Co-occurring keywords · papers mentioning both
Papers
Learning Dense Representations of Phrases at Scale
ACL 2021
Learning to Answer Psychological Questionnaire for Personality Detection
EMNLP 2021
Less is More: Pretrain a Strong Siamese Encoder for Dense Text Retrieval Using a Weak Decoder
EMNLP 2021
Leveraging Capsule Routing to Associate Knowledge with Medical Literature Hierarchically
EMNLP 2021
LightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme Multi-label Text Classification
AAAI 2021
Model Agnostic Answer Reranking System for Adversarial Question Answering
EACL 2021
Modeling Mathematical Notation Semantics in Academic Papers
EMNLP 2021
Natural Language Processing Meets Quantum Physics: A Survey and Categorization
EMNLP 2021
Overcoming Poor Word Embeddings with Word Definitions
ACL 2021
PAUSE: Positive and Annealed Unlabeled Sentence Embedding
EMNLP 2021
ReadOnce Transformers: Reusable Representations of Text for Transformers
ACL 2021
Representing the Unification of Text Featurization using a Context-Free Grammar
AAAI 2021
Robust Fragment-Based Framework for Cross-lingual Sentence Retrieval
EMNLP 2021
Semantic Frame Forecast
NAACL 2021
Semantic Similarity Based Evaluation for Abstractive News Summarization
ACL 2021
Simultaneously Self-Attending to Text and Entities for Knowledge-Informed Text Representations
ACL 2021
Span Fine-tuning for Pre-trained Language Models
EMNLP 2021
STAR: Cross-modal [STA]tement [R]epresentation for selecting relevant mathematical premises
EACL 2021
Text Document Clustering: Wordnet vs. TF-IDF vs. Word Embeddings
EACL 2021
Textual Representations for Crosslingual Information Retrieval
ACL 2021
Transformer-based Screenplay Summarization Using Augmented Learning Representation with Dialogue Information
NAACL 2021
UNBERT: User-News Matching BERT for News Recommendation
IJCAI 2021
Understanding Politics via Contextualized Discourse Processing
EMNLP 2021
Unsupervised Learning of Discourse Structures using a Tree Autoencoder
AAAI 2021
Unsupervised Representation Disentanglement of Text: An Evaluation on Synthetic Datasets
ACL 2021