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Eric Brill and Philip Resnik. 1994. A rule-based approach to prepositional phrase attachment disambiguation.

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Learning Transformation Rules to Find Grammatical Relations - Ferro, Vilain, Yeh (1999)   (3 citations)  (Correct)

....Each noun with a possible semantic class of act or process in Wordnet [Miller, 1990] and that noun s arguments) can likewise be deemed a base level clause. The Processing Model Our system uses transformnation based error driven learning to automatically learn rules fi om training ex amples [Brill and Resnik, 1994]. One first runs the system on a training set, which starts with no grammatical relations marked. This training run moves in iterations with each iteration producing the next rule that yields the best bet gain in the training set (number of matching relationships found minus the number of ....

....text versus narratives) and different standards of grammatical relationships. An additional item of experimentation is to use our sys tem to adapt other systems, including earlier versions of our system, to these differing styles and standards. Like other Brill transformation rule systems [Brill and Resnik, 1994], our system can take in the output of another system and try to improve on it. This suggests a relatively low expense method to adapt a hard to alter system that performs well on a slightly different style or standm d. Our training approach accepts as a starting point an initial labeling of the ....

E. Brill aud P. Rsnik. A rule- based approach to prepositional phrase attachment disambiguation. In 15th International Conf on Computational Linguistics (COLING). 1994.


Unsupervised Learning of Syntactic Knowledge: Methods .. - Basili, Marziali..   (Correct)

....synonymy sets. In (Ratnaparkhi et al., 1994) word classes are derived automatically with a clustering procedure. Franz, 1995) uses a loglinear model to estimate preferred attachments according to the linguistic features of co occurring words (e.g. bigrams, the accompanying noun determiner, etc. (Brill and Resnik, 1994) use transformationbased error driven learning (Brill, 1992) to derive dis ambiguation rules based on simple context information (e.g. right and left adjacent words or POSs) All these approaches need extensive collections of positive examples (i.e. hand corrected attachment instances) in order ....

Brill E., Resnik P., A rule-based ap- proach to prepositional phrase attachment disambiguation, in Proc. of COLING 94, 1198-1204


With - Maynard (1996)   (Correct)

....We examine the different ways in which with can be used, and look at the methods that can be used to help determine the correct attachment point. In particular, we focus on the possibility that correct predictions can be made given the verb and its objects of the preposition. Experiments such as [BR94] and [WAB 91] seem to suggest that this may be sufficient information to produce good results, but psycholinguistic research implies that other information such as real world knowledge and contextual clues play a part in human sentence processing. We predict that if this type of information ....

....phrase attachment ambiguities by means of statistical approaches involving semantic word classes, e.g. WAB 91] BPV91] Bri93] HR93] These probabilistic models produce the interpretation with the greatest likelihood of occurrence. 26 3. 1 Rule Based Approaches Brill and Resnik [BR94] describe a rule based approach to disambiguation of prepositional phrase attachment, which uses information automatically extracted from a large corpus. Their approach relies on a rule based approach which attempts to predict the correct attachment of the preposition, with the aid of contextual ....

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E. Brill and P. Resnik. A rule-based approach to prepositional phrase attachment disambiguation. In Proceedings of the Fifteenth International Conference on Computational Linguistics (COLING-1994), Kyoto, Japan, 1994.


A Probabilistic Approach to Lexical Semantic Knowledge Acquisition.. - Li (1998)   (Correct)

.... In past research, methods of resolving ambiguities have been based, for example, on the assumption that case slots are mutually independent (Hindle and Rooth, 1991; Sekine et al. 1992; Resnik, 1993a; Grishman and Sterling, 1994; Alshawi and Carter, 1994) or at most two case slots are dependent (Brill and Resnik, 1994; Ratnaparkhi, Reynar, and Roukos, 1994; Collins and Brooks, 1995) 2.5 Structural Disambiguation 2.5.1 The lexical approach There have been many probabilistic methods proposed in the literature to address the structural disambiguation problem. Some methods tackle the basic problem of resolving ....

