| { | |
| "paper_id": "E91-1038", | |
| "header": { | |
| "generated_with": "S2ORC 1.0.0", | |
| "date_generated": "2023-01-19T10:38:05.148983Z" | |
| }, | |
| "title": "The Semantics of Collocational Patterns for Reporting Verbs", | |
| "authors": [ | |
| { | |
| "first": "Sabine", | |
| "middle": [], | |
| "last": "Bergler", | |
| "suffix": "", | |
| "affiliation": { | |
| "laboratory": "", | |
| "institution": "Brandeis University Waltham", | |
| "location": { | |
| "postCode": "02254", | |
| "region": "MA" | |
| } | |
| }, | |
| "email": "sabine@chaos.cs.brandeis.edu" | |
| } | |
| ], | |
| "year": "", | |
| "venue": null, | |
| "identifiers": {}, | |
| "abstract": "One of the hardest problems for knowledge extraction from machine readable textual sources is distinguishing entities and events that are part of the main story from those that are part of the narrative structure, hnportantly, however, reported sl)eech in newspaper articles explicitly links these two levels. In this paper, we illustrate what the lexical semantics of reporting verbs must incorporate in order to contribute to the reconstruction of story and context. The lexical structures proposed are derived from the analysis of semantic collocations over large text corpora.", | |
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| "text": "One of the hardest problems for knowledge extraction from machine readable textual sources is distinguishing entities and events that are part of the main story from those that are part of the narrative structure, hnportantly, however, reported sl)eech in newspaper articles explicitly links these two levels. In this paper, we illustrate what the lexical semantics of reporting verbs must incorporate in order to contribute to the reconstruction of story and context. The lexical structures proposed are derived from the analysis of semantic collocations over large text corpora.", | |
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| "section": "Abstract", | |
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| "text": "We can distinguish two levels in newspaper articles: the pure information, here called primary informalion, and the meta-informati0n , which embeds the primary information within a perspective, a belief context, or a modality, which we call circumstan.tim information. The distinction is not limited to, but is best illustrated by, reported speech sentences. Here the matrix clause or reporting clause corresponds to the circumstantial:information, while the complement (whether realized as a full clause or as a noun phrase) corresponds t'o primary information. For tasks such as knowledge extraction it is the primary information that is of interest. For example in the text of Figure 1 the matrix clauses (italicized) give the circumstantial information of the who, when and how of the reporting event, while what is reported (the primary information) is givel~ in tile complements.", | |
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| "start": 680, | |
| "end": 688, | |
| "text": "Figure 1", | |
| "ref_id": "FIGREF0" | |
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| "section": "I Motivation", | |
| "sec_num": null | |
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| "text": "The particular reporting verb also adds important information about the manner of the original utterance, the preciseness of tile quote, the temporal rela-I, iolJship between ,uatrix clause and e(mq~h:me,l,, aml more. In addition, the source of tile original infor-mation provides information about the reliability or credibility of the primary information. Because the individual reporting verbs differ slightly but importantly in this respect, it is the lexicai semantics that must account for such knowledge.", | |
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| "section": "I Motivation", | |
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| "text": "Hostages (R1) The Bush administration continued to insist ~esterday that (CI) it is not involved in negotiations over the Western hostages in Lebanon, (R2) but acknowledged that (C2) US olliciais have provided advice to and have been kept informed by \"people at all levels\" who are holding such talks. (C3) \"There's a lot happening, and I don't want to be discouraging,\" (R3) Marlin Fitzwalet, the president's spokesman, told reporters. (R4) But Fitzwater stressed that (C4) he was not trying to fuel speculation about any impending release, (R5) and said (C5) there was \"no reason to believe\" the situation had changed.", | |
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| "section": "US Advising Third Parties on", | |
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| "text": "(All Nevertheless, it appears that it has .... We describe here a characterization of influences which the reporting clause has on the interpretation of the reported clause without fully analyzing the reported clause. This approach necessarily leaves many questions open, because the two clauses are so intimately linked that no one can be analyzed fully in isolation. Our goal is, however, to show a minimal requirement on the lexical semantics of tile words involved, thereby enabling us to attempt a solution to the larger problems in text analysis. The lexicai semantic framework we assume ill this paper is that of the Generative Lexicon introduced hy Pustejovsky [Pustejovsky89] . This framework allows o. 216 -us to represent explicitly even those semantic cello-Keywords cations which have traditionally been assumed to be insist presupl)ositions and not part of the lexicon itself.", | |
