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Thus , over the past few years , along with advances in the use of learning and statistical methods for acquisition of full parsers ( Collins , 1997 ; Charniak , 1997a ; Charniak , 1997b ; Ratnaparkhi , 1997 ) , significant progress has been made on the use of statistical learning methods to recognize shallow parsing patterns syntactic phrases or words that participate in a syntactic relationship ( Church , 1988 ; Ramshaw and Marcus , 1995 ; Argamon et al. , 1998 ; Cardie and Pierce , 1998 ; Munoz et al. , 1999 ; Punyakanok and Roth , 2001 ; Buchholz et al. , 1999 ; Tjong Kim Sang and Buchholz , 2000 ) . | W01-0706 | External_555 | 2,001 | 1,997 | a holistic lexiconbased approach to opinion mining | three generative lexicalised models for statistical parsing | [
"M Collins"
] | null | While earlier work in this direction concentrated on manual construction of rules , most of the recent work has been motivated by the observation that shallow syntactic information can be extracted using local information by examining the pattern itself , its nearby context and the local part-of-speech information . Thus , over the past few years , along with advances in the use of learning and statistical methods for acquisition of full parsers ( Collins , 1997 ; Charniak , 1997a ; Charniak , 1997b ; Ratnaparkhi , 1997 ) , significant progress has been made on the use of statistical learning methods to recognize shallow parsing patterns syntactic phrases or words that participate in a syntactic relationship ( Church , 1988 ; Ramshaw and Marcus , 1995 ; Argamon et al. , 1998 ; Cardie and Pierce , 1998 ; Munoz et al. , 1999 ; Punyakanok and Roth , 2001 ; Buchholz et al. , 1999 ; Tjong Kim Sang and Buchholz , 2000 ) . Research on shallow parsing was inspired by psycholinguistics arguments ( Gee and Grosjean , 1983 ) that suggest that in many scenarios ( e.g. , conversational ) full parsing is not a realistic strategy for sentence processing and analysis , and was further motivated by several arguments from a natural language engineering viewpoint . | 2 | null | Background | [
134,
148
] | [
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] | Thus , over the past few years , along with advances in the use of learning and statistical methods for acquisition of full parsers ( @@CITATION ; Charniak , 1997a ; Charniak , 1997b ; Ratnaparkhi , 1997 ) , significant progress has been made on the use of statistical learning methods to recognize shallow parsing patterns syntactic phrases or words that participate in a syntactic relationship ( Church , 1988 ; Ramshaw and Marcus , 1995 ; Argamon et al. , 1998 ; Cardie and Pierce , 1998 ; Munoz et al. , 1999 ; Punyakanok and Roth , 2001 ; Buchholz et al. , 1999 ; Tjong Kim Sang and Buchholz , 2000 ) . | W01-0706_12 | 0 | introduction |
This was done by MERT optimization ( Och , 2003 ) towards post-edits under the TER target metric . | K15-1001 | P03-1021 | 2,015 | 2,003 | a holistic lexiconbased approach to opinion mining | minimum error rate training in statistical machine translation | [
"Franz Josef Och"
] | null | PE-dev was used to obtain w * to define the utility model . This was done by MERT optimization ( Och , 2003 ) towards post-edits under the TER target metric . Note that the goal of our experi - | 5 | null | Uses | [
37,
47
] | [
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] | This was done by MERT optimization ( @@CITATION ) towards post-edits under the TER target metric . | K15-1001_30 | 0 | experiments |
She evaluates 3,000 German verbs with a token frequency between 10 and 2,000 against the Duden ( Dudenredaktion 2001 ) . | J05-3003 | External_61276 | 2,005 | 2,001 | a holistic lexiconbased approach to opinion mining | duden—das stilworterbuch duden—the style dictionary | [
"editor Dudenredaktion"
] | null | The largest lexical evaluation we know of is that of Schulte im Walde ( 2002b ) for German . She evaluates 3,000 German verbs with a token frequency between 10 and 2,000 against the Duden ( Dudenredaktion 2001 ) . We will refer to this work and the methods and results presented by Schulte im Walde again in Sections 6.2 and 6.3 . | 6 | null | Background | [
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116
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] | She evaluates 3,000 German verbs with a token frequency between 10 and 2,000 against the Duden ( @@CITATION ) . | J05-3003_25 | 0 | null |
"The following four components have been identified as the key elements of a question related to pat(...TRUNCATED) | J07-1005 | External_17760 | 2,007 | 1,995 | a holistic lexiconbased approach to opinion mining | the wellbuilt clinical question a key to evidencebased decisions | [
"W Scott Richardson",
"Mark C Wilson",
"James Nishikawa",
"Robert S Hayward"
] | null | "The second facet is independent of the clinical task and pertains to the structure of a well-built (...TRUNCATED) | 2 | null | Background | [
111,
133
] | [[{"index":1,"word":"The","lemma":"the","after":" ","pos":"DT","characterOffsetEnd":2068,"segment_sp(...TRUNCATED) | [[{"index":1,"word":"â¢","lemma":"â¢","after":" ","pos":"NN","characterOffsetEnd":1,"segment(...TRUNCATED) | "The following four components have been identified as the key elements of a question related to pat(...TRUNCATED) | J07-1005_41 | 0 | null |
