SOTAVerified

Word Sense Disambiguation

The task of Word Sense Disambiguation (WSD) consists of associating words in context with their most suitable entry in a pre-defined sense inventory. The de-facto sense inventory for English in WSD is WordNet.. For example, given the word “mouse” and the following sentence:

“A mouse consists of an object held in one's hand, with one or more buttons.”

we would assign “mouse” with its electronic device sense (the 4th sense in the WordNet sense inventory).

Papers

Showing 251300 of 1035 papers

TitleStatusHype
CPN-CORE: A Text Semantic Similarity System Infused with Opinion Knowledge0
Creating and Validating Multilingual Semantic Representations for Six Languages: Expert versus Non-Expert Crowds0
Creation of Lexical Relations for IndoWordNet0
Cro36WSD: A Lexical Sample for Croatian Word Sense Disambiguation0
A Comparison of Smoothing Techniques for Bilingual Lexicon Extraction from Comparable Corpora0
Dive deeper: Deep Semantics for Sentiment Analysis0
DKPro TC: A Java-based Framework for Supervised Learning Experiments on Textual Data0
A Survey on Automatically-Constructed WordNets and their Evaluation: Lexical and Word Embedding-based Approaches0
A Study of Hybrid Similarity Measures for Semantic Relation Extraction0
An Algorithm for Fuzzification of WordNets, Supported by a Mathematical Proof0
A Study of Heterogeneous Similarity Measures for Semantic Relation Extraction0
AMuSE-WSD: An All-in-one Multilingual System for Easy Word Sense Disambiguation0
Abstractive Text Summarization: Enhancing Sequence-to-Sequence Models Using Word Sense Disambiguation and Semantic Content Generalization0
A Bambara Tonalization System for Word Sense Disambiguation Using Differential Coding, Segmentation and Edit Operation Filtering0
A Step-wise Usage-based Method for Inducing Polysemy-aware Verb Classes0
A State of the Art of Word Sense Induction: A Way Towards Word Sense Disambiguation for Under-Resourced Languages0
A Multi- versus a Single-classifier Approach for the Identification of Modality in the Portuguese Language0
Desambigua \~ao de Hom\'ografos-Heter\'ofonos por Aprendizado de M\'aquina em Portugu\^es Brasileiro (A Machine Learning Approach for Homographic Heterophone Disambiguation in Brazilian Portuguese)0
Density Maximization in Context-Sense Metric Space for All-words WSD0
A State of the Art of Word Sense Induction: A Way Towards Word Sense Disambiguation for Under-Resourced Languages (\'Etat de l'art de l'induction de sens: une voie vers la d\'esambigu\" lexicale pour les langues peu dot\'ees) [in French]0
Dense Components in the Structure of WordNet0
Decomposing Word Embedding with the Capsule Network0
Assigning Connotation Values to Events0
A Multilingual Wikified Data Set of Educational Material0
Desambigua \~ao Lexical de Sentido com uso de Informa \~ao Multidocumento por meio de Redes de Co-ocorr\^encia (Word Sense Disambiguation with the Use of Multi-document Information with Cooccurrence Nets) [in Portuguese]0
A Comparison of Selectional Preference Models for Automatic Verb Classification0
Detecting Most Frequent Sense using Word Embeddings and BabelNet0
Detecting New Word Meanings: A Comparison of Word Embedding Models in Spanish0
Detecting Non-compositional MWE Components using Wiktionary0
Astro-HEP-BERT: A bidirectional language model for studying the meanings of concepts in astrophysics and high energy physics0
Detection of Peculiar Word Sense by Distance Metric Learning with Labeled Examples0
Determining Compositionality of Word Expressions Using Word Space Models0
Developing an interlingual translation lexicon using WordNets and Grammatical Framework0
Developing New Linguistic Resources and Tools for the Galician Language0
DFKI: Multi-objective Optimization for the Joint Disambiguation of Entities and Nouns \& Deep Verb Sense Disambiguation0
DiBiMT: A Novel Benchmark for Measuring Word Sense Disambiguation Biases in Machine Translation0
A Survey on Lexical Ambiguity Detection and Word Sense Disambiguation0
Difficult Cases: From Data to Learning, and Back0
(Digital) Goodies from the ERC Wishing Well: BabelNet, Babelfy, Video Games with a Purpose and the Wikipedia Bitaxonomy0
Dijkstra-WSA: A Graph-Based Approach to Word Sense Alignment0
Disambiguated skip-gram model0
Disambiguating prepositional phrase attachment sites with sense information captured in contextualized distributional data0
Disambiguating Verbs by Collocation: Corpus Lexicography meets Natural Language Processing0
Disambiguation of Basic Action Types through Nouns' Telic Qualia0
Augmenters at SemEval-2023 Task 1: Enhancing CLIP in Handling Compositionality and Ambiguity for Zero-Shot Visual WSD through Prompt Augmentation and Text-To-Image Diffusion0
Discovering Missing Wikipedia Inter-language Links by means of Cross-lingual Word Sense Disambiguation0
Discrimination-Net for Hindi0
Distant Supervision for Relation Extraction with Multi-sense Word Embedding0
Distinguishing Common and Proper Nouns0
Distributional Lesk: Effective Knowledge-Based Word Sense Disambiguation0
Show:102550
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1COSINE + Transductive LearningAccuracy85.3Unverified
2PaLM 540B (finetuned)Accuracy78.8Unverified
3ST-MoE-32B 269B (fine-tuned)Accuracy77.7Unverified
4DeBERTa-EnsembleAccuracy77.5Unverified
5Vega v2 6B (fine-tuned)Accuracy77.4Unverified
6UL2 20B (fine-tuned)Accuracy77.3Unverified
7Turing NLR v5 XXL 5.4B (fine-tuned)Accuracy77.1Unverified
8T5-XXL 11BAccuracy76.9Unverified
9DeBERTa-1.5BAccuracy76.4Unverified
10ST-MoE-L 4.1B (fine-tuned)Accuracy74Unverified
#ModelMetricClaimedVerifiedStatus
1SANDWiCHSenseval 287.8Unverified
2GlossGPTSenseval 286.1Unverified
3ConSeC+WNGCSenseval 282.7Unverified
4ESR+WNGCSenseval 282.5Unverified
5ConSeCSenseval 282.3Unverified
6ESCHER SemCorSenseval 281.7Unverified
7ESRSenseval 281.3Unverified
8EWISER+WNGCSenseval 280.8Unverified
9SemCor+WNGC, hypernymsSenseval 279.7Unverified
10SparseLMMS+WNGCSenseval 279.6Unverified
#ModelMetricClaimedVerifiedStatus
1Human BenchmarkAccuracy0.81Unverified
2ruT5-large-finetuneAccuracy0.74Unverified
3RuBERT conversationalAccuracy0.73Unverified
4RuBERT plainAccuracy0.73Unverified
5ruRoberta-large finetuneAccuracy0.72Unverified
6ruBert-base finetuneAccuracy0.71Unverified
7Multilingual BertAccuracy0.69Unverified
8ruT5-base-finetuneAccuracy0.68Unverified
9ruBert-large finetuneAccuracy0.68Unverified
10SBERT_Large_mt_ru_finetuningAccuracy0.66Unverified
#ModelMetricClaimedVerifiedStatus
1SemCor+WNGC, hypernymsF178.7Unverified
2SemCor+WNGT, vocabulary reduced, ensembleF172.63Unverified
3LSTMLP (T:SemCor, U:1K)F169.5Unverified
4LSTMLP (T:OMSTI, U:1K)F168.1Unverified
5LSTMLP (T:SemCor, U:OMSTI)F167.9Unverified
6LSTM (T:OMSTI)F167.3Unverified
7GASext (Concatenation)F167.2Unverified
8GASext (Linear)F167.1Unverified
9GAS (Concatenation)F167Unverified
10LSTM (T:SemCor)F167Unverified
#ModelMetricClaimedVerifiedStatus
1SemCor+WNGC, hypernymsF179.7Unverified
2SemCor+WNGT, vocabulary reduced, ensembleF175.15Unverified
3LSTMLP (T:OMSTI, U:1K)F174.4Unverified
4LSTMLP (T:SemCor, U:OMSTI)F173.9Unverified
5LSTMLP (T:SemCor, U:1K)F173.8Unverified
6LSTM (T:SemCor)F173.6Unverified
7GASext (Linear)F172.4Unverified
8LSTM (T:OMSTI)F172.4Unverified
9GASext (Concatenation)F172.2Unverified
10GAS (Concatenation)F172.1Unverified
#ModelMetricClaimedVerifiedStatus
1SemCor+WNGC, hypernymsF177.8Unverified
2LSTMLP (T:SemCor, U:1K)F171.8Unverified
3LSTMLP (T:SemCor, U:OMSTI)F171.1Unverified
4LSTMLP (T:OMSTI, U:1K)F171Unverified
5GASext (Concatenation)F170.5Unverified
6GAS (Concatenation)F170.2Unverified
7SemCor+WNGT, vocabulary reduced, ensembleF170.11Unverified
8GASext (Linear)F170.1Unverified
9GAS (Linear)F170Unverified
10LSTM (T:SemCor)F169.2Unverified
#ModelMetricClaimedVerifiedStatus
1SemCor+WNGC, hypernymsF190.4Unverified
2SemCor+WNGT, vocabulary reduced, ensembleF186.02Unverified
3kNN-BERT + POS (training corpus: WNGT)F185.32Unverified
4LSTMLP (T:SemCor, U:OMSTI)F184.3Unverified
5LSTMLP (T:SemCor, U:1K)F183.6Unverified
6LSTMLP (T:OMSTI, U:1K)F183.3Unverified
7LSTM (T:SemCor)F182.8Unverified
8ShotgunWSD 2.0F181.22Unverified
9kNN-BERTF181.2Unverified
10LSTM (T:OMSTI)F181.1Unverified
#ModelMetricClaimedVerifiedStatus
1SemCor+WNGC, hypernymsF173.4Unverified
2SemCor+WNGT, vocabulary reduced, ensembleF166.81Unverified
3LSTM (T:SemCor)F164.2Unverified
4LSTMLP (T:SemCor, U:OMSTI)F163.7Unverified
5LSTMLP (T:SemCor, U:1K)F163.5Unverified
6LSTMLP (T:OMSTI, U:1K)F163.3Unverified
7kNN-BERT + POS (training corpus: SemCor)F163.17Unverified
8kNN-BERTF160.94Unverified
9LSTM (T:OMSTI)F160.7Unverified
#ModelMetricClaimedVerifiedStatus
1GlossGPTF1 (Zeroshot Dev)81.8Unverified
2ESR LargeF1 (Zeroshot Dev)77.4Unverified
3ESR baseF1 (Zeroshot Dev)73.9Unverified
4SEMEq LargeF1 (Zeroshot Dev)73.7Unverified
5SEMeq baseF1 (Zeroshot Dev)71.5Unverified
6RTWE largeF1 (Zero shot test)69.9Unverified
7LeskF1 (Zeroshot Dev)40.1Unverified
8MFSF1 (Zeroshot Dev)0Unverified
#ModelMetricClaimedVerifiedStatus
1HumanTask 3 Accuracy: all85.3Unverified
2transformersTask 1 Accuracy: all77.8Unverified
3CTLRTask 1 Accuracy: all76.8Unverified
4GlossBert-wsTask 1 Accuracy: all75.9Unverified
5Bert-baseTask 1 Accuracy: all75.3Unverified
6Unsupervised BertTask 1 Accuracy: all54.4Unverified
7FastTextTask 1 Accuracy: all53.7Unverified
8All trueTask 1 Accuracy: all50.8Unverified
#ModelMetricClaimedVerifiedStatus
1Chinchilla-70B (few-shot, k=5)Accuracy69.1Unverified
2Gopher-280B (few-shot, k=5)Accuracy56.4Unverified
3OPT 175BAccuracy49.1Unverified
4GAL 120B (few-shot, k=5)Accuracy48.7Unverified
5GAL 30B (few-shot, k=5)Accuracy47Unverified
6BLOOM 176BAccuracy1.3Unverified
#ModelMetricClaimedVerifiedStatus
1UKBppr_w2wSenseval 268.8Unverified
2KEFAll68Unverified
3WSD-TMAll66.9Unverified
4BabelfyAll65.5Unverified
5WN 1st sense baselineAll65.2Unverified
6UKBppr_w2w-nfAll57.5Unverified
#ModelMetricClaimedVerifiedStatus
1SemCor+WNGC, hypernymsF182.6Unverified
2SemCor+WNGT, vocabulary reduced, ensembleF174.46Unverified
3GASext (Concatenation)F172.6Unverified
4GASext (Linear)F172.1Unverified
5GAS (Concatenation)F171.8Unverified
6GAS (Linear)F171.6Unverified
#ModelMetricClaimedVerifiedStatus
1kNN-BERTF180.12Unverified
2IMS + adapted CWF173.4Unverified
3BiLSTM with GloVeF173.4Unverified
4Single BiLSTMF172.5Unverified
#ModelMetricClaimedVerifiedStatus
1kNN-BERTF176.52Unverified
2BiLSTM with GloVeF166.9Unverified
3IMS + adapted CWF166.2Unverified
#ModelMetricClaimedVerifiedStatus
1SPINSequence Recovery %(All)30.3Unverified