[PDF] Top 20 Using ‘Low-cost’ Learning Features for Pronoun Resolution
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Using ‘Low-cost’ Learning Features for Pronoun Resolution
... computational resolution of anaphoric expressions lies at the heart of a variety of NLP applications, including text understanding, Machine Translation, text summarization and many ...anaphora resolution ... See full document
7
Employing the Centering Theory in Pronoun Resolution from the Semantic Perspective
... basic features, as described in Soon et al ...centering-motivated features (from the semantic perspective) significantly improve the F-measure by ...in pronoun resolution via ... See full document
10
Utilizing Features of Verbs in Statistical Zero Pronoun Resolution for Japanese Speech
... anaphora resolution and this has been the subject of many studies, including work on zero anaphora resolution (Isozaki and Hirao, 2003; Iida et ...machine learning to achieve good levels of ...of ... See full document
8
Improving Pronoun Resolution Using Statistics Based Semantic Compatibility Information
... computational cost but with high reliability. Table 1 summarizes the features with their respective possi- ble ...three features represent the lex- ical properties of a ... See full document
8
Japanese Zero Pronoun Resolution based on Ranking Rules and Machine Learning
... ful features by feature elimination. Since features are not completely independent, removing a heav- ily weighted feature does not necessarily degrade the system’s ...new features (Par- allel, ... See full document
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Learning Global Features for Coreference Resolution
... cluster-level features by con- catenating the mention-level features of a cluster’s constituent mentions in order of the mentions’ ap- pearance in the ...a pronoun, and a ...catenated features ... See full document
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Article Occupancy prediction using low-cost and low-resolution heat sensors for smart offices
... Training features extracted from heat sensor images of the office space when it is in three different ...points: features of the empty office recordings, Orange data points: features of the office ... See full document
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Optimizing Algorithms for Pronoun Resolution
... Machine Learning approaches (Soon et ...tree learning 4 ; we used ...the pronoun serve as negative ...(2001)’s features apply to pronominal anaphora: Sentence Recency, and NP Form (with ... See full document
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Gendered Pronoun Resolution using BERT and an Extractive Question Answering Formulation
... ing rate warmup over the first 10% of total train- ing steps, and linear decay of the learning rate. The maximum sequence length is set to 300 and batch size of 12 is used during training. We use BERT Large ... See full document
8
Multigraph Clustering for Unsupervised Coreference Resolution
... inaccurate resolution of highly ambiguous pronouns such as it and missing links between nominals with dif- ferent ...these features efficently may require a more sophisticated clustering ...machine ... See full document
8
Deep Reinforcement Learning for Chinese Zero Pronoun Resolution
... machine learning models for Chinese zero pronoun resolution have been ...zero pronoun resolver by using syntactical and positional fea- ...machine learning tech- niques are ... See full document
10
Bootstrapping Path Based Pronoun Resolution
... be- low a certain cutoff; the terminals are highly un- likely to ...gain using path ...by learning when coreference should be blocked, given any consistent parse of the ... See full document
8
A Machine Learning Approach to Pronoun Resolution in Spoken Dialogue
... these features did not show up in the final models since they did not lead to an ...these features, the major problem for a spoken dia- logue pronoun resolution algorithm is the abundance of ... See full document
8
A Machine Learning Approach to German Pronoun Resolution
... After classification, one non-pronominal an- tecedent has to be found for each pronoun. As BoosTexter assigns confidence weights to its pre- dictions, we have a choice between selecting the antecedent closest to ... See full document
6
An Expectation Maximization Approach to Pronoun Resolution
... As was stated in Section 3.4, sentences with quo- tations were excluded from the learning process be- cause the presence of a correct antecedent in the can- didate list was less frequent in these cases. This is ... See full document
8
EM Works for Pronoun Anaphora Resolution
... We present a new system for resolving (per- sonal) pronoun anaphora 1 . We believe it is of interest for two reasons. First, virtually all of its parameters are learned via the expectation- maximization algorithm ... See full document
9
Improving Pronoun Translation by Modeling Coreference Uncertainty
... system using the Coreference Model is closer to the reference, in terms of pronouns, than the Base- line and the Post-editing ...indefinite pronoun “on” may replace the third person plural pronouns “ils” or ... See full document
9
Chinese Zero Pronoun Resolution: A Joint Unsupervised Discourse Aware Model Rivaling State of the Art Resolvers
... where C is the set of candidate antecedents of z . If we resolve a ZP to a preceding NP c, we fill its gap with c . Hence, when we process a ZP z , all of its preceding AZPs in the associated text have already been ... See full document
7
Aiding Pronoun Translation with Co Reference Resolution
... done using the Python programming lan- guage, which was chosen for its simplicity in pro- cessing text files and because it is the language in which the Natural Language Toolkit is ... See full document
10
A Computational Model of Human Preferences for Pronoun Resolution
... of pronoun resolution that repro- duces the human interpretation prefer- ences of the Subject Assignment Strat- egy and the Parallel Function ...noun resolution system trained on corpus data. Factors ... See full document
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