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 151200 of 1035 papers

TitleStatusHype
Improved Word Sense Disambiguation Using Pre-Trained Contextualized Word RepresentationsCode0
Unsupervised Visual Sense Disambiguation for Verbs using Multimodal EmbeddingsCode0
A Rule-Based System for Disambiguating French Locative Verbs and Their Translation into Arabic0
ARPA: A Novel Hybrid Model for Advancing Visual Word Disambiguation Using Large Language Models and Transformers0
A Rough Set Formalization of Quantitative Evaluation with Ambiguity0
A Robust Approach to Aligning Heterogeneous Lexical Resources0
Ambiguity Diagnosis for Terms in Digital Humanities0
Addressing Problems across Linguistic Levels in SMT: Combining Approaches to Model Morphology, Syntax and Lexical Choice0
ArabicNLU 2024: The First Arabic Natural Language Understanding Shared Task0
A Long Short-Term Memory Model for Answer Sentence Selection in Question Answering0
Arabic-English Text Translation Leveraging Hybrid NER0
Arabic Diacritization: Stats, Rules, and Hacks0
All-words Word Sense Disambiguation Using Concept Embeddings0
Addressing polysemy in bilingual lexicon extraction from comparable corpora0
A Comparison of Knowledge-based Algorithms for Graded Word Sense Assignment0
ArabGlossBERT: Fine-Tuning BERT on Context-Gloss Pairs for WSD0
A Quantum-Like Approach to Word Sense Disambiguation0
Alignment-based sense selection in METEOR and the RATATOUILLE recipe0
A Quadratic 0-1 Programming Approach for Word Sense Disambiguation0
A Probabilistic Co-Bootstrapping Method for Entity Set Expansion0
Aligning Verb Senses in Two Italian Lexical Semantic Resources0
Addressing Cross-Lingual Word Sense Disambiguation on Low-Density Languages: Application to Persian0
A Preliminary Study of Croatian Lexical Substitution0
Approche supervis\'ee \`a base de cellules LSTM bidirectionnelles pour la d\'esambigu\" lexicale (LSTM Based Supervised Approach for Word Sense Disambiguation)0
Approches d'analyse distributionnelle pour améliorer la désambiguïsation sémantique0
Applying Multi-Sense Embeddings for German Verbs to Determine Semantic Relatedness and to Detect Non-Literal Language0
A Layered Language Model based Hybrid Approach to Automatic Full Diacritization of Arabic0
Adding Distributional Semantics to Knowledge Base Entities through Web-scale Entity Linking0
A Comparative Study of Transformers on Word Sense Disambiguation0
A Broad Evaluation of Techniques for Automatic Acquisition of Multiword Expressions0
Applying cross-lingual WSD to wordnet development0
Applying a Naive Bayes Similarity Measure to Word Sense Disambiguation0
A Large-Scale Pseudoword-Based Evaluation Framework for State-of-the-Art Word Sense Disambiguation0
A Possibilistic Approach for Automatic Word Sense Disambiguation0
A Pilot Study on the Semantic Classification of Two German Prepositions: Combining Monolingual and Multilingual Evidence0
A Large DataBase of Hypernymy Relations Extracted from the Web.0
A Dataset of Translational Equivalents Built on the Basis of plWordNet-Princeton WordNet Synset Mapping0
A picture is worth a thousand words: Using OpenClipArt library for enriching IndoWordNet0
"A Passage to India": Pre-trained Word Embeddings for Indian Languages0
A Large Automatically-Acquired All-Words List of Multiword Expressions Scored for Compositionality0
``A Passage to India'': Pre-trained Word Embeddings for Indian Languages0
A language-independent LESK based approach to Word Sense Disambiguation0
Adapting VerbNet to French using existing resources0
A Comparative Evaluation of Word Sense Disambiguation Algorithms for German0
Ant Colony Algorithm for the Unsupervised Word Sense Disambiguation of Texts: Comparison and Evaluation0
A Novel Word Sense Disambiguation Approach Using WordNet Knowledge Graph0
A Knowledge-Based Approach to Word Sense Disambiguation by distributional selection and semantic features0
A Novel Neural Sequence Model with Multiple Attentions for Word Sense Disambiguation0
Anota \~ao de corpus com a OpenWordNet-PT: um exerc\' de desambigua \~ao (Sense annotation with OpenWordNet-PT: an exercise of word sense disambiguation)0
A Joint Sequential and Relational Model for Frame-Semantic Parsing0
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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