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Found 17 papers, 1 papers with code
About Evaluating Bilingual Lexicon Induction
With numerous new methods proposed recently, the evaluation of Bilingual Lexicon Induction have been quite hazardous and inconsistent across works.
Data Selection for Bilingual Lexicon Induction from Specialized Comparable Corpora
In this paper, we contrast several data selection techniques to improve bilingual lexicon induction from specialized comparable corpora.
SEDAR: a Large Scale French-English Financial Domain Parallel Corpus
This paper describes the acquisition, preprocessing and characteristics of SEDAR, a large scale English-French parallel corpus for the financial domain.
HardEval: Focusing on Challenging Tokens to Assess Robustness of NER
To assess the robustness of NER systems, we propose an evaluation method that focuses on subsets of tokens that represent specific sources of errors: unknown words and label shift or ambiguity.
Contextualized Word Representations from Distant Supervision with and for NER
We describe a special type of deep contextualized word representation that is learned from distant supervision annotations and dedicated to named entity recognition.
WiNER: A Wikipedia Annotated Corpus for Named Entity Recognition
We revisit the idea of mining Wikipedia in order to generate named-entity annotations.
Users and Data: The Two Neglected Children of Bilingual Natural Language Processing Research
Despite numerous studies devoted to mining parallel material from bilingual data, we have yet to see the resulting technologies wholeheartedly adopted by professional translators and terminologists alike.
Reranking Translation Candidates Produced by Several Bilingual Word Similarity Sources
We investigate the reranking of the output of several distributional approaches on the Bilingual Lexicon Induction task.
WikiCoref: An English Coreference-annotated Corpus of Wikipedia Articles
This paper presents WikiCoref, an English corpus annotated for anaphoric relations, where all documents are from the English version of Wikipedia.
An Iterative Approach for Mining Parallel Sentences in a Comparable Corpus
We describe an approach for mining parallel sentences in a collection of documents in two languages.
Hashtag Occurrences, Layout and Translation: A Corpus-driven Analysis of Tweets Published by the Canadian Government
A manual analysis of the bilingual alignment of 5000 hashtags shows that 5{\%} (French) to 18{\%} (English) of them don{'}t have a counterpart in their containing tweet{'}s translation.