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| "text": "insist on", | |
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| "text": "Reporting verbs carry a varying amount of information regarding time, manner, factivity, reliability etc. of the original utterance. The most unmarked reporting verb is say. The only presupposition for say is that there was an original utterance, the assumption being that this utterance is represented as closely as possible. In this sense say is even less marked than re. porl, which in addition specifies an a(Iressee (usually implicit from the context.) The other members in the semantic fieM are set apart through their semantic collocations. Let us consider in depth the case of insist. One usage cart be found in the first part of the first sentence in Figure 1 , repeated here as (1). The opposition, mentioned explicitly in LDOCE but only hinted at in MWDP, is an important part of the meaning of insisl. In a careful analysis of a 250,000 word text base of TIME magazine articles from 1963 (TIMEcorpus) [Berglerg0a] we confirmed that in every sentence containing insist some kind of opposition could be recovered and was supported by some other means (such as emphasis through word order etc.). Tire most common form of expressing the opposition was through negation, as in (1) above.", | |
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| "start": 660, | |
| "end": 668, | |
| "text": "Figure 1", | |
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| "section": "II Semantic Collocations", | |
| "sec_num": null | |
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| "text": "In an automatic analysis of the 7 million word corpus containing Wall Street Journal documents (WSJC) [Berglerg0b] , we found the distribution of patterns of opposition reported in Figure 2 . This analysis shows that of 586 occurrences of insist throughout tim VVSJC, 10O were instances of the idiom insisted on which does not subcategorize for a clausal complement. Ignoring I.hese occurrences for now, of the remaining 477 occurrences, 428 cooccur with such explicit markers of opposition as but (selecting for two clauses that stand in an opposition), not and n't, and subjunctive markers (indicating an opposition to factivity). While this is a rough analysis ;rod contains some \"noise\", it supports the findings of our carefid study on the TIMEcorpus, namely the following:", | |
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| "text": "Figure 2", | |
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| "section": "II Semantic Collocations", | |
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| "text": "2 A propositional opposition is implicit in the lexical semantics of insist. This is where our proposal goes beyond traditional colloeational information, as for example recently argued for by Smadja and McKeown [Smadja&McKeown90] . They argue for a flexible lexicon design that can accomodate both single word eutries and collocational patterns of different strength and rigidity. But the collocations considered in their proposal are all based on word cooccurrences, not taking advantage of the even richer layer of semantic collocations made use of in this proposal. Semantic collocations are harder to extract than cooccurrence patterns--the state of the art does not enable us to find semantic collocations automatically t. This paper however argues that if we take advantage of lexicai paradigmatic behavior underlying the lexicon, we can at least achieve semi-automatic extraction of semantic collocations (see also Calzolari and Bindi (1990) I But note the important work by Hindle [HindlegO] on extracting semantically similar nouns based on their substitutability in certain verb contexts. We see his work as very similar in spirit.", | |
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| "text": "Smadja and McKeown [Smadja&McKeown90]", | |
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| "text": "Calzolari and Bindi (1990)", | |
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| "text": "and Pustejovsky and Anick (1990) for a description of tools for such a semi-automatic acquisition of semantic information from a large corpus).", | |
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| "text": "Using qualia structure as a means for structuring different semantic fields for a word [Pustejovsky89] , we can summarize the discussion of tile lexical semantics of insist with a preliminary definition, making explicit tile underlying opposition to the ,xssumed context (here denoted by \u00a2) and the fact that insist is a reporting verb. Although metonymy is a general device --in that it can appear in almost any context and make use of associations never considered before 2 --a closer 2As the well-known examl)h.\" The ham sandwich ordered another coke. illustrates. look at the data reveals, however, that metonymy as used in newspaper articles is much more restricted and systematic, corresponding very closely to logical metonymy [Pustejovsky89] .", | |
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| "text": "Not all reporting verbs use the same kind of metonymy, however. Different reporting verbs select for different semantic features in their source NPs. More precisely, they seem to distinguish between a single person, a group of persons, and an institution. We confirmed this preference on the TIMEcorpus, extracting automatically all tile sentences containing one of seven reporting verbs and analyzing these data by hand. While the number of occurrences of each re-portitLg verb was much too small to deduce tile verb's lexical sema,Ltics, they nevertheless exhibited interesting tendencies. . We are currently implementing statistical methods to perform similar analyses on WSJC. We hope that the impreciseness of an automated analysis using statistical methods will be counterbalanced by very clear results.", | |
