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A Report on the Complex Word Identification Shared Task 2018
... Intelligence Task) and requested them to highlight words or phrases that could pose difficulty in understanding the ...the complex word or phrase (CP) ...5) Complex words are not ... See full document
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IEST: WASSA 2018 Implicit Emotions Shared Task
... to report on events when they felt a specific prede- fined ...emotion word itself, though one might argue that the words “child” and “born” have a positive prior ... See full document
12
Complex Word Identification as a Sequence Labelling Task
... of word con- text, embeddings and character-level ...with word- complexity ratings by human annotators, they are able to improve the scores of the winning CWI system from the 2016 shared task ... See full document
6
Word level Language Identification using CRF: Code switching Shared Task Report of MSR India System
... This is demonstrated by the fact that the sys- tem performs more or less consistently with accu- racies ranging from 80% - 95% across four lan- guage pairs (except for the case of Ar-Ar second test set and the surprise ... See full document
7
A Report on the 2018 VUA Metaphor Detection Shared Task
... We use the VU Amsterdam Metaphor Corpus (VUA) (Steen et al., 2010) as the dataset for our shared task. The dataset consists of 117 fragments sampled across four genres from the British Na- tional Corpus: ... See full document
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CWIG3G2 Complex Word Identification Task across Three Text Genres and Two User Groups
... one word within a given sentence as complex or ...target word was annotated by 20 people, whilst in the test set (9,000 sentences) each target word was annotated by a single annotator from a ... See full document
7
Learning Outside the Box: Discourse level Features Improve Metaphor Identification
... metaphor identification shared task (Leong et al., 2018), neural approaches dominated, with most teams using LSTMs trained on word embeddings and additional linguistic features, such as ... See full document
6
RiTUAL UH at TRAC 2018 Shared Task: Aggression Identification
... On manual inspection of the training data for Hindi, we found that some of the instances are Hindi- English code-mixed, some use Roman script for Hindi and others are in Devanagari. Only 26% of the training data is in ... See full document
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A Report on the First Native Language Identification Shared Task
... downloaded from the NLI Shared Task website. 1 To date, nearly all approaches have treated the task of NLI as a supervised classification problem where statistical models are trained on data from the ... See full document
10
Findings of the WMT 2018 Shared Task on Quality Estimation
... the word level using a fine-grained error taxonomy – Multidimensional Quality Metrics (MQM) (Lom- mel et ...the identification of an error and its classification according to this typology (by applying a ... See full document
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A Report on the 2017 Native Language Identification Shared Task
... character, word and lemma n-grams, while syntactic fea- tures are based on constituent parse trees, depen- dency parse features and part-of-speech ...this report, a comprehen- sive exposition of NLI ... See full document
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Keep It or Not: Word Level Quality Estimation for Post Editing
... WMT 2018 shared task on word level quality estimation (QE task2) on English–German SMT ...The task of word level QE is treated as a binary clas- sification problem — ...a ... See full document
6
CAMB at CWI Shared Task 2018: Complex Word Identification with Ensemble Based Voting
... of complex technical terms can have se- rious practical consequences (Dubay, ...plex Word Identification (CWI) is concerned with automated identification of words that might present challenge ... See full document
11
SB@GU at the Complex Word Identification 2018 Shared Task
... The task of identifying complex words consists of automatically detecting lexical items that might be hard to understand for a certain ...these complex words by simpler equivalents to increase the ... See full document
7
LaSTUS/TALN at Complex Word Identification (CWI) 2018 Shared Task
... The identification of complex words constitutes a key aspect of Text Simplification (Saggion, 2017) and more specifically of Lexical Simplifi- cation (Bott et ...changing complex words by their ... See full document
7
Deep Learning Architecture for Complex Word Identification
... SemEval-2016 shared task on complex word identification (described in detail in Paetzold and Specia, 2016a) was the first evaluation cam- paign which provided a gold-standard dataset as ... See full document
7
A Neural Graph based Approach to Verbal MWE Identification
... MWE identification includes transition- based (Constant and Nivre, 2016; Al Saied et ...al., 2018; Stodden et al., 2018) and graph-based (Waszczuk, 2018; Boros¸ and Burtica, 2018) ap- ... See full document
11
PROMT Systems for WMT 2018 Shared Translation Task
... Similar to (Pinnis et al., 2017), we again roughly double our parallel data by creating a synthetic parallel corpus using the following steps: first, we perform word-alignment of our initial parallel training ... See full document
5
A Report on the DSL Shared Task 2014
... to report regarding the organization of the shared task nor with the com- pilation of the DSL corpus collection apart from some issues in the Group F ...the shared task observed very ... See full document
10
Experiments on Morphological Reinflection: CoNLL 2018 Shared Task
... Akin to machine translation systems, this sys- tem uses an encoder-decoder LSTM model as pro- posed by (Hochreiter and Schmidhuber, 1997). The encoder is a bidirectional LSTM, while the decoder LSTM feeds into a softmax ... See full document
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