conftrace_

Natural Language Processing

47,076 papers (54 classified directly here)

Subtopics

Applications (26,986) Resources & Methods (16,283) Generation (11,966) Understanding (7,071)

Papers per year

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Papers (including subtopics)

Entity Linking in 100 Languages EMNLP 2020
PatchBERT: Just-in-Time, Out-of-Vocabulary Patching EMNLP 2020
On the importance of pre-training data volume for compact language models EMNLP 2020
Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting EMNLP 2020
Exploring and Predicting Transferability across NLP Tasks EMNLP 2020
To BERT or Not to BERT: Comparing Task-specific and Task-agnostic Semi-Supervised Approaches for Sequence Tagging EMNLP 2020
Cold-start Active Learning through Self-supervised Language Modeling EMNLP 2020
Active Learning for BERT: An Empirical Study EMNLP 2020
Vector-Vector-Matrix Architecture: A Novel Hardware-Aware Framework for Low-Latency Inference in NLP Applications EMNLP 2020
The importance of fillers for text representations of speech transcripts EMNLP 2020
Effectively pretraining a speech translation decoder with Machine Translation data EMNLP 2020
A Preliminary Exploration of GANs for Keyphrase Generation EMNLP 2020
TESA: A Task in Entity Semantic Aggregation for Abstractive Summarization EMNLP 2020
MLSUM: The Multilingual Summarization Corpus EMNLP 2020
Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles EMNLP 2020
Intrinsic Evaluation of Summarization Datasets EMNLP 2020
Iterative Feature Mining for Constraint-Based Data Collection to Increase Data Diversity and Model Robustness EMNLP 2020
Conversational Semantic Parsing for Dialog State Tracking EMNLP 2020
Interview: Large-scale Modeling of Media Dialog with Discourse Patterns and Knowledge Grounding EMNLP 2020
INSPIRED: Toward Sociable Recommendation Dialog Systems EMNLP 2020
Information Seeking in the Spirit of Learning: A Dataset for Conversational Curiosity EMNLP 2020
Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation EMNLP 2020
Discriminatively-Tuned Generative Classifiers for Robust Natural Language Inference EMNLP 2020
New Protocols and Negative Results for Textual Entailment Data Collection EMNLP 2020
Universal Natural Language Processing with Limited Annotations: Try Few-shot Textual Entailment as a Start EMNLP 2020