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)

Semantic Complexity in End-to-End Spoken Language Understanding INTERSPEECH 2020
Complementary Language Model and Parallel Bi-LRNN for False Trigger Mitigation INTERSPEECH 2020
CopyCat: Many-to-Many Fine-Grained Prosody Transfer for Neural Text-to-Speech INTERSPEECH 2020
Improving the Prosody of RNN-Based English Text-To-Speech Synthesis by Incorporating a BERT Model INTERSPEECH 2020
Affective Conditioning on Hierarchical Attention Networks Applied to Depression Detection from Transcribed Clinical Interviews INTERSPEECH 2020
Privacy Guarantees for De-Identifying Text Transformations INTERSPEECH 2020
Improving Cross-Lingual Transfer Learning for End-to-End Speech Recognition with Speech Translation INTERSPEECH 2020
Style Variation as a Vantage Point for Code-Switching INTERSPEECH 2020
Contemporary Polish Language Model (Version 2) Using Big Data and Sub-Word Approach INTERSPEECH 2020
Improving Speech Recognition of Compound-Rich Languages INTERSPEECH 2020
Language Modeling for Speech Analytics in Under-Resourced Languages INTERSPEECH 2020
Cross Attention with Monotonic Alignment for Speech Transformer INTERSPEECH 2020
Greedy Attack and Gumbel Attack: Generating Adversarial Examples for Discrete Data JMLR 2020
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer JMLR 2020
Knowledge Base Completion for Constructing Problem-Oriented Medical Records MLHC 2020
Dynamically Extracting Outcome-Specific Problem Lists from Clinical Notes with Guided Multi-Headed Attention MLHC 2020
Time-Aware Transformer-based Network for Clinical Notes Series Prediction MLHC 2020
UPSTAGE: Unsupervised Context Augmentation for Utterance Classification in Patient-Provider Communication MLHC 2020
Robust Benchmarking for Machine Learning of Clinical Entity Extraction MLHC 2020
Grounding Language to Non-Markovian Tasks with No Supervision of Task Specifications RSS 2020
Robot Object Retrieval with Contextual Natural Language Queries RSS 2020
Simultaneously Learning Transferable Symbols and Language Groundings from Perceptual Data for Instruction Following RSS 2020
SemEval-2020 Task 2: Predicting Multilingual and Cross-Lingual (Graded) Lexical Entailment SEMEVAL 2020
DiaSense at SemEval-2020 Task 1: Modeling Sense Change via Pre-trained BERT Embeddings SEMEVAL 2020
BabelEnconding at SemEval-2020 Task 3: Contextual Similarity as a Combination of Multilingualism and Language Models SEMEVAL 2020