[PDF][PDF] Semeval-2013 task 12: Multilingual word sense disambiguation
This paper presents the SemEval-2013 task on multilingual Word Sense Disambiguation.
We describe our experience in producing a multilingual sense-annotated corpus for the task …
We describe our experience in producing a multilingual sense-annotated corpus for the task …
A survey on lexical simplification
GH Paetzold, L Specia - Journal of Artificial Intelligence Research, 2017 - jair.org
Lexical Simplification is the process of replacing complex words in a given sentence with
simpler alternatives of equivalent meaning. This task has wide applicability both as an …
simpler alternatives of equivalent meaning. This task has wide applicability both as an …
[PDF][PDF] Improving word sense disambiguation in neural machine translation with sense embeddings
AR Gonzales, L Mascarell… - Proceedings of the Second …, 2017 - aclanthology.org
Word sense disambiguation is necessary in translation because different word senses often
have different translations. Neural machine translation models learn different senses of …
have different translations. Neural machine translation models learn different senses of …
[PDF][PDF] On the role of seed lexicons in learning bilingual word embeddings
A shared bilingual word embedding space (SBWES) is an indispensable resource in a
variety of cross-language NLP and IR tasks. A common approach to the SBWES induction is …
variety of cross-language NLP and IR tasks. A common approach to the SBWES induction is …
SemEval-2021 task 2: Multilingual and cross-lingual word-in-context disambiguation (MCL-WiC)
In this paper, we introduce the first SemEval task on Multilingual and Cross-Lingual Wordin-
Context disambiguation (MCL-WiC). This task allows the largely under-investigated inherent …
Context disambiguation (MCL-WiC). This task allows the largely under-investigated inherent …
Design and evaluation of metaphor processing systems
E Shutova - Computational Linguistics, 2015 - direct.mit.edu
Abstract System design and evaluation methodologies receive significant attention in natural
language processing (NLP), with the systems typically being evaluated on a common task …
language processing (NLP), with the systems typically being evaluated on a common task …
A quick tour of word sense disambiguation, induction and related approaches
R Navigli - SOFSEM 2012: Theory and Practice of Computer …, 2012 - Springer
Abstract Word Sense Disambiguation (WSD) and Word Sense Induction (WSI) are two
fundamental tasks in Natural Language Processing (NLP), ie, those of, respectively …
fundamental tasks in Natural Language Processing (NLP), ie, those of, respectively …
Measuring word meaning in context
Word sense disambiguation (WSD) is an old and important task in computational linguistics
that still remains challenging, to machines as well as to human annotators. Recently there …
that still remains challenging, to machines as well as to human annotators. Recently there …
Word sense clustering and clusterability
Word sense disambiguation and the related field of automated word sense induction
traditionally assume that the occurrences of a lemma can be partitioned into senses. But this …
traditionally assume that the occurrences of a lemma can be partitioned into senses. But this …
DiBiMT: A Gold Evaluation Benchmark for Studying Lexical Ambiguity in Machine Translation
Despite the remarkable progress made in the field of Machine Translation (MT), current
systems still struggle when translating ambiguous words, especially when these express …
systems still struggle when translating ambiguous words, especially when these express …