[PDF] Top 20 Identification of Multi word Expressions by Combining Multiple Linguistic Information Sources

... Because of their prevalence and irregularity, MWEs must be stored in lexicons of natural lan- guage processing applications. Correct handling of MWEs has been proven beneficial for various ap- plications, including ... See full document

... of Multi-Word Expressions (MWEs) lies at the heart of many natural language processing ...on linguistic and statistical ...common linguistic and statistical feature sets and that ... See full document

... We focus on bigrams only in this work, that is, on MWEs consisting of two consec- utive tokens. Many of the features we design, as well as the general architecture, can in principle be extended to longer MWEs, but we do ... See full document

... boundary identification, POS tagging and the morphological analysis, the identi- fication of acronyms and abbreviations that have dots associated with them, is carried out using a rule ... See full document

... Multi-word expressions (MWEs) are structures that cross word boundaries and thus present challenges to a variety of NLP tasks such as syntactic analysis and machine translation, ...and ... See full document

... Such contexts typically contain a set of semantically related terms, usually with one term representing a superordinate (parent) concept (e.g. regional fishing organisation) and one or several other terms representing ... See full document

... MWE identification and for distinguishing between MWEs and other frequent collocations, it is not clear which measure would perform best in our unique scenario, where candi- dates are produced by word ...of ... See full document

... Best MWE Detection This MWE detection strat- egy was called Pattern/Semcor by Arranz, and we also implemented this strategy in four stages. The first and second stages were the same as the Baseline strategy, namely, ... See full document

... and identification of multi-word expressions, and cast the task as a multi-task learning problem with deep recurrent neural ...Our multi-task models perform significantly better ... See full document

... verb-noun Multi-Word Expression (MWE) is a combination of a verb and a noun with or without other words, in which the combination has a meaning different from the meaning of the words considered ... See full document

... This study aims to explore approaches that can in- tegrate multimodal information to discover implicit semantics from conversation archives. As our goal is to identify multimodal cues of segmentation in ... See full document

... identify word boundaries in continu- ous speech by combining multiple cues; exist- ing state-of-the-art models, though, look at a single ...treats identification of word boundaries and ... See full document

... In recent years, a number of techniques have been ap- plied to the task of bilingual MWE S extraction from par- allel corpora. Most works start by identifying monolingual MWE candidates then, apply different alignment ... See full document

... the identification - and subsequent prioritisation or dismissal of exhibits - has come about with the introduction of forensic triage (Garfinkel, 2010); forensic triage attempts to reduce the number of exhibits, ... See full document

... of word skipping was provided by the different variants of the attentional theory of eye guidance in reading (Morrison, 1984; Pollatsek and Rayner, 1990; Henderson and Ferreira, 1990; see also Chapter 1 I for the ... See full document

... We got better results when we use MWEs only in the target side. This is likely because learners tend to fail to write MWEs correctly, only writing them in partial forms. One cause of deterioration of precision is that a ... See full document

... GENERATING REFERRING EXPRESSIONS USING MULTIPLE KNOWLEDGE SOURCES G E N E R A T I N G R E F E R R I N G E X P R E S S I O N S U S I N G M U L T I P L E K N O W L E D G E S O U R C E S Russell Block Un[.] ... See full document

... standard word-based attention-based NMT system and a strong character-based NMT system; (2) in- corporating source character information into the decoder by our multi-scale attention mechanism yields ... See full document

... To discriminate senses, an understander can consider a diversity of information, including syntactic tags, word frequencies, collocations, semantic context, role-related expectations, an[r] ... See full document

... the linguistic description: if we wish to keep the number of equivalence classes reasonably low, idiosyn- cratic properties common to several MWE entries have to be repeated in each of ... See full document