[PDF] Top 20 Learning Paraphrasing for Multiword Expressions

... a learning-to-rank algorithm to re-rank paraphrase ...machine learning methods for the learning-to-ranking approach, such as pointwise, pairwise and listwise ...different learning-to- rank ... See full document

... 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

... 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

... Figure 3b shows the schematic of this model. We optimize this objective using stochastic gradi- ent descent with early stopping. The results are shown in Table 2. We choose the first 300K fre- quent noun-noun compounds ... See full document

... 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

... 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

... 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

... 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

... 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

... 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

... 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

... Multiword Expressions (MWEs) are combina- tions of two or more lexical components that form non/semi-compositional meaning ...machine learning approaches including supervised classifi- cation (Diab ... See full document

... 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

... 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

... 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

... In order to extract information about fixed MWEs from a corpus, we use a three stage process. In the first stage we identify a list of candidate MWEs based on the statistical behaviour of the tokens in the corpus. Two ... See full document

... This work looks at a temporal aspect of multiword expressions (MWEs), namely that the behaviour of a given n-gram and its status as a MWE change over time. We propose a model in which context words have ... See full document

... 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

... verbal expressions in German, and also by Gr´egoire (2010), who bases his work on the Equivalence Class Method (ECM, (Odijk, 2004)) as- suming that MWEs may be clustered according to their syntactic pattern and ... See full document

... When we made a closer examination of the error MWEs in this frequency range, we found that some frequent domain-specific terms are misclassified by the USAS tagger. For example, since the texts in the test corpus are ... See full document