.... the conditional distribution by using the Maximum Entropy Estimation technique (see (Jaynes, 1978; Darroch and Ratcli#, 1972; Berger, Pietra, and Pietra, 1996) Another method of the quadruple approach is to employ transformation based error driven learning (Brill, 1995) as proposed in (Brill and Resnik, 1994). This method learns and uses IF THEN type rules, where the IF parts represent conditions like (p is with ) and (v is see ) and the THEN parts represent transformations from (attach to v) to (attach to n 1 ) and vice versa. The first rule is always a default decision, and all the other rules ....

[Article contains additional citation context not shown here]

Brill, Eric and Philip Resnik. 1994. A rule-based approach to prepositional phrase attachment disambiguation. Proceedings of the 15th International Conference on Computational Linguistics, pages 1198--1204.


Towards Answer Extraction: An Application to Technical .. - Rinaldi, Dowdall.. (2002)   (Correct)

.... uses the robust dependency based parser Link Grammar (LG) 16] which is able to handle a wide range of syntactic structures [17] Syntactically unresolvable ambiguities, such as prepositional phrase attachment or gerund and infinitive constructions, are treated with a corpus based approach [2]. Sentenceinternal pronouns are dealt with using the anaphora resolution algorithm [11] LG uses linkages to describe the syntactic structure of a sentence (see figure 2) Links connect pairs of words in such a way that the requirements of each word described in the sentences are satisfied, that ....

.... which we also base our MLFs) The syntax analysis in Falcon is based on a statistical parser [4] while we use a dependency parser that computes all syntactically possible structures which we then filter according to a combination of hand crafted rules and Brill and Resnik disambiguation procedure [2]. A similarity between ExtrAns and Falcon is that both build a semantic form starting from a dependency based representation of the questions. As for the type of inferencing used, while ExtrAns uses standard deduction (proving questions over documents) Falcon uses an abductive backchaining ....

Eric Brill and Philip Resnik, `A rule-based approach to prepositional phrase attachment disambiguation', in Proc. COLING '94, volume 2, pp. 998--1004, Kyoto, Japan, (1994).


Corpus-driven learning of Event Recognition Rules - Basili, Pazienza, Vindigni   (Correct)

.... of ML for NL include works on computational learnability of linguistic knowledge ( 4, 5] or example driven learning applied to text classification and document processing ( 14] More recent approaches span from very specific language processing tasks (e.g. induction of PP disambiguation rules [8], ML driven subcategorization frames acquisition [2] or case based discourse modeling [9] to integration of symbolic induction and quantitative techniques for the construction of extensive components of lexical knowledge bases (e.g. 17, 12, 3] 2 Adapting IE systems to domains and users In IE ....

....of the two sources of information is obtained by a linear combination via the coefficents 1 and 2 . As a result of this phase lexical semantic patterns of the form sem patt( break, subj,obj] capitalist : entity something ] law law of nature : psychological feature ] [8,17,45]) or semp patt( earn, subj,obj,in] person individual someone somebody mortal human soul : entity something ] information : psychological feature ] time period period period of time amount of time : abstraction ] 7,34] are derived. The last argument of the ....

E. Brill and P. Resnik, `A rule based approach to prepositional phrase attachment disambiguation', in Proc. of COLING-94, Kyoto, Japan, (1994).


Memory Based Learning in NLP - Roth (1999)   (Correct)

....However, we observe that these conjunctive features are the common features used anyhow by most learning algorithms applied to various disambiguation and predictions tasks in NLP. For example, various methods have been used to study the PPA problem discussed in Ex. 3. 1 [ Collins and Brooks, 1995; Brill and Resnik, 1994; Ratnaparkhi et al. 1994; Krymolowski and Roth, 1998 ] All of them make use of essentially the same conjunctive features presented here. The same holds for many other problems. We conclude that MBL methods are linear over feature spaces that are commonly used for learning in NLP. Space ....

