Papers Reverse Dictionary
“Reverse Dictionary” 태그가 달린 논문 35편 · 필터 해제
Advancing Arabic Reverse Dictionary Systems: A Transformer-Based Approach with Dataset Construction Guidelines
This study addresses the critical gap in Arabic natural language processing by developing an effective Arabic Reverse Dictionary (RD) system that enables users to find words based on their descriptions or meanings. We pr…
Reverse DictionaryHuman-like conceptual representations emerge from language prediction
People acquire concepts through rich physical and social experiences and use them to understand the world. In contrast, large language models (LLMs), trained exclusively through next-token prediction over language data, …
PredictionReverse DictionaryGEAR: A Simple GENERATE, EMBED, AVERAGE AND RANK Approach for Unsupervised Reverse Dictionary
Reverse Dictionary (RD) is the task of obtaining the most relevant word or set of words given a textual description or dictionary definition. Effective RD methods have applications in accessibility, translation or writin…
Reverse DictionarySentenceSentence EmbeddingsThe Mechanics of Conceptual Interpretation in GPT Models: Interpretative Insights
Locating and editing knowledge in large language models (LLMs) is crucial for enhancing their accuracy, safety, and inference rationale. We introduce ``concept editing'', an innovative variation of knowledge editing that…
knowledge editingReverse DictionarySõnajaht: Definition Embeddings and Semantic Search for Reverse Dictionary Creation
We present an information retrieval based reverse dictionary system using modern pre-trained language models and approximate nearest neighbors search algorithms. The proposed approach is applied to an existing Estonian l…
Information RetrievalRetrievalReverse DictionaryOn the Tip of the Tongue: Analyzing Conceptual Representation in Large Language Models with Reverse-Dictionary Probe
Probing and enhancing large language models' reasoning capacity remains a crucial open question. Here we re-purpose the reverse dictionary task as a case study to probe LLMs' capacity for conceptual inference. We use in-…
In-Context LearningReverse DictionaryTowards a Transformer-Based Reverse Dictionary Model for Quality Estimation of Definitions
In the last years, several variants of transformers have emerged. In this paper, we compare different transformer-based models for solving the reverse dictionary task and explore their use in the context of a serious gam…
Reverse DictionaryRosetta Stone at KSAA-RD Shared Task: A Hop From Language Modeling To Word--Definition Alignment
A Reverse Dictionary is a tool enabling users to discover a word based on its provided definition, meaning, or description. Such a technique proves valuable in various scenarios, aiding language learners who possess a de…
Language ModelingLanguage ModellingReverse DictionaryCreating Reverse Bilingual Dictionaries
Bilingual dictionaries are expensive resources and not many are available when one of the languages is resource-poor. In this paper, we propose algorithms for creation of new reverse bilingual dictionaries from existing …
Reverse DictionaryLingJing at SemEval-2022 Task 1: Multi-task Self-supervised Pre-training for Multilingual Reverse Dictionary
This paper introduces the approach of Team LingJing’s experiments on SemEval-2022 Task 1 Comparing Dictionaries and Word Embeddings (CODWOE). This task aims at comparing two types of semantic descriptions and including t…
Reverse DictionaryWord EmbeddingsTLDR at SemEval-2022 Task 1: Using Transformers to Learn Dictionaries and Representations
We propose a pair of deep learning models, which employ unsupervised pretraining, attention mechanisms and contrastive learning for representation learning from dictionary definitions, and definition modeling from such r…
Contrastive LearningRepresentation LearningReverse DictionaryWord EmbeddingsMMG at SemEval-2022 Task 1: A Reverse Dictionary approach based on a review of the dataset from a lexicographic perspective
This paper presents a novel and linguistic-driven system for the Spanish Reverse Dictionary task of SemEval-2022 Task 1. The aim of this task is the automatic generation of a word using its gloss. The conclusion is that …
Reverse DictionaryEdinburgh at SemEval-2022 Task 1: Jointly Fishing for Word Embeddings and Definitions
This 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. It utilizes data …
Definition ExtractionDefinition ModellingReverse DictionaryWord EmbeddingsUppsala University at SemEval-2022 Task 1: Can Foreign Entries Enhance an English Reverse Dictionary?
We present the Uppsala University system for SemEval-2022 Task 1: Comparing Dictionaries and Word Embeddings (CODWOE). We explore the performance of multilingual reverse dictionaries as well as the possibility of utilizi…
Machine TranslationReverse DictionaryTranslationWord EmbeddingsBL.Research at SemEval-2022 Task 1: Deep networks for Reverse Dictionary using embeddings and LSTM autoencoders
This 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 consists in ge…
PositionReverse DictionaryWord EmbeddingsJSI at SemEval-2022 Task 1: CODWOE - Reverse Dictionary: Monolingual and cross-lingual approaches
The reverse dictionary task is a sequence-to-vector task in which a gloss is provided as input, and the output must be a semantically matching word vector. The reverse dictionary is useful in practical applications such …
Reverse DictionaryZero-Shot Learning1Cademy at Semeval-2022 Task 1: Investigating the Effectiveness of Multilingual, Multitask, and Language-Agnostic Tricks for the Reverse Dictionary Task
This paper describes our system for the SemEval2022 task of matching dictionary glosses to word embeddings. We focus on the Reverse Dictionary Track of the competition, which maps multilingual glosses to reconstructed ve…
Reverse DictionaryWord EmbeddingsLeveraging a Bilingual Dictionary to Learn Wolastoqey Word Representations
Word embeddings (Mikolov et al., 2013; Pennington et al., 2014) have been used to bolster the performance of natural language processing systems in a wide variety of tasks, including information retrieval (Roy et al., 20…
Information RetrievalLearning Word EmbeddingsMachine TranslationRetrieval+3IRB-NLP at SemEval-2022 Task 1: Exploring the Relationship Between Words and Their Semantic Representations
What 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 original word remains in these …
DescriptiveReverse DictionaryWord EmbeddingsA Unified Model for Reverse Dictionary and Definition Modelling
We build a dual-way neural dictionary to retrieve words given definitions, and produce definitions for queried words. The model learns the two tasks simultaneously and handles unknown words via embeddings. It casts a wor…
Definition ModellingReverse Dictionary