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Methodology
← Understanding
Natural Language Processing
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Understanding
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Semantic Analysis
2901 directly classified papers
Papers per year
2005: 1
2006: 1
2008: 1
2009: 2
2010: 3
2011: 1
2012: 1
2013: 3
2015: 2
2016: 37
2017: 150
2018: 153
2019: 250
2020: 310
2021: 378
2022: 361
2023: 380
2024: 403
2025: 402
2026: 62
Papers
ADEPT: An Adjective-Dependent Plausibility Task
ACL 2021
Position Bias Mitigation: A Knowledge-Aware Graph Model for Emotion Cause Extraction
ACL 2021
Modeling Human Mental States with an Entity-based Narrative Graph
NAACL 2021
Context Tracking Network: Graph-based Context Modeling for Implicit Discourse Relation Recognition
NAACL 2021
Pushing on Text Readability Assessment: A Transformer Meets Handcrafted Linguistic Features
EMNLP 2021
Lotus at SemEval-2021 Task 2: Combination of BERT and Paraphrasing for English Word Sense Disambiguation
ACL 2021
Superbizarre Is Not Superb: Derivational Morphology Improves BERT’s Interpretation of Complex Words
ACL 2021
Simple or Complex? Learning to Predict Readability of Bengali Texts
AAAI 2021
SzegedAI at SemEval-2021 Task 2: Zero-shot Approach for Multilingual and Cross-lingual Word-in-Context Disambiguation
ACL 2021
Semantic Distance: A New Metric for ASR Performance Analysis Towards Spoken Language Understanding
INTERSPEECH 2021
MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained Language Models
EMNLP 2021
Finding Pragmatic Differences Between Disciplines
NAACL 2021
Low Anisotropy Sense Retrofitting (LASeR) : Towards Isotropic and Sense Enriched Representations
NAACL 2021
Reconstructing Implicit Knowledge with Language Models
NAACL 2021
Towards integrated, interactive, and extensible text data analytics with Leam
NAACL 2021
Sentence Complexity in Context
NAACL 2021
CogNLP-Sheffield at CMCL 2021 Shared Task: Blending Cognitively Inspired Features with Transformer-based Language Models for Predicting Eye Tracking Patterns
NAACL 2021
Team Ohio State at CMCL 2021 Shared Task: Fine-Tuned RoBERTa for Eye-Tracking Data Prediction
NAACL 2021
That Looks Hard: Characterizing Linguistic Complexity in Humans and Language Models
NAACL 2021
Rethinking End-to-End Evaluation of Decomposable Tasks: A Case Study on Spoken Language Understanding
INTERSPEECH 2021
Non-Complementarity of Information in Word-Embedding and Brain Representations in Distinguishing between Concrete and Abstract Words
NAACL 2021
SAFFRON: tranSfer leArning For Food-disease RelatiOn extractioN
NAACL 2021
Improving BERT Model Using Contrastive Learning for Biomedical Relation Extraction
NAACL 2021
Continuous Model Improvement for Language Understanding with Machine Translation
NAACL 2021
Identifying and Resolving Annotation Changes for Natural Language Understanding
NAACL 2021
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