ICL-HD at SemEval-2016 Task 10: Improving the Detection of Minimal Semantic Units and their Meanings with an Ontology and Word Embeddings
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Named Entity Recognition (NER)Word EmbeddingsWord Sense DisambiguationSimilar Papers 제목 키워드 기반
SemEval-2016 Task 10: Detecting Minimal Semantic Units and their Meanings (DiMSUM)
2016-06-01 · SEMEVAL 2016 6
· Nathan Schneider, Dirk Hovy, Anders Johannsen, Marine Carpuat
Part-Of-Speech TaggingWord Sense Disambiguation
From Incremental Meaning to Semantic Unit (phrase by phrase)
2016-04-17
· Andreas Scherbakov, Ekaterina Vylomova, Fei Liu, Timothy Baldwin
This paper describes an experimental approach to Detection of Minimal Semantic Units and their Meaning (DiMSUM), explored within the framework of SemEval 2016 Task 10. The approach is primarily based on a combination of …
Word EmbeddingsWHUNlp at SemEval-2016 Task DiMSUM: A Pilot Study in Detecting Minimal Semantic Units and their Meanings using Supervised Models
2016-06-01 · SEMEVAL 2016 6
· Xin Tang, Fei Li, Donghong Ji
Feature EngineeringMachine TranslationSemantic Parsing
BERT(s) to Detect Multiword Expressions
2022-08-16
· Damith Premasiri, Tharindu Ranasinghe
Multiword expressions (MWEs) present groups of words in which the meaning of the whole is not derived from the meaning of its parts. The task of processing MWEs is crucial in many natural language processing (NLP) applic…
Machine TranslationTranslationSemEval-2019 Task 1: Cross-lingual Semantic Parsing with UCCA
2019-03-06 · SEMEVAL 2019 6
· Daniel Hershcovich, Zohar Aizenbud, Leshem Choshen, Elior Sulem 외
We present the SemEval 2019 shared task on UCCA parsing in English, German and French, and discuss the participating systems and results. UCCA is a cross-linguistically applicable framework for semantic representation, w…
Semantic ParsingUCCA Parsing