....make no abstractions. In terms of the vector representations z constructed in Sec. 3 that means that every feature that is observed active in the training set will have a non zero coe cient, and may contribute to future predictions. Algorithms like Transformations Based Learning [ Brill, 1995; Brill and Resnik, 1994 ] on the other hand, start with the same set of features as does MBL, but prune the feature space very aggressively, with the goal of outputting a very small list of active features. Bayesian algorithms, Golding, 1995; Gale et al. 1993 ] on the other hand, keep all the features alive, only ....

E. Brill and P. Resnik. A rulebased approach to prepositional phrase attachment disambiguation. In Proc. of COLING, 1994.


Prosody Prediction For Speech Synthesis Using Transformational.. - Fordyce   (3 citations)  (Correct)

.... will offer another automatic method of predicting abstract prosodic labels based on transformational rule based learning (TRBL) TRBL is currently used in the natural language processing community in a number of applications, such 3 as: part of speech tagging [17] prepositional phrase attachment [16], word segmentation [38] discourse processing [48] spelling correction [30] and partial parsing or chunking [43] 1 . There are four advantages to TRBL. First, it allows for automatic training. Second, the resulting model is easy to examine and can provide intuitions about the underlying ....

....the contemporary stochastic methods of part of speech classification, often with less data (64k words vs. 1M) TRBL has also been shown to have equivalent or greater success than other statistical or rule based algorithms in a number of diverse NLP tasks such as prepositional phrase attachment [16], partial parsing or chunking [43] dialogue act identification [48] word segmentation [38] and spell checking [30] TRBL has three basic requirements to define the system [17] an initial state annotator, a set of allowable questions and transformations, and a function for ranking potential ....

Brill, E. and Resnick, P.(1994). "A Rule-Based Approach to Prepositional Phrase Attachment Disambiguation." Proceedings of the Sixteenth International Conference on Computational Linguistics.


Comparing Two Trainable Grammatical Relations Finders - Yeh (2000)   (Correct)

....in Cats eat. there is a subject relation that has eat as the target and Cats as the source. ing. 2 Di#erences Between the Two Systems Ferro et al. 1999) and Buchholz et al. 1999) both describe learning systems to find GRs. The former (TR) uses transformation based error driven learning (Brill and Resnik, 1994) and the latter (MB) uses memory based learning (Daelemans et al. 1999) In addition, there are other di#erences. The TR system includes several types of information not used in the MB system (some because memory based systems have a harder time handling set valued attributes) possible ....

E. Brill and P. Resnik. 1994. A rule-based approach to prepositional phrase attachment disambiguation. In 15th International Conf.


A Statistical Model for Parsing and Word-Sense Disambiguation - Bikel (2000)   (1 citation)  (Correct)

.... size of computing machinery to accommodate larger models, the availability of resources such as the Penn Treebank (Marcus et al. 1993) and the success of machine learning techniques for lowerlevel NLP problems, such as part of speech tagging (Church, 1988; Brill, 1995) and PPattachment (Brill and Resnik, 1994; Collins and Brooks, 1995) However, perhaps even more signi cant has been the lexicalization of the grammar formalisms being probabilistically modeled: crucially, all the recent, successful statistical parsers have in some way made use of bilexical dependencies. This includes both the parsers ....

E. Brill and P. Resnik. 1994. A rulebased approach to prepositional phrase attachment disambiguation. In Fifteenth International Conference on Computational Linguistics (COLING-1994).


Using Existing Systems to Supplement Small Amounts of Annotated.. - Yeh (2000)   (2 citations)  (Correct)

....F scores increased to about 70 . An alternative to performing translations is to use the untranslated initial annotations as an additional type of input to the rule system. This alternative, which we have yet to try, has the advantage of tting into the transformation based error driven paradigm (Brill and Resnik, 1994) more cleanly than having a translation stage. However, this additional type of input will also further slowdown an already slow rule learning module. 2.2 Overall Results For our experiment, we use the same 1151 word (748 GR) test set used in Ferro et al. 1999) but for a training set, we use ....