"Briscoe and Carroll ( 1997 ) report on manually analyzing an open-class vocabulary of 35,000 head w(...TRUNCATED) | J05-3003 | A97-1052 | 2,005 | 1,997 | a holistic lexiconbased approach to opinion mining | automatic extraction of subcategorization from corpora | [
"Edward Briscoe",
"John Carroll"
] | null | "As a generalization , Briscoe ( 2001 ) notes that lexicons such as COMLEX tend to demonstrate high (...TRUNCATED) | 6 | null | CompareOrContrast | [
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28
] | [[{"index":1,"word":"Briscoe","lemma":"Briscoe","after":" ","pos":"NNP","characterOffsetEnd":230,"se(...TRUNCATED) | [[{"index":1,"word":"Precision","lemma":"precision","after":" ","pos":"NN","characterOffsetEnd":453,(...TRUNCATED) | "@@CITATION report on manually analyzing an open-class vocabulary of 35,000 head words for predicate(...TRUNCATED) | J05-3003_10 | 0 | null |
"This is roughly an 11 % relative reduction in error rate over Charniak ( 2000 ) and Bods PCFG-reduc(...TRUNCATED) | E03-1005 | A00-2018 | 2,003 | 2,000 | a holistic lexiconbased approach to opinion mining | a maximumentropyinspired parser | [
"E Charniak"
] | null | "The highest accuracy is obtained by SL-DOP at 12 n 14 : an LP of 90.8 % and an LR of 90.7 % . This (...TRUNCATED) | 5 | null | CompareOrContrast | [
62,
79
] | [[{"index":1,"word":"This","lemma":"this","after":" ","pos":"DT","characterOffsetEnd":371,"segment_s(...TRUNCATED) | [[{"index":1,"word":"Compared","lemma":"compare","after":" ","pos":"VBN","characterOffsetEnd":497,"s(...TRUNCATED) | "This is roughly an 11 % relative reduction in error rate over @@CITATION and Bods PCFG-reduction re(...TRUNCATED) | E03-1005_39 | 0 | conclusion |
"Finally , feedback expressions ( head nods and shakes ) are successfully predicted from speech , pr(...TRUNCATED) | P10-2059 | External_88748 | 2,010 | 2,005 | a holistic lexiconbased approach to opinion mining | contextual recognition of head gestures | [
"Louis-Philippe Morency",
"Candace Sidner",
"Christopher Lee",
"Trevor Darrell"
] | null | "Louwerse et al. ( 2006 ) and Louwerse et al. ( 2007 ) study the relation between eye gaze , facial (...TRUNCATED) | 2 | null | Background | [
223,
244
] | [[{"index":1,"word":"Finally","lemma":"finally","after":"","pos":"RB","characterOffsetEnd":1521,"seg(...TRUNCATED) | [[{"index":1,"word":"Our","lemma":"we","after":" ","pos":"PRP$","characterOffsetEnd":1800,"segment_s(...TRUNCATED) | "Finally , feedback expressions ( head nods and shakes ) are successfully predicted from speech , pr(...TRUNCATED) | P10-2059_16 | 0 | introduction |
"We use the agreement checker code developed by Alkuhlani and Habash ( 2011 ) and evaluate our basel(...TRUNCATED) | J13-1008 | P11-2062 | 2,013 | 2,011 | a holistic lexiconbased approach to opinion mining | a corpus for modeling morphosyntactic agreement in arabic gender number and rationality | [
"Sarah Alkuhlani",
"Nizar Habash"
] | null | "We now turn to our second type of error analysis , the evaluation of the grammaticality of the pars(...TRUNCATED) | 5 | null | Uses | [
47,
76
] | [[{"index":1,"word":"We","lemma":"we","after":" ","pos":"PRP","characterOffsetEnd":1008,"segment_spa(...TRUNCATED) | [[{"index":1,"word":"The","lemma":"the","after":" ","pos":"DT","characterOffsetEnd":1250,"segment_sp(...TRUNCATED) | "We use the agreement checker code developed by @@CITATION and evaluate our baseline ( MaltParser us(...TRUNCATED) | J13-1008_2 | 0 | conclusion |
"The diagnoser , based on Dzikovska et al. ( 2008b ) , outputs a diagnosis which consists of lists o(...TRUNCATED) | P10-4003 | External_22831 | 2,010 | 2,008 | a holistic lexiconbased approach to opinion mining | linking semantic and knowledge representations in a multidomain dialogue system | [
"Myroslava O Dzikovska",
"James F Allen",
"Mary D Swift"
] | null | "The knowledge base is used to check the factual correctness of the answers first , and then a diagn(...TRUNCATED) | 3 | null | Extends | [
25,
48
] | [[{"index":1,"word":"The","lemma":"the","after":" ","pos":"DT","characterOffsetEnd":1149,"segment_sp(...TRUNCATED) | [[{"index":1,"word":"At","lemma":"at","after":" ","pos":"IN","characterOffsetEnd":1335,"segment_span(...TRUNCATED) | "The diagnoser , based on @@CITATIONb ) , outputs a diagnosis which consists of lists of correct , c(...TRUNCATED) | P10-4003_8 | 0 | experiments |
"The formalization of DLRs provided by Meurers ( 1995 ) defines a formal lexical rule specification (...TRUNCATED) | J97-4003 | External_41778 | 1,997 | 1,995 | a holistic lexiconbased approach to opinion mining | towards a semantics for lexical rules as used in hpsg | [
"Detmar Meurers"
] | null | "One thus needs to distinguish the lexical rule specification provided by the linguist from the full(...TRUNCATED) | 2 | null | Background | [
38,
54
] | [[{"index":1,"word":"The","lemma":"the","after":" ","pos":"DT","characterOffsetEnd":1794,"segment_sp(...TRUNCATED) | [[{"index":1,"word":"This","lemma":"this","after":" ","pos":"DT","characterOffsetEnd":2080,"segment_(...TRUNCATED) | "The formalization of DLRs provided by @@CITATION defines a formal lexical rule specification langua(...TRUNCATED) | J97-4003_36 | 0 | introduction |
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