"... In PAGE 11: ... For instance, PCH is the percentage of change in number of total intermediate hops from all source routes cached in DSR, but the per- centage of change of sum of metrics to all reachable destinations in DSDV and AODV. We used the following features in Table3 to build models on ad-hoc routing protocols. Notice features are collected from three sources, route cache, tra c pattern, and movement information of the host.... ..."

"... In PAGE 25: ...The surveyed protocols base their proposed solutions to the problem of secure ad hoc routing on certain assumptions and operational requirements. Table1 summarizes the results of the comparison regarding this aspect and forms a basis for the discussion in this section. Table 1.... ..."

"... In PAGE 31: ... Table3 gives comparison of typical multicast routing protocols for mobile ad hoc networks. Metrics used for comparison are the multicast delivery structure, how to acquire and maintain routing information, whether they are loop-free, the dependency on underlying unicast routing protocol, is the control packet flooding being used, the requirement for periodic control messages, the routing hierarchy and their scalability.... ..."

"... In PAGE 7: ...articularly long documents. This results in such documents being placed in a high ranking. Another problem is that noun phrases which automatically extracted from topic, sometimes retrieves insufficient documents. Table2 shows the summary of our system. Concerning points of improvement from now, we are thinking of another weight calculation method rather than the use of deviation.... ..."

"... In PAGE 10: ....3.1 Overlap The e ect of pooling can be measured by examining the overlap of retrieved documents. Table4 summa- rizes the amount of overlap in the ad hoc and routing pools for each of the six TRECs. The rst column in the table gives the maximum possible size of the pool.... In PAGE 10: ... Starting in TREC-4, various tracks also contributed documents to the ad hoc or routing pools. These are broken out in the appropriate rows within Table4 . The order of the tracks is signi cant in the table|a document retrieved in a track listed later is not counted for that track if the document was also retrieved by a track listed earlier.... In PAGE 10: ... An investigation of the size of the pools if everyone apos;s second choice were also merged into the pools showed that the pools would be too large for the assessors to nish in the available time.) Table4 shows that the average number of relevant documents per topic continues to decrease over the years. NIST has deliberately chosen more tightly- focused topics to better guarantee the completeness of the relevance assessments.... ..."

"... In PAGE 2: ...tasks: the ad-hoc task1 and the routing task - see (Voorhees amp; Harman, 1999 amp; 2000) for descriptions. Table1 indicates the collection used for the TREC-7 ad- hoc task. Note that queries must be run against all the corpora at once (the collection as a whole).... ..."