E. Brill and P. Resnik. 1994. A rule-based approach to prepositional phrase attachment disambiguation. In 15th International Conf. on Computational Linguistics (COLING).


Machine Learning and Natural Language Processing - Marquez (2000)   (1 citation)  (Correct)

....step the rule that best repairs the current errors. Concrete rules are acquired by instantiation of a predefined set of template rules. This algorithm has been applied to a number of natural language problems, including part of speech tagging [21, 22, 23, 6, 186] PP attachment disambiguation [20], parsing [18] spelling correction [133] and word sense disambiguation [67] One major drawback of TBL is its computational cost since all instantiations of templates are tested at each iteration to find the best rule. Recently, Samuel [191] presented an efficient approximation called Lazy TBL ....

.... [181] Shallow Parsing [45, 1, 16, 212] 211] 7, 227, 33, 58] Parsing [12, 132, 92] 178] 210, 37, 36, 38] PP attachment disambiguation [180] 246] TBL NB NNs LSM EC Clause Boudaries [95] Shallow Parsing [18] 128, 129] 130] 223] Parsing [115, 43] 93] PP attachment disambiguation [20] [52] 125, 218] 107] 2] Table 2: References corresponding to syntactic analysis and structural ambiguity NLP problems DLs DTs NB TBL EM WSD [240, 150] 26, 150] 86, 150, 112] 67] 203, 166] Text categorization and filtering [117, 69, 230] 117, 190, 119, 142, 196] 162, 163] ....

E. Brill and P. Resnik. A Rule-Based Approach to Prepositional Phrase Attachment Disambiguation. In Proceedings of the 15th International Conference on Computational Linguistics, COLING, Kyoto, Japan, August 1994. http://www.cs.jhu.edu/brill/acadpubs.html.


ExtrAns, An Answer Extraction System - Molla, Schwitter, Hess, Fournier (2000)   (Correct)

....can be used as we will see later by the retrieval procedure. 1.4. Disambiguator ExtrAns pruner uses heuristic rules to filter out all those dependency structures that are obviously wrong in an ambiguous sentence. In a subsequent stage, ExtrAns disambiguator uses a corpus based approach (Brill E. Resnik P. 1994) to eliminate (some of) those ambiguities that require domain knowledge. Brill Resnik s original disambiguator was designed to solve prepositional attachment ambiguity of sentences with a transitive verb and a prepositional phrase (PP) The algorithm decides whether the PP should attach to the ....

BRILL, Eric ; RESNIK, Philip (1994) : "A rule-based approach to prepositional phrase attachment disambiguation", in Proc. COLING '94, pp. 998--1004, Kyoto, Japan.


Transformation-Based Bracketing: Fast Algorithms And Experimental .. - Vilain (1996)   (5 citations)  (Correct)

.... the size of the training data as learning progresses, such as is the case in decision tree induction (Quinlan 1986) Brill s work provides a proof of viability of transformation based techniques in the form of a number of processors, including a (widely distributed) part of speech tagger (Brill 1994, 1995) a procedure for prepositional phrase attachment (Brill Resnick 1994) and a bracketing parser (Brill 1993b) All of these provided performance comparable to or better than previous attempts. Transformation based learning has also been successfully applied to text chunking (Ramshaw ....

.... as is the case in decision tree induction (Quinlan 1986) Brill s work provides a proof of viability of transformation based techniques in the form of a number of processors, including a (widely distributed) part of speech tagger (Brill 1994, 1995) a procedure for prepositional phrase attachment (Brill Resnick 1994), and a bracketing parser (Brill 1993b) All of these provided performance comparable to or better than previous attempts. Transformation based learning has also been successfully applied to text chunking (Ramshaw Marcus 1995) morphological disambiguation (Oflazer Tur 1996 ) and phrase ....

Brill, e. & Resnick, p . (1994 ) "A rule-based approach to prepositional phrase attachment disambiguation". In Prcdgs. of the 15th Intl. Conference on Computational Linguistics (coling-94).