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| "section": "(Preliminary", | |
| "sec_num": "3" | |
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| "text": "The TIMEcorpus also exhibited a preference for one particular metonymy, which is of special interest for reporting verbs, namely where the name of a country, of a country's citizens, of a capital, or even of the building in which the government resides stands for the government itself. Examples are Great Britain/ The British/London/ Buckingham Palace announced .... Figure 4 shows the preference of the re-I)orting verbs for tiffs metonymy in subject position.", | |
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| "text": "Figure 4", | |
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| "text": "Again the numbers are too small to say anything about each lexical entry, but the difference in preference is strong enough to suggest it is not only due to the specific style of the magazine, but that some metonymies form strong collocations that should be reflected in the lexicon. Such results ill addition provide interesting data for preference driven semantic analysis such as Wilks' [Wilks75] . The grammar exemplified in Figure 5 is partial --it only captures the regularities found in the TIMEcor-pus. Source NPs, like all NPs, can be adorned with modifiers, temporal adjuncts, appositions, and relative clauses of any shape. Tile important observation is that these cases are very rare in thc corpus data and must be dealt with by general (i.e. syntactic) principles.", | |
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| "section": "(Preliminary", | |
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| "text": "The value of a specialized semantic grammar for source NPs is that it provides a powerful interface between lexical semantics, syntax, and compositional semantics. Our source NP grammar compiles differeat kinds of knowledge. It spells out explicitly that logical metonymy is to be expected in the context of reportiog verbs. Moreover, it restricts possible metonymies: the ham sandwich is not a typical source with reporting verbs. The source gralnmar also gives a likely ordering of pertinent information as roughly", | |
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| "section": "(Preliminary", | |
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| "text": "This information defines esscntially the schema for the rei)resentation of the source in the knowledge ex-I.raction domain.", | |
| "cite_spans": [], | |
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| "section": "COUNTRYILOCATION ALLEGIANCE INSTITU-TION POSITION NAME.", | |
| "sec_num": null | |
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| "text": "We are currently applying this grammar to the data i,a WSJC in order to see whether it is specific to the TIMEcorpus. Preliminary results were encouraging: The adjustments needed so far consisted only of small enhancements such as adding locative PPs at the end of a descriptor.", | |
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| "section": "COUNTRYILOCATION ALLEGIANCE INSTITU-TION POSITION NAME.", | |
| "sec_num": null | |
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| "text": "The data that lead to our source NP gratmnar was essentially collocational materiah We extracted tile sul)ject NPs for a set of verbs, analyzed the iexicalization of tile source and generalized the findings a. In this section we will justify why we think that tile results can properly be generalized and what impact this has on tile representation in the lexicon.", | |
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| "section": "V LCPs Lexical Conceptual Paradigms", | |
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| "text": "It has been noted that dictionary definitions form a --usually slmllow --hierarchy [Amsler80] . Unfortunately explicitness is often traded in for conciseness in dictionaries, and conceptual hierarchies cannot be automatically extracted from dictionaries alone. Yet for a computational lexicon, explicit dependencies in the form of lexicai inheritance are crucial [Briscoe&al.90] [Pustejovsky&Boguraev91]. Following Anick and Pustejovsky (1990), we argue that lexical items having related, paradigmatic syntactic behavior enter into the same iezical conceptual paradigm. Tiffs states that items within an LCP will have a set ofsyntactic realization patterns for how the 3A detailed report on the analysis can be found in [BergleJX30a] word and its conceptual space (e.g. presuppositions) are realized in a text. For example, reporting verbs form such a paradigm. In fact the definition of an individual word often stresses the difl'erence between it and the closest synonym rather than giving a constructive (decompositioual) definition (see LDOCE). 4 Given these assumptions, we will revise our definition of insist in (3). We introduce an I,CP (i.e. soma,Jtic type), REPOffFING VERB, which spells out the core semantics of reporting verbs. It also makes explicit reference to the source NI ) grammar dist'ussed in Section IV as the default grammar for the subject NP (in active voicc). This general template allows us to define the individval lexical entry concisely in a form close to norn,al dictionary d,;li,fifions: deviations and enhancements ,as well as restrictions of the general pattern are expressed for the i,,dividnal entry, making a COml)arison betweelt two entries focus on the differences in eqtailments. their common preference not to participate in the metonymy that allows insiitulions to appear in subjcct position. Note t, hat opposed and negate are not assumed to be primitives but decompositions; these predicates are themselves decomposed further in the lexicon.", | |
