[PDF] Top 20 Never Ending Multiword Expressions Learning
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Never Ending Multiword Expressions Learning
... Pecina (2008) proposes a logistic regression clas- sifier which uses as features a set of 84 differ- ent lexical association measures. Ramisch et al. (2008) use decision trees for classifying MWEs based on standard ... See full document
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Multiword Expressions in Statistical Dependency Parsing
... We are using MaltParser v1.5.1 (Nivre et al., 2007) which is a data-driven dependency parser whose success is reported to be very high across a vari- ety of different languages (Nivre et al., 2006). For the repeatability ... See full document
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Learning Semantic Composition to Detect Non compositionality of Multiword Expressions
... representation learning of word ...of learning non-compositional phrases by calculating a data-driven score for cer- tain frequent phrases (up to size two) and learn them as a ... See full document
10
Proceedings of the 11th Workshop on Multiword Expressions
... MWEs include idioms (storm in a teacup, sweep under the rug), fixed phrases (in vitro, by and large), noun compounds (olive oil, laser printer), compound verbs (take a nap, bring about), among others. These, while easily ... See full document
12
Automatic Extraction of Fixed Multiword Expressions
... Fixed multiword expressions are strings of words which to- gether behave like a single ...candidate expressions in a corpus, together with their surrounding ...machine learning, re- sulting in ... See full document
11
Identification of Multiword Expressions in the brWaC
... As a case study of the quality of the resulting corpus in this paper brWaC is used as basis for the identifica- tion of MWEs like noun compounds (general practitioner) and multiword terminology (artificial ... See full document
8
Multiword Expressions in Child Language
... As MWEs can be lexically, syntactically, semantically, pragmatically and/or statistically idiosyncratic, they may be more challenging in terms of learning and require more than knowledge about single words and ... See full document
5
Extraction of Nominal Multiword Expressions in French
... al., 2010b) generates training instances by first ex- tracting candidates that fit a certain part-of-speech pattern, such as Noun-Noun or Noun-Adjective, and then marking the candidates as positive or negative instances ... See full document
5
Building an Arabic Multiword Expressions Repository
... One of our immediate intentions is to use the list of MWEs for learning how to statistically classify new ones in running text. Therefore, we begin here with annotating a large part of the AGW corpus with all the ... See full document
6
Phrase Representations for Multiword Expressions
... on learning dense word repre- sentations to perform classification ...of multiword expression (MWE) tagging and show that our model outperforms the state- of-the-art model for this ... See full document
5
Proceedings of the 9th Workshop on Multiword Expressions
... MWEs include idioms (storm in a teacup, sweep under the rug), fixed phrases (in vitro, by and large, rock’n roll), noun compounds (olive oil, laser printer), compound verbs (take a nap, bring about), among others. These, ... See full document
12
Cross lingual Transfer Learning and Multitask Learning for Capturing Multiword Expressions
... transfer learning has been extensively ex- plored in the context of representation learning where monolingual spaces are mapped into a com- mon embedding space through methods like retro- fitting (Faruqui ... See full document
7
Unsupervised Compositional Translation of Multiword Expressions
... Additionally, we also included UNdreaMT in the evaluation. UNdreaMT is a recent neural machine translation system which uses monolin- gual corpora and cross-lingual word embeddings to learn translation models in an ... See full document
9
Learning Paraphrasing for Multiword Expressions
... As evaluation metrics, precision, recall, and F- score are used for the first setup. For the sec- ond setup we use P@1, Mean Average Precision (MAP), and Normalized Discounted Cumulative Gain (NDCG). P@1 measures the ... See full document
10
Towards Never Ending Language Learning for Morphologically Rich Languages
... common expressions for semantic re- lations in text have a specific form: the word or- der is less reliable than for Germanic or Romance languages; the morphological properties of words are more ...ontology ... See full document
11
Proceedings of the 12th Workshop on Multiword Expressions
... MWEs include idioms (storm in a teacup, sweep under the rug), fixed phrases (in vitro, by and large), noun compounds (olive oil, laser printer), compound verbs (take a nap, bring about), among others. These, while easily ... See full document
12
Extracting and Classifying Urdu Multiword Expressions
... The extracted MWE s are integrated into the Urdu ParGram grammar (Butt and King, 2007; B¨ogel et al., 2007; B¨ogel et al., 2009), a computational gram- mar for Urdu running with XLE (Crouch et al., 2010) and based on the ... See full document
6
Towards an Empirical Subcategorization of Multiword Expressions
... the expressions on ...how expressions exhibit different restrictions depending on their subcate- ...gory. Multiword units are characterized by low values of interruptibility and low values of substi- ... See full document
5
Promoting multiword expressions in A* TAG parsing
... Multiword expressions (MWEs), e.g. by and large, red tape, and to pull one’s socks up ’to correct one’s work or behavior’, are linguistic objects containing two or more words and showing idiosyncratic ... See full document
11
Modeling the Statistical Idiosyncrasy of Multiword Expressions
... bilingual multiword expressions. In Proceedings of the Workshop on Multiword Expres- sions: Identification, Interpretation, Disambiguation and Applications, pages ... See full document
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