Results 1 to 10 of about 35,768 (222)
Novel semantic features for verb sense disambiguation [PDF]
Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies Short Papers - HLT '08, 2008 We propose a novel method for extracting semantic information about a verb's arguments and apply it to Verb Sense Disambiguation (VSD). We contrast this method with two popular approaches to retrieving this information and show that it improves the performance of our VSD system and outperforms the other two ...
Dmitriy Dligach, Martha Palmer
openaire +2 more sources
Transducer Disambiguation with Sparse Topological Features [PDF]
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015 We describe a simple and efficient algorithm to disambiguate non-functional weighted finite state transducers (WFSTs), i.e. to generate a new WFST that contains a unique, best-scoring path for each hypothesis in the input labels along with the best output labels.
Gonzalo Iglesias +2 more
openaire +2 more sources
Combining contextual features for word sense disambiguation [PDF]
Proceedings of the ACL-02 workshop on Word sense disambiguation recent successes and future directions -, 2002 In this paper we present a maximum entropy Word Sense Disambiguation system we developed which performs competitively on SENSEVAL-2 test data for English verbs. We demonstrate that using richer linguistic contextual features significantly improves tagging accuracy, and compare the system's performance with human annotator performance in light of both ...
Hoa Trang Dang, Martha Palmer
openaire +3 more sources
Disambiguation of preposition sense using linguistically motivated features [PDF]
Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Student Research Workshop and Doctoral Consortium on - NAACL '09, 2009 In this paper, we present a supervised classification approach for disambiguation of preposition senses. We use the SemEval 2007 Preposition Sense Disambiguation datasets to evaluate our system and compare its results to those of the systems participating in the workshop.
Tratz, Stephen, Hovy, Dirk
openaire +4 more sources
Using treebanking discriminants as parse disambiguation features [PDF]
Proceedings of the 11th International Conference on Parsing Technologies - IWPT '09, 2009 This paper presents a novel approach of incorporating fine-grained treebanking decisions made by human annotators as discriminative features for automatic parse disambiguation. To our best knowledge, this is the first work that exploits treebanking decisions for this task. The advantage of this approach is that use of human judgements is made.
Md. Faisal Mahbub Chowdhury +2 more
openaire +3 more sources
Features for Author Disambiguation
The Journal of the Korea Contents Association, 2008 There exists a many-to-many mapping relationship between persons and their names. A person may have multiple names, and different persons may share the same name. These synonymous and homonymous names may severely deteriorate the recall and precision of the person search, respectively.
In-Su Kang +7 more
openaire +3 more sources
Simple features for Chinese word sense disambiguation [PDF]
Proceedings of the 19th international conference on Computational linguistics -, 2002 In this paper we report on our experiments on automatic Word Sense Disambiguation using a maximum entropy approach for both English and Chinese verbs. We compare the difficulty of the sense-tagging tasks in the two languages and investigate the types of contextual features that are useful for each language.
Hoa Trang Dang +3 more
openaire +2 more sources
Syntactic features for high precision word sense disambiguation [PDF]
Proceedings of the 19th international conference on Computational linguistics -, 2002 This paper explores the contribution of a broad range of syntactic features to WSD: grammatical relations coded as the presence of adjuncts/arguments in isolation or as subcategorization frames, and instantiated grammatical relations between words. We have tested the performance of syntactic features using two different ML algorithms (Decision Lists ...
David Martínez +2 more
openaire +3 more sources
Acoustic Word Disambiguation with Phonogical Features in Danish ASR [PDF]
Proceedings of the Fifteenth Workshop on Computational Research in Phonetics, Phonology, and Morphology, 2018 Phonological features can indicate word class and we can use word class information to disambiguate both homophones and homographs in automatic speech recognition (ASR). We show Danish stod can be predicted from speech and used to improve ASR. We discover which acoustic features contain the signal of stod, how to use these features to predict stod and ...
Andreas Søeborg Kirkedal
openaire +2 more sources
Effective Features For Disambiguation Of Turkish Verbs
, 2007 This paper summarizes the results of some experiments for finding the effective features for disambiguation of Turkish verbs. Word sense disambiguation is a current area of investigation in which verbs have the dominant role. Generally verbs have more senses than the other types of words in the average and detecting these features for verbs may lead to
Orhan, Zeynep, Altan, Zeynep
openaire +2 more sources