[PDF] Top 20 Language Modeling with Sentence Level Mixtures
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Language Modeling with Sentence Level Mixtures
... Language Modeling with Sentence Level Mixtures Language Modeling with Sentence Level Mixtures Rukmini lyer t Mari Ostendorflf J Robin Rohlicek~ B o s t o n U n i v e r s i t y ~ B B N I n c B o s t o[.] ... See full document
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Can You Tell Me How to Get Past Sesame Street? Sentence Level Pretraining Beyond Language Modeling
... reusable sentence en- coders on 19 different pretraining tasks and task combinations and several simple baselines, us- ing a standardized model architecture and proce- dure for ...target ... See full document
12
Cross Domain Modeling of Sentence Level Evidence for Document Retrieval
... relevance modeling on newswire ...to language model pre-training; it alone cannot directly help the downstream docu- ment retrieval task, but it provides a better repre- sentation that can benefit from MB ... See full document
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Using Sentence Level LSTM Language Models for Script Inference
... that modeling and inferring more complex multi-argument events also yields supe- rior performance on the task of inferring simpler (verb, dependency) pair ... See full document
11
On Tree Based Neural Sentence Modeling
... Natural Language Inference (NLI). The Stan- ford Natural Language Inference (SNLI) Corpus (Bowman et ...for sentence-level textual entailment. It has 550K training sentence pairs, as ... See full document
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Detecting Code Switching between Turkish English Language Pair
... (2011) their candidate word (solution) generation stage comes after an initial ill-formed word detec- tion stage where they use a Turkish morphologi- cal analyzer as the language validator. Although this approach ... See full document
6
Online Full Text
... classical modeling approach can improve the situation up to a proper extent but it is not enough, because the process is usually variable and ...different level of abstractions for ...higher level, ... See full document
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Dependency Language Models for Sentence Completion
... The dependency trees of the two sentences are very similar, with only the grammatical relations be- tween ate and its arguments differing. The unla- belled dependency language model will assign the same ... See full document
6
ParGramBank: The ParGram Parallel Treebank
... Another challenge to parallelism comes from co- pula constructions. An approach advocating a uni- form treatment of copulas crosslinguistically was advocated in the early years of ParGram (Butt et al., 1999b), but this ... See full document
11
Improved Sentence Level Arabic Dialect Classification
... document-level language classification, recent work on handling Arabic dialect data addresses the problem of sentence-level classification (Zaidan and Callison- Burch, 2011; Zaidan and ... See full document
10
Reading Level 2:
... RAF5 – To explain and comment on writers’ use of language, including grammatical and literary features at word and sentence level.. RAF6 – To identify and comment on the writer’[r] ... See full document
13
Extracting Data Records from Unstructured Biomedical Full Text
... Given the problem of identifying one or more records in free text, it is natural to turn toward text segmentation. The Natural Language Processing (NLP) community has come up with various solutions towards ... See full document
10
Automatic language identity tagging on word and sentence-level in multilingual text sources: a case-study on Luxembourgish
... or language models needed for natural language processing tasks such as automatic speech recognition, language used in text corpora should be ...mixed language sentences as well as the tools ... See full document
5
Sentence Level Dialect Identification in Arabic
... Arabic language exists in a state of Diglos- sia (Ferguson, 1959) where the standard form of the language, Modern Standard Arabic (MSA) and the regional dialects (DA) live side-by-side and are closely ... See full document
6
Splitting Input Sentence for Machine Translation Using Language Model with Sentence Similarity
... We investigated the splitting method using MT systems in English-to-Japanese translation, to de- termine what effect the method had on transla- tion. We used two different EBMT systems as test beds. One of the systems ... See full document
7
Moving TIGER beyond Sentence Level
... a sentence from one article was copied acciden- tally into another article, while others reflect peculiarities of the newspaper, such as collection articles, where a set of in- dependent newsflashes is combined ... See full document
8
Graph and surface level sentence chunking
... The computing cost of many NLP tasks in- creases faster than linearly with the length of the representation of a sentence. For parsing the representation is tokens, while for operations on syntax and semantics it ... See full document
7
Self Attentive Residual Decoder for Neural Machine Translation
... Several studies have been proposed to enhance sequential models by capturing longer contexts. Long short-term memory (LSTM) (Hochreiter and Schmidhuber, 1997) is the most commonly used recurrent neural network (RNN), ... See full document
14
Sentence level Rewriting Detection
... higher level than words, motivated by a long term goal to build educational applications to support revision analysis for ...higher level revision op- ... See full document
6
Language Independent Sentence-Level Subjectivity Analysis with Feature Selection
... at sentence-level in other languages has ...achieve sentence-level subjectivity classification us- ing language independent feature weighing and selection methods which are consistent ... See full document
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