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| "end": 93, | |
| "text": "[Amsler80]", | |
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| "section": "V LCPs Lexical Conceptual Paradigms", | |
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| { | |
| "text": "Semantic", | |
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| "section": "(Definition of", | |
| "sec_num": "5" | |
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| { | |
| "text": "Insist (and other reporting verbs) \"inherit\" much structural inforrnation from their semantic type, i.e, the LCP REPOR'I3NG VERB. It is the semantic type that actual.ly provides the constructive definition, whereas the individual entries only dclinC refinements on the type.", | |
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| "section": "(Definition of", | |
| "sec_num": "5" | |
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| { | |
| "text": "This follows standard inheritance mechanisms for inheritance hierarchies", | |
| "cite_spans": [], | |
| "ref_spans": [], | |
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| "section": "(Definition of", | |
| "sec_num": "5" | |
| }, | |
| { | |
| "text": "[Pustciovsky&Boguraev91] [Evans&Gazdar90].", | |
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| "section": "(Definition of", | |
| "sec_num": "5" | |
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| "text": "Among other things the I,CI ) itEPOltTING VEiLB specilles our specialized semantic grammar for one of its constituents, namely the subject NP in nonpassive usage. This not only enhances tile tools available to a parser in providing semantic constraints useful for constituent delimiting, but also provides an elegant:way to explicitly state which logical metonymies are common with a given class of words 5.", | |
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| "section": "(Definition of", | |
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| "text": "Reported speech is an important phenomenon that cannot be ignored when analyzing newspaper articles. We argue that the lexicai semantics of reportiug vcrbs plays all important part in extracting information from large on-iiine tcxt bases.", | |
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| "section": "VI Summary", | |
| "sec_num": null | |
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| { | |
| "text": "Based oil extensive studies of two corpora, the 250,000 word TlMEcorpus and the 7 million word Wall Street Journal Corpus we identified that semantic coilocalious must be represented ill the lexicon, expanding thus on current trends to indude syntactic collocations in a word based lexicon [Smadj~d~M cKeown90].", | |
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| "section": "VI Summary", | |
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| "text": "We further discovered that logical metonymy is pervasive in subject position of reporting verbs, but that reporting verbs differ with respect to their preference for different kinds of logical metonymy. A careful analysis of seven reporting verbs in the TIMEcorpus suggested that there are three features that divide the reporting verbs into classes according to the preference for metonymy in subject position, namely whether the subject NP refers to the source as a single person, a group of people, or an institution.", | |
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| "section": "VI Summary", | |
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| "text": "The analysis of the source NPs of seven reporting verbs further allowed us to formulate a specialized se-SGrimshaw [Grimshaw79] argues that verbs also select for their complements on a semantic basis. [;'or the sake of coneiscncss tim whole issue of the form of the complement and its semantic connection has to be omitted here. mantic grammar for source NPs, which constitutes an important interface between lexical semantics, syntax, and compositional semantics used by an application program. We are currently testing the completeness of this grammar on a different corpus and are planning to implement a noun phrase parser.", | |
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| "section": "VI Summary", | |
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| { | |
| "text": "We have imbedded the findings in the framework of Pustejovsky's Generative Lexicon and qualia theory [Pustejovsky89] [Pustejovsky91]. This rich knowi-' edge representation scheme allows us to represent explicitly the underlying structure of the lexicon, ineluding the clustering of entries into semant.ic types (i.e. I,CPs) with inheritance and the representation of information which wa.s previously considered presuppositional and not part of the lexicai entry itself.", | |
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| "text": "In this process we observed that the analysis of semantic collocations can serve as a measure of semantic closeness of words.", | |
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| "back_matter": [ | |
| { | |
| "text": "I would like to thank I.ily advisor, James Pustejovsky, for inspiring discussions and irlany critical readings.", | |
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| "section": "Acknowledgements:", | |
| "sec_num": null | |
| } | |
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| "BIBREF0": { | |
| "ref_id": "b0", | |
| "title": "The Structure of the Merriam-Webster Pocket Dictionary", | |
| "authors": [ | |
| { | |
| "first": "Robert", | |
| "middle": [ | |
| "A" | |
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| "raw_text": "Robert A. Amsler. The Structure of the Merriam-Webster Pocket Dictionary. PhD the- . sis, University of Texas, 1980.", | |
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| "title": "Knowledge acquisition from corpora", | |
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| "venue": "Pracecdings of the I3th International Con-]crence on Computational Linguistics", | |
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| "FIGREF0": { | |
| "uris": null, | |
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| "text": "Boston Globe, March 6, 1990", | |
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| "FIGREF1": { | |
| "uris": null, | |
| "type_str": "figure", | |
| "text": "Negative markers with insist in WSJC", | |
| "num": null | |
| }, | |
| "FIGREF2": { | |
| "uris": null, | |
| "type_str": "figure", | |
| "text": "Lexical l)elinition) insist(A,B) [Form: Reporting Verb] [7'elic: utter(A,B) & :1\u00a2: opposed(B#)] [Agentive: human(A)]III Logical Metonymyin the previous section we argued that certain semantic collocations are part of the lexical semantics of a word. In this section we will show that reporting verbs as a class allow logical metonymy[Pustejovsky91] [l'ustejovsky&Anick88]. An example caLL be found in (1), where the metonymy is found in tile subject, NP. The Bush administration is a compositional object of type administration, which is defined somewhat like (4). 4 (Lexical l)elinition) administration [Form: + plural part of: institution] [Telic: execute(x, orders(y)), where y is a high official in the specific institution] [Constitutive: + human executives, officials,...] [Aoentive: appoint(y, x)] In its formal role at least, i an administration does not fldfill the requirements for making an utterance-only in its constitutive role is there the attribute [4_ human], allowing for the metonymic use.", | |
| "num": null | |
| }, | |
| "FIGREF3": { | |
| "uris": null, | |
| "type_str": "figure", | |
| "text": "shows the distribution of the degree of animacy. The numbers indicate percent of total occurrence of the verb, i.e. in 100 sentences that contain insist as a reporting verb, 57 have a single person as their source.", | |
| "num": null | |
| }, | |
| "FIGREF4": { | |
| "uris": null, | |
| "type_str": "figure", | |
| "text": "Degree of Animacy in Reporting VerbsThe significance of the results inFigure 3is that semantically related words have very similar distributions and that this distribution differs from the distribution of less related words. Admit, denied and insist then fall ill one category that we call call here infor-mally [-inst], said and told fan in [+person], and claim \u2022 and announce fall into a not yet clearly marked category [other]", | |
| "num": null | |
| }, | |
| "FIGREF5": { | |
| "uris": null, | |
| "type_str": "figure", | |
| "text": "Country, countrymen, or capital standing government in subject l)osition of 7 reportingIV A Source NP GrammarThe analysis of the subject NPs of all occurrences of tile 7 verbs listed illFigure 3displayed great regularity in tile TIMEcorpus. Not only was the logical metonymy discussed in the previous section pervasive, but moreover a fairly rigid semanticgrammar for the source NPs emerged. Two rules of this semantic grammar are listed inFigure 5.source [quant] [mod] descriptor [\",\" name \",\"] J [descriptor j((a J the) rood)] [mod] name J [inst's I name's] descriptor [name] J name \",\" [a j the] [relation prep]", | |
| "num": null | |
| }, | |
| "FIGREF6": { | |
| "uris": null, | |
| "type_str": "figure", | |
| "text": "Two rules in a semantic grammar for source NPs", | |
| "num": null | |
| }, | |
| "FIGREF7": { | |
| "uris": null, | |
| "type_str": "figure", | |
| "text": "Type) REPORTING VERB [Form: :IA,B,C,D: utter(A,B) & hear(C,B) & utter(C, utter(A,B)) & hear(D,utter(C, utter(A,B)))] [Constitutive: SU BJ ECT: type:SourceN P, COMPLEMENT ] [Agent|re: AGENT(C), COAGENT(A)/ 6 (i,exical Definition) insist(A,B) [Form: ItEI)ORTING VEI(B] [Tclic: 3\u00a2: opposed(B,~b)] [Constitutive: MANNER: vehement] [Agent|re: [-inst]] A related word, deny, might be defined as 7. 7 (Lexical Definition) deny(A,B) [Form: REPORTING VERB] [T~tic: 3q,: negate(n,q,)] [Agentive: l-instil (6) and (7) differ in the quality of their opposition to the assumed proposition in the context, tb: insist only specifies an opposition, whereas deny actually negates that proposition. The entries also reflect ~' ll'he notion of LCPs is of course related to the idea of aemanlic fields [Trier31].", | |
| "num": null | |
| }, | |
| "TABREF2": { | |
| "num": null, | |
| "text": "", | |
| "html": null, | |
| "type_str": "table", | |
| "content": "<table><tr><td>admit</td><td>64%</td><td>19%</td><td>14%</td><td>2%</td></tr><tr><td colspan=\"2\">announce .... 51%</td><td>10%</td><td>31%</td><td>8%</td></tr><tr><td>claim</td><td>35%</td><td>21%</td><td>38%</td><td>6%</td></tr><tr><td>denied</td><td>55%</td><td>17%</td><td>17%</td><td>11%</td></tr><tr><td>insist</td><td>57%</td><td>24%</td><td>16%</td><td>3%</td></tr><tr><td>said</td><td>83%</td><td>6%</td><td>4%</td><td>8%</td></tr><tr><td>told</td><td>69%</td><td>7%</td><td>8%</td><td>16%</td></tr></table>" | |
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| } | |
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