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Text Representation

2246 directly classified papers

Papers per year

Papers

Using Context-to-Vector with Graph Retrofitting to Improve Word Embeddings ACL 2022
KeywordScape: Visual Document Exploration using Contextualized Keyword Embeddings EMNLP 2022
TEXTOIR: An Integrated and Visualized Platform for Text Open Intent Recognition ACL 2021
Are we human, or are we users? The role of natural language processing in human-centric news recommenders that nudge users to diverse content ACL 2021
Morphology-Aware Meta-Embeddings for Tamil NAACL 2021
Learning Embeddings for Rare Words Leveraging Internet Search Engine and Spatial Location Relationships ACL 2021
Profiling of Intertextuality in Latin Literature Using Word Embeddings NAACL 2021
TopGuNN: Fast NLP Training Data Augmentation using Large Corpora NAACL 2021
User-Generated Text Corpus for Evaluating Japanese Morphological Analysis and Lexical Normalization NAACL 2021
Overcoming Poor Word Embeddings with Word Definitions IJCNLP 2021
Stanford MLab at SemEval-2021 Task 1: Tree-Based Modelling of Lexical Complexity using Word Embeddings IJCNLP 2021
TUDA-CCL at SemEval-2021 Task 1: Using Gradient-boosted Regression Tree Ensembles Trained on a Heterogeneous Feature Set for Predicting Lexical Complexity ACL 2021
CLULEX at SemEval-2021 Task 1: A Simple System Goes a Long Way IJCNLP 2021
LangResearchLab NC at SemEval-2021 Task 1: Linguistic Feature Based Modelling for Lexical Complexity ACL 2021
KnowGraph@IITK at SemEval-2021 Task 11: Building Knowledge Graph for NLP Research ACL 2021
LexFit: Lexical Fine-Tuning of Pretrained Language Models ACL 2021
NPVec1: Word Embeddings for Nepali - Construction and Evaluation IJCNLP 2021
Tracking Semantic Change in Cognate Sets for English and Romance Languages IJCNLP 2021
Language Embeddings for Typology and Cross-lingual Transfer Learning ACL 2021
Linguistic change and historical periodization of Old Literary Finnish IJCNLP 2021
Private Release of Text Embedding Vectors NAACL 2021
DefSent: Sentence Embeddings using Definition Sentences IJCNLP 2021
Obtaining Better Static Word Embeddings Using Contextual Embedding Models IJCNLP 2021
Pre-training Universal Language Representation IJCNLP 2021
Measuring Biases of Word Embeddings: What Similarity Measures and Descriptive Statistics to Use? NAACL 2021