Domain
Related Papers
Finding Domain Terms using Wikipedia
AbstractIn this paper we present a new approach for obtaining the terminology of a given domain using the category and page structures of the Wikipedia in a language independent way. …...
SHELLFBK: An Information Retrieval-based System For Multi-Domain Sentiment Analysis
This paper describes the SHELLFBK system that participated in SemEval 2015 Tasks 9, 10, and 11. Our system takes a supervised approach that builds on techniques from in- formation retrieval. …...
Connecting Phrase based Statistical Machine Translation Adaptation
AbstractAlthough more additional corpora are now available for Statistical Machine Translation (SMT), only the ones which belong to the same or similar domains of the original corpus can indeed enhance …...
Learning Paraphrastic Sentence Embeddings from Back-Translated Bitext
AbstractWe consider the problem of learning general-purpose, paraphrastic sentence embeddings in the setting of Wieting et al. (2016b). We use neural machine translation to generate sentential paraphrases via back-translation of …...
Comparing Multilingual NMT Models and Pivoting
AbstractFollowing recent advancements in multilingual machine translation at scale, our team carried out tests to compare the performance of multilingual models (M2M from Facebook and multilingual models from Helsinki-NLP) with …...
Development of a Benchmark Corpus to Support Entity Recognition in Job Descriptions
AbstractWe present the development of a benchmark suite consisting of an annotation schema, training corpus and baseline model for Entity Recognition (ER) in job descriptions, published under a Creative Commons …...