[PDF] Top 20 Learning Bilingual Word Embeddings Using Lexical Definitions
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Learning Bilingual Word Embeddings Using Lexical Definitions
... for bilingual word embedding ...of lexical definitions, which are clean lin- guistic knowledge that naturally connects word semantics within and across human ...cross-lingual ... See full document
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Learning principled bilingual mappings of word embeddings while preserving monolingual invariance
... learn word embeddings uses dot product, the objective to learn mappings uses Euclidean distance and the similarity computations use ...length-normalized embeddings is equivalent to optimizing the ... See full document
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Learning Bilingual Sentiment Specific Word Embeddings without Cross lingual Supervision
... To illustrate how UB I SE transfers sentiment in- formation from the source language to the target language, we visualize six categories of words in the bilingual space of UB I SE and BLSE using t-SNE ... See full document
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Learning Bilingual Sentiment Word Embeddings for Cross language Sentiment Classification
... embedding learning algorithms focus on capturing syntactic and semantic similarities across languages, but ignore sentiment informa- ...embedding learning algo- rithms have been developed for sentiment ... See full document
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Using bilingual word embeddings for multilingual collocation extraction
... language learning, it has been shown that even advanced learners need to know which word combinations are allowed in a specific linguistic variety (Altenberg and Granger, 2001; Alonso- Ramos et ... See full document
10
A Distribution based Model to Learn Bilingual Word Embeddings
... Learning word vector representations based on neural network is now a ubiquitous technique in natural language processing tasks and ...as word embeddings learned from raw ... See full document
10
Learning Sense specific Word Embeddings By Exploiting Bilingual Resources
... semantic definitions for each word in ...sense definitions in HowNet. (2) For each polysemous word, we select several other words to form word pairs with ...Each word pair is ... See full document
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Simple task specific bilingual word embeddings
... of learning bilingual word embeddings, i.e., word em- beddings such that similar words in two different languages end up close in the embedding ...Such bilingual word ... See full document
5
What Matters for Neural Cross Lingual Named Entity Recognition: An Empirical Analysis
... gual embeddings (Ni et ...multi-source learning (Mayhew et ...the word and phrase level via applica- tion of bilingual ...dictionaries. Bilingual embed- dings are a form of ... See full document
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Bilingual Embeddings and Word Alignments for Translation Quality Estimation
... including lexical, syntactic, semantic, embedding- based features (Shah et ...of bilingual distributed representations combined with word alignment in- formation to boost the performance of transla- ... See full document
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Lexical Comparison Between Wikipedia and Twitter Corpora by Using Word Embeddings
... of word usage within social media. In this paper, we compute a word embedding for a corpus of tweets, compar- ing it to a word embedding for ...After learning a transformation of one vec- tor ... See full document
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Beyond Bilingual: Multi sense Word Embeddings using Multilingual Context
... Word embeddings, which represent a word as a point in a vector space, have become ubiquitous to several NLP ...uses bilingual (two lan- guages) corpora to learn a different vec- tor for each ... See full document
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A Multi task Learning Approach to Adapting Bilingual Word Embeddings for Cross lingual Named Entity Recognition
... multi-task learning approach can help adapt bilingual word embeddings (BWE’s) to improve cross-lingual ...of using pre-trained ...a bilingual dictio- nary is not available in ... See full document
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Temporal Word Analogies: Identifying Lexical Replacement with Diachronic Word Embeddings
... of word meanings over time using diachronic text corpora is a relatively niche subject with little commercial applicability, it has recently gained attention in the broader compu- tational linguistics ... See full document
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Learning to Respond to Mixed code Queries using Bilingual Word Embeddings
... a word aligns to consecutive multiple ...the word segmentation and realign, in order to derive more 1-1 correspon- ...Chinese word (e.g., “power plant” → “ 發 電 廠 ”) into two pairs of 1-1 word ... See full document
5
On the Role of Seed Lexicons in Learning Bilingual Word Embeddings
... a bilingual signal, (P2) use as inexpensive bilingual signal as possible in order to learn a SBWES in a scalable and widely applicable manner across languages and ...induced using any monolingual WE ... See full document
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Dict2vec : Learning Word Embeddings using Lexical Dictionaries
... the embeddings to the external corpus used. Moreover, lexical databases contain less information than dictionaries (117k entries in WordNet, 200k in a dictionary) and less accurate content (some different ... See full document
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Learning bilingual word embeddings with (almost) no bilingual data
... For the remaining errors, all systems tend to propose translations that have some degree of re- lationship with the correct ones, including near- synonyms (e.g. guidelines → raccomandazioni), antonyms (e.g. sender → ... See full document
12
Learning Crosslingual Word Embeddings without Bilingual Corpora
... crosslingual embeddings should preserve both monolingual and crosslingual quality which we will use as the main evaluation criterion through mono- lingual word similarity and bilingual lexicon induc- ... See full document
11
Using Word Embeddings for Bilingual Unsupervised WSD
... semi-supervised and unsupervised. Supervised WSD approaches (Lee et al., 2004; Ng and Lee, 1996) always perform better because of the avail- ability of the sense-annotated data. However, the cost of creation of the ... See full document
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