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This paper presents the Swarthmore College word- sense disambiguation system which was designed for the 2004 SENSEVAL3 competition. Our system participated in five tasks: the lexical sample tasks in Basque, …...

This paper presents the SemEval-2010 task on Coreference Resolution in Multi- ple Languages. The goal was to evaluate and compare automatic coreference reso- lution systems for six different languages (Catalan, …...

AbstractThe aim of this paper is to contribute to the debate on the issues raised by Morphologically Rich Languages, and more precisely to investigate, in a cross-paradigm perspective, the influence …...

We consider the problem of training a sta- tistical parser in the situation when there are multiple treebanks available, and these tree- banks are annotated according to different lin- guistic …...

AbstractWe release a massive expansion of the paraphrase database (PPDB) that now includes a collection of paraphrases in 23 different languages. The resource is derived from large volumes of bilingual …...

Neural machine translation (NMT) models are conventionally trained with fixed-size vocabu- laries to control the computational complexity and the quality of the learned word represen- tations. This, however, limits the …...

The paper presents a new methodology aimed at acquiring typological evidence from “gold” treebanks for different languages. In particular, it investigates whether and to what extent algorithms developed for assessing …...

AbstractRecent studies have demonstrated the effectiveness of cross-lingual language model pre-training on different NLP tasks, such as natural language inference and machine translation. In our work, we test this approach …...

AbstractIn this paper, we introduce UniSent universal sentiment lexica for 1000+ languages. Sentiment lexica are vital for sentiment analysis in absence of document-level annotations, a very common scenario for low-resource …...

AbstractWe develop high performance multilingual Abstract Meaning Representation (AMR) systems by projecting English AMR annotations to other languages with weak supervision. We achieve this goal by bootstrapping transformer-based multilingual word …...

AbstractWhile the field of style transfer (ST) has been growing rapidly, it has been hampered by a lack of standardized practices for automatic evaluation. In this paper, we evaluate leading …...

Simultaneous machine translation (SIMT) in- volves translating source utterances to the tar- get language in real-time before the speaker utterance completes. This paper proposes the multilingual approach to SIMT, where …...

AbstractWe introduce DivEMT, the first publicly available post-editing study of Neural Machine Translation (NMT) over a typologically diverse set of target languages. Using a strictly controlled setup, 18 professional translators …...

AbstractThe aim of this study was to compare the morphological complexity in a corpus representing the language production of younger and older children across different languages. The language samples were …...

AbstractThis paper describes a multilingual persuasion detection system that incorporates persuasion technique attributes for a multi-label classification task. The proposed method has two advantages. First, it combines persuasion features with …...