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A Shallow Discourse Parsing System Based On Maximum Entropy Model
... Suzan Verberne, Lou Boves, Nelleke Oostdijk, and Peter-Arno Coppen. 2007. Evaluating discourse- based answer extraction for why-question answer- ing. In Proceedings of the 30th annual international ACM ... See full document
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Shallow Discourse Parsing Using Constituent Parsing Tree
... Maximum Entropy classifier has shown good performance in various previous works (Wang et ...2008). Based on these features, we trained a Maximum Entropy ... See full document
5
The Virginia Tech System at CoNLL 2016 Shared Task on Shallow Discourse Parsing
... In line with prior work (Wang and Lan, 2015), we consider PS to be the sentence that immedi- ately precedes the connective. About 10% of ex- plicit discourse relations have Arg1 occurring in a sentence that does ... See full document
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A Lucene and Maximum Entropy Model Based Hedge Detection System
... Viola Ganter and Michael Strube. 2009. Finding hedges by chasing weasels: Hedge detection using Wikipedia tags and shallow linguistic features. In Proceedings of the ACL-IJCNLP 2009 Conference Short Papers, pages ... See full document
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A Joint Syntactic and Semantic Dependency Parsing System based on Maximum Entropy Models
... for maximum span- ning trees (MST) over directed ...Our system employs the first-order frame- work with projective and non-projective modes on seven given ... See full document
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A Minimalist Approach to Shallow Discourse Parsing and Implicit Relation Recognition
... our system: A rule-based component identifies explicit and im- plicit argument-pairs and two statistical, data- driven models classify ...Our system suf- fers from the surface-based definition ... See full document
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CoNLL 2016 Shared Task on Multilingual Shallow Discourse Parsing
... plicit discourse connectives. For explicit re- lations, the discourse connective itself is the best predictor of the discourse ...Many discourse connectives are unambiguous, al- ways mapping ... See full document
19
A Unified Framework for Discourse Argument Identification via Shallow Semantic Parsing
... our system with GS_noEP(Gold Standard parsers without Error Propagation), GS_EP and Auto(Automatic parsers)_EP ...the system on three main tasks: (1) argument detection, (2)independently classifying phase ... See full document
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SDP JAIST: A Shallow Discourse Parsing system @ CoNLL 2016 Shared Task
... ing shallow discourse relations in ...the system will de- tect the connective words and both of ar- guments by performing the Conditional Random Fields (CRFs) learning algorithm with models that are ... See full document
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Shallow Discourse Parsing Using Convolutional Neural Network
... In CoNLL-2015, various approaches were ex- plored to conquer the sense classification problem, which is a straightforward multi-category classi- fication task (Okita et al., 2015; Wang and Lan, 2015; Chiarcos and Schenk, ... See full document
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Applying Maximum Entropy to Robust Chinese Shallow Parsing
... our system needs to be improved for chunking longer ...the shallow parsing system can deal with unknown nouns, it has difficulty dealing with other kinds of noisy ...of shallow ... See full document
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Memory-Based Shallow Parsing
... for parsing noun phrases outlined in the previous section can be used for generating parse trees containing phrases of arbitrary phrases as ...parser based on a chunker with an additional bottom-up process ... See full document
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A Maximum Entropy based Word Sense Disambiguation System
... Coling2002MxEcr2 dvi A Maximum Entropy based Word Sense Disambiguation system? Armando Su?arez Manuel Palomar Departamento de Lenguajes y Sistemas Inform?aticos Universidad de Alicante Apartado de cor[.] ... See full document
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Memory Based Shallow Parsing
... We also extensively compared our approach to a recently proposed new memory-based learning al- gorithm, memory-based sequence learning MBSL, [Argamon et al., 1998] and showed that MBL, w[r] ... See full document
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The CoNLL 2015 Shared Task on Shallow Discourse Parsing
... low Discourse Parsing, a task focusing on identifying individual discourse relations that are present in a natural language ...A discourse relation can be expressed ex- plicitly or implicitly, ... See full document
16
Shallow Discourse Parsing with Syntactic and (a Few) Semantic Features
... non-explicit discourse relations as described in section ...our system, we used additional heuristics observed from manual observations of incorrect ... See full document
5
A radiative-convective model based on constrained maximum entropy production
... our model does not represent all those ...the model so we will focus on the comparison between the constrained and unconstrained models using the same radiative ... See full document
14
Text level Discourse Dependency Parsing
... tions evaluated on 21 documents from RST-DT; (4) Marcu denotes the results given by Mar- cu(2000)’s decision-tree based parser which used 15 relations evaluated on unspecified documents. Table 7 shows the ... See full document
11
Forest Reranking through Subtree Ranking
... Our method is closely related to the work of Huang (2008), who introduced forest-based reranking for phrase structure parsing. The proposed frame- work can be regarded as an extension of this ap- proach. It ... See full document
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Maximum Entropy Translation Model in Dependency Based MT Framework
... For a given pair of aligned nodes, the feature vector was of course derived only from the source- side node or from the tree which it belongs to. As already mentioned in the introduction, the advan- tage of the ... See full document
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