Dealing With Ambiguities in an Answer Extraction System - Molla, Hess (2000)   (1 citation)  (Correct)

....by the pruner would need modi cation. 3 Disambiguation based on corpus information There are certain types of ambiguity that cannot be solved with syntactic information only. This is generally the case with attachment ambiguity. ExtrAns disambiguator module uses Brill Resnik s algorithm [2] to solve attachment ambiguity. Brill Resnik s algorithm follows a corpusbased approach. In particular, the algorithm is trained with a corpus and creates a set of rules that can be used to resolve the attachment ambiguity in sentences with a transitive verb and a prepositional phrase (PP) The ....

....the disambiguator (the rst piece of information) is compared with the decision made in the linkage (the second piece of information, shown in boxes above) Those linkages that show a highest ratio of correct attachment decisions pass the lter, and the rest are rejected. The original algorithm [2] can also be used to cover other types of attachment ambiguity, provided that the training corpus o ers the data necessary to cover them. The following types of ambiguity have been incorporated: V N particle VP. I ran the program by typing run program by type V N particle ....

Eric Brill and Philip Resnik. A rule-based approach to prepositional phrase attachment disambiguation. In Proceedings of the 15th International Conference on Computational Linguistics (COLING '94), volume 2, pages 998-1004, Kyoto, Japan, 1994.


Using Co-Composition for Acquiring Syntactic and.. - Gamallo, Agustini, Lopes (2002)   (3 citations)  (Correct)

No context found.

Eric Brill and Philip Resnik. 1994. A rule-based approach to prepositional phrase attachment disambiguation.


Transformation Based Learning for Specialization of.. - Taffet, McCracken.. (2002)   (Correct)

No context found.

Brill, E., & Resnik, P. (1994). A rule-based approach to prepositional phrase attachment disambiguation. COLING 1994 . Available at: http://www.cs.jhu.edu/~brill/pp-attachment.ps


Evaluating State-of-the-Art Treebank-style Parsers for.. - Hempelmann, al. (2005)   (Correct)

No context found.

E. Brill and P. Resnik. 1994. A rule-based approach to prepositional phrase attachment disambiguation.


Using Co-Composition for Acquiring Syntactic and.. - Gamallo, Agustini, Lopes (2002)   (3 citations)  (Correct)

No context found.

Eric Brill and Philip Resnik. 1994. A rule-based approach to prepositional phrase attachment disambiguation.


A Shallow Parser Based on Closed-Class Words to Capture.. - Leroy, Chen, Martinez (2003)   (Correct)

No context found.

Brill E, Resnik P. A rule-based approach to prepositional phrase attachment disambiguation. In: COLING; 1994.


Automated English-to-Korean Translation for Enhanced . . . - Weinstein, al.   (Correct)

No context found.

E. Brill and P. Resnik, "A Rule-Based Approach to Prepositional Phrase Attachment Disambiguation," Proc. COLING1994, Kyoto, Japan, 5--9 Aug. 1994.


A Class-based Probabilistic approach to Structural Disambiguation - Clark, Weir (2000)   (Correct)

No context found.

Eric Brill and Philip Resnik. 1994. A rule-based approach to prepositional phrase attachment disambiguation. In Proceedings of the #fteenth International Conference on Computational Linguistics.


Error Driven Word Sense Disambiguation - Dini, Di Tomaso, Segond (1998)   (2 citations)  (Correct)

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E. Brill and P. Resnik. 1994. A rule-based approach to prepositional phrase attachment disambiguation. In Proceedings of COLING.


A Class-based Probabilistic approach to Structural Disambiguation - Clark, Weir (2000)   (Correct)

No context found.

Eric Brill and Philip Resnik. 1994. A rule-based approach to prepositional phrase attachment disambiguation. In Proceedings of the fifteenth International Conference on Computational Linguistics.


SDP - Spoken Dialogue Parser - McKelvie (1998)   (Correct)

No context found.

Brill, E. and Resnik,P. \A rule-based approach to prepositional phrase attachment ", Proceedings of the 15th Computational Linguistics conference (COLING) 1994, pp 1198-1204.

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