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Methodology
← Resources & Methods
Natural Language Processing
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Lexical Semantics
686 directly classified papers
Papers per year
2003: 2
2008: 2
2010: 2
2011: 1
2013: 1
2015: 1
2016: 18
2017: 48
2018: 59
2019: 83
2020: 90
2021: 91
2022: 48
2023: 62
2024: 77
2025: 68
2026: 33
Papers
GlossReader at SemEval-2021 Task 2: Reading Definitions Improves Contextualized Word Embeddings
IJCNLP 2021
XRJL-HKUST at SemEval-2021 Task 4: WordNet-Enhanced Dual Multi-head Co-Attention for Reading Comprehension of Abstract Meaning
IJCNLP 2021
InFillmore: Frame-Guided Language Generation with Bidirectional Context
IJCNLP 2021
XRJL-HKUST at SemEval-2021 Task 4: WordNet-Enhanced Dual Multi-head Co-Attention for Reading Comprehension of Abstract Meaning
SEMEVAL 2021
BMEAUT at SemEval-2020 Task 2: Lexical Entailment with Semantic Graphs
SEMEVAL 2020
Morphologically Aware Word-Level Translation
COLING 2020
SemEval-2020 Task 2: Predicting Multilingual and Cross-Lingual (Graded) Lexical Entailment
COLING 2020
Conception: Multilingually-Enhanced, Human-Readable Concept Vector Representations
COLING 2020
UiO-UvA at SemEval-2020 Task 1: Contextualised Embeddings for Lexical Semantic Change Detection
SEMEVAL 2020
SHIKEBLCU at SemEval-2020 Task 2: An External Knowledge-enhanced Matrix for Multilingual and Cross-Lingual Lexical Entailment
SEMEVAL 2020
Exploiting WordNet Synset and Hypernym Representations for Answer Selection
AACL 2020
Word associations and the distance properties of context-aware word embeddings
CONLL 2020
An Expectation Maximisation Algorithm for Automated Cognate Detection
CONLL 2020
Hitachi at SemEval-2020 Task 3: Exploring the Representation Spaces of Transformers for Human Sense Word Similarity
SEMEVAL 2020
UoB at SemEval-2020 Task 1: Automatic Identification of Novel Word Senses
SEMEVAL 2020
DCC-Uchile at SemEval-2020 Task 1: Temporal Referencing Word Embeddings
SEMEVAL 2020
BOS at SemEval-2020 Task 1: Word Sense Induction via Lexical Substitution for Lexical Semantic Change Detection
SEMEVAL 2020
UZH at SemEval-2020 Task 3: Combining BERT with WordNet Sense Embeddings to Predict Graded Word Similarity Changes
SEMEVAL 2020
MineriaUNAM at SemEval-2020 Task 3: Predicting Contextual WordSimilarity Using a Centroid Based Approach and Word Embeddings
SEMEVAL 2020
When is a bishop not like a rook? When it’s like a rabbi! Multi-prototype BERT embeddings for estimating semantic relationships
CONLL 2020
Word Embeddings as Tuples of Feature Probabilities
ACL 2020
SChME at SemEval-2020 Task 1: A Model Ensemble for Detecting Lexical Semantic Change
SEMEVAL 2020
Incorporating Extra Knowledge to Enhance Word Embedding
IJCAI 2020
The Knowledge Acquisition Bottleneck Problem in Multilingual Word Sense Disambiguation
IJCAI 2020
Recognizing Euphemisms and Dysphemisms Using Sentiment Analysis
ACL 2020
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