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task ID: reversedictionary

Related Papers

Implementing a Reverse Dictionary, based on word definitions, using a Node-Graph Architecture

Authors: nan

Publication: TIPSTER (2016)

DOI: nan

AbstractIn this paper, we outline an approach to build graph-based reverse dictionaries using word definitions. A reverse dictionary takes a phrase as an input and outputs a list of words …...

4353

On the Importance of Distinguishing Word Meaning Representations: A Case Study on Reverse Dictionary Mapping

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractMeaning conflation deficiency is one of the main limiting factors of word representations which, given their widespread use at the core of many NLP systems, can lead to inaccurate semantic …...

22061

BERT for Monolingual and Cross-Lingual Reverse Dictionary

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractReverse dictionary is the task to find the proper target word given the word description. In this paper, we tried to incorporate BERT into this task. However, since BERT is …...

29666

BL.Research at SemEval-2022 Task 1: Deep networks for Reverse Dictionary using embeddings and LSTM autoencoders

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractThis paper describes our two deep learning systems that competed at SemEval-2022 Task 1 “CODWOE: Comparing Dictionaries and WOrd Embeddings”. We participated in the subtask for the reverse dictionary which …...

25164

Edinburgh at SemEval-2022 Task 1: Jointly Fishing for Word Embeddings and Definitions

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractThis paper presents a winning submission to the SemEval 2022 Task 1 on two sub-tasks: reverse dictionary and definition modelling. We leverage a recently proposed unified model with multi-task training. …...

25161

IRB-NLP at SemEval-2022 Task 1: Exploring the Relationship Between Words and Their Semantic Representations

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractWhat is the relation between a word and its description, or a word and its embedding? Both descriptions and embeddings are semantic representations of words. But, what information from the